Soumava Kumar Roy

According to our database, Soumava Kumar Roy authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint.

Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas

CoRR, 2024

Occlusion Resilient 3D Human Pose Estimation.

Soumava Kumar Roy, Ilia Badanin, Sina Honari, Pascal Fua

CoRR, 2024

2023

RMAML: Riemannian meta-learning with orthogonality constraints.

Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi

Pattern Recognit., August, 2023

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

Learning Deep Optimal Embeddings with Sinkhorn Divergences.

Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson

CoRR, 2022

On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation.

Soumava Kumar Roy, Leonardo Citraro, Sina Honari, Pascal Fua

Proceedings of the International Conference on 3D Vision, 2022

2021

Discrepant collaborative training by Sinkhorn divergences.

Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Image Vis. Comput., 2021

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning.

Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Cross-Correlated Attention Networks for Person Re-Identification.

Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Image Vis. Comput., 2020

Learning from Noisy Labels via Discrepant Collaborative Training.

Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Siamese Networks: The Tale of Two Manifolds.

Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bilinear Attention Networks for Person Retrieval.

Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Geometry Aware Constrained Optimization Techniques for Deep Learning.

Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Constrained Stochastic Gradient Descent: The Good Practice.

Soumava Kumar Roy, Mehrtash Harandi

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2015

Human identification using Linear Multiclass SVM and Eye Movement biometrics.

Namrata Srivastava, Utkarsh Agrawal, Soumava Kumar Roy, Uma Shanker Tiwary

Proceedings of the Eighth International Conference on Contemporary Computing, 2015