Animesh Gupta — accepted AI-conference papers

2025

From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos

Animesh Gupta, Jay Parmar, Ishan Rajendrakumar Dave, Mubarak Shah

NeurIPS 2025poster

Composed Video Retrieval (CoVR) retrieves a target video given a query video and a modification text describing the intended change. Existing CoVR benchmarks emphasize appearance shifts or coarse event changes and therefore do not test the ability to capture subtle, fast-paced temporal differences.…

Cited by 0 Source ↗code ↗Scholar ↗

2022

Adaptive Fine-Grained Sketch-Based Image Retrieval

Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang +1

ECCV 2022poster

"The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) has shifted towards generalising a model to new categories without any training data from them. In real-world applications, however, a trained FG-SBIR model is often applied to both new categories and different human sketchers,…

Cited by 30 Source ↗PDF ↗code ↗Scholar ↗