Profile

Abhra Chaudhuri

Abhra Chaudhuri

PhD Student in Computer Science

Visit personal website »

I am supervised by Anjan Dutta and Zeynep Akata. I am also an Enrichment Student at The Alan Turing Institute, and an Intern at the Fujitsu Research of Europe, working in the Graph AI group on interpretable representation learning for problems in multi-modal genomics.

The general area of my research is representation learning from multiple views. Although I primarily deal with problems from computer vision, I am open to collaboration in other domains as well. I aim to design algorithms that are interpretable, and preferably, theoretically sound.

My interests lie in the mathematical foundations of computer science - information theory, linear algebra, graph theory and combinatorics to name a few. I also picked up a curiosity for functional programming and distributed systems during my stint as a software engineer at Informatica.

1. Abhra Chaudhuri, Serban Georgescu, and Anjan Dutta. "Learning Conditional Invariances through Non-Commutativity". In the Proceedings of International Conference on Learning Representations (ICLR), Vienna, Austria, 2024.
2. Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata and Anjan Dutta. "Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships". In the Proceedings of Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023.
3. Abhra Chaudhuri, Ayan Kumar Bhunia, Yi-Zhe Song and Anjan Dutta. "Data-Free Sketch-Based Image Retrieval". In the Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023.
4. Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata and Anjan Dutta. "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators". In the Proceedings of Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2022 (Spotlight).
5. Abhra Chaudhuri, Massimiliano Mancini, Yanbei Chen, Zeynep Akata and Anjan Dutta. "Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval". In the Proceedings of British Machine Vision Conference (BMVC), London, UK, 2022.
6. Abhra Chaudhuri, Palaiahnakote Shivakumara, Pinaki Nath Chowdhury, Umapada Pal, Tong Lu, Daniel Lopresti, G Hemantha Kumar. “A deep action-oriented video image classification system for text detection and recognition”. In Springer Nature Applied Sciences, 2021.