Soumava Kumar Roy

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Incremental Learning

Occlusion Detection

Partially Occluded

Top Venues

Image Vis. Comput.

Publications

Jakub Gwizdala, Doruk Öner, Soumava Kumar Roy, Mian Akbar Shah, Ad Eberhard, Ivan Egorov, Philipp Krüsi, Grigory Yakushev, Pascal Fua
Vision-Based Power Line Cables and Pylons Detection for Low Flying Aircraft. CoRR (2024)
Soumava Kumar Roy, Ilia Badanin, Sina Honari, Pascal Fua
Occlusion Resilient 3D Human Pose Estimation. 3DV (2024)
Soumava Kumar Roy, Ilia Badanin, Sina Honari, Pascal Fua
Occlusion Resilient 3D Human Pose Estimation. CoRR (2024)
Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas
FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. CoRR (2024)
Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi
RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. 140 (2023)
Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson
Learning Deep Optimal Embeddings with Sinkhorn Divergences. CoRR (2022)
Soumava Kumar Roy, Leonardo Citraro, Sina Honari, Pascal Fua
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation. 3DV (2022)
Soumava Kumar Roy, Leonardo Citraro, Sina Honari, Pascal Fua
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation. CoRR (2022)
Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson, Mehrtash Harandi
Attention in Attention Networks for Person Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CVPR (2021)
Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CoRR (2021)
Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Discrepant collaborative training by Sinkhorn divergences. Image Vis. Comput. 112 (2021)
Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Cross-Correlated Attention Networks for Person Re-Identification. Image Vis. Comput. 100 (2020)
Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Cross-Correlated Attention Networks for Person Re-Identification. CoRR (2020)
Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Learning from Noisy Labels via Discrepant Collaborative Training. WACV (2020)
Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley
Siamese Networks: The Tale of Two Manifolds. ICCV (2019)
Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Bilinear Attention Networks for Person Retrieval. ICCV (2019)
Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi
Geometry Aware Constrained Optimization Techniques for Deep Learning. CVPR (2018)
Soumava Kumar Roy, Mehrtash Harandi
Constrained Stochastic Gradient Descent: The Good Practice. DICTA (2017)
Namrata Srivastava, Utkarsh Agrawal, Soumava Kumar Roy, U. S. Tiwary
Human identification using Linear Multiclass SVM and Eye Movement biometrics. IC3 (2015)