Paper-Conference

[ICRA19] Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment

This paper presents an incremental learning framework for mobile robots localizing the human sound source using a microphone array in a …

Hangxin Liu, Zeyu Zhang, Yixin Zhu, Song-Chun Zhu

[ICRA19] Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment

[AAAI19] MetaStyle: Three-Way Trade-Off Among Speed, Flexibility and Quality in Neural Style Transfer

An unprecedented booming has been witnessed in the research area of artistic style transfer ever since Gatys et.al. introduced the …

Chi Zhang, Yixin Zhu, Song-Chun Zhu

[AAAI19] MetaStyle: Three-Way Trade-Off Among Speed, Flexibility and Quality in Neural Style Transfer

[AAAI19] Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

This paper presents a mirroring approach, inspired by the neuroscience discovery of the mirror neurons, to transfer demonstrated …

Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu

[AAAI19] Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

[NeurIPS18] Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

Holistic 3D indoor scene understanding refers to jointly recovering the i) object bounding boxes, ii) room layout, and iii) camera …

Siyuan Huang, Siyuan Qi, Yinxue Xiao, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

[NeurIPS18] Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

[ECCV18] Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image

We propose a computational framework to jointly parse a single RGB image and reconstruct a holistic 3D configuration composed by a set …

Siyuan Huang, Siyuan Qi, Yixin Zhu, Yinxue Xiao, Yuanlu Xu, Song-Chun Zhu

[ECCV18] Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image

[CogSci18] Human Causal Transfer: Challenges for Deep Reinforcement Learning

Discovery and application of causal knowledge in novel problem contexts is a prime example of human intelligence. As new information is …

Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, Hongjing Lu

[CogSci18] Human Causal Transfer: Challenges for Deep Reinforcement Learning

[CVPR18] Human-centric Indoor Scene Synthesis Using Stochastic Grammar

We present a human-centric method to sample and synthesize 3D room layouts and 2D images thereof, for the purpose of obtaining …

Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu

[CVPR18] Human-centric Indoor Scene Synthesis Using Stochastic Grammar

[ICRA18] Interactive Robot Knowledge Patching using Augmented Reality

We present a novel Augmented Reality (AR) approach, through Microsoft HoloLens, to address the challenging problems of diagnosing, …

Hangxin Liu, Yaofang Zhang, Wenwen Si, Xu Xie, Yixin Zhu, Song-Chun Zhu

[ICRA18] Interactive Robot Knowledge Patching using Augmented Reality

[ICRA18] Unsupervised Learning of Hierarchical Models for Hand-Object Interactions

Contact forces of the hand are visually unobservable, but play a crucial role in understanding hand-object interactions. In this paper, …

Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu

[ICRA18] Unsupervised Learning of Hierarchical Models for Hand-Object Interactions

[AAAI18] Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning about Containment Relations and Human Actions

This paper studies a challenging problem of tracking severely occluded objects in long video sequences. The proposed method reasons …

Wei Liang, Yixin Zhu, Song-Chun Zhu