Peng Sun

According to our database, Peng Sun authored at least 31 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition.

Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, Lei Han

IEEE Trans. Games, March, 2024

2022

Learnable Depth-Sensitive Attention for Deep RGB-D Saliency Detection with Multi-modal Fusion Architecture Search.

Peng Sun, Wenhu Zhang, Songyuan Li, Yilin Guo, Congli Song, Xi Li

Int. J. Comput. Vis., 2022

2021

AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking.

Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Anytime Recognition with Routing Convolutional Networks.

Zequn Jie, Peng Sun, Xi Li, Jiashi Feng, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation.

Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li

Int. J. Comput. Vis., 2021

Towards Distraction-Robust Active Visual Tracking.

Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Deep RGB-D Saliency Detection With Depth-Sensitive Attention and Automatic Multi-Modal Fusion.

Peng Sun, Wenhu Zhang, Huanyu Wang, Songyuan Li, Xi Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning.

Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2020

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

Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Zhengyou Zhang

CoRR, 2020

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

Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang

CoRR, 2020

Graph-Guided Architecture Search for Real-Time Semantic Segmentation.

Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Arena: a toolkit for Multi-Agent Reinforcement Learning.

Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang

CoRR, 2019

OVSNet : Towards One-Pass Real-Time Video Object Segmentation.

Peng Sun, Peiwen Lin, Guangliang Cheng, Jianping Shi, Jiawan Zhang, Xi Li

CoRR, 2019

Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI.

Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking.

Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang

Proceedings of the 7th International Conference on Learning Representations, 2019

Generative adversarial exploration for reinforcement learning.

Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

2018

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space.

Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu

CoRR, 2018

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game.

Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang

CoRR, 2018

Exponentially Weighted Imitation Learning for Batched Historical Data.

Qing Wang, Jiechao Xiong, Lei Han, Peng Sun, Han Liu, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method.

Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

End-to-end Active Object Tracking via Reinforcement Learning.

Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang

Proceedings of the 35th International Conference on Machine Learning, 2018

Tagging Like Humans: Diverse and Distinct Image Annotation.

Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations.

Guanglei Xiong, Peng Sun, Haoyin Zhou, Seongmin Ha, Briain o Hartaigh, Quynh A. Truong, James K. Min

IEEE Trans. Vis. Comput. Graph., 2017

End-to-end Active Object Tracking via Reinforcement Learning.

Wenhan Luo, Peng Sun, Yadong Mu, Wei Liu

CoRR, 2017

2016

Watertight modeling and segmentation of bifurcated Coronary arteries for blood flow simulation using CT imaging.

Haoyin Zhou, Peng Sun, Seongmin Ha, Devon Lundine, Guanglei Xiong

Comput. Medical Imaging Graph., 2016

2014

An improved multiclass LogitBoost using adaptive-one-vs-one.

Peng Sun, Mark D. Reid, Jie Zhou

Mach. Learn., 2014

A Convergence Rate Analysis for LogitBoost, MART and Their Variant.

Peng Sun, Tong Zhang, Jie Zhou

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner.

Peng Sun, Jie Zhou

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem.

Peng Sun, Mark D. Reid, Jie Zhou

Proceedings of the 29th International Conference on Machine Learning, 2012

The Convexity and Design of Composite Multiclass Losses.

Mark D. Reid, Robert C. Williamson, Peng Sun

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem

Peng Sun, Jie Zhou

CoRR, 2011