1 citations · 1 across the 4 of their papers we have counts for
5 papers
KGS-GCN: Kinematics-Driven Gaussian Splatting and Probabilistic Topology for Skeleton-Based Action Recognition
Yuhan Chen, Yicui Shi, Guofa Li +4
Skeleton-based action recognition is widely applied in sensor-based systems, including human-computer interaction and intelligent surveillance. However, typical sensors produce spa…
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…
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…
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki
View-predictive generative models provide strong priors for lifting object-centric images and videos into 3D and 4D through rendering and score distillation objectives. A question…
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models
Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov +3
Object tracking is central to robot perception and scene understanding. Tracking-by-detection has long been a dominant paradigm for object tracking of specific object categories. R…