Junxi-Chen

University of Chinese Academy of Sciences

Pinned Repositories

animate-anything
Fine-Grained Open Domain Image Animation with Motion Guidance
Language:Python727 16 6061
114_register
114自动挂号
Language:Python23 2 48
LucasChenLC
30
PE-MIL
[CVPR 2024] Official code for paper: Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection.
130
video_features
Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.
Language:Python00
vscode
Visual Studio Code
Language:TypeScript163k 3.3k 184k28.8k
video_features
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
Language:Python507 6 7495
Towards-OpenVAD
Official implementation for ECCV paper "Towards Open Set Video Anomaly Detection"
15 3 20

Junxi-Chen's Repositories

Junxi-Chen/PE-MIL
[CVPR 2024] Official code for paper: Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection.
130
Junxi-Chen/LucasChenLC
30
Junxi-Chen/video_features
Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.
Language:Python00