activity
20232026
collaborators

7 papers

cs.LG2026

Scene-Consistent Illumination Transfer for Inserted Advertising Graphics

Rameshwar Mishra, Bishshoy Das, A. V. Subramanyam +1

Replacing a visible advertisement in a broadcast frame is geometrically straightforward but photometrically delicate. A pasted graphic can have the correct perspective and still ap…

cs.CV2026

AD-Relight: Training-Free Banner Relighting via Illumination Translation with Diffusion Priors

Rameshwar Mishra, A V Subramanyam, Bishshoy Das +1

The recent surge in content consumption through streaming services has driven a growing demand for personalized content. Personalized advertisements (ads) play a crucial role in en…

cs.CV2026

Unified Multi-Dataset Training for TBPS

Nilanjana Chatterjee, Sidharatha Garg, A V Subramanyam +1

Text-Based Person Search (TBPS) has seen significant progress with vision-language models (VLMs), yet it remains constrained by limited training data and the fact that VLMs are not…

cs.CV2025

Boosting Weak Positives for Text Based Person Search

Akshay Modi, Ashhar Aziz, Nilanjana Chatterjee +1

Large vision-language models have revolutionized cross-modal object retrieval, but text-based person search (TBPS) remains a challenging task due to limited data and fine-grained n…

cs.CV2024

Keypoint Aware Masked Image Modelling

Madhava Krishna, A V Subramanyam

SimMIM is a widely used method for pretraining vision transformers using masked image modeling. However, despite its success in fine-tuning performance, it has been shown to perfor…

cs.CV2023

IIITD-20K: Dense captioning for Text-Image ReID

A V Subramanyam, Niranjan Sundararajan, Vibhu Dubey +1

Text-to-Image (T2I) ReID has attracted a lot of attention in the recent past. CUHK-PEDES, RSTPReid and ICFG-PEDES are the three available benchmarks to evaluate T2I ReID methods. R…

cs.CV2023

Meta Generative Attack on Person Reidentification

A V Subramanyam

Adversarial attacks have been recently investigated in person re-identification. These attacks perform well under cross dataset or cross model setting. However, the challenges pres…