Journal Papers

J. Konrad, M. Cokbas, M. Tezcan, and P. Ishwar, “Overhead fisheye cameras for indoor monitoring: challenges and recent progress,” Frontiers in Imaging, vol. 3, pp. 5759-5762, 2024.

H. Hu, J. Liu, L. Tian, J. Konrad, and R. Paiella, “Cell classification with phase-imaging meta-sensors,” Opt. Lett., vol. 49, pp. 5759-5762, 2024.

M. Cokbas, V. Pyltsov, J. Zolkos, M. Gevelber, and J. Konrad, “A comparison of occupancy-sensing and energy-saving performance: CO2 sensors versus fisheye cameras,” Energy Build., vol. 321, p. 114652, Aug. 2024.

J. Konrad, M. Cokbas, P. Ishwar, T. Little, and M. Gevelber, “High-accuracy people counting in large spaces using overhead fisheye cameras,” Energy Build., vol. 307, p. 113936, Mar. 2024.

M. Cokbas, P. Ishwar, and J. Konrad, “Spatio-visual fusion-based person re-identification for overhead fisheye images,” IEEE Access, vol. 11, pp. 46095-46106, May 2023.

Q. Zeng, M. Tezcan, and J. Konrad, “Dynamic equilibrium module for action recognition,” IEEE Access, vol. 9, pp. 168015-168025, Dec. 2021.

M. Tezcan, P. Ishwar, and J. Konrad, “BSUV-Net 2.0: Spatio-temporal data augmentation for video-agnostic supervised background subtraction,” IEEE Access, vol. 9, pp. 53849-53860, Apr. 2021.

N. Sae-Bae, J. Wu, N. Memon, J. Konrad, and P. Ishwar, “Emerging NUI-based methods for user authentication: A new taxonomy and survey,” IEEE Trans. Biometrics, Behavior, and Identity Science, vol. 1, pp. 5-31, Jan. 2019.

Z. Luo, F. Branchaud-Charron, C. Lemaire, J. Konrad, S. Li, A. Mishra, A. Achkar, J. Eichel, and P.-M. Jodoin, “MIO-TCD: A new benchmark dataset for vehicle classification and localization,” IEEE Trans. Image Process., vol. 27, pp. 5129-5141, Oct. 2018.

C. A. Tagge, A. M. Fisher, O. V. Minaeva, A. Gaudreau-Balderrama, J. A. Moncaster, X.-L. Zhang, M. W. Wojnarowicz, N. Casey, H. Lu, O. N. Kokiko-Cochran, S. Saman, M. Ericsson, K. D. Onos, R. Veksler, V. V. Senatorov, Jr, A. Kondo, X. Z. Zhou, O. Miry, L. R. Vose, K. R. Gopaul, C. Upreti, C. J. Nowinski, R. C. Cantu, V. E. Alvarez, A. M. Hildebrandt, E. S. Franz, J. Konrad, J. A. Hamilton, N. Hua, Y. Tripodis, A. T. Anderson, G. R. Howell, D. Kaufer, G. F. Hall, K. P. Lu, R. M. Ransohoff, R. O. Cleveland, N. W. Kowall, T. D. Stein, B. T. Lamb, B. R. Huber, W. C. Moss, A. Friedman, P. K. Stanton, A. C. McKee, and L. E. Goldstein, “Concussion, microvascular injury, and early tauopathy in young athletes after impact head injury and an impact concussion mouse model,” Brain, p. awx350, Jan. 2018.

A. Roy-Chowdhury, M. Kankanhalli, J. Konrad, C. Micheloni, and P. Varshney, “Introduction to the issue on signal processing for situational awareness from networked sensors and social media,” IEEE J. Spec. Topics Signal Process., vol. 9, pp. 201-203, Mar. 2015.

T. Cilingiroglu, A. Uyar, A. Tuysuzoglu, W. Karl, J. Konrad, B. B. Goldberg, and M. S. Ünlü, “Dictionary-based image reconstruction for superresolution in integrated circuit imaging,” Optics Express, vol. 23, no. 11, pp. 15072-15087, 2015.

N. Goyette, P.-M. Jodoin, F. Porikli, J. Konrad, and P. Ishwar, “A novel video dataset for change detection benchmarking,” IEEE Trans. Image Process., vol. 23, pp. 4663-4679, Nov. 2014.

J. Konrad, M. Wang, P. Ishwar, C. Wu, and D. Mukherjee, “Learning-based, automatic 2D-to-3D image and video conversion,” IEEE Trans. Image Process., vol. 22, pp. 3485-3496, Sept. 2013.

K. Guo, P. Ishwar, and J. Konrad, “Action recognition from video using feature covariance matrices,” IEEE Trans. Image Process., vol. 22, pp. 2479-2494, June 2013.

P.-M. Jodoin, V. Saligrama, and J. Konrad, “Behavior subtraction,” IEEE Trans. Image Process., vol. 21, pp. 4244-4255, Sept. 2012.

R. Chellappa, W. Heinzelman, J. Konrad, D. Schonfeld, and M. Wolf, “Special section on distributed camera networks: Sensing, processing, communication, and implementation,” IEEE Trans. Image Process., vol. 19, pp. 2513-2514, Oct. 2010.

V. Saligrama, J. Konrad, and P.-M. Jodoin, “Video anomaly identification: A statistical approach,” IEEE Signal Process. Mag., vol. 27, pp. 18-33, Sept. 2010.

C. S. Regazzoni, A. Cavallaro, Y. Wu, J. Konrad, and A. Hampapur, “Video analytics for surveillance: Theory and practice,” IEEE Signal Process. Mag., vol. 27, pp. 16-17, May 2010.

Z. Li, P. Ishwar, and J. Konrad, “Video condensation by ribbon carving,” IEEE Trans. Image Process., vol. 18, pp. 2572-2583, Nov. 2009.

J. McHugh, J. Konrad, V. Saligrama, and P.-M. Jodoin, “Foreground-adaptive background subtraction,” IEEE Signal Process. Lett., vol. 16, pp. 390-393, May 2009.

S. Ince and J. Konrad, “Occlusion-aware view interpolation,” EURASIP J. Image and Video Process., vol. doi:10.1155/2008/803231, 2008.

S. Ince and J. Konrad, “Occlusion-aware optical flow estimation,” IEEE Trans. Image Process., vol. 17, pp. 1443-1451, Aug. 2008.

P.-M. Jodoin, M. Mignotte, and J. Konrad, “Statistical background subtraction using spatial cues,” IEEE Trans. Circuits Syst. Video Technol., vol. 17, pp. 1758-1763, Dec. 2007.

J. Konrad and M. Halle, “3-D displays and signal processing: An answer to 3-D ills?,” IEEE Signal Process. Mag., vol. 24, pp. 97-111, Nov. 2007.

L. Oddsson, R. Karlsson, J. Konrad, S. Ince, S. Williams, and E. Zemkova, “A rehabilitation tool for functional balance using altered gravity and virtual reality,” Journal of NeuroEngineering and Rehabilitation, vol. 4 (25), July 2007.

M. Mendillo, S. Laurent, J. Wilson, J. Baumgardner, J. Konrad, and W. Karl, “The sources of sodium escaping from Io revealed by spectral high definition imaging,” Nature, vol. 448, pp. 330-332, July 2007.

P. McNerney, J. Konrad, and M. Betke, “Block-based MAP disparity estimation under alpha-channel constraints,” IEEE Trans. Circuits Syst. Video Technol., vol. 17, pp. 785-789, June 2007.

J. Konrad, “Videopsy: Dissecting visual data in space-time,” IEEE Comm. Mag., vol. 45, pp. 34-42, Jan. 2007.

M. Ristivojević and J. Konrad, “Space-time image sequence analysis: object tunnels and occlusion volumes,” IEEE Trans. Image Process., vol. 15, pp. 364-376, Feb. 2006.

J. Konrad and P. Agniel, “Subsampling models and anti-alias filters for 3-D automultiscopic displays,” IEEE Trans. Image Process., vol. 15, pp. 128-140, Jan. 2006.

R. Stasiński and J. Konrad, “POCS reconstruction of irregularly-sampled images based on oversampling and linear space-variant filtering,” Sampling Theory in Signal and Image Processing, vol. 5, pp. 37-58, Jan. 2006.

N. Božinović and J. Konrad, “Motion analysis in 3D DCT domain and its application to video coding,” Signal Process., Image Commun., vol. 20, pp. 510-528, July 2005, 2004-2005 EURASIP Image Communication Best Paper Award.

C. Vázquez, E. Dubois, and J. Konrad, “Reconstruction of irregularly-sampled images in spline spaces,” IEEE Trans. Image Process., vol. 14, pp. 713-725, June 2005.

A.-R. Mansouri and J. Konrad, “Multiple motion segmentation with level sets,” IEEE Trans. Image Process., vol. 12, pp. 201-220, Feb. 2003.

R. Stasiński and J. Konrad, “Improved POCS reconstruction of stereoscopic views,” Signal Process., Image Commun., vol. 17, pp. 689-704, Oct. 2002.

K. Belloulata and J. Konrad, “Fractal image compression with region-based functionality,” IEEE Trans. Image Process., vol. 11, pp. 351-362, Apr. 2002.

J. Konrad, “Visual communications of tomorrow: natural, efficient and flexible,” IEEE Comm. Mag., vol. 39, pp. 126-133, Jan. 2001.

A.-R. Mansouri and J. Konrad, “Bayesian winner-take-all reconstruction of intermediate views from stereoscopic images,” IEEE Trans. Image Process., vol. 9, pp. 1710-1722, Oct. 2000.

J. Konrad, B. Lacotte, and E. Dubois, “Cancellation of image crosstalk in time-sequential displays of stereoscopic video,” IEEE Trans. Image Process., vol. 9, pp. 897-908, May 2000, [experimental results].

F. Dufaux and J. Konrad, “Robust, efficient and fast global motion estimation for video coding,” IEEE Trans. Image Process., vol. 9, pp. 497-501, Mar. 2000.

R. Stasiński and J. Konrad, “A new class of fast shape-adaptive orthogonal transforms and their application to region-based image compression,” IEEE Trans. Circuits Syst. Video Technol., vol. 9, pp. 16-34, Feb. 1999.

C. Stiller and J. Konrad, “Estimating motion in image sequences: A tutorial on modeling and computation of 2D motion,” IEEE Signal Process. Mag., vol. 16, pp. 70-91, July 1999, 2001 IEEE Signal Processing Magazine Award.

M. Ben Slima, J. Konrad, and A. Barwicz, “Improvement of stereo disparity estimation through balanced filtering: the sliding-block approach,” IEEE Trans. Circuits Syst. Video Technol., vol. 7, no. 6, pp. 913-920, 1997.

J. Konrad, J. Radecki, and E. Dubois, “The application of two-dimensional finite-precision IIR filters to enhanced NTSC coding,” IEEE Trans. Circuits Syst. Video Technol., vol. 6, pp. 355-374, Aug. 1996.

M. Chahine and J. Konrad, “Estimation and compensation of accelerated motion for temporal sequence interpolation,” Signal Process., Image Commun., vol. 7, pp. 503-527, Nov. 1995.

J. Radecki, J. Konrad, and E. Dubois, “Design of multidimensional finite-wordlength FIR and IIR filters by simulated annealing,” IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 42, pp. 424-431, June 1995.

J. Konrad and E. Dubois, “Bayesian estimation of motion vector fields,” IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 910-927, Sept. 1992.

J. Konrad and E. Dubois, “Comparison of stochastic and deterministic solution methods in Bayesian estimation of 2D motion,” Image Vis. Comput., vol. 9, pp. 215-228, Aug. 1991.

J. Konrad, “Comparative analysis of digital recursive filters synthesis methods with respect to their application to surface deformations Fourier analysers,” Rozprawy Elektrotechniczne, Polish Academy of Science, vol. XXIX, pp. 173-182, Feb. 1984 (in Polish).

J. Radecki and J. Konrad, “Filtering problems of surface deformations Fourier analyser,” ZEIT Zeitschrift Elektr. Inform. – u. Energietechnik (Germany), vol. 11, no. 3, pp. 209-216, 1981.

Book Chapters

J. Wu, J. Chen, P. Ishwar, and J. Konrad, “Two-stream CNNs for gesture-based verification and identification: Learning user style,” in Deep Learning for Biometrics (B. Bhanu and A. Kumar, eds.), ch. 7, pp. 159-182, Springer, 2017.

J. Konrad, “Signal processing for 3D displays,” in Emerging Technologies for 3D Video: Creation, Coding, Transmission and Rendering (F. Dufaux, B. Pesquet-Popescu, and M. Cagnazzo, eds.), ch. 14, John Wiley Sons, 2013.

J. Konrad, “3D Displays,” in Optical and Digital Image Processing (G. Cristobal, P. Schelkens, and H. Thienpont, eds.), ch. 17, John Wiley Sons, 2011.

J. Konrad, “Motion detection and estimation,” in The Essential Guide to Video Processing (A. Bovik, ed.), ch. 3, Academic Press, 2009.

J. Konrad, “Motion detection and estimation,” in Handbook of Image and Video Processing, 2nd Edition (A. Bovik, ed.), ch. 3.10, pp. 253-274, Academic Press, 2005.

J. Konrad, “Motion detection and estimation,” in Handbook of Image and Video Processing (A. Bovik, ed.), ch. 3.10, pp. 207-225, Academic Press, 2000.

J. Konrad and C. Stiller, “On Gibbs-Markov models for motion computation,” in Video Compression for Multimedia Computing – Statistically Based and Biologically Inspired Techniques (H. Li, S. Sun, and H. Derin, eds.), ch. 4, pp. 121-154, Kluwer Academic Publishers, 1997.

E. Dubois and J. Konrad, “Estimation of 2-D motion fields from image sequences with application to motion-compensated processing,” in Motion Analysis and Image Sequence Processing (I. Sezan and R. Lagendijk, eds.), ch. 3, pp. 53-87, Kluwer Academic Publishers, 1993.

J. Konrad, “Use of colour in gradient-based estimation of dense two-dimensional motion,” in Computer Vision: Systems, Theory and Applications (A. Basu and X. Li, eds.), pp. 116-132, World Scientific, 1993.

Conference Papers

Z. Chen, M. Varkanitsa, P. Ishwar, J. Konrad, M. Betke, S. Kiran, and A. Venkataraman, “A lesion-aware edge-based graph neural network for predicting language ability in patients with post-stroke aphasia,” in Int. Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), Workshop on Machine learning in Clinical Neuroimaging (MLCN), 2024.

S. Chennuri, S. Lai, A. Billot, M. Varkanitsa, E. J. Braun, S. Kiran, A. Venkataraman, J. Konrad, P. Ishwar, and M. Betke, “Fusion approaches to predict post-stroke aphasia severity from multimodal neuroimaging data,” in Int. Conf. on Computer Vision (ICCV), Computer Vision for Automated Medical Diagnosis Workshop, Oct. 2023.

Z. Lu, M. Cokbas, P. Ishwar, and J. Konrad, “Estimating distances between people using a single overhead fisheye camera with application to social distancing oversight,” in Int. Conf. on Computer Vision Theory and Applications (VISAPP), Feb. 2023.

M. Cokbas, J. Bolognino, J. Konrad, and P. Ishwar, “FRIDA: fisheye re-identification dataset with annotations,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), Nov. 2022.

M. Tezcan, Z. Duan, M. Cokbas, P. Ishwar, and J. Konrad, “WEPDTOF: A dataset and benchmark algorithms for in-the-wild people detection and tracking from overhead fisheye cameras,” in IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 503-512, Jan. 2022.

L. Patino, J. Boyle, J. Ferryman, J. Auer, J. Pegoraro, R. Pflugfelder, M. Cokbas, J. Konrad, P. Ishwar, G. Slavic, L. Marcenaro, Y. Jiang, Y. Jin, H. Ko, G. Zhao, G. Ben-Yosef, and J. Qiu, “PETS-2021: Through-foliage detection and tracking challenge and evaluation,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), Nov. 2021 (Challenge Winner).

J. Bone, M. Cokbas, O. Tezcan, J. Konrad, and P. Ishwar, “Geometry-based person re-identification in fisheye stereo,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), Nov. 2021.

M. Peng, M. Cokbas, U. Gallastegi, P. Ishwar, J. Konrad, B. Kulis, and V. Goyal, “Convolutional neural network denoising of focused ion beam micrographs,” in IEEE Int. Workshop on Machine Learning for Signal Processing, Nov. 2021.

M. Tezcan, P. Ishwar, and J. Konrad, “BSUV-Net 2.0: Spatio-temporal data augmentations for video-agnostic supervised background subtraction,” in arXiv 2101.09585, 2021.

Z. Duan, M. Tezcan, H. Nakamura, P. Ishwar, and J. Konrad, “RAPiD: Rotation-aware people detection in overhead fisheye images,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Omnidirectional Computer Vision in Research and Industry (OmniCV) Workshop, June 2020.

M. Cokbas, P. Ishwar, and J. Konrad, “Low-resolution overhead thermal tripwire for occupancy estimation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Perception Beyond Visible Spectrum (PBVS) Workshop, June 2020.

J. Chen, P. Ishwar, and J. Konrad, “A cyclically-trained adversarial network for invariant representation learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Adverserial Machine Learning in Computer Vision (AMLCV) Workshop, June 2020.

J. Chen, J. Konrad, and P. Ishwar, “A cyclically-trained adversarial network for invariant representation learning,” in arXiv 1906.09313, 2019.

M. Tezcan, P. Ishwar, and J. Konrad, “BSUV-Net: A fully-convolutional neural network for background subtraction of unseen videos,” in IEEE/CVF Winter Conference on Applications of Computer Vision, Mar. 2020.

H. Kawai, J. Chen, P. Ishwar, and J. Konrad, “VAE/WGAN-based image representation learning for pose-preserving seamless identity replacement in facial images,” in IEEE Int. Workshop on Machine Learning for Signal Processing, Oct. 2019.

S. Li, M. Tezcan, P. Ishwar, and J. Konrad, “Supervised people counting using an overhead fisheye camera,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), Sept. 2019.

J. Zhao, N. Frumkin, P. Ishwar, and J. Konrad, “CNN-based indoor occupant localization via active scene illumination,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Sept. 2019.

J. Chen, J. Konrad, and P. Ishwar, “VGAN-based image representation learning for privacy-preserving facial expression recognition,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Challenges and Opportunities for Privacy and Security (COPS), June 2018.

J. Zhao, N. Frumkin, J. Konrad, and P. Ishwar, “Privacy-preserving indoor localization via active scene illumination,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Challenges and Opportunities for Privacy and Security (COPS), June 2018.

M. Tezcan, J. Konrad, and J. Muroff, “Automatic assessment of hoarding clutter from images using convolutional neural networks,” in Proc. IEEE Southwest Symposium on Image Analysis and Interpretation, Apr. 2018.

J. Zhao, P. Ishwar, and J. Konrad, “Privacy-preserving indoor localization via light transport analysis,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), Mar. 2017.

J. Chen, J. Wu, P. Ishwar, and J. Konrad, “Semi-coupled two-stream fusion ConvNets for action recognition at extremely low resolutions,” in Winter Conference on Applications of Computer Vision, Mar. 2017.

A. Tooke, J. Konrad, and J. Muroff, “Towards automatic assessment of compulsive hoarding from images,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Sept. 2016.

D. Roeper, J. Chen, J. Konrad, and P. Ishwar, “Privacy-preserving, indoor occupant localization using a network of single-pixel sensors,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), Aug. 2016.

J. Wu, P. Ishwar, and J. Konrad, “Two-stream CNNs for gesture-based verification and identification: Learning user style,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Biometrics, June 2016.

J. Chen, J. Wu, K. Richter, J. Konrad, and P. Ishwar, “Estimating head pose orientation using extremely low resolution images,” in Proc. IEEE Southwest Symposium on Image Analysis and Interpretation, Mar. 2016.

J. Herrera, J. Konrad, C. del Blanco, and N. Garcia, “Learning-based depth estimation from 2D images using GIST and saliency,” in Proc. IEEE Int. Conf. Image Processing (ICIP), pp. 4753-4757, Sept. 2015.

J. Wu, J. Christianson, J. Konrad, and P. Ishwar, “Leveraging shape and depth in user authentication from in-air hand gestures,” in Proc. IEEE Int. Conf. Image Processing (ICIP), pp. 3195-3199, Sept. 2015.

J. Dai, B. Saghafi, J. Wu, J. Konrad, and P. Ishwar, “Towards privacy-preserving recognition of human activities,” in Proc. IEEE Int. Conf. Image Processing (ICIP), pp. 4238-4242, Sept. 2015.

J. Dai, J. Wu, B. Saghafi, J. Konrad, and P. Ishwar, “Towards privacy-preserving activity recognition using extremely low resolution temporal and spatial cameras,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Analysis and Modeling of Faces and Gestures (AMFG), pp. 68-76, June 2015.

T. Cilingiroglu, M. Zangeneh, A. Uyar, W. Karl, J. Konrad, A. Joshi, B. Goldberg, and M. Ünlü, “Dictionary-based sparse representation for resolution improvement in laser voltage imaging of CMOS integrated circuits,” in Design Automation and Test in Europe (DATE), pp. 597-600, Mar. 2015.

T. Cilingiroglu, W.C.Karl, J. Konrad, M. Grogan, A. Yurt, A. Tuysuzoglu, B. Goldberg, and M. Ünlü, “Resolution improvement through sparse image reconstruction techniques for dark field subsurface microscopy of integrated circuits,” in Int. Symposium for Testing and Failure Analysis (ISTFA), pp. 28-32, Nov. 2014.

J. Wu, P. Ishwar, and J. Konrad, “The value of posture, build and dynamics in gesture based user authentication,” in Int. Joint Conf. on Biometrics, pp. 1-8, Oct. 2014.

J. Wu, P. Ishwar, and J. Konrad, “Silhouettes versus skeletons in gesture-based authentication with Kinect,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), pp. 99-106, Aug. 2014.

J. Wu, J. Konrad, and P. Ishwar, “The value of multiple viewpoints in gesture-based user authentication,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Biometrics, pp. 90-97, June 2014.

Y. Wang, P.-M. Jodoin, F. Porikli, J. Konrad, Y. Benezeth, and P. Ishwar, “CDnet 2014: An expanded change detection benchmark dataset,” in IEEE Conference on Computer Vision and Pattern Recognition, Change Detection Workshop (CVPRW), June 2014.

J. Wu, J. Konrad, and P. Ishwar, “Dynamic time warping for gesture-based user identificaiton and authentication using Kinect,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), pp. 2371-2375, May 2013.

T. B. Cilingiroglu, A. Tuysuzoglu, W. C. Karl, J. Konrad, M. Ünlü, and B. Goldberg, “Dictionary based image enhancement for integrated circuit imaging,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), pp. 1869-1873, May 2013.

M. Wang, P. Ishwar, J. Konrad, C. Gazen, and R. Saboo, “Coherent image selection using a fast approximation to the generalized traveling salesman problem,” in Proc. ACM Int. Conf. on Multimedia, pp. 981-984, Oct. 2012.

T. Cilingiroglu, F. H. Köklü, E. Ramsay, Y. Lu, A. Yurt, W. Karl, J. Konrad, B. Goldberg, and M. Ünlü, “Image reconstruction techniques for high numerical aperture integrated circuit imaging,” in Int. Symposium for Testing and Failure Analysis (ISTFA), pp. 551-556, Nov. 2012.

D. Cullen, J. Konrad, and T. Little, “Detection and summarization of salient events in coastal environments,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), pp. 7-12, Sept. 2012.

K. Lai, J. Konrad, and P. Ishwar, “Towards gesture-based user authentication,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), pp. 282-287, Sept. 2012.

J. Konrad, M. Wang, and P. Ishwar, “2D-to-3D image conversion by learning depth from examples,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3D Cinematography Workshop (3DCINE), pp. 16-22, June 2012.

N. Goyette, P.-M. Jodoin, F. Porikli, J. Konrad, and P. Ishwar, “changedetection.net: A new change detection benchmark dataset,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Change Detection (CDW’12), June 2012.

K. Lai, J. Konrad, and P. Ishwar, “A gesture-driven computer interface using Kinect camera,” in Proc. IEEE Southwest Symposium on Image Analysis and Interpretation, Apr. 2012.

J. Konrad, G. Brown, M. Wang, P. Ishwar, C. Wu, and D. Mukherjee, “Automatic 2D-to-3D image conversion using 3D examples from the Internet,” in Proc. SPIE Stereoscopic Displays and Applications, vol. 8288, Jan. 2012.

M. Wang, J. Konrad, P. Ishwar, K. Jing, and H. Rowley, “Image saliency: From intrinsic to extrinsic context,” in Proc. IEEE Conf. Computer Vision Pattern Recognition (CVPR), pp. 417-424, June 2011.

K. Guo, P. Ishwar, and J. Konrad, “Action recognition using sparse representation on covariance manifolds of optical flow,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance, pp. 188-195, Aug. 2010, AVSS 2010 Best Paper Award.

K. Guo, P. Ishwar, and J. Konrad, “Action recognition in video by sparse representation on covariance manifolds of silhouette tunnels,” in Proc. Int. Conf. Pattern Recognition (Semantic Description of Human Activities Contest), Aug. 2010, [SDHA contest web site], Winner of Aerial View Activity Classification Challenge.

K. Guo, P. Ishwar, and J. Konrad, “Action change detection in video by covariance matching of silhouette tunnels,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), pp. 1110-1113, Mar. 2010.

K. Guo, P. Ishwar, and J. Konrad, “Action recognition from video by covariance matching of silhouette tunnels,” in Proc. Brazilian Symp. on Computer Graphics and Image Proc., pp. 299-306, Oct. 2009.

M. Ristivojević and J. Konrad, “Multi-frame motion detection for active/unstable cameras,” in Proc. Brazilian Symp. on Computer Graphics and Image Proc., Oct. 2009.

P.-M. Jodoin, V. Saligrama, and J. Konrad, “Implicit active-contouring with MRF,” in Proc. Int. Conf. on Image Analysis and Recognition, July 2009.

P.-M. Jodoin, J. Konrad, and V. Saligrama, “Modeling background activity for behavior subtraction,” in ACM/IEEE Int. Conf. Distributed Smart Cameras, Sept. 2008.

E. Ermis, V. Saligrama, P.-M. Jodoin, and J.Konrad, “Abnormal behavior detection and behavior matching for networked cameras,” in ACM/IEEE Int. Conf. Distributed Smart Cameras, pp. 1-10, Sept. 2008.

J. McHugh, J. Konrad, V. Saligrama, P.-M. Jodoin, and D. Castanon, “Motion detection with false discovery rate control,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Oct. 2008.

P.-M. Jodoin, J. Konrad, V. Saligrama, and V. Veilleux-Gaboury, “Motion detection with an unstable camera,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Oct. 2008.

E. Ermis, V. Saligrama, P.-M. Jodoin, and J.Konrad, “Motion segmentation and abnormal behavior detection via behavior clustering,” in Proc. IEEE Int. Conf. Image Processing (ICIP), pp. 769-772, Oct. 2008.

P.-M. Jodoin, V. Saligrama, and J. Konrad, “Behavior subtraction,” in Proc. SPIE Visual Communications and Image Process., vol. 6822, pp. 10.1-10.12, Jan. 2008.

T. Little, P. Ishwar, and J. Konrad, “A wireless video sensor network for autonomous coastal sensing,” in Proc. Conf. on Coastal Environmental Sensing Networks (CESN), Apr. 2007.

A. Jain and J. Konrad, “Crosstalk in automultiscopic 3-D displays: Blessing in disguise?,” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 6490, pp. 12.1-12.12, Jan. 2007.

S. Ince, J. Konrad, and C. Vázquez, “Spline-based intermediate view reconstruction,” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 6490, pp. 0F.1-0F.12, Jan. 2007.

R. Lau, S. Ince, and J. Konrad, “Compression of still multi-view images for 3-D automultiscopic spatially-multiplexed displays,” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 6490, pp. 0O.1-0O.9, Jan. 2007.

P.-M. Jodoin, M. Mignotte, and J. Konrad, “Background subtraction framework based on local spatial distributions,” in Proc. Int. Conf. on Image Analysis and Recognition, pp. 370-380, Sept. 2006.

P.-M. Jodoin, M. Mignotte, and J. Konrad, “Light and fast statistical motion detection method based on ergodic model,” in Proc. IEEE Int. Conf. Image Processing (ICIP), pp. 1053-1056, Oct. 2006.

L. Oddsson, J. Konrad, S. Williams, R. Karlsson, and S. Ince, “A rehabilitation tool for functional balance using altered gravity and virtual reality,” in 5-th Int. Workshop on Virtual Rehabilitation, Aug. 2006.

N. Božinović and J. Konrad, “Modeling motion for spatial scalability,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), vol. II, pp. 29-32, May 2006.

N. Božinović, J. Konrad, W. Zhao, and C. Vázquez, “On the importance of motion invertibility in MCTF/DWT video coding,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), vol. II, pp. 49-52, Mar. 2005.

S. Ince and J. Konrad, “Geometry-based estimation of occlusions from video frame pairs,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), vol. II, pp. 933-936, Mar. 2005.

J. Konrad and N. Božinović, “Importance of motion in motion-compensated temporal discrete wavelet transforms,” in Proc. SPIE Image and Video Communications and Process., vol. 5685, pp. 354-365, Jan. 2005.

S. Ince and J. Konrad, “Recovery of a missing color component in stereo images (or helping NASA find little green martians),” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 5664, pp. 127-138, Jan. 2005.

S. Laurent, W. Karl, J. Konrad, J. Wilson, J. Baumgardner, and M. Mendillo, “Design of a high-definition imaging (HDI) analysis technique adapted to challenging environments,” in Proc. SPIE Applications of Digital Image Process., vol. 5558, pp. 676-687, Nov. 2004.

N. Božinović, J. Konrad, T. André, M. Antonini, and M. Barlaud, “Motion-compensated lifted wavelet video coding: toward optimal motion/transform configuration,” in Signal Process. XII: Theories and Applications (Proc. Twelfth European Signal Process. Conf.), pp. 1975-1978, Sept. 2004.

L. Oddsson, C. Wall III, P. Meyer, and J. Konrad, “A virtual environment with simulated gravity for balance rehabilitation of bedridden patients and frail individuals,” in XV-th Congress of the International Society of Electrophysiology and Kinesiology, p. 55, June 2004.

M. Ristivojević and J. Konrad, “Joint space-time image sequence segmentation: object tunnels and occlusion volumes,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), vol. III, pp. 9-12, May 2004.

N. Božinović and J. Konrad, “Mesh-based motion models for wavelet video coding,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), vol. III, pp. 141-144, May 2004.

T. André, M. Cagnazzo, M. Antonini, M. Barlaud, N. Božinović, and J. Konrad, “(N,0) motion-compensated lifting-based wavelet transform,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), vol. III, pp. 121-124, May 2004.

J. Konrad and P. Agniel, “Non-orthogonal sub-sampling and anti-alias filtering for multiscopic 3-D displays,” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 5291, pp. 105-116, Jan. 2004.

Y. Shi, J. Konrad, and W. Karl, “Multiple motion and occlusion segmentation with a multiphase level set method,” in Proc. SPIE Visual Communications and Image Process., vol. 5308, pp. 189-198, Jan. 2004.

M. Ristivojević and J. Konrad, “Joint space-time motion-based video segmentation and occlusion detection using multi-phase level sets,” in Proc. SPIE Visual Communications and Image Process., vol. 5308, pp. 156-167, Jan. 2004.

J. Konrad, “Transversal versus lifting approach to motion-compensated temporal discrete wavelet transform of image sequences: equivalence and tradeoffs,” in Proc. SPIE Visual Communications and Image Process., vol. 5308, pp. 452-463, Jan. 2004.

R. Stasiński and J. Konrad, “Linear shift-variant filtering for POCS reconstruction of irregularly sampled images,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. III, pp. 689-692, Sept. 2003.

N. Božinović and J. Konrad, “Scan order and quantization for 3D-DCT coding,” in Proc. SPIE Visual Communications and Image Process., vol. 5150, pp. 1204-1215, July 2003.

J. Konrad and M. Ristivojević, “Video segmentation and occlusion detection over multiple frames,” in Proc. SPIE Image and Video Communications and Process., vol. 5022, pp. 377-388, Jan. 2003.

A. Litvin, J. Konrad, and W. Karl, “Probabilistic video stabilization using Kalman filtering and mosaicking,” in Proc. SPIE Image and Video Communications and Process., vol. 5022, pp. 663-674, Jan. 2003.

M. Kardouchi and J. Konrad, “Recovering large-amplitude disparity fields using adaptive interpolation,” in Proc. SPIE Image and Video Communications and Process., vol. 5022, pp. 761-771, Jan. 2003.

J. Konrad and P. Agniel, “Artifact reduction in lenticular multiscopic 3-D displays by means of anti-alias filtering,” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 5006, pp. 336-347, Jan. 2003.

J. Konrad and M. Ristivojević, “Joint space-time image sequence segmentation based on volume competition and level sets,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 1, pp. 573-576, Sept. 2002.

J. Konrad and N. Božinović, “Interpretation of uniform translational image motion: DCT versus FT,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 2, pp. 281-284, Sept. 2002.

C. Vázquez, E. Dubois, and J. Konrad, “Reconstruction of irregularly-sampled images by regularization in spline spaces,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 3, pp. 405-408, Sept. 2002.

R. Stasiński and J. Konrad, “Space-variable filtering for approximation of uniformly sampled image from samples on irregular grids,” in 5-th Nordic Signal Proc. Symp., Oct. 2002.

R. Stasiński and J. Konrad, “Improved POCS-based image reconstruction from irregularly-spaced samples,” in Signal Process. XI: Theories and Applications (Proc. Eleventh European Signal Process. Conf.), vol. 2, pp. 461-464, Sept. 2002.

A.-R. Mansouri, T. Chomaud, and J. Konrad, “A comparative evaluation of algorithms for fast computation of level set PDEs with applications to motion segmentation,” in Proc. IEEE Int. Conf. Image Processing (ICIP), pp. 636-639, Oct. 2001.

R. Stasiński and J. Konrad, “POCS reconstruction of stereoscopic views,” in Proc. Int. Conf. on Augmented, Virtual Environments and Three-Dimensional Imaging, pp. 41-44, May 2001.

M. Kardouchi, J. Konrad, and C. Vázquez, “Estimation of large-amplitude motion and disparity fields: Application to intermediate view reconstruction,” in Proc. SPIE Visual Communications and Image Process., vol. 4310, pp. 340-351, Jan. 2001.

A.-R. Mansouri, A. Olivier, and J. Konrad, “Topology-independent region tracking with level sets,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 3, pp. 66-69, Sept. 2000.

C. Vázquez, J. Konrad, and E. Dubois, “Wavelet-based reconstruction of irregularly sampled images: Application to stereo imaging,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 2, pp. 319-322, Sept. 2000.

R. Stasiński and J. Konrad, “POCS-based image reconstruction from irregularly-spaced samples,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 2, pp. 315-318, Sept. 2000.

A.-R. Mansouri and J. Konrad, “Minimum description length region tracking with level sets,” in Proc. SPIE Image and Video Communications and Process., vol. 3974, pp. 515-525, Jan. 2000.

A.-R. Mansouri, B. Sirivong, and J. Konrad, “Multiple motion segmentation with level sets,” in Proc. SPIE Image and Video Communications and Process., vol. 3974, pp. 584-595, Jan. 2000.

J. Konrad and Z.-D. Lan, “Dense disparity estimation from feature correspondences,” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 3957, pp. 90-101, Jan. 2000.

K. Belloulata, R. Stasiński, and J. Konrad, “Region-based image compression using fractals and shape-adaptive DCT,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 2, pp. 815-819, Oct. 1999.

A.-R. Mansouri and J. Konrad, “Motion segmentation with level sets,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 2, pp. 126-130, Oct. 1999.

J. Konrad, “View reconstruction for 3-D video entertainment: issues, algorithms and applications,” in Proc. Int. Conf. on Image Process. and its Applications, pp. 8-12, July 1999.

J. Konrad, “Enhancement of viewer comfort in stereoscopic viewing: parallax adjustment,” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 3639, pp. 179-190, Jan. 1999.

A.-R. Mansouri, A. Mitiche, and J. Konrad, “Selective image diffusion: application to disparity estimation,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 3, pp. 284-288, Oct. 1998.

R. Stasiński and J. Konrad, “Reduced-complexity shape-adaptive DCT for region-based image coding,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 3, pp. 114-118, Oct. 1998.

L. Labelle, D. Lauzon, J. Konrad, and E. Dubois, “Arithmetic coding of a lossless contour-based representation of label images,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 1, pp. 261-265, Oct. 1998.

R. Stasiński and J. Konrad, “Fast quasi-DCT algorithm for shape-adaptive DCT image coding,” in Signal Process. IX: Theories and Applications (Proc. Ninth European Signal Process. Conf.), pp. 1505-1508, Sept. 1998.

A. Mancini and J. Konrad, “Robust quadtree-based disparity estimation for the reconstruction of intermediate stereoscopic images,” in Proc. SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 3295, pp. 53-64, Jan. 1998.

A.-R. Mansouri and J. Konrad, “Block-based winner-takes-all reconstruction of intermediate stereoscopic images,” in Proc. SPIE Visual Communications and Image Process., vol. 3309, pp. 922-933, Jan. 1998.

C.-H. Yang and J. Konrad, “Motion-based video segmentation using continuation method and robust cost functions,” in Proc. SPIE Visual Communications and Image Process., vol. 3309, pp. 774-785, Jan. 1998.

E. Dubois, J. Konrad, and S. Cantet, “Estimation of nonlinear transfer curves for conversion of color images to a known color space,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 3, pp. 26-29, Oct. 1997.

R. Stasiński and J. Konrad, “DCT-based shape-adaptive transform for region-oriented image compression and manipulation,” in Workshop on Image Analysis for Multimedia Interactive Services, (Louvain, Belgium), June 1997.

R. Stasiński and J. Konrad, “A new approach to generation of shape-adaptive transforms,” in Int. Workshop on Systems, Signals and Image Process., (Poznań, Poland), pp. 13-16, May 1997.

J. Konrad and V.-N. Dang, “Coding-oriented video segmentation inspired by MRF models,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 1, pp. 909-912, Sept. 1996.

C. Stiller and J. Konrad, “A region-adaptive transform based on a stochastic model,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 2, pp. 264-267, Oct. 1995.

V.-N. Dang, A.-R. Mansouri, and J. Konrad, “Motion estimation for region-based video coding,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 2, pp. 189-192, Oct. 1995.

J. Konrad, M. Zaremba, G. Chan, and M. Gaudreau, “Parallel computation of dense motion fields using a Hopfield network,” in Proc. Scand. Conf. Image Analysis, SCIA’95, pp. 609-616, June 1995.

C. Stiller and J. Konrad, “Eigentransforms for region-based image processing,” in Proc. Int. Conf. on Consumer Electronics, pp. 286-287, June 1995.

J. Konrad, A.-R. Mansouri, E. Dubois, V.-N. Dang, and J.-B. Chartier, “On motion modeling and estimation for very low bit rate video coding,” in Proc. SPIE Visual Communications and Image Process., vol. 2501, pp. 262-273, May 1995.

L. Bonnaud, C. Labit, and J. Konrad, “Interpolative coding of image sequences using temporal linking of motion-based segmentation,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), pp. 2265-2268, May 1995.

M. Chahine and J. Konrad, “Motion-compensated interpolation using trajectories with acceleration,” in Proc. SPIE Digital Video Compression: Algorithms and Technology, vol. 2419, pp. 152-163, Feb. 1995.

P. Treves and J. Konrad, “Motion estimation and compensation under varying illumination,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 1, pp. 373-377, Nov. 1994.

M. Chahine and J. Konrad, “Estimation of trajectories for accelerated motion from time-varying imagery,” in Proc. IEEE Int. Conf. Image Processing (ICIP), vol. 2, pp. 800-804, Nov. 1994.

J. Konrad and P. Treves, “Estimation of dense 2-D motion based on the constancy of intensity gradient,” in Signal Process. VII: Theories and Applications (Proc. Seventh European Signal Process. Conf.), pp. 684-687, Sept. 1994.

H. Nicolas, J. Konrad, and C. Labit, “Joint estimation of motion and illumination variations for coding of image sequences,” in Proc. Scandinavian Conf. Image Analysis, pp. 507-514, May 1993.

E. Dubois and J. Konrad, “Motion estimation and motion-compensated filtering of video signals,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), pp. 95-98, Apr. 1993.

J. Radecki, J. Konrad, and E. Dubois, “Design of finite wordlength 2-D IIR filters using simulated annealing,” in Signal Process. VI: Theories and Applications (Proc. Sixth European Signal Process. Conf.), pp. 953-956, Aug. 1992.

J. Konrad, “Use of colour in gradient-based estimation of dense two-dimensional motion,” in Proc. Conf. Vision Interface VI’92, pp. 103-109, May 1992.

J. Konrad, J. Radecki, and E. Dubois, “On the design of finite wordlength IIR filters for video applications,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), vol. 4, pp. 341-344, Mar. 1992.

J. Radecki, J. Konrad, and E. Dubois, “Design of finite wordlength IIR filters with prescribed magnitude, group delay and stability properties using simulated annealing,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), pp. 1637-1640, May 1991.

E. Dubois and J. Konrad, “Review of techniques for motion estimation and motion compensation,” in Proc. Int. Coll. Advanced Television Syst., pp. 3B.3.1-3B.3.19, June 1990.

J. Radecki, J. Konrad, and E. Dubois, “A comparison of simulated annealing and N-step newton methods for designing 1-D and 2-D finite wordlength FIR filters,” in Proc. Canadian Conf. Electr. Comp. Eng., pp. 53.3.1-53.3.4, Sept. 1990.

J. Konrad and E. Dubois, “A comparison of stochastic and deterministic solution methods in Bayesian estimation of 2-D motion,” in Proc. European Conf. Computer Vision, pp. 149-160, Apr. 1990.

J. Konrad and E. Dubois, “Use of colour information in Bayesian estimation of 2-D motion,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), pp. 2205-2208, Apr. 1990.

J. Konrad and E. Dubois, “Bayesian estimation of discontinuous motion in images using simulated annealing,” in Proc. Conf. Vision Interface VI’89, pp. 51-60, June 1989.

J. Konrad and E. Dubois, “Multigrid Bayesian estimation of image motion fields using stochastic relaxation,” in Proc. IEEE Int. Conf. Computer Vision, pp. 354-362, Dec. 1988.

J. Konrad, “Stochastic estimation of motion in television images,” in Proc. 3-rd Conf. on Science and Technology “Signal Processing in Telecommunications, Control and Inspection”, Poland, Sept. 1988 (in Polish).

J. Konrad and E. Dubois, “Estimation of image motion fields: Bayesian formulation and stochastic solution,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing (ICASSP), pp. 1072-1075, Apr. 1988.

J. Konrad, “Design of 2-D bandpass linear-phase FIR digital filters,” in Proc. 6-th Polish Conference on Circuit Theory and Electronic Systems, Oct. 1983 (in Polish).

J. Konrad and R. Sikora, “On 2-D band-pass linear-phase FIR digital filters design,” in Proc. IASTED Symposia MECO’83, Aug. 1983.

J. Konrad, “On two-dimensional linear-phase band-pass FIR digital filters design,” in Proc. 4-th Polish-English Seminar on Real-Time Process Control, pp. 88-97, May 1983.

J. Konrad, “Digital filtering application to Fourier spectral analysers,” in All-Polish Symposium on Electrical Measurements METROLOGIA’81, Sept. 1981 (in Polish).

J. Radecki and J. Konrad, “Digital filters application to surface deformations Fourier analyser,” in All-Polish Symposium on Electrical Measurements METROLOGIA’80, Nov. 1980 (in Polish).

Conference Abstracts and Posters

M. Cokbas, P. Ishwar, and J. Konrad, Spatio-visual fusion-based person re-identification for overhead fisheye images. New England Computer Vision Workshop, Boston, MA, Dec. 2022.

M. Tezcan, A. Tooke, J. Konrad, and J. Muroff, Automatic rating of room clutter from images for improved hoarding disorder assessment. Boston University Data Science Day (BUDS), Boston, MA, Jan. 2017.

J. Chen, P. Ishwar, and J. Konrad, Semi-coupled two-stream fusion ConvNets for action recognition at extremely low resolutions. Boston University Data Science Day (BUDS), Boston, MA, Jan. 2017.

J. Muroff, J. Konrad, M. Tezcan, and L. Heller, Enhancing hoarding disorder assessment through automated rating of room clutter. 51st Annual Convention of the Association for Behavioral and Cognitive Therapies, San Diego, CA, Nov. 2017.

J. Zhao, P. Ishwar, and J. Konrad, Privacy-preserving indoor localization via light transport analysis. Department of Energy Solid State Lighting Workshop, Long Beach, CA, Feb. 2017.

J. Zhao, P. Ishwar, and J. Konrad, Privacy-preserving indoor localization via light transport analysis. New England Computer Vision Workshop, Boston, MA, Nov. 2016.

J. Chen, J. Wu, P. Ishwar, and J. Konrad, Semi-coupled two-stream fusion ConvNets for action recognition at extremely low resolutions. New England Computer Vision Workshop, Boston, MA, Nov. 2016.

K. Lai, J. Konrad, and P. Ishwar, GestureMouse: A flexible gesture-based user interface. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ChaLearn Gesture Challenge Demonstration Competition, Providence, RI, June 2012.

E. Dubois, J. Konrad, and S. Panchanathan, Scalable video encoding for database storage. Annual Meeting of the Canadian Institute for Telecommunications Research, Ottawa, Canada, Aug. 1994.

E. Dubois, J. Konrad, N. Baaziz, M. Matta, M. Chahine, and C. Lagarde, Scan conversion and motion estimation for scalable video. Annual Meeting of the Canadian Institute for Telecommunications Research, Ottawa, Canada, Aug. 1994.

E. Dubois, J. Konrad, and S. Panchanathan, Scalable video encoding for database storage. Annual Meeting of the Canadian Institute for Telecommunications Research, Montréal, Canada, Aug. 1993.

E. Dubois, J. Konrad, R. Depommier, E. Fakhouri, and M. Juillet, Motion estimation. Annual Meeting of the Canadian Institute for Telecommunications Research, Montréal, Canada, Aug. 1993.

J. Konrad, Digital bandpass filters and their application to Fourier analyser of surface deformations. Symposium for Students from Electrical Engineering Departments of Technical Universities, Warsaw, Poland, May 1980.

Patents

J. Konrad, P. Ishwar, J. Bone, M. Cokbas, M. Tezcan, T. Little, and M. Gevelber, Position-based detection system, US Provisional Patent Application No. 63/281,840, Nov. 22, 2021.

J. Konrad, P. Ishwar, T. Little, and M. Gevelber, Fusion-based occupancy sensing for building systems, US Patent No, 11,193,688, Dec. 7, 2021.

V. Saligrama, J. Konrad, and P.-M. Jodoin, Video processing system employing behavior subtraction between reference and observed video image sequences, US Provisional Patent Application No. PCT/US08/79839, 2008.

Doctoral Dissertations

M. Cokbas, Person re-identification using fisheye cameras with application to occupancy analysis. PhD thesis, Boston University, Sept. 2023.

M. O. Tezcan, Deep learning algorithms for background subtraction and people detection. PhD thesis, Boston University, July 2021.

J. Zhao, Active scene illumination methods for privacy-preserving indoor occupant localization. PhD thesis, Boston University, Aug. 2019.

J. Chen, Privacy-perserving smart-room visual analytics. PhD thesis, Boston University, July 2019.

A. Gaudreau-Balderrama, Methods and algorithms for quantitative analysis of metallomic images to assess traumatic brain injury. PhD thesis, Boston University, May 2017.

J. Wu, Gesture passwords: Concepts, methods, and challenges. PhD thesis, Boston University, May 2016.

T. B. Cilingiroglu, A sparsity-based framework for resolution enhancement in optical fault analysis of integrated circuits. PhD thesis, Boston University, Jan. 2015.

K. Guo, Action recognition using log-covariance matrices of silhouette and optical-flow features. PhD thesis, Boston University, Sept. 2011.

S. Ince, Occlusion-aware intermediate view reconstruction. PhD thesis, Boston University, Jan. 2008.

N. Božinović, Advanced motion modeling for 3D video coding. PhD thesis, Boston University, Apr. 2006.

M. Ristivojević, Space-time image sequence analysis: object tunnels and occlusion volumes. PhD thesis, Boston University, Jan. 2006.

C. A. Vàzquez, Reconstruction d’images à partir d’échantillons irrégulièrement espacés. PhD thesis, INRS-Télécommunications, Sept. 2002.

L. Szczeciński, Méthodes non linéaires de reconstitution de signaux pour des applications spectrométriques. PhD thesis, INRS-Télécommunications, Oct. 1997.

M. Ben Slima, Algorithmes de reconstitution de mesurandes dynamiques avec régularisation multiple. PhD thesis, INRS-Télécommunications, Mar. 1996.

J. Konrad, Bayesian estimation of motion fields from image sequences. PhD thesis, McGill University, Dept. Electr. Eng., June 1989.

Master’s Theses

Z. Sun, “Image-based classification of hoarding clutter using deep learning,” Master’s thesis, Boston University, May 2024.

H. Hu, “Image classification with directional image sensors,” Master’s thesis, Boston University, May 2024.

Q. Zeng, “Learning temporal variations for action recognition,” Master’s thesis, Boston University, May 2020.

S. Li, “People counting using an overhead fisheye camera,” Master’s thesis, Boston University, May 2019.

Y. Shao, “Experimental validation of surveillance camera as a vibration sensor,” Master’s thesis, Boston University, May 2011.

E. Begin, “Superresolution using splines and anisotropic diffusion,” Master’s thesis, Boston University, May 2008.

J. McHugh, “Probabilistic methods for adaptive background subtraction,” Master’s thesis, Boston University, Jan. 2008.

A. Jain, “Crosstalk-aware design of anti-alias filters for 3-D automultiscopic displays,” Master’s thesis, Boston University, Apr. 2006.

P. Agniel, “Subsampling models and anti-alias filters for 3-D automultiscopic displays,” Master’s thesis, Boston University, Feb. 2004.

V. Finnerty, “Reconstruction d’images intermédiaires à partir d’une paire d’images stéréoscopiques,” Master’s thesis, INRS-Télécommunications, June 2002.

A. Mancini, “Disparity estimation and intermediate view reconstruction for novel applications in stereoscopic video,” Master’s thesis, McGill University, Dept. Electr. Eng., Feb. 1998.

V.-N. Dang, “Estimation et segmentation du mouvement pour le codage vidéo à trés bas débit,” Master’s thesis, INRS-Télécommunications, Sept. 1995.

J.-B. Chartier, “Représentation compacte des cartes de segmentation dans les séquences d’images: étude comparative,” Master’s thesis, INRS-Télécommunications, Mar. 1995.

P. Treves, “Estimation du mouvement apparent dans les séquences d’images avec effet d’illumination,” Master’s thesis, INRS-Télécommunications, Aug. 1994.

M. Chahine, “Estimation of accelerated motion and occlusions from time-varying images,” Master’s thesis, McGill University, Dept. Electr. Eng., July 1994.

J. Konrad, “Application of band-pass digital filters to Fourier analysis of surface deformations,” Master’s thesis, Technical University of Szczecin, Dept. Electr. Eng., Mar. 1980.

Technical Reports

A. Tooke, “Automatic indoor clutter detection from images,” Tech. Rep. 2015-08, Boston University, Dept. of Electr. and Comp. Eng., Dec. 2015.

Z. Liu, “Clutter detection in indoor scenes using Structure 3-D sensor,” Tech. Rep. 2015-04, Boston University, Dept. of Electr. and Comp. Eng., May 2015.

L. Li, “Gesture-based user authentication with Kinect,” Tech. Rep. 2013-02, Boston University, Dept. of Electr. and Comp. Eng., May 2013.

D. Cullen, “Detecting and summarizing salient events in coastal videos,” Tech. Rep. 2012-06, Boston University, Dept. of Electr. and Comp. Eng., May 2012.

F. Yi, “Next-generation human-computer interfaces: data entry and authentication without keyboard and mouse,” Tech. Rep. 2012-05, Boston University, Dept. of Electr. and Comp. Eng., May 2012.

E. Choi Loya Zorn, “A study of color spaces for colonoscopy preparation assessment,” Tech. Rep. 2010-02, Boston University, Dept. of Electr. and Comp. Eng., May 2010.

H. Ozkan, “Fast support vector machines using random Fourier features,” Tech. Rep. 2009-08, Boston University, Dept. of Electr. and Comp. Eng., Dec. 2009.

H.-Y. Wu, “Sliding-window ribbon carving for video condensation,” Tech. Rep. 2009-03, Boston University, Dept. of Electr. and Comp. Eng., Dec. 2009.

C. Esteve, “Color-based scoring of colonoscopy video,” Tech. Rep. 2009-01, Boston University, Dept. of Electr. and Comp. Eng., May 2009.

W. Liu, “Streaming video condensation by ribbon carving,” Tech. Rep. 2008-07, Boston University, Dept. of Electr. and Comp. Eng., Dec. 2008.

Z. Li, P. Ishwar, and J. Konrad, “Video condensation by ribbon carving,” Tech. Rep. 2008-03, Boston University, Dept. of Electr. and Comp. Eng., Sept. 2008.

K. Guo, J. Konrad, and P. Ishwar, “Post-processing of streaming video for reliable background subtraction,” Tech. Rep. 2008-01, Boston University, Dept. of Electr. and Comp. Eng., May 2008.

L.-C. Hsieh, “Multi-camera motion detection,” Tech. Rep. 2007-03, Boston University, Dept. of Electr. and Comp. Eng., May 2007.

S. Liu, “Robust vehicle detection from parking lot images,” Tech. Rep. 2005-06, Boston University, Dept. of Electr. and Comp. Eng., Dec. 2005.

C.-W. Chan, “Real-time rendering of multiple views using standard graphics hardware,” Tech. Rep. 2005-05, Boston University, Dept. of Electr. and Comp. Eng., Dec. 2005.

W. Zhao, “Motion compensation in temporal discrete wavelet transforms,” Tech. Rep. 2004-04, Boston University, Dept. of Electr. and Comp. Eng., Aug. 2004.

S. Ince, “Recovery of a missing color component in stereo images,” Tech. Rep. 2004-02, Boston University, Dept. of Electr. and Comp. Eng., May 2004.

S. Ince, “Correspondence estimation and intermediate view reconstruction,” Tech. Rep. 2004-01, Boston University, Dept. of Electr. and Comp. Eng., Jan. 2004.

P. McNerney, “A stereo-based approach to digital image compositing,” Tech. Rep. 2003-01, Boston University, Dept. of Electr. and Comp. Eng., Sept. 2003.

P. Agniel, “Enhancement of visualization capacity of 3-D multiscopic displays by means of anti-alias filtering,” Tech. Rep. 2002-04, Boston University, Dept. of Electr. and Comp. Eng., June 2002.

N. Božinović, “Multiple description coding for video transmission over wireless channels,” Tech. Rep. 2001-01, Boston University, Dept. of Electr. and Comp. Eng., Sept. 2001.

C. Vázquez, “Reconstruction d’images irrégulièrement échantillonnées: Application à la reconstruction de vues intermédiaires et au codage vidéo,” Tech. Rep. 99-22, INRS-Télécommunications, Sept. 1999.

Z.-D. Lan and J. Konrad, “Regularized block matching using control points,” Tech. Rep. 99-13, INRS-Télécommunications, July 1999.

B. Morel, “Segmentation dynamique assistée par l’utilisateur,” Tech. Rep. 98-16, INRS-Télécommunications, Dec. 1998.

T. Gauthey, “Reconstruction de paires stéréoscopiques par champs denses de disparité,” Tech. Rep. 98-15, INRS-Télécommunications, Dec. 1998.

J. Konrad and F. Dufaux, “Improved global motion estimation for N3,” Tech. Rep. MPEG97/M3096, ISO/IEC JTC1/SC29/WG11, Feb. 1998.

C.-H. Yang, “Joint disparity/motion estimation and segmentation for object-oriented stereoscopic image coding,” Tech. Rep. 97-05, INRS-Télécommunications, Apr. 1997.

J. Konrad, B. Lacotte, and E. Dubois, “Cancellation of image crosstalk in time-sequential displays of stereoscopic video,” Tech. Rep. 97-01, INRS-Télécommunications, Feb. 1997.

B. Lacotte, “Elimination of keystone and crosstalk effects in stereoscopic video,” Tech. Rep. 95-31, INRS-Télécommunications, Dec. 1995.

N. De Snoeck, “Traitement et codage de séquences d’images stéréoscopiques,” Tech. Rep. 95-26, INRS-Télécommunications, Oct. 1995.

J. Konrad, A.-R. Mansouri, and E. Dubois, “Towards region-based coding for very low bit rate video services,” Tech. Rep. 95-13, INRS-Télécommunications, Aug. 1995.

C.-H. Yang, “Geometric models in stereoscopic video,” Tech. Rep. 95-12, INRS-Télécommunications, Aug. 1995.

L. Perrin, “Codage d’un segment d’image de forme arbitraire par transformée orthogonale adaptée,” Tech. Rep. 94-33, INRS-Télécommunications, Dec. 1994.

A.-R. Mansouri and J. Konrad, “A comparative evaluation of the H.261 and the SIM-3 video coders,” Tech. Rep. 94-30, INRS-Télécommunications, Oct. 1994.

J. Konrad, “L’estimation du mouvement 2-D par les réseaux de Hopfield,” Tech. Rep. 94-04, INRS-Télécommunications, Jan. 1994.

M. Zaremba and J. Konrad, “Méthodes et technologies neuromorphiques pour les communications: phase II,” Tech. Rep. presented to Industry Canada, Ottawa, Apr. 1994.

V. Rey Du Boissieu, “Amélioration de l’estimation du mouvement par traitement des discontinuités,” Tech. Rep. 94-01, INRS-Télécommunications, Jan. 1994.

M. Zaremba and J. Konrad, “Méthodes et technologies neuromorphiques pour les communications: phase I,” Tech. Rep. presented to Industry Canada, Ottawa, Apr. 1993.

H. Nicolas, J. Konrad, and C. Labit, “Joint estimation of motion and illumination variations for coding of image sequences,” Tech. Rep. 93-03, INRS-Télécommunications, Jan. 1993.

J.-B. Chartier, “Traitement numérique des signaux pour la transmission des séquences vidéo: impact de la phase non-linéaire,” Tech. Rep. 93-01, INRS-Télécommunications, Jan. 1993.

J. Konrad, J. Radecki, and E. Dubois, “The design of 2-D IIR finite wordlength filters for enhanced NTSC encoding and decoding,” Tech. Rep. 92-16, INRS-Télécommunications, July 1992.

J. Konrad, “Issues of accuracy and complexity in motion compensation for ATV systems,” Tech. Rep. 90-19, INRS-Télécommunications, July 1990.

J. Konrad, “Motion-compensated interpolation for TV frame-rate conversion,” Tech. Rep. 88-26, INRS-Télécommunications, Oct. 1988.

J. Konrad and E. Dubois, “Estimation of image motion fields: Bayesian formulation and stochastic solution,” Tech. Rep. 87-55, INRS-Télécommunications, Dec. 1987.

J. Konrad, “Software for design and implementation of 3D FIR digital filters,” Tech. Rep. 86-08, INRS-Télécommunications, Feb. 1986.

J. Radecki, J. Konrad, and E. Kornatowski, “2-D filtering,” Tech. Rep. 3, Polish Academy of Science, 1983.

J. Radecki and J. Konrad, “2-D filtering,” Tech. Rep. 2, Polish Academy of Science, 1982.

Presentations

J. Konrad, “Finding and counting people indoors using overhead fisheye cameras.” invited lecture at the Technical University of Munich, Germany, Nov. 2, 2022.

J. Konrad, “Finding and counting people indoors using overhead fisheye cameras.” invited lecture at the Karlsruhe Institute of Technology, Germany, Oct. 31, 2022.

J. Konrad, “Finding and counting people indoors using overhead fisheye cameras.” invited lecture at Université de Paris-Seclay, France, Oct. 26, 2022.

J. Konrad, “Indoor scene analysis from overhead fisheye cameras.” keynote at IEEE Signal Processing Symposium (SPSympo-2021), Poland (remote), Sep. 21, 2021.

J. Konrad, “User authentication for natural user interfaces.” tutorial at IEEE-EURASIP Summer School “Signal processing for human-machine communication and interaction”, Italy (remote), Sep. 7, 2021.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at 2020 Winter School on Visual Image Search and Video Analytics (VISVA-2020), Singapore, Dec. 14, 2020.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at Georgia Institute of Technology, Atlanta, Oct. 23, 2020.

J. Konrad, “VIDEOPSY: Towards autonomous video surveillance.” invited lecture at the Indian Institute of Science, Bangalore, India, Jan. 16, 2020.

J. Konrad, “VIDEOPSY: Towards autonomous video surveillance.” invited lecture at AISSMS Institute of Information Technology, Pune, India, Jan. 14, 2020.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at Tata Institute for Fundamental Research (TIFR), Mumbai, India, Jan. 13, 2020.

J. Konrad, “VIDEOPSY: Towards autonomous video surveillance.” invited lecture at C. K. Pithawala College of Engineering and Technology, Surat, India, Jan. 10, 2020.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at Indraprastha Institute of Information Technology, New Delhi, India, Jan. 8, 2020.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at University of Rzeszów, Poland, Dec. 19, 2019.

J. Konrad, “VIDEOPSY: Towards autonomous video surveillance.” invited lecture at AGH University of Science and Technology, Kraków, Poland, Dec. 17, 2019.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at Purdue Polytechnic, West Lafayette, Indiana, Nov. 8, 2019.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at the Telkom University, Bandung, Indonesia, Jun. 28, 2019.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” keynote lecture at the Tarumanagara International Conference on the Applications of Social Sciences and Humanities (TICASH) 2019, Tarumanagara University, Jakarta, Indonesia, Jun. 27, 2019.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at University of Kuala Lumpur, Malaysia, Jun. 24, 2019.

J. Konrad, “User authentication for natural user interfaces (NUIs).” keynote lecture at the 10th Symposium on Image Processing, Image Analysis and Real-Time Imaging (IPIARTI 2019), Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia, Jun. 23, 2019.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at National University of Singapore, Jun. 21, 2019.

J. Konrad, “Privacy-preserving localization and recognition of human activities.” invited lecture at AGH University of Science and Technology, Kraków, Poland, May 30, 2019.

J. Konrad, “VIDEOPSY: Towards autonomous video surveillance.” invited lecture at West Pomeranian University of Technology, Szczecin, Poland, May 28, 2019.

J. Konrad, “VIDEOPSY: Towards autonomous video surveillance.” invited lecture at Warsaw University of Technology, Warsaw, Poland, May 22, 2019.

J. Konrad, “VIDEOPSY: Towards autonomous video surveillance.” invited lecture at Wroclaw University of Science and Technology, Wroclaw, Poland, May 21, 2019.

J. Konrad, “VIDEOPSY: Towards autonomous video surveillance.” keynote lecture at GTTI-SPS Thematic Meeting on Multimedia Signal Processing, Bormio, Italy, Jan. 21, 2019.

J. Konrad, “Privacy-preserving indoor activity analysis.” Industrial Advisory Board Meeting, Lighting Enabled Systems and Applications, Jul. 12, 2018.

J. Konrad, “Smart homes of the future: Should we worry?.” Comcast Research Meeting, Mar. 23, 2018.

J. Konrad, “Privacy-preserving indoor activity analysis.” invited lecture, Philips Research, Mar. 31, 2018.

J. Konrad, “Localization and recognition of indoor activities in the age of privacy concerns.” invited lecture,Boston Area MeetUp – Robotics and AI, Feb. 28, 2017.

J. Konrad, “Privacy-preserving indoor actvity analysis.” invited lecture, Emerson-LESA ERC Meeting, Rensselaer Polytechnic Institute, Troy, NY (via web), Oct. 4, 2016.

J. Konrad, “Privacy-preserving indoor actvity analysis.” invited lecture, Philips Data Science Symposium, Philips Lighting Research, Cambridge, MA, Sep. 13, 2016.

J. Konrad, “Image registration for evaluating the neuropathology of traumatic brain injury.” invited lecture, Brigham and Women’s Hospital and Boston University Symposium, Boston, MA, Jun. 10, 2016.

J. Konrad, “Privacy-preserving visual sensing.” invited lecture, Concordia University, Montreal, Canada, Apr. 7, 2016.

J. Konrad, “Recognition of human activities: Can privacy be preserved?.” invited lecture, IEEE Signal Processing Society, Montreal Section, McGill University, Montreal, Canada, Oct. 1, 2015.

J. Konrad, “Towards privacy-preserving recognition of human activities.” keynote lecture at the Annual Workshop of the Sherbrooke Research Center for Intelligent Environments, Jun. 29, 2015.

J. Konrad, “Gesture-based authentication: Swinging your way to security.” invited lecture, Alpen Adria University, Klagenfurt, Austria, Jul. 21, 2014.

J. Konrad, “Gesture-based authentication: Swinging your way to security.” invited lecture, Tufts University, Medford, MA, Nov. 26, 2013.

J. Konrad, “Learning-based, automatic 2D-to-3D image conversion.” invited lecture, Technical University of Poznań, Poland, Aug. 19, 2013.

J. Konrad, “Learning-based, automatic 2D-to-3D image conversion.” invited lecture, ETH and Disney Research, Zurich, Switzerland, Aug. 13, 2013.

J. Konrad, “3D Ills: Can Signal Processing Help?.” invited lecture, Ryerson University, Toronto, Canada, May 10, 2013.

J. Konrad, “VIDEOPSY: Towards Autonomous Video Surveillance.” invited lecture, University of Toronto, Toronto, Canada, May 7, 2012.

J. Konrad, “3D Hardware, Processing and Content: Are We There Yet?.” invited lecture, University of Alberta, Edmonton, Canada, Mar. 30, 2012.

J. Konrad, “VIDEOPSY: Towards Autonomous Video Surveillance.” invited lecture, Massachusetts Institute of Technology, Media Lab, Mar. 18, 2011.

J. Konrad, “VIDEOPSY: Enabling Technology for Networked Video Surveillance.” invited lecture, Koc University, Turkey, Aug. 26, 2010.

J. Konrad, “VIDEOPSY: Enabling Technology for Networked Video Surveillance.” invited lecture at University of California, Berkeley, Apr. 16, 2010.

J. Konrad, “VIDEOPSY: Enabling Technology for Networked Video Surveillance.” invited plenary lecture at XXII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2009), Rio de Janeiro, Brazil, Oct. 13, 2009.

J. Konrad, “VIDEOPSY: Enabling Technology for Camera Webs.” invited lecture at Worcester Polytechnic Institute, Worcester, MA, Mar. 13, 2008.

J. Konrad, “3-D displays and signal processing: An answer to 3-D ills?.” keynote lecture at the XV-th European Signal Processing Conference, EUSIPCO-2007, Poznań, Poland, Sep. 7, 2007).

J. Konrad, “3-D TV without glasses: Optics meets signal processing.” invited plenary lecture at the International 3-D Forum “Dimension 3 Expo”, Chalon-sur-Saone, France, Jun. 7, 2007.

J. Konrad, “3-D display technologies: Then and now.” invited presentation at Analogic Corp., Peabody, MA, Mar. 15, 2007.

J. Konrad, “Signal processing and compression for spatially-multiplexed multi-view 3D displays.” invited lecture at Universitat Polytècnica de Catalunya, Barcelona, Spain, Jun. 20, 2006.

J. Konrad, “Motion modeling for spatial scalability.” invited lecture at Université de Nice Sophia Antipolis, France, Jun. 14, 2006.

J. Konrad, “Next-generation visual communications: will efficiency follow effectiveness?.” invited lecture at Ecole Nationale Supérieure de Télécommunications, Paris, France, Jun. 23, 2005.

J. Konrad, “Next-generation visual communications: will efficiency follow effectiveness?.” invited lecture at Imperial College of London, UK, Jun. 20, 2005.

J. Konrad, “Next-generation visual communications: will efficiency follow effectiveness?.” invited lecture at Université de Nice Sophia Antipolis, France, June 2005.

J. Konrad, “Next-generation visual communications: from efficiency to effectiveness.” invited seminar at Mitsubishi Electric Research Laboratory, Cambridge, MA, Mar. 10, 2005.

J. Konrad, “3-D visualization and communication: Are we there yet?.” invited lecture at Neuro Muscular Research Center, Department of Biomedical Engineering, Boston University, Oct. 14, 2004.

J. Konrad, “Motion-compensated temporal discrete wavelet transform: To lift or not to lift, that is the question.” invited lecture at Renselear Polytechnic Institute, Troy, NY, Sep. 3, 2004.

J. Konrad, “3-D visual communications: How far off are we?.” invited lecture at Politecnico di Milano, Milan, Italy, Jun. 25, 2004.

J. Konrad, “Motion-compensated temporal discrete wavelet transform: To lift or not to lift, that is the question.” invited lecture at École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, Jul. 5, 2004.

J. Konrad, “Multiple-frame tracking of objects and occlusions.” invited seminar at Sony Imageworks, Culver City, CA, Jan. 23, 2004.

J. Konrad, “Information systems and sciences at Boston University: the signal/image processing view.” invited lecture at Université de Nice Sophia Antipolis, France, June 2003.

J. Konrad, “Visual communications: from fundamentals to commerce.” intensive 5-day course at Ecole Superieure des Communications, Tunis, Tunisia, Apr. 10-14, 2000 (invited by the Canadian Agency for International Development).

J. Konrad, “Digital video technology.” invited lecture at the CAID Symposium “Information Technology”, Tunis, Tunisia, Apr. 18-20, 2000 (invited by the Canadian Agency for International Development).

J. Konrad, “3-D visual communications.” invited lecture at the CAID Symposium “Information Technology”, Tunis, Tunisia, Apr. 18-20, 2000 (invited by the Canadian Agency for International Development).

J. Konrad, “3-D visual communications.” invited series of seminars presented at the Technical University of Tampere, Tampere, Finland, Aug. 1998.

J. Konrad, “Panorama des communications visuelles: Passé, present et futur.” invited seminar at the 8-ème Congrès des étudiantes et des étudiants en génie électrique et informatique, University of Laval, Québec, Canada, Feb. 1997.

J. Konrad, “From videophone to 3-D TV: A video revolution?.” invited presentation for the Montreal Section of the IEEE, Montreal, Canada, Dec. 1995.

J. Konrad, “Digital video: fundamentals and applications.” invited presentation at the IX-th Annual SIDEC Conference “Tecnologia que rompe fronteras”, Instituto y de Estudios Superiores de Monterrey, Monterrey, Mexico, Feb. 1994 (invited by Northern Telecom).

J. Konrad, “Image communications: fundamentals and applications.” invited seminar at “Ecole Franco-Polonaise de Poznań en Nouvelles Technologies de l’Information et de la Communication”, Poznań, Poland, June 1993 (invited).

J. Konrad, “Issues of accuracy and complexity in motion compensation for ATV systems.” invited presentation at “Les Assises des Jeunes Chercheurs”, Club de Rennes, Montréal, Canada, June 1990.

J. Konrad, “Bayesian estimation of 2-D motion from time-varying images.” invited lecture at Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Rennes, France, June 1989.

J. Konrad, “Motion-compensated interpolation for TV frame-rate conversion.” invited presentation at “Les Assises des Jeunes Chercheurs”, Club de Rennes, Boston, USA, Oct. 1988.