research
∙
08/27/2023
AIGC for Various Data Modalities: A Survey
AI-generated content (AIGC) methods aim to produce text, images, videos,...
share
research
∙
08/25/2023
Distribution-Aligned Diffusion for Human Mesh Recovery
Recovering a 3D human mesh from a single RGB image is a challenging task...
research
∙
04/09/2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
Learning with large-scale unlabeled data has become a powerful tool for ...
research
∙
04/01/2023
Progressive Channel-Shrinking Network
Currently, salience-based channel pruning makes continuous breakthroughs...
research
∙
04/01/2023
GradMDM: Adversarial Attack on Dynamic Networks
Dynamic neural networks can greatly reduce computation redundancy withou...
research
∙
03/28/2023
System-status-aware Adaptive Network for Online Streaming Video Understanding
Recent years have witnessed great progress in deep neural networks for r...
research
∙
11/30/2022
DiffPose: Toward More Reliable 3D Pose Estimation
Monocular 3D human pose estimation is quite challenging due to the inher...
research
∙
10/03/2022
Heatmap Distribution Matching for Human Pose Estimation
For tackling the task of 2D human pose estimation, the great majority of...
research
∙
09/03/2022
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
The goal of fine-grained action recognition is to successfully discrimin...
research
∙
07/20/2022
ERA: Expert Retrieval and Assembly for Early Action Prediction
Early action prediction aims to successfully predict the class label of ...
research
∙
07/21/2020
