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Leveraging Information Bottleneck for Scientific Document Summarization


Oct 04, 2021
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan

* Accepted at EMNLP 2021 Findings 

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Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning


Sep 17, 2021
Peide Cai, Sukai Wang, Hengli Wang, Ming Liu

* 8 pages, 6 figures, submitted to RA-L with ICRA presentation option 

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R-PCC: A Baseline for Range Image-based Point Cloud Compression


Sep 16, 2021
Sukai Wang, Jianhao Jiao, Peide Cai, Ming Liu

* Submitted to ICRA2022 

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Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms


Sep 06, 2021
Rui Fan, Hengli Wang, Yuan Wang, Ming Liu, Ioannis Pitas

* accepted as a regular paper to IEEE Transactions on Image Processing 

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Prototypes-Guided Memory Replay for Continual Learning


Aug 28, 2021
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang


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GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps


Aug 20, 2021
Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin

* Accepted by CIKM'21 

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Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision


Aug 18, 2021
Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo

* Accepted by ICCV 2021 

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DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks


Aug 11, 2021
Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu

* 11 pages, 6 figures. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Deep Metric Learning for Open World Semantic Segmentation


Aug 10, 2021
Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu

* Accepted by ICCV2021 

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On Bundle Adjustment for Multiview PointCloud Registration


Aug 06, 2021
Huaiyang Huang, Yuxiang Sun, Jin Wu, Jiaohao Jiao, Xiangcheng Hu, Linwei Zheng, Lujia Wang, Ming Liu

* IEEE Robotics and Automation Letters 2021 

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Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM


Aug 04, 2021
Huaiyang Huang, Haoyang Ye, Yuxiang Sun, Lujia Wang, Ming Liu

* Autonomous Robots; 14 pages, 9 figures; project homepage: https://hyhuang1995.github.io/dgvslam/ 

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SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection


Jul 30, 2021
Hengli Wang, Rui Fan, Peide Cai, Ming Liu

* 7 pages, 5 figures and 2 tables. This paper is accepted by IROS 2021 

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Federated Learning Meets Natural Language Processing: A Survey


Jul 27, 2021
Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang

* 19 pages 

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CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images


Jul 26, 2021
Zhenhua Xu, Yuxiang Sun, Lujia Wang, Ming Liu

* Accepted by The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 

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Feature Mining: A Novel Training Strategy for Convolutional Neural Network


Jul 18, 2021
Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Ming Liu


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Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning


Jul 18, 2021
Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu

* 8 pages, 8 figures. IEEE Robotics and Automation Letters (RA-L) & IROS 2021 

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SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume


Jul 17, 2021
Hengli Wang, Rui Fan, Ming Liu

* 5 pages, 3 figures and 2 tables. This paper is accepted by ICIP 2021 

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Co-Teaching: An Ark to Unsupervised Stereo Matching


Jul 17, 2021
Hengli Wang, Rui Fan, Ming Liu

* 5 pages, 3 figures and 2 tables. This paper is accepted by ICIP 2021 

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Go Small and Similar: A Simple Output Decay Brings Better Performance


Jun 12, 2021
Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu


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Self-supervision of Feature Transformation for Further Improving Supervised Learning


Jun 09, 2021
Zilin Ding, Yuhang Yang, Xuan Cheng, Xiaomin Wang, Ming Liu

* 15 pages, 6 figures 

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Self-supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning


Jun 09, 2021
Yuhang Yang, Zilin Ding, Xuan Cheng, Xiaomin Wang, Ming Liu


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White Paper Assistance: A Step Forward Beyond the Shortcut Learning


Jun 08, 2021
Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu

* 10 pages, 4 figures 

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DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension


Apr 26, 2021
Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu

* Accepted by IJCNN 2021 

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Comparing Representations in Tracking for Event Camera-based SLAM


Apr 20, 2021
Jianhao Jiao, Huaiyang Huang, Liang Li, Zhijian He, Yilong Zhu, Ming Liu

* 9 pages, 7 figures, accepted by CVPR Workshop 2021 

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End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving


Apr 18, 2021
Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu

* 10 pages, 5 figures and 4 tables. This paper is accepted by CVPRW 2021 

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Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation


Apr 18, 2021
Hengli Wang, Peide Cai, Yuxiang Sun, Lujia Wang, Ming Liu

* 7 pages, 5 figures and 1 table. This paper is accepted by ICRA 2021. arXiv admin note: text overlap with arXiv:2104.08862 

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3D Surfel Map-Aided Visual Relocalization with Learned Descriptors


Apr 08, 2021
Haoyang Ye, Huaiyang Huang, Marco Hutter, Timothy Sandy, Ming Liu

* To appear in ICRA 2021 

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Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving


Mar 31, 2021
Zhenhua Xu, Yuxiang Sun, Ming Liu


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iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving


Mar 31, 2021
Zhenhua Xu, Yuxiang Sun, Ming Liu

* IEEE Robotics and Automation Letters,6,(2021),1097-1104 

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FocusedDropout for Convolutional Neural Network


Mar 29, 2021
Tianshu Xie, Minghui Liu, Jiali Deng, Xuan Cheng, Xiaomin Wang, Ming Liu


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