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We propose a method for unsupervised discovery of semantically meaningful parts of objects using appearance consistency cues and contrastive learning. Work done in collaboration with Iro Laina, @chrirupp, and Andrea Vedaldi. To be presented at #NeurIPS2021.

We propose a new problem of fine-grained image classification without expert annotations - by utilizing class agnostic non-expert descriptions and off-the-shelf expert corpus. Shout out to my amazing collaborators Iro Laina, @chrirupp and Andrea Vedaldi. An oral in #BMVC2021.

Congratulations to Subhabrata Choudhury iro @chrirupp and Andrea Vedaldi on receiving the Best Student Paper Award at British Machine Vision Conference (BMVC) 🎉🎉 Check out the paper: "The Curious Layperson" robots.ox.ac.uk/~vgg/research/…

Check out our poster at NeurIPS Conference, we are at spot B0 in gathertown! Unsupervised Part Discovery from Contrastive Reconstruction Subhabrata Choudhury, iro, @chrirupp, Andrea Vedaldi ⏰ Tue 7 Dec 16:30-18:00 GMT 🚩 gathertown : eventhosts.gather.town/app/vIzpG7xd3D… 🚩 page: robots.ox.ac.uk/~vgg/research/…

*Unsupervised Part Discovery from Contrastive Reconstruction* #NeurIPS by Subhabrata Choudhury iro @chrirupp Vedaldi Beautiful paper on the automatic segmentation of an image into meaningful parts with only self-supervised objectives. arxiv.org/abs/2111.06349

Happy to share our "Temporal Alignment Networks for Long-term Video" in CVPR2022 (oral). Our model learns to align text and visual in untrimmed long videos without human annotation. We can get an auto-aligned web-scale video dataset for video representation learning! #CVPR2022

Come see us at Poster 217a, Session 2.1! Work done Visual Geometry Group (VGG) with @kaihan_vis, Andrea Vedaldi and Andrew Zisserman. Project Page: robots.ox.ac.uk/~vgg/research/… Code: github.com/sgvaze/general…

Excited to be at #NeurIPS2022 from Tuesday onward. We'll be presenting our work on unsupervised multi-object segmentation using motion cues. Feel free to DM for a chat or if you are going out to explore NOLA, I am in! 😁

How can one agent learn from demonstrations of a different agent? Come check out our paper on cross-domain imitation learning at #NeurIPS2022 tomorrow at 11AM (Hall J #612). Website: fratim.github.io/UDIL/ Paper: arxiv.org/abs/2209.12093

Did you know, that you can build a virtual machine inside ChatGPT? And that you can use this machine to create files, program and even browse the internet? engraved.blog/building-a-vir…

Excited to present our #ICASSP2024 work ‘A Sound Approach: Using LLMs to Generate Audio Descriptions for Egocentric Text-Audio Retrieval’ which introduces egocentric text-audio retrieval benchmarks. Poster: MLSP-P8.8 (Apr 16th, 16:30-18:30) Paper: arxiv.org/abs/2402.19106