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2020 – today
- 2023
[c11]Lang Peng, Zhirong Chen, Zhangjie Fu, Pengpeng Liang, Erkang Cheng:
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs. WACV 2023: 5924-5932- 2022
- [j7]Bin Cai, Chi Xiong, Zhiyong Sun, Pengpeng Liang, Kaifeng Wang, Yuhao Guo, Chaoshi Niu, Bo Song, Erkang Cheng
, Xiongbiao Luo:
Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation. Biomed. Signal Process. Control. 78: 103867 (2022) - [j6]Shengyou Hua, Zhiyong Sun, Bo Song, Pengpeng Liang, Erkang Cheng:
Pseudo Segmentation for Semantic Information-Aware Stereo Matching. IEEE Signal Process. Lett. 29: 837-841 (2022) - [j5]Zhenbang Li, Yaya Shi, Jin Gao, Shaoru Wang, Bing Li, Pengpeng Liang, Weiming Hu:
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3880-3894 (2022) - [c10]Bin Cai, Yuhao Guo, Pengpeng Liang, Kaifeng Wang, Zhiyong Sun, Chi Xiong, Bo Song, Chaoshi Niu, Erkang Cheng:
Orthographic Pooling: Learned Maximum Intensity Projection for Vertebrae Labelling. EMBC 2022: 2149-2152 - [c9]Naifan Li, Fan Song, Ying Zhang, Pengpeng Liang, Erkang Cheng:
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving. ICRA 2022: 4548-4554 - [i7]Lang Peng, Zhirong Chen, Zhangjie Fu, Pengpeng Liang, Erkang Cheng:
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs. CoRR abs/2203.04050 (2022) - [i6]Naifan Li, Fan Song, Ying Zhang, Pengpeng Liang, Erkang Cheng:
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving. CoRR abs/2205.00376 (2022) - [i5]Yifeng Bai, Zhirong Chen, Zhangjie Fu, Lang Peng, Pengpeng Liang, Erkang Cheng:
CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention. CoRR abs/2209.07989 (2022) - 2021
- [j4]Pengpeng Liang, Haoxuanye Ji, Yifan Wu, Yumei Chai, Liming Wang, Chunyuan Liao, Haibin Ling:
Planar object tracking benchmark in the wild. Neurocomputing 454: 254-267 (2021) - [j3]Pengpeng Liang, Haoxuanye Ji, Erkang Cheng, Yumei Chai, Liming Wang, Haibin Ling:
Learning local descriptors with multi-level feature aggregation and spatial context pyramid. Neurocomputing 461: 99-108 (2021) - [c8]Chengcheng Guo, Minjie Lin, Heyang Guo, Pengpeng Liang, Erkang Cheng:
Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes. IROS 2021: 1146-1153 - [c7]Bin Cai, Erkang Cheng, Pengpeng Liang, Chi Xiong, Zhiyong Sun, Qiang Zhang, Bo Song:
Ghost-Light-3dnet: Efficient Network For Heart Segmentation. ISBI 2021: 1704-1708 - [c6]Long Huo, Bin Cai, Pengpeng Liang, Zhiyong Sun, Chi Xiong, Chaoshi Niu, Bo Song, Erkang Cheng:
Joint Spinal Centerline Extraction and Curvature Estimation with Row-Wise Classification and Curve Graph Network. MICCAI (5) 2021: 377-386 - [i4]Zhenbang Li, Yaya Shi, Jin Gao, Shaoru Wang, Bing Li, Pengpeng Liang, Weiming Hu:
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking. CoRR abs/2105.02480 (2021) - [i3]Chengcheng Guo, Minjie Lin, Heyang Guo, Pengpeng Liang, Erkang Cheng:
Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes. CoRR abs/2107.02557 (2021)
2010 – 2019
- 2018
- [c5]Pengpeng Liang, Yifan Wu, Hu Lu, Liming Wang, Chunyuan Liao, Haibin Ling:
Planar Object Tracking in the Wild: A Benchmark. ICRA 2018: 651-658 - 2017
- [i2]Pengpeng Liang, Yifan Wu, Haibin Ling:
Planar Object Tracking in the Wild: A Benchmark. CoRR abs/1703.07938 (2017) - 2016
- [j2]Pengpeng Liang, Yu Pang, Chunyuan Liao, Xue Mei, Haibin Ling:
Adaptive Objectness for Object Tracking. IEEE Signal Process. Lett. 23(7): 949-953 (2016) - [c4]Ning Chen, Yu Chen, Yang You, Haibin Ling, Pengpeng Liang, Roger Zimmermann:
Dynamic Urban Surveillance Video Stream Processing Using Fog Computing. BigMM 2016: 105-112 - [p1]Erik Blasch, Pengpeng Liang, Xinchu Shi, Peiyi Li, Haibin Ling:
Entity Association Using Context for Wide Area Motion Imagery Target Tracking. Context-Enhanced Information Fusion 2016: 569-595 - 2015
- [j1]Pengpeng Liang, Erik Blasch, Haibin Ling:
Encoding Color Information for Visual Tracking: Algorithms and Benchmark. IEEE Trans. Image Process. 24(12): 5630-5644 (2015) - [i1]Pengpeng Liang, Chunyuan Liao, Xue Mei, Haibin Ling:
Adaptive Objectness for Object Tracking. CoRR abs/1501.00909 (2015) - 2014
- [c3]Pengpeng Liang, Yi Wu, Xue Mei, Jingyi Yu, Erik Blasch, Danil V. Prokhorov, Chunyuan Liao, Haitao Lang, Haibin Ling:
Blur-Resilient Tracking Using Group Sparsity. ACCV (5) 2014: 131-145 - 2013
- [c2]Pengpeng Liang, Haibin Ling, Erik Blasch, Guna Seetharaman, Dan Shen, Genshe Chen:
Vehicle detection in wide area aerial surveillance using Temporal Context. FUSION 2013: 181-188 - 2012
- [c1]Pengpeng Liang, Gregory Teodoro, Haibin Ling, Erik Blasch, Genshe Chen, Li Bai:
Multiple Kernel Learning for vehicle detection in wide area motion imagery. FUSION 2012: 1629-1636
Coauthor Index
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