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ORCIDMing Liu 0001
劉明
Person information
- unicode name: 劉明
- affiliation: Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Robotics and Multi-perception Lab, Hong Kong
- affiliation: City University of Hong Kong, Robotics and Multi-perception Lab (RAM-LAB), Hong Kong
- affiliation (former): ETH Zurich, Autonomous Systems Laboratory, Switzerland
- affiliation (former): Tongji University, CEIE, China
Other persons with the same name
- Ming Liu — disambiguation page
- Ming Liu 0002
![[0000-0002-1114-1728]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1114-1728")
— University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China (and 1 more) - Ming Liu 0003 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Ming Liu 0004 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Ming Liu 0005 — North Carolina State University, Neuromuscular Rehabilitation Engineering Laboratory, Raleigh, NC, USA (and 2 more)
- Ming Liu 0006 — University of Florida, Gainesville, FL, USA
- Ming Liu 0007 — University of Technology, Connected Intelligence Centre, Sydney, Australia (and 2 more)
- Ming Liu 0008 — Tongji University, School of Economics and Management, Shanghai, China
- Ming Liu 0009 — University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, IL, USA (and 2 more)
- Ming Liu 0010 — Beijing Jiaotong University, Beijing Key Lab of Transportation Data Analysis and Mining, China (and 1 more)
- Ming Liu 0011 — Royal Institute of Technology, Stockholm, Sweden (and 1 more)
- Ming Liu 0012 — Shaanxi Normal University, School of Computer Science, Xi'an, China (and 2 more)
- Ming Liu 0013 — Princeton University, Department of Electrical Engineering, NJ, USA (and 1 more)
- Ming Liu 0014 — Harbin Institute of Technology, School of Astronautics, China (and 1 more)
- Ming Liu 0015 — Chinese Academy of Sciences, Institute of Semiconductors, State Key Laboratory on Integrated Optoelectronics, Beijing, China (and 2 more)
- Ming Liu 0017 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
- Ming Liu 0018 — Harbin Institute of Technolog, School of Computer Science and Technology, China
- Ming Liu 0019 — Hohai University, College of Computer and Information, Laboratory of Array and Information Processing, Nanjing, China
- Ming Liu 0020 — Beihang University, School of Biological Science and Medical Engineering, MOE Key Laboratory for Biomechanics and Mechanobiology, Beijing, China
- Ming Liu 0021 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Ming Liu 0022 — Chinese Academy Sciences, Institute of Microelectronics, Beijing, China
- Ming Liu 0023 — Hong Kong Polytechnic University, Department of Electrical Engineering, Hong Kong
- Ming Liu 0024 — Changchun University of Technology, Department of Applied Mathematics, Changchun, China
- Ming Liu 0025 — Shandong University of Science and Technology, Department of Electrical Engineering and Information Technology, Jinan, China
- Ming Liu 0026 — Xi'an Jiaotong University, State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an, China
- Ming Liu 0027 — University of Wisconsin at Madison, WI, USA (and 1 more)
- Ming Liu 0028 — Monash University, NCHA, Melbourne, Australia (and 2 more)
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2020 – today
- 2023
[j104]Bowen Yang, Qingwen Zhang, Ruoyu Geng, Lujia Wang, Ming Liu:
Real-Time Neural Dense Elevation Mapping for Urban Terrain With Uncertainty Estimations. IEEE Robotics Autom. Lett. 8(2): 696-703 (2023)- [j103]Zhenhua Xu, Yuxuan Liu, Yuxiang Sun, Ming Liu, Lujia Wang:
RNGDet++: Road Network Graph Detection by Transformer With Instance Segmentation and Multi-Scale Features Enhancement. IEEE Robotics Autom. Lett. 8(5): 2991-2998 (2023) - [j102]Zhijian He, Xueli Fan, Yun Peng, Zhaoyan Shen, Jianhao Jiao, Ming Liu:
EmPointMovSeg: Sparse Tensor-Based Moving-Object Segmentation in 3-D LiDAR Point Clouds for Autonomous Driving-Embedded System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 41-53 (2023) - [j101]Jin Wu, Miaomiao Wang, Hassen Fourati, Hui Li, Yilong Zhu, Chengxi Zhang, Yi Jiang, Xiangcheng Hu, Ming Liu:
Generalized n-Dimensional Rigid Registration: Theory and Applications. IEEE Trans. Cybern. 53(2): 927-940 (2023) - [j100]Qinyang Zeng, Chengju Liu, Ming Liu, Qijun Chen:
Contrastive 3D Human Skeleton Action Representation Learning via CrossMoCo With Spatiotemporal Occlusion Mask Data Augmentation. IEEE Trans. Multim. 25: 1564-1574 (2023) - [i120]Yi Feng, Bohuan Xue, Ming Liu, Qijun Chen, Rui Fan:
D2NT: A High-Performing Depth-to-Normal Translator. CoRR abs/2304.12031 (2023) - [i119]Xiangcheng Hu, Jin Wu, Jianhao Jiao, Ruoyu Geng, Ming Liu:
PALoc: Robust Prior-assisted Trajectory Generation for Benchmarking. CoRR abs/2305.13147 (2023) - 2022
- [j99]Ronghao Dang, Chengju Liu, Ming Liu, Qijun Chen:
Channel attention and multi-scale graph neural networks for skeleton-based action recognition. AI Commun. 35(3): 187-205 (2022) - [j98]M. Usman Maqbool Bhutta, Yuxiang Sun, Darwin Lau, Ming Liu:
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition. IEEE Robotics Autom. Lett. 7(2): 1824-1831 (2022) - [j97]Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Ming Liu, Lujia Wang:
csBoundary: City-Scale Road-Boundary Detection in Aerial Images for High-Definition Maps. IEEE Robotics Autom. Lett. 7(2): 5063-5070 (2022) - [j96]Sukai Wang, Peide Cai, Lujia Wang, Ming Liu:
Correcton to "DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-temporal World". IEEE Robotics Autom. Lett. 7(4): 10737 (2022) - [j95]Yingbing Chen, Ren Xin, Jie Cheng, Qingwen Zhang, Xiaodong Mei, Ming Liu, Lujia Wang:
Efficient Speed Planning for Autonomous Driving in Dynamic Environment With Interaction Point Model. IEEE Robotics Autom. Lett. 7(4): 11839-11846 (2022) - [j94]Chenpeng Yao, Chengju Liu, Li Xia, Ming Liu, Qijun Chen:
Humanoid adaptive locomotion control through a bioinspired CPG-based controller. Robotica 40(3): 762-779 (2022) - [j93]Xuebin Sun, Yuxiang Sun, Weixun Zuo, Shing Shin Cheng, Ming Liu:
A Novel Coding Scheme for Large-Scale Point Cloud Sequences Based on Clustering and Registration. IEEE Trans Autom. Sci. Eng. 19(3): 2384-2396 (2022) - [j92]Hongbo Gao, Ming Liu, Fei Chen, Xiaoxiang Na, Ding Zhao, Jingtao Wang, Linghe Kong, Keqiang Li, Chun-Yi Su:
Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications. IEEE Trans Autom. Sci. Eng. 19(4): 2652-2655 (2022) - [j91]Qing Liang, Yuxiang Sun, Lujia Wang, Ming Liu:
A Novel Inertial-Aided Visible Light Positioning System Using Modulated LEDs and Unmodulated Lights as Landmarks. IEEE Trans Autom. Sci. Eng. 19(4): 3049-3067 (2022) - [j90]Zhe Liu, Qiming Liu, Ling Tang, Kefan Jin, Hongye Wang, Ming Liu, Hesheng Wang:
Visuomotor Reinforcement Learning for Multirobot Cooperative Navigation. IEEE Trans Autom. Sci. Eng. 19(4): 3234-3245 (2022) - [j89]Chengxi Zhang, Choon Ki Ahn, Jin Wu, Wei He, Yi Jiang, Ming Liu:
Robustification of Learning Observers to Uncertainty Identification via Time-Varying Learning Intensity. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1292-1296 (2022) - [j88]Jin Wu, Ming Liu, Yulong Huang, Chi Jin, Yuanxin Wu, Changbin Yu:
SE(n)++: An Efficient Solution to Multiple Pose Estimation Problems. IEEE Trans. Cybern. 52(5): 3829-3840 (2022) - [j87]M. Usman Maqbool Bhutta, Manohar Kuse, Rui Fan, Yanan Liu, Ming Liu:
Loop-Box: Multiagent Direct SLAM Triggered by Single Loop Closure for Large-Scale Mapping. IEEE Trans. Cybern. 52(6): 5088-5097 (2022) - [j86]Rui Fan, Umar Özgünalp, Yuan Wang, Ming Liu, Ioannis Pitas:
Rethinking Road Surface 3-D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation. IEEE Trans. Cybern. 52(7): 5799-5808 (2022) - [j85]Hengli Wang, Rui Fan, Yuxiang Sun, Ming Liu:
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms. IEEE Trans. Cybern. 52(10): 10750-10760 (2022) - [j84]Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Xinyu Wu, Ming Liu, Lujia Wang:
RNGDet: Road Network Graph Detection by Transformer in Aerial Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j83]Zhen Feng, Yanning Guo, Qing Liang, M. Usman Maqbool Bhutta, Hengli Wang, Ming Liu, Yuxiang Sun:
MAFNet: Segmentation of Road Potholes With Multimodal Attention Fusion Network for Autonomous Vehicles. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j82]Qing Liang, Yuxiang Sun, Chengju Liu, Ming Liu, Lujia Wang:
LedMapper: Toward Efficient and Accurate LED Mapping for Visible Light Positioning at Scale. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j81]Xuebin Sun, Sukai Wang, Ming Liu:
A Novel Coding Architecture for Multi-Line LiDAR Point Clouds Based on Clustering and Convolutional LSTM Network. IEEE Trans. Intell. Transp. Syst. 23(3): 2190-2201 (2022) - [j80]Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu:
DQ-GAT: Towards Safe and Efficient Autonomous Driving With Deep Q-Learning and Graph Attention Networks. IEEE Trans. Intell. Transp. Syst. 23(11): 21102-21112 (2022) - [j79]Jianhao Jiao, Haoyang Ye, Yilong Zhu, Ming Liu:
Robust Odometry and Mapping for Multi-LiDAR Systems With Online Extrinsic Calibration. IEEE Trans. Robotics 38(1): 351-371 (2022) - [j78]Jin Wu, Yu Zheng, Zhi Gao, Yi Jiang, Xiangcheng Hu, Yilong Zhu, Jianhao Jiao, Ming Liu:
Quadratic Pose Estimation Problems: Globally Optimal Solutions, Solvability/Observability Analysis, and Uncertainty Description. IEEE Trans. Robotics 38(5): 3314-3335 (2022) - [j77]Qingqing Yan, Shu Li, Chengju Liu, Ming Liu, Qijun Chen:
RoboSeg: Real-Time Semantic Segmentation on Computationally Constrained Robots. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1567-1577 (2022) - [c143]Peng Yun, Ming Liu:
Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection. CoRL 2022: 1125-1135 - [c142]Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Mingqian Tang, Ming Liu, Michael Yu Wang:
Open-world Semantic Segmentation for LIDAR Point Clouds. ECCV (38) 2022: 318-334 - [c141]Sukai Wang, Ming Liu:
Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving. ECCV (22) 2022: 323-340 - [c140]Hengli Wang, Rui Fan, Peide Cai, Ming Liu, Lujia Wang:
UnDAF: A General Unsupervised Domain Adaptation Framework for Disparity or Optical Flow Estimation. ICRA 2022: 1-7 - [c139]Shu Li, Qingqing Yan, Chengju Liu, Ming Liu, Qijun Chen:
HoloSeg: An Efficient Holographic Segmentation Network for Real-time Scene Parsing. ICRA 2022: 2395-2402 - [c138]Yuxuan Liu, Zhenhua Xu, Ming Liu:
Star-Convolution for Image-Based 3D Object Detection. ICRA 2022: 5018-5024 - [c137]Jie Cheng, Yingbing Chen, Qingwen Zhang, Lu Gan, Chengju Liu, Ming Liu:
Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement. ICRA 2022: 8999-9005 - [c136]Jianhao Jiao, Hexiang Wei, Tianshuai Hu, Xiangcheng Hu, Yilong Zhu, Zhijian He, Jin Wu, Jingwen Yu, Xupeng Xie, Huaiyang Huang, Ruoyu Geng, Lujia Wang, Ming Liu:
FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms. IROS 2022: 3851-3856 - [c135]Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu:
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. IROS 2022: 13400-13405 - [c134]Feiyi Chen, Shuyang Zhang, Xupeng Xie, Qingwen Zhang, Yutong Wang, Jianhao Jiao, Ming Liu:
Automatic Multi-camera Multi-LiDAR Extrinsic Calibration using Geometric Corners. ITSC 2022: 4234-4240 - [i118]M. Usman Maqbool Bhutta, Yuxiang Sun, Darwin Lau, Ming Liu:
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition. CoRR abs/2201.03212 (2022) - [i117]Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Ming Liu, Lujia Wang:
RNGDet: Road Network Graph Detection by Transformer in Aerial Images. CoRR abs/2202.07824 (2022) - [i116]Jie Cheng, Yingbing Chen, Qingwen Zhang, Lu Gan, Ming Liu:
Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement. CoRR abs/2205.11853 (2022) - [i115]Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Michael Yu Wang, Ming Liu, Mingqian Tang:
Open-world Semantic Segmentation for LIDAR Point Clouds. CoRR abs/2207.01452 (2022) - [i114]Bowen Yang, Qingwen Zhang, Ruoyu Geng, Lujia Wang, Ming Liu:
Real-time Neural Dense Elevation Mapping for Urban Terrain with Uncertainty Estimations. CoRR abs/2208.03467 (2022) - [i113]Jianhao Jiao, Hexiang Wei, Tianshuai Hu, Xiangcheng Hu, Yilong Zhu, Zhijian He, Jin Wu, Jingwen Yu, Xupeng Xie, Huaiyang Huang, Ruoyu Geng, Lujia Wang, Ming Liu:
FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms. CoRR abs/2208.11865 (2022) - [i112]Zhenhua Xu, Yuxuan Liu, Yuxiang Sun, Ming Liu, Lujia Wang:
CenterLineDet: Road Lane CenterLine Graph Detection With Vehicle-Mounted Sensors by Transformer for High-definition Map Creation. CoRR abs/2209.07734 (2022) - [i111]Hongji Liu, Linwei Zheng, Xiaoyang Yan, Zhenhua Xu, Bohuan Xue, Yang Yu, Ming Liu:
V2HDM-Mono: A Framework of Building a Marking-Level HD Map with One or More Monocular Cameras. CoRR abs/2209.07737 (2022) - [i110]Yingbing Chen, Ren Xin, Jie Cheng, Qingwen Zhang, Xiaodong Mei, Ming Liu, Lujia Wang:
Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model. CoRR abs/2209.09013 (2022) - [i109]Zhenhua Xu, Yuxuan Liu, Yuxiang Sun, Ming Liu, Lujia Wang:
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement. CoRR abs/2209.10150 (2022) - [i108]Jerred Chen, Xiangcheng Hu, Shicong Ma, Jianhao Jiao, Ming Liu, Frank Dellaert:
FAST-LIO, Then Bayesian ICP, Then GTSFM. CoRR abs/2210.00146 (2022) - 2021
- [j76]Chenpeng Yao, Chengju Liu, Ming Liu, Qijun Chen:
Navigation in Multi-Agent System With Side Preference Path Optimizer. IEEE Access 9: 113944-113953 (2021) - [j75]Huaiyang Huang, Haoyang Ye, Yuxiang Sun, Lujia Wang, Ming Liu:
Incorporating learnt local and global embeddings into monocular visual SLAM. Auton. Robots 45(6): 789-803 (2021) - [j74]Xingyu He, Tingting Liang, Zhao Zhang, Guisong Yang, Linghe Kong, Ming Liu:
Analysis of communication reliability in NarrowBand-IoT oriented wireless sensor networks. IET Commun. 15(1): 33-42 (2021) - [j73]Guisong Yang, Yanglin Zhang, Buye Wang, Xingyu He, Jiangtao Wang, Ming Liu:
Task allocation through fuzzy logic based participant density analysis in mobile crowd sensing. Peer-to-Peer Netw. Appl. 14(2): 763-780 (2021) - [j72]Yuxiang Sun, Weixun Zuo, Huaiyang Huang, Peide Cai, Ming Liu:
PointMoSeg: Sparse Tensor-Based End-to-End Moving-Obstacle Segmentation in 3-D Lidar Point Clouds for Autonomous Driving. IEEE Robotics Autom. Lett. 6(1): 510-517 (2021) - [j71]Yuxuan Liu, Yixuan Yuan, Ming Liu:
Ground-Aware Monocular 3D Object Detection for Autonomous Driving. IEEE Robotics Autom. Lett. 6(2): 919-926 (2021) - [j70]Zhenhua Xu, Yuxiang Sun, Ming Liu:
iCurb: Imitation Learning-Based Detection of Road Curbs Using Aerial Images for Autonomous Driving. IEEE Robotics Autom. Lett. 6(2): 1097-1104 (2021) - [j69]Peng Yun, Yuxuan Liu, Ming Liu:
In Defense of Knowledge Distillation for Task Incremental Learning and Its Application in 3D Object Detection. IEEE Robotics Autom. Lett. 6(2): 2012-2019 (2021) - [j68]Sukai Wang, Peide Cai, Lujia Wang, Ming Liu:
DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-Temporal World. IEEE Robotics Autom. Lett. 6(2): 3397-3404 (2021) - [j67]Hengli Wang, Rui Fan, Peide Cai, Ming Liu:
PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching. IEEE Robotics Autom. Lett. 6(3): 4353-4360 (2021) - [j66]Rui Fan, Hengli Wang, Bohuan Xue, Huaiyang Huang, Yuan Wang, Ming Liu, Ioannis Pitas:
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator. IEEE Robotics Autom. Lett. 6(3): 5405-5412 (2021) - [j65]Zhenhua Xu, Yuxiang Sun, Ming Liu:
Topo-Boundary: A Benchmark Dataset on Topological Road-Boundary Detection Using Aerial Images for Autonomous Driving. IEEE Robotics Autom. Lett. 6(4): 7248-7255 (2021) - [j64]Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu:
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning. IEEE Robotics Autom. Lett. 6(4): 7262-7269 (2021) - [j63]Huaiyang Huang, Yuxiang Sun, Jin Wu, Jianhao Jiao, Xiangcheng Hu, Linwei Zheng, Lujia Wang, Ming Liu:
On Bundle Adjustment for Multiview Point Cloud Registration. IEEE Robotics Autom. Lett. 6(4): 8269-8276 (2021) - [j62]Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu:
The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation. IEEE Robotics Autom. Mag. 28(1): 48-58 (2021) - [j61]Yuxiang Sun, Weixun Zuo, Peng Yun, Hengli Wang, Ming Liu:
FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion. IEEE Trans Autom. Sci. Eng. 18(3): 1000-1011 (2021) - [j60]Zhe Liu, Hesheng Wang, Huanshu Wei, Ming Liu, Yun-Hui Liu:
Prediction, Planning, and Coordination of Thousand-Warehousing-Robot Networks With Motion and Communication Uncertainties. IEEE Trans Autom. Sci. Eng. 18(4): 1705-1717 (2021) - [j59]Qi Chen, Yuxiang Sun, Min Zhao, Ming Liu:
Consensus-Based Cooperative Formation Guidance Strategy for Multiparafoil Airdrop Systems. IEEE Trans Autom. Sci. Eng. 18(4): 2175-2184 (2021) - [j58]Jin Wu, Yi Jiang, Chong Li, Ran Sun, Chengxi Zhang, Yang Yu, Yilong Zhu, Ming Liu:
Circuit Synthesis of 3-D Rotation Orthonormalization. IEEE Trans. Circuits Syst. II Express Briefs 68(4): 1502-1506 (2021) - [j57]Guisong Yang, Yanting Li, Xingyu He, Yan Song, Jiangtao Wang, Ming Liu:
Profile-Free and Real-Time Task Recommendation in Mobile Crowdsensing. IEEE Trans. Comput. Soc. Syst. 8(6): 1311-1322 (2021) - [j56]Rui Fan, Hengli Wang, Yuan Wang, Ming Liu, Ioannis Pitas:
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms. IEEE Trans. Image Process. 30: 8144-8154 (2021) - [j55]Peide Cai, Yuxiang Sun, Hengli Wang, Ming Liu:
VTGNet: A Vision-Based Trajectory Generation Network for Autonomous Vehicles in Urban Environments. IEEE Trans. Intell. Veh. 6(3): 419-429 (2021) - [j54]Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi:
Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2066-2074 (2021) - [j53]Chengju Liu, Tong Zhang, Changzhu Zhang, Ming Liu, Qijun Chen:
Foot Placement Compensator Design for Humanoid Walking Based on Discrete Control Lyapunov Function. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2332-2341 (2021) - [c133]Peng Yun, Jun Cen, Ming Liu:
Conflicts between Likelihood and Knowledge Distillation in Task Incremental Learning for 3D Object Detection. 3DV 2021: 575-585 - [c132]Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu:
Open-set 3D Object Detection. 3DV 2021: 869-878 - [c131]Jin Wu, Zebo Zhou, Hassen Fourati, Ming Liu:
Lasso Wahba's Problem and Its Analytical Solution for Spacecraft Attitude Determination. CASE 2021: 1040-1046 - [c130]Jianhao Jiao, Huaiyang Huang, Liang Li, Zhijian He, Yilong Zhu, Ming Liu:
Comparing Representations in Tracking for Event Camera-Based SLAM. CVPR Workshops 2021: 1369-1376 - [c129]Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu:
End-to-End Interactive Prediction and Planning With Optical Flow Distillation for Autonomous Driving. CVPR Workshops 2021: 2229-2238 - [c128]Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu:
Deep Metric Learning for Open World Semantic Segmentation. ICCV 2021: 15313-15322 - [c127]Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838 - [c126]Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo:
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW 2021: 2839-2846 - [c125]Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854 - [c124]Hengli Wang, Rui Fan, Ming Liu:
SCV-Stereo: Learning Stereo Matching From a Sparse Cost Volume. ICIP 2021: 3203-3207 - [c123]Hengli Wang, Rui Fan, Ming Liu:
Co-Teaching: an Ark to Unsupervised Stereo Matching. ICIP 2021: 3328-3332 - [c122]Jianhao Jiao, Yilong Zhu, Haoyang Ye, Huaiyang Huang, Peng Yun, Lingxin Jiang, Lujia Wang, Ming Liu:
Greedy-Based Feature Selection for Efficient LiDAR SLAM. ICRA 2021: 5222-5228 - [c121]Haoyang Ye, Huaiyang Huang, Marco Hutter, Timothy Sandy, Ming Liu:
3D Surfel Map-Aided Visual Relocalization with Learned Descriptors. ICRA 2021: 5574-5581 - [c120]Jin Wu, Shuyang Zhang, Yilong Zhu, Ruoyu Geng, Zhongtao Fu, Fulong Ma, Ming Liu:
Differential Information Aided 3-D Registration for Accurate Navigation and Scene Reconstruction. ICRA 2021: 9249-9254 - [c119]Hengli Wang, Yuxiang Sun, Rui Fan, Ming Liu:
S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs. ICRA 2021: 11422-11428 - [c118]Yuxuan Liu, Lujia Wang, Ming Liu:
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection. ICRA 2021: 13018-13024 - [c117]Hengli Wang, Peide Cai, Yuxiang Sun, Lujia Wang, Ming Liu:
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation. ICRA 2021: 13731-13737 - [c116]Bingjie Yan, Boyi Liu, Lujia Wang, Yize Zhou, Zhixuan Liang, Ming Liu, Cheng-Zhong Xu:
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning. IJCNN 2021: 1-8 - [c115]Zhenhua Xu, Yuxiang Sun, Lujia Wang, Ming Liu:
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images. IROS 2021: 1117-1123 - [c114]Hengli Wang, Rui Fan, Peide Cai, Ming Liu:
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection. IROS 2021: 1140-1145 - [c113]Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu:
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks. IROS 2021: 8979-8984 - [e2]Markus Vincze, Timothy Patten, Henrik I. Christensen, Lazaros Nalpantidis, Ming Liu:
Computer Vision Systems - 13th International Conference, ICVS 2021, Virtual Event, September 22-24, 2021, Proceedings. Lecture Notes in Computer Science 12899, Springer 2021, ISBN 978-3-030-87155-0 [contents] - [i107]Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi:
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. CoRR abs/2101.05682 (2021) - [i106]Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu:
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars. CoRR abs/2102.00675 (2021) - [i105]Yuxuan Liu, Yixuan Yuan, Ming Liu:
Ground-aware Monocular 3D Object Detection for Autonomous Driving. CoRR abs/2102.00690 (2021) - [i104]Hengli Wang, Rui Fan, Yuxiang Sun, Ming Liu:
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms. CoRR abs/2103.02433 (2021) - [i103]Hengli Wang, Rui Fan, Peide Cai, Ming Liu:
PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching. CoRR abs/2103.07094 (2021) - [i102]Yuxuan Liu, Lujia Wang, Ming Liu:
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection. CoRR abs/2103.09422 (2021) - [i101]