no code implementations • 7 Jun 2022 • Yidong Du, Wenshuo Wang, Zhigang Wang, Hua Yang, Haitao Wang, Yinghao Cai, Ming Chen
The booming of electric vehicles demands efficient battery disassembly for recycling to be environment-friendly.
no code implementations • ICLR 2022 • Jiayi Li, Tao Lu, Xiaoge Cao, Yinghao Cai, Shuo Wang
Our approach relies only on human videos and does not require robot demonstration, which facilitates data collection and is more in line with human imitation behavior.
no code implementations • 16 Nov 2020 • Boyao Li, Tao Lu, Jiayi Li, Ning Lu, Yinghao Cai, Shuo Wang
Exploration in environments with sparse feedback remains a challenging research problem in reinforcement learning (RL).
no code implementations • 29 Nov 2019 • Jiaqi Zhang, Yinghao Cai, Zhaoyang Wang, Beilun Wang
Recently, tensor data (or multidimensional array) have been generated in many modern applications, such as functional magnetic resonance imaging (fMRI) in neuroscience and videos in video analysis.
3 code implementations • 28 Jun 2019 • Xiaocan Li, Shuo Wang, Yinghao Cai
We compared the regular Singular Value Decomposition (SVD), truncated SVD, Krylov method and Randomized PCA, in terms of time and space complexity.
no code implementations • 14 Apr 2019 • Zhe Xin, Yinghao Cai, Tao Lu, Xiaoxia Xing, Shaojun Cai, Jixiang Zhang, Yiping Yang, Yanqing Wang
The fundamental problem of visual place recognition is generating robust image representations which are not only insensitive to environmental changes but also distinguishable to different places.
no code implementations • 19 Mar 2019 • Naijun Liu, Tao Lu, Yinghao Cai, Boyao Li, Shuo Wang
Combining hindsight idea with the generative adversarial imitation learning (GAIL) framework, we realize implementing imitation learning successfully in cases of expert demonstration data are not available.
no code implementations • 29 Jun 2015 • Shachaf Melman, Yael Moses, Gérard Medioni, Yinghao Cai
A central component of a PTZ tracking system is a scheduling algorithm that determines which target to zoom in on.