Subhabrata Choudhury

Subhabrata Choudhury

google scholar

Education

University of Oxford

Max-Planck Institute for Informatics

Saarland University

IIT Kharagpur

Experience

Meta Reality Labs Research

Publications

Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi

IJCV 2023 | BMVC 2021 (Oral) [ Best Student Paper Award ]

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@article{choudhury2023curious, title = {The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels}, author = {Choudhury, Subhabrata and Laina, Iro and Rupprecht, Christian and Vedaldi, Andrea}, date = {2023/09/13}, journal = {International Journal of Computer Vision}, year = {2023} }

Proposes a new problem of fine-grained image classification without expert annotations, by utilizing class agnostic non-expert descriptions and off-the-shelf expert corpus

Laurynas Karazija*, Subhabrata Choudhury*, Iro Laina, Christian Rupprecht, Andrea Vedaldi

NeurIPS 2022

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@inproceedings{karazija+choudhury2022unsupervised, author = {Karazija, Laurynas and Choudhury, Subhabrata and Laina, Iro and Rupprecht, Christian and Vedaldi, Andrea}, booktitle = {Advances in Neural Information Processing Systems}, title = {Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns}, year = {2022}, }

We learn to segment independent objects in still images by predicting regions that contain motion patterns likely to arise from such objects.

Subhabrata Choudhury*, Laurynas Karazija*, Iro Laina, Andrea Vedaldi, Christian Rupprecht

BMVC 2022 (Spotlight)

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@inproceedings{choudhury+karazija2022guess, author = {Choudhury, Subhabrata and Karazija, Laurynas and Laina, Iro and Vedaldi, Andrea and Rupprecht, Christian}, booktitle = {British Machine Vision Conference} title = {Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion} year = {2022} }

We use motion anticipation as a learning signal to train an image segmentation network to predict regions that likely contain similar optical flow patterns

Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi

NeurIPS 2021

pdf ⋄ project page ⋄ video ⋄ code ⋄ arXiv ⋄ BibTeX

@inproceedings{choudhury2021unsupervised, author = {Choudhury, Subhabrata and Laina, Iro and Rupprecht, Christian and Vedaldi, Andrea}, booktitle = {Advances in Neural Information Processing Systems}, title = {Unsupervised Part Discovery from Contrastive Reconstruction}, volume = {35}, year = {2021}, }

Unsupervised discovery of semantically meaningful parts of objects using appearance consistency cues and contrastive learning

Yongqin Xian*, Subhabrata Choudhury*, Yang He, Bernt Schiele, Zeynep Akata

CVPR 2019

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@InProceedings{xian+choudhury2019semantic, author = {Xian, Yongqin and Choudhury, Subhabrata and He, Yang and Schiele, Bernt and Akata, Zeynep}, title = {Semantic Projection Network for Zero- and Few-Label Semantic Segmentation}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2019} }

Extenstion of zero-shot learning to segmentation: perform dense labelling of 'unseen' test classes by training on mutually exclusive 'seen' training classes with additional help from side information