Human identification using Linear Multiclass SVM and Eye Movement biometrics. - Namrata Srivastava; Utkarsh Agrawal; Soumava Kumar Roy; Uma Shanker Tiwary (IC3, 2015)

Constrained Stochastic Gradient Descent: The Good Practice. - Soumava Kumar Roy; Mehrtash Harandi (DICTA, 2017)

Geometry Aware Constrained Optimization Techniques for Deep Learning. - Soumava Kumar Roy; Zakaria Mhammedi; Mehrtash Harandi (CVPR, 2018)

Bilinear Attention Networks for Person Retrieval. - Pengfei Fang; Jieming Zhou; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (ICCV, 2019)

Siamese Networks: The Tale of Two Manifolds. - Soumava Kumar Roy; Mehrtash Harandi; Richard Nock; Richard I. Hartley (ICCV, 2019)

Learning from Noisy Labels via Discrepant Collaborative Training. - Yan Han; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (WACV, 2020)

Cross-Correlated Attention Networks for Person Re-Identification. - Jieming Zhou; Soumava Kumar Roy; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Image Vis. Comput., 2020)

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. - Ali Cheraghian; Shafin Rahman; Pengfei Fang; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (CVPR, 2021)

Discrepant collaborative training by Sinkhorn divergences. - Yan Han; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (Image Vis. Comput., 2021)

On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation. - Soumava Kumar Roy; Leonardo Citraro; Sina Honari; Pascal Fua (3DV, 2022)

Learning Deep Optimal Embeddings with Sinkhorn Divergences. - Soumava Kumar Roy; Yan Han; Mehrtash Harandi; Lars Petersson (CoRR, 2022)

Attention in Attention Networks for Person Retrieval. - Pengfei Fang; Jieming Zhou; Soumava Kumar Roy; Pan Ji; Lars Petersson; Mehrtash Harandi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

RMAML: Riemannian meta-learning with orthogonality constraints. - Hadi Tabealhojeh; Peyman Adibi; Hossein Karshenas; Soumava Kumar Roy; Mehrtash Harandi (Pattern Recognit., 2023)

Occlusion Resilient 3D Human Pose Estimation. - Soumava Kumar Roy; Ilia Badanin; Sina Honari; Pascal Fua (3DV, 2024)

FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. - Hadi Tabealhojeh; Soumava Kumar Roy; Peyman Adibi; Hossein Karshenas (CoRR, 2024)

Learning from Noisy Labels with Contrastive Co-Transformer. - Yan Han; Soumava Kumar Roy; Mehrtash Harandi; Lars Petersson (CoRR, 2025)

Vision-based power line cables and pylons detection for low flying aircraft. - Jakub Gwizdala; Doruk Öner; Soumava Kumar Roy; Mian Akbar Shah; Ad Eberhard; Ivan Egorov; Philipp Krüsi; Grigory Yakushev; Pascal Fua (Mach. Vis. Appl., 2025)