VCLA provides research opportunities for Undergraduate and Master's students at UCLA to work together with our Ph.D students and Postdocs.
See our Project Bulletin.

Vision with Robot Autonomy and Language



Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning about Containment Relations and Human Actions
Wei Liang, Yixin Zhu, and Song-Chun Zhu
Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes
Chenfanfu Jiang*, Yixin Zhu*, Siyuan Qi*, Siyuan Huang*, Lap-Fai Yu, Demetri Terzopoulos, and Song-Chun Zhu
*Equal contributors
Inferring Forces and Learning Human Utilities From Videos
Yixin Zhu*, Chenfanfu Jiang*, Yibiao Zhao, Demetri Terzopoulos, and Song-Chun Zhu
*Equal contributors
What is Where: Inferring Containment Relations from Videos
Wei Liang, Yibiao Zhao, Yixin Zhu, and Song-Chun Zhu
Mining And-Or Graphs for Graph Matching and Object Discovery

Quanshi Zhang, Ying Nian Wu, and Song-Chun Zhu

Learning FRAME Models Using CNN Filters

Yang Lu, Song-Chun Zhu, and Ying Nian Wu

Learning Near-Optimal Cost-Sensitive Decision Policies for Object Detection

Tianfu Wu, and Song-Chun Zhu

Concurrent Action Detection with Structural Prediction
Modeling 4D Human-Object Interactions for Event and Object Recognition

Ping Wei, Yibiao Zhao, Nanning Zheng, and Song-Chun Zhu

Discriminatively Trained And-Or Tree Models for Object Detection

Xi Song, Tianfu Wu, Yunde Jia, and Song-Chun Zhu

Weakly Supervised Learning for Attribute Localization in Outdoor Scenes

Shuo Wang, Jungseock Joo, Yizhou Wang, and Song-Chun Zhu

Cost-Sensitive Top-down/Bottom-up Inference for Multiscale Activity Recognition

Mohamed R. Amer, Dan Xie, Mingtian Zhao, Sinisa Todorovic, and Song-Chun Zhu

Animated Templates for Modelling and Detecting Human Actions

Benjamin Yao, Zicheng Liu, Xiaohan Nie, and Song-Chun Zhu

Human Parsing using Stochastic And-Or Grammars and Rich Appearances

Brandon Rothrock, and Song-Chun Zhu