activity
20172026
most citedUnsupervised Learning of Video Representations via Dense Trajectory Clustering

16 citations · 32 across the 10 of their papers we have counts for

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16 papers · 1 filter

cs.CV2026

AnyView: Synthesizing Any Novel View in Dynamic Scenes

Basile Van Hoorick, Dian Chen, Shun Iwase +7

Modern generative video models excel at producing convincing, high-quality outputs, but struggle to maintain multi-view and spatiotemporal consistency in highly dynamic real-world…

cs.CV2025

AllTracker: Efficient Dense Point Tracking at High Resolution

Adam W. Harley, Yang You, Xinglong Sun +11

We introduce AllTracker: a model that estimates long-range point tracks by way of estimating the flow field between a query frame and every other frame of a video. Unlike existing…

cs.CV2025

Generative 4D Scene Gaussian Splatting with Object View-Synthesis Priors

Wen-Hsuan Chu, Lei Ke, Jianmeng Liu +3

We tackle the challenge of generating dynamic 4D scenes from monocular, multi-object videos with heavy occlusions, and introduce GenMOJO, a novel approach that integrates rendering…

cs.CV2025

Understanding Complexity in VideoQA via Visual Program Generation

Cristobal Eyzaguirre, Igor Vasiljevic, Achal Dave +5

We propose a data-driven approach to analyzing query complexity in Video Question Answering (VideoQA). Previous efforts in benchmark design have relied on human expertise to design…

cs.CV2024

ReferEverything: Towards Segmenting Everything We Can Speak of in Videos

Anurag Bagchi, Zhipeng Bao, Yu-Xiong Wang +2

We present REM, a framework for segmenting a wide range of concepts in video that can be described through natural language. Our method leverages the universal visual-language mapp…

cs.CV2024

GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion

Vitor Guizilini, Pavel Tokmakov, Achal Dave +1

3D reconstruction from a single image is a long-standing problem in computer vision. Learning-based methods address its inherent scale ambiguity by leveraging increasingly large la…