Search Results for author: Yinghao Cai

Found 8 papers, 1 papers with code

Meta-Imitation Learning by Watching Video Demonstrations

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.

Imitation Learning

ACDER: Augmented Curiosity-Driven Experience Replay

no code implementations16 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).

Reinforcement Learning (RL)

Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal Method

no code implementations29 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.

Action Recognition regression +1

Tutorial: Complexity analysis of Singular Value Decomposition and its variants

3 code implementations28 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.

Localizing Discriminative Visual Landmarks for Place Recognition

no code implementations14 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.

Visual Place Recognition

Hindsight Generative Adversarial Imitation Learning

no code implementations19 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.

Imitation Learning Reinforcement Learning (RL)

The Multi-Strand Graph for a PTZ Tracker

no code implementations29 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.

Scheduling

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