Search Results for author: Zhengyou Zhang

Found 21 papers, 8 papers with code

DA$^2$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping

no code implementations31 Jul 2022 Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang

In this paper, we introduce DA$^2$, the first large-scale dual-arm dexterity-aware dataset for the generation of optimal bimanual grasping pairs for arbitrary large objects.

Relative Policy-Transition Optimization for Fast Policy Transfer

no code implementations13 Jun 2022 Lei Han, Jiawei Xu, Cheng Zhou, Yizheng Zhang, Zhengyou Zhang

Then, integrating the two algorithms offers the complete algorithm Relative Policy-Transition Optimization (RPTO), in which the policy interacts with the two environments simultaneously, such that data collections from two environments, policy and transition updates are completed in one closed loop to form a principled learning framework for policy transfer.

LEMMA Reinforcement Learning (RL)

Bootstrapped Hindsight Experience replay with Counterintuitive Prioritization

no code implementations29 Sep 2021 Jiawei Xu, Shuxing Li, Chun Yuan, Zhengyou Zhang, Lei Han

In this paper, inspired by Bootstrapped DQN, we use multiple heads in DDPG and take advantage of the diversity and uncertainty among multiple heads to improve the data efficiency with relabeled goals.


Superior Performance with Diversified Strategic Control in FPS Games Using General Reinforcement Learning

no code implementations29 Sep 2021 Shuxing Li, Jiawei Xu, Chun Yuan, Peng Sun, Zhuobin Zheng, Zhengyou Zhang, Lei Han

We provide comprehensive analysis and experiments to elaborate the effect of each component in affecting the agent performance, and demonstrate that the proposed and adopted techniques are important to achieve superior performance in general end-to-end FPS games.

FPS Games General Reinforcement Learning +2

Self-Supervised Continuous Control without Policy Gradient

no code implementations1 Jan 2021 Hao Sun, Ziping Xu, Meng Fang, Yuhang Song, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou

Despite the remarkable progress made by the policy gradient algorithms in reinforcement learning (RL), sub-optimal policies usually result from the local exploration property of the policy gradient update.

Continuous Control Policy Gradient Methods +3

TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game

1 code implementation27 Nov 2020 Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Xipeng Wu, Zhengyou Zhang

We show that with orders of less computation scale, a faithful reimplementation of AlphaStar's methods can not succeed and the proposed techniques are necessary to ensure TStarBot-X's competitive performance.

Imitation Learning Starcraft +1

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

1 code implementation25 Nov 2020 Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang

This poses non-trivial difficulties for researchers or engineers and prevents the application of MARL to a broader range of real-world problems.

Dota 2 Multi-agent Reinforcement Learning +4

High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies

2 code implementations12 Oct 2020 Linchao Bao, Xiangkai Lin, Yajing Chen, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Di Kang, HaoZhi Huang, Xinwei Jiang, Jue Wang, Dong Yu, Zhengyou Zhang

We present a fully automatic system that can produce high-fidelity, photo-realistic 3D digital human heads with a consumer RGB-D selfie camera.

Vocal Bursts Intensity Prediction

Curriculum-guided Hindsight Experience Replay

1 code implementation NeurIPS 2019 Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang

This ``Goal-and-Curiosity-driven Curriculum Learning'' leads to ``Curriculum-guided HER (CHER)'', which adaptively and dynamically controls the exploration-exploitation trade-off during the learning process via hindsight experience selection.

End-to-End Convolutional Semantic Embeddings

no code implementations CVPR 2018 Quanzeng You, Zhengyou Zhang, Jiebo Luo

Usually, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are employed for learning image and sentence representations, respectively.

Incremental Classifier Learning with Generative Adversarial Networks

no code implementations2 Feb 2018 Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Zhengyou Zhang, Yun Fu

To address these problems, we propose (a) a new loss function to combine the cross-entropy loss and distillation loss, (b) a simple way to estimate and remove the unbalance between the old and new classes , and (c) using Generative Adversarial Networks (GANs) to generate historical data and select representative exemplars during generation.

General Classification

Adversarial Ranking for Language Generation

1 code implementation NeurIPS 2017 Kevin Lin, Dianqi Li, Xiaodong He, Zhengyou Zhang, Ming-Ting Sun

Rather than training the discriminator to learn and assign absolute binary predicate for individual data sample, the proposed RankGAN is able to analyze and rank a collection of human-written and machine-written sentences by giving a reference group.

Text Generation

Activity Recognition Using A Combination of Category Components And Local Models for Video Surveillance

no code implementations28 Feb 2015 Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zhengyou Zhang

This paper presents a novel approach for automatic recognition of human activities for video surveillance applications.

Activity Recognition

Group Event Detection with a Varying Number of Group Members for Video Surveillance

no code implementations28 Feb 2015 Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zhengyou Zhang

This paper presents a novel approach for automatic recognition of group activities for video surveillance applications.

Action Detection Activity Detection +1

Deeply-Supervised Nets

1 code implementation18 Sep 2014 Chen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, Zhuowen Tu

Our proposed deeply-supervised nets (DSN) method simultaneously minimizes classification error while making the learning process of hidden layers direct and transparent.

Classification General Classification +1

Wide-Baseline Hair Capture Using Strand-Based Refinement

no code implementations CVPR 2013 Linjie Luo, Cha Zhang, Zhengyou Zhang, Szymon Rusinkiewicz

We propose a novel algorithm to reconstruct the 3D geometry of human hairs in wide-baseline setups using strand-based refinement.

Tensor-Based Human Body Modeling

no code implementations CVPR 2013 Yinpeng Chen, Zicheng Liu, Zhengyou Zhang

In this paper, we present a novel approach to model 3D human body with variations on both human shape and pose, by exploring a tensor decomposition technique.

3D Reconstruction Tensor Decomposition

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