| Recent Publications | - Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks.
Prateep Bhattacharjee , Sukhendu Das
Appeared in Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA,
pp.4271-4280, Dec 2017 - Performance of Deep Learning Algorithms vs. Shallow Models, in Extreme Conditions - Some Empirical Studies.
Samik Banerjee , Prateep Bhattacharjee , Sukhendu Das
Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings,
Lecture Notes in Computer Science, Vol 10597, pp.565-574, Dec 2017 - Two-Stream Convolutional Network with Multi-level Feature Fusion for Categorization of Human Action from Videos.
Prateep Bhattacharjee , Sukhendu Das
Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings,
Lecture Notes in Computer Science, Vol 10597, pp.549-556, Dec 2017 - Moving object segmentation for jittery videos, by clustering of stabilized latent trajectories.
Geethu Miriam Jacob , Sukhendu Das
Appeared in Image Vision Comput.,
Vol 64, pp.10-22, Jan 2017 - Graph-Based Clustering for Apictorial Jigsaw Puzzles of Hand Shredded Content-less Pages.
Lalitha K. S. , Sukhendu Das , Arun Menon , Koshy Varghese
Appeared in Intelligent Human Computer Interaction - 8th International Conference, IHCI 2016, Pilani, India, December 12-13, 2016, Proceedings,
Lecture Notes in Computer Science, Vol 10127, pp.135-147, Dec 2016
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