Publications
Markov Progressive Framework, a Universal Paradigm for Modeling Long Videos
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
[paper]
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
Semantic Segmentation by Early Region Proxy
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
[paper]
Human Pose Regression with Residual Log-likelihood Estimation
PGT: A Progressive Method for Training Models on Long Videos
TDAF: Top-Down Attention Framework for Vision Tasks
AAAI Conference on Artificial Intelligence (AAAI), 2021
[paper]
Complex sequential understanding through the awareness of spatial and temporal concepts
Nature Machine Intelligence
[paper] [Read-Only Link] [Arxiv] [code]
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model
Further Understanding Videos through Adverbs: A New Video Task
AAAI Conference on Artificial Intelligence (AAAI), 2020
[paper]
Deep RNN Framework for Visual Sequential Applications
Human Action Adverb Recognition: ADHA Dataset and A Three-Stream Hybrid Model
IEEE Conference on Computer Vision and Pattern Recognition Workshops(CVPRW), 2018
[paper]
Asynchronous Interaction Aggregation for Action Detection
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
British Machine Vision Conference 2020 (BMVC), 2020
[paper]
Efficient 3D Video Engine Using Frame Redundancy
Winter Conference on Applications of Computer Vision 2021 (WACV), 2021
[paper]