88 citations · 144 across the 12 of their papers we have counts for
8 papers · 1 filter
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
Yuheng Yang, Haipeng Chen, Zhenguang Liu +5
Action recognition has long been a fundamental and intriguing problem in artificial intelligence. The task is challenging due to the high dimensionality nature of an action, as wel…
Copy Motion From One to Another: Fake Motion Video Generation
Zhenguang Liu, Sifan Wu, Chejian Xu +4
One compelling application of artificial intelligence is to generate a video of a target person performing arbitrary desired motion (from a source person). While the state-of-the-a…
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
Zhenguang Liu, Runyang Feng, Haoming Chen +4
Multi-frame human pose estimation has long been a compelling and fundamental problem in computer vision. This task is challenging due to fast motion and pose occlusion that frequen…
Motion Prediction via Joint Dependency Modeling in Phase Space
Pengxiang Su, Zhenguang Liu, Shuang Wu +3
Motion prediction is a classic problem in computer vision, which aims at forecasting future motion given the observed pose sequence. Various deep learning models have been proposed…
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction
Zhenguang Liu, Shuang Wu, Shuyuan Jin +4
Predicting human motion from historical pose sequence is crucial for a machine to succeed in intelligent interactions with humans. One aspect that has been obviated so far, is the…
Learning Human Motion Prediction via Stochastic Differential Equations
Kedi Lyu, Zhenguang Liu, Shuang Wu +3
Human motion understanding and prediction is an integral aspect in our pursuit of machine intelligence and human-machine interaction systems. Current methods typically pursue a kin…
Deep Dual Consecutive Network for Human Pose Estimation
Zhenguang Liu, Haoming Chen, Runyang Feng +4
Multi-frame human pose estimation in complicated situations is challenging. Although state-of-the-art human joints detectors have demonstrated remarkable results for static images,…
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
Zhenguang Liu, Kedi Lyu, Shuang Wu +3
Human motion prediction from historical pose sequence is at the core of many applications in machine intelligence. However, in current state-of-the-art methods, the predicted futur…