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20242026
most citedVideoPrism: A Foundational Visual Encoder for Video Understanding

14 citations · 14 across the 4 of their papers we have counts for

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cs.CV2026

SMG: Semantic Motion Graph for Monocular Dynamic Gaussian Splatting

Haozheng Yu, Xinyu Yang, Rundong Luo +2

We study dynamic Gaussian Splatting from monocular videos. While recent advancements in dynamic Gaussian splatting offer a promising foundation for modeling dynamic scenes, they of…

cs.CV2026

WildFin: An In-the-Wild Dataset for Fish Behavioral Recognition

Abigail G. Grassick, Jerome Tze-Hou Hsu, Ethan Lin +10

Recent advances in field technology have led to a massive influx of in-the-wild video data for ecological science. The primary bottleneck in leveraging this data is the high cost o…

cs.CV2026

Live Interactive Training for Video Segmentation

Xinyu Yang, Haozheng Yu, Yihong Sun +2

Interactive video segmentation often requires many user interventions for robust performance in challenging scenarios (e.g., occlusions, object separations, camouflage, etc.). Yet,…

cs.CV2025

Tracking and Understanding Object Transformations

Yihong Sun, Xinyu Yang, Jennifer J. Sun +1

Real-world objects frequently undergo state transformations. From an apple being cut into pieces to a butterfly emerging from its cocoon, tracking through these changes is importan…

cs.CV2024

Video Creation by Demonstration

Yihong Sun, Hao Zhou, Liangzhe Yuan +7

We explore a novel video creation experience, namely Video Creation by Demonstration. Given a demonstration video and a context image from a different scene, we generate a physical…

cs.CV2024★ 14 cited

VideoPrism: A Foundational Visual Encoder for Video Understanding

Long Zhao, Nitesh B. Gundavarapu, Liangzhe Yuan +16

We introduce VideoPrism, a general-purpose video encoder that tackles diverse video understanding tasks with a single frozen model. We pretrain VideoPrism on a heterogeneous corpus…