no code implementations • 18 Mar 2024 • Vishnu Sashank Dorbala, Sanjoy Chowdhury, Dinesh Manocha
We present a novel approach to automatically synthesize "wayfinding instructions" for an embodied robot agent.
no code implementations • 4 Dec 2023 • Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha
Our method is designed to substantially improve the generalization capabilities of VLP models when they are fine-tuned in a few-shot setting.
no code implementations • ICCV 2023 • Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta, Anton Ratnarajah, Utkarsh Tyagi, Dinesh Manocha
We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio.
no code implementations • 19 Aug 2023 • Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, Sakshi Singh, Sanjoy Chowdhury, Dinesh Manocha
This paper presents ASPIRE (Language-guided data Augmentation for SPurIous correlation REmoval), a simple yet effective solution for expanding the training dataset with synthetic images without spurious features.
no code implementations • 27 Jun 2023 • Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja, David Jacobs, Soumyadip Sengupta
We then finetune different algorithms on our MAW dataset to significantly improve the quality of the reconstructed albedo both quantitatively and qualitatively.
1 code implementation • ICCV 2021 • B H Pawan Prasad, Green Rosh K S, Lokesh R. Boregowda, Kaushik Mitra, Sanjoy Chowdhury
Our method processes the corrupted image in two stages, a Low Scale Sub-network (LSSNet) to process the lowest scale and a Progressive Inference (PI) stage to process all the higher scales.