Pengguang Chen

According to our database, Pengguang Chen authored at least 28 papers between 2016 and 2024.

Collaborative distances:

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

2024

MOODv2: Masked Image Modeling for Out-of-Distribution Detection.

Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic Segmentation.

Jingyao Li, Pengguang Chen, Shengju Qian, Shu Liu, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

BAL: Balancing Diversity and Novelty for Active Learning.

Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders.

Baijiong Lin, Weisen Jiang, Pengguang Chen, Shu Liu, Ying-Cong Chen

CoRR, 2024

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models.

Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

CoRR, 2024

RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models.

Jingyao Li, Pengguang Chen, Sitong Wu, Chuanyang Zheng, Hong Xu, Jiaya Jia

CoRR, 2024

VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning.

Jingyao Li, Pengguang Chen, Xuan Ju, Hong Xu, Jiaya Jia

CoRR, 2024

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics.

Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Yingcong Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders.

Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Adaptive Perspective Distillation for Semantic Segmentation.

Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs.

Zhongshen Zeng, Pengguang Chen, Haiyun Jiang, Jiaya Jia

CoRR, 2023

MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks.

Jingyao Li, Pengguang Chen, Jiaya Jia

CoRR, 2023

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics.

Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Shu Liu, Yingcong Chen

CoRR, 2023

A Scale-Invariant Task Balancing Approach for Multi-Task Learning.

Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu

CoRR, 2023

TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation.

Jingyao Li, Pengguang Chen, Shengju Qian, Jiaya Jia

CoRR, 2023

Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need.

Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment.

Yixin Chen, Zhuotao Tian, Pengguang Chen, Shu Liu, Jiaya Jia

CoRR, 2022

2021

Adversarial Attacks on ML Defense Models Competition.

Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen

CoRR, 2021

Exploring and Improving Mobile Level Vision Transformers.

Pengguang Chen, Yixin Chen, Shu Liu, Ming-Chang Yang, Jiaya Jia

CoRR, 2021

Deep Structured Instance Graph for Distilling Object Detectors.

Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Distilling Knowledge via Knowledge Review.

Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia

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

Jigsaw Clustering for Unsupervised Visual Representation Learning.

Pengguang Chen, Shu Liu, Jiaya Jia

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

2020

GridMask Data Augmentation.

Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia

CoRR, 2020

2019

Fast and Practical Neural Architecture Search.

Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

A general framework for big data knowledge discovery and integration.

Xinyang Wang, Deyu Qi, Weiwei Lin, Mincong Yu, Zhishuo Zheng, Naqin Zhou, Pengguang Chen

Concurr. Comput. Pract. Exp., 2018

2017

Ship Track Regression Based on Support Vector Machine.

Bo Ban, Junjie Yang, Pengguang Chen, Jianbin Xiong, Qinruo Wang

IEEE Access, 2017

2016

Visual tracking via adaptive multi-task feature learning with calibration and identification.

Pengguang Chen, Xingming Zhang, Aihua Mao, Jianbin Xiong

Signal Process. Image Commun., 2016

Combination of spatio-temporal and transform domain for sparse occlusion estimation by optical flow.

Pengguang Chen, Xingming Zhang, Pong C. Yuen, Aihua Mao

Neurocomputing, 2016