collaborators

5 papers

cs.CV2026

Point Prompting: Counterfactual Tracking with Video Diffusion Models

Ayush Shrivastava, Sanyam Mehta, Daniel Geng +1

Trackers and video generators solve closely related problems: the former analyze motion, while the latter synthesize it. We show that this connection enables pretrained video diffu…

cs.CV2026

ThermEval: A Structured Benchmark for Evaluation of Vision-Language Models on Thermal Imagery

Ayush Shrivastava, Kirtan Gangani, Laksh Jain +2

Vision language models (VLMs) achieve strong performance on RGB imagery, but they do not generalize to thermal images. Thermal sensing plays a critical role in settings where visib…

cs.CV2025

Fine-grained Defocus Blur Control for Generative Image Models

Ayush Shrivastava, Connelly Barnes, Xuaner Zhang +4

Current text-to-image diffusion models excel at generating diverse, high-quality images, yet they struggle to incorporate fine-grained camera metadata such as precise aperture sett…

cs.CV2025

Self-Supervised Spatial Correspondence Across Modalities

Ayush Shrivastava, Andrew Owens

We present a method for finding cross-modal space-time correspondences. Given two images from different visual modalities, such as an RGB image and a depth map, our model identifie…

cs.CV2025

Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation

Rohith Peddi, Saurabh, Ayush Abhay Shrivastava +2

Spatio-Temporal Scene Graphs (STSGs) provide a concise and expressive representation of dynamic scenes by modeling objects and their evolving relationships over time. However, real…