Pengpeng Liang   梁鹏鹏 School of Computer and Artificial Intelligence Zhengzhou University Email: liangpp AT zzu.edu.cn

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About Me

I received my B.S. and M.S. from Zhengzhou University, China, in 2008 and 2011, respectively, and my Ph.D. from Temple University in 2016, all in Computer Science. I joined Zhengzhou University in 2017, where I am an Associate Professor; from 2016 to 2017, I worked at Amazon. My research interests include Computer Vision and Deep Learning.

Publications

• Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors
  Haoxuanye Ji*, Pengpeng Liang*^†, Erkang Cheng (*Equal contribution, ^†Project lead)
  IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
  [PDF][Code]
  

• Multi-Correlation Siamese Transformer Network With Dense Connection for 3D Single Object Tracking
  Shihao Feng*, Pengpeng Liang*^, Jin Gao, Erkang Cheng (*Equal contribution, ^Corresponding author)
  IEEE Robotics and Automation Letters, 8(12): 8066-8073, 2023
  [PDF][Code]
  

• CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention
  Yifeng Bai, Zhirong Chen, Zhangjie Fu, Lang Peng, Pengpeng Liang, Erkang Cheng
  IEEE International Conference on Robotics and Automation (ICRA), 2023
  

• CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
  Hengxu Zhang, Pengpeng Liang, Zhiyong Sun, Bo Song, Erkang Cheng
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
  

• Pseudo Segmentation for Semantic Information-Aware Stereo Matching
  Shengyou Hua, Zhiyong Sun, Bo Song, Pengpeng Liang, Erkang Cheng
  IEEE Signal Processing Letters, 29: 837-841, 2022
  

• Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving
  Naifan Li, Fan Song, Ying Zhang, Pengpeng Liang, Erkang Cheng
  IEEE International Conference on Robotics and Automation (ICRA), 2022
  

• A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking
  Zhenbang Li, Yaya Shi, Jin Gao, Shaoru Wang, Bing Li, Pengpeng Liang, Weiming Hu
  IEEE Transactions on Circuits and Systems for Video Technology, 32(6): 3880-3894, 2022
  

• Planar object tracking benchmark in the wild
  Pengpeng Liang, Haoxuanye Ji, Yifan Wu, Yumei Chai, Liming Wang, Chunyuan Liao, Haibin Ling
  Neurocomputing, 454: 254-267, 2021 (A preliminary version appeared in ICRA 2008)
  [Benchmark]

• Learning local descriptors with multi-level feature aggregation and spatial context pyramid
  Pengpeng Liang, Haoxuanye Ji, Erkang Cheng, Yumei Chai, Liming Wang, Haibin Ling
  Neurocomputing, 461: 99-108, 2021
  

• Joint Spinal Centerline Extraction and Curvature Estimation with Row-Wise Classification and Curve Graph Network
  Long Huo, Bin Cai, Pengpeng Liang, Zhiyong Sun, Chi Xiong, Chaoshi Niu, Bo Song, Erkang Cheng
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
  

• Planar Object Tracking in the Wild: A Benchmark
  Pengpeng Liang, Yifan Wu, Hu Lu, Liming Wang, Chunyuan Liao, Haibin Ling
  IEEE International Conference on Robotics and Automation (ICRA), 2018
  [PDF][Benchmark]

• Adaptive Objectness for Object Tracking
  Pengpeng Liang, Yu Pang, Chunyuan Liao, Xue Mei, Haibin Ling
  IEEE Signal Processing Letters, 23(7): 949-953, 2016
  

• Encoding Color Information for Visual Tracking: Algorithms and Benchmark
  Pengpeng Liang, Erik Blasch, Haibin Ling
  IEEE Trans. on Image Processing (T-IP), 24(12):5630--5644, 2015.
  [PDF][Benchmark]

• Blur-Resilient Tracking using Group Sparsity
  Pengpeng Liang, Yi Wu, Xue Mei, Jingyi Yu, Erik Blasch, Danil V. Prokhorov, Chunyuan Liao, Haitao Lang, Haibin Ling
  Asian Conference on Computer Vision (ACCV), Singapore, 2014.
  

• Vehicle Detection in Wide Area Aerial Surveillance using Temporal Context
  Pengpeng Liang, Haibin Ling, Erik Blasch, Guna Seetharaman, Dan Shen, Genshe Chen
  International Conference on Information Fusion (FUSION), Istanbul, 2013.
  

• Multiple Kernel Learning for Vehicle Detection in Wide Area Motion Imagery
  Pengpeng Liang, Gregory Teodoro, Haibin Ling, Erik Blasch, Genshe Chen, Li Bai
  International Conference on Information Fusion (FUSION), Singapore, 2012.
  

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Last updated: March 2024