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20122025
most citedNon-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning

11 citations · 20 across the 15 of their papers we have counts for

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cs.CV2025

Compact Attention: Exploiting Structured Spatio-Temporal Sparsity for Fast Video Generation

Qirui Li, Guangcong Zheng, Qi Zhao +4

The computational demands of self-attention mechanisms pose a critical challenge for transformer-based video generation, particularly in synthesizing ultra-long sequences. Current…

cs.CV2025

Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning

Mingxuan Cui, Qing Guo, Yuyi Wang +5

3D Gaussian Splatting (3DGS) has emerged as a powerful and efficient 3D representation for novel view synthesis. This paper extends 3DGS capabilities to inpainting, where masked ob…

cs.CV2025

RealCam-Vid: High-resolution Video Dataset with Dynamic Scenes and Metric-scale Camera Movements

Guangcong Zheng, Teng Li, Xianpan Zhou +1

Recent advances in camera-controllable video generation have been constrained by the reliance on static-scene datasets with relative-scale camera annotations, such as RealEstate10K…

cs.CV2024

CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition

Huanzhang Dou, Pengyi Zhang, Yuhan Zhao +2

Gait recognition, which aims at identifying individuals by their walking patterns, has achieved great success based on silhouette. The binary silhouette sequence encodes the walkin…

cs.CV20241 cited

BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection

Wenjie Wang, Yehao Lu, Guangcong Zheng +6

Vision-based roadside 3D object detection has attracted rising attention in autonomous driving domain, since it encompasses inherent advantages in reducing blind spots and expandin…

cs.CV20241 cited

MovieChat+: Question-aware Sparse Memory for Long Video Question Answering

Enxin Song, Wenhao Chai, Tian Ye +3

Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks. Yet…