8 citations · 8 across the 4 of their papers we have counts for
5 papers
Look Where It Counts: A Free, Label-Free Visual Evidence Signal for Fine-Grained Vision-Language Reasoning
Santi Ram Tiwari, Nihal Naik, Devbrat Pandey +1
Multimodal large language models (MLLMs) fail at fine-grained visual questions less because they cannot reason than because they never see the evidence: high-resolution images are…
ChronoStitch: Training-Free Composition of Visual KV Memories for Long-Horizon Temporal Reasoning
Santiram Tiwari, Nishant Sinha, Kunal Kislay
Long-video question answering requires a model to preserve visual evidence over time without repeatedly reprocessing the same video. A practical approach is to store the vision-lan…
Probing TryOnGAN
Saurabh Kumar, Nishant Sinha
TryOnGAN is a recent virtual try-on approach, which generates highly realistic images and outperforms most previous approaches. In this article, we reproduce the TryOnGAN implement…
Learn to Bind and Grow Neural Structures
Azhar Shaikh, Nishant Sinha
Task-incremental learning involves the challenging problem of learning new tasks continually, without forgetting past knowledge. Many approaches address the problem by expanding th…
Gestop : Customizable Gesture Control of Computer Systems
Sriram Krishna, Nishant Sinha
The established way of interfacing with most computer systems is a mouse and keyboard. Hand gestures are an intuitive and effective touchless way to interact with computer systems.…