no code implementations • 18 Feb 2024 • Jiajia Wang, Jimmy X. Huang, Xinhui Tu, Junmei Wang, Angela J. Huang, Md Tahmid Rahman Laskar, Amran Bhuiyan
Recent years have witnessed a substantial increase in the use of deep learning to solve various natural language processing (NLP) problems.
no code implementations • 9 Aug 2020 • Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
Our Mutual Attention network relies on the joint spatial attention between image and optical flow features maps to activate a common set of salient features across them.
Optical Flow Estimation Video-Based Person Re-Identification
2 code implementations • ECCV 2020 • Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger
We argue that for pair-wise matchers that rely on metric learning, e. g., Siamese networks for person ReID, the unsupervised domain adaptation (UDA) objective should consist in aligning pair-wise dissimilarity between domains, rather than aligning feature representations.
no code implementations • 4 Jul 2019 • Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger
Then, these techniques are analysed according to their pruningcriteria and strategy, and according to different scenarios for exploiting pruningmethods to fine-tuning networks to target domains.
no code implementations • 27 Oct 2018 • Frank Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger
Person re-identification is a key challenge for surveillance across multiple sensors.
no code implementations • CVPR 2017 • Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury
Most approaches have neglected the dynamic and open world nature of the re-identification problem, where a new camera may be temporarily inserted into an existing system to get additional information.