Search Results for author: Amran Bhuiyan

Found 6 papers, 1 papers with code

Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges

no code implementations18 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.

Information Retrieval Retrieval

A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification

no code implementations9 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

Unsupervised Domain Adaptation in the Dissimilarity Space for 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.

Data Augmentation Metric Learning +2

Exploiting Prunability for Person Re-Identification

no code implementations4 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.

Person Re-Identification

Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks

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.

Person Re-Identification

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