From the 1 of 5 linked papers with an AI index.
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MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration
Zheng Zeng, Deepak Sridhar, Nuno Vasconcelos
The paper introduces MED-DSLC, a lightweight method that restores global logit comparability across independently fine‑tuned vision‑language model experts by using domain supervisi…
Video Reasoning without Training
Deepak Sridhar, Kartikeya Bhardwaj, Jeya Pradha Jeyaraj +3
Video reasoning using Large Multimodal Models (LMMs) relies on costly reinforcement learning (RL) and verbose chain-of-thought, resulting in substantial computational overhead duri…
SCHEME: Scalable Channel Mixer for Vision Transformers
Deepak Sridhar, Yunsheng Li, Nuno Vasconcelos
Vision Transformers have achieved impressive performance in many vision tasks. While the token mixer or attention block has been studied in great detail, much less research has bee…
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
Deepak Sridhar, Abhishek Peri, Rohith Rachala +1
Recent advances in generative modeling with diffusion processes (DPs) enabled breakthroughs in image synthesis. Despite impressive image quality, these models have various prompt c…
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models
Deepak Sridhar, Nuno Vasconcelos
Diffusion models have recently surpassed GANs in image synthesis and editing, offering superior image quality and diversity. However, achieving precise control over attributes in g…