Search Results for author: Sanjoy Chowdhury

Found 6 papers, 1 papers with code

APoLLo: Unified Adapter and Prompt Learning for Vision Language Models

no code implementations4 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.

AdVerb: Visually Guided Audio Dereverberation

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.

Speaker Verification Speech Enhancement +2

ASPIRE: Language-Guided Augmentation for Robust Image Classification

no code implementations19 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.

Classification Data Augmentation +2

Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation

no code implementations27 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.

Intrinsic Image Decomposition Inverse Rendering

V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal

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.

Reflection Removal

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