Department of Computer Science & Engineering

Research Interests :

Publications : (Last Five, while at IITM)DBLP | View All

• Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks. 
  
  Authors : 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. 
  
  Authors : 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. 
  
  Authors : 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. 
  
  Authors : 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. 
  
  Authors : 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 (IHCI 2016) ,Lecture Notes in Computer Science, Vol 10127, pp.135-147, Dec 2016

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