Quantitative analysis of discrete 3D geometrical detail levels based on perceptual metric. - Qing Zhu; Junqiao Zhao; Zhiqiang Du; Yeting Zhang (Comput. Graph., 2010)

Formalisation of the level of detail in 3D city modelling. - Filip Biljecki; Hugo Ledoux; Jantien E. Stoter; Junqiao Zhao (Comput. Environ. Urban Syst., 2014)

Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 buildings. - Sjors Donkers; Hugo Ledoux; Junqiao Zhao; Jantien E. Stoter (Trans. GIS, 2016)

Fully Combined Convolutional Network with Soft Cost Function for Traffic Scene Parsing. - Yan Wu 011; Tao Yang 044; Junqiao Zhao; Linting Guan; Jiqian Li (ICIC (1), 2017)

Pedestrian detection with dilated convolution, region proposal network and boosted decision trees. - Jiqian Li; Yan Wu 011; Junqiao Zhao; Linting Guan; Chen Ye 002; Tao Yang 044 (IJCNN, 2017)

Automatic Vector-based Road Structure Mapping Using Multi-beam LiDAR. - Xudong He; Junqiao Zhao; Lu Sun 002; Yewei Huang; Xinglian Zhang; Jun Li; Chen Ye 002 (ITSC, 2018)

TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China. - Junqiao Zhao; Chen Ye 002; Yan Wu 011; Linting Guan; Lewen Cai; Lu Sun 002; Tao Yang 044; Xudong He; Jun Li; Yongchao Ding; Xinglian Zhang; Xinchen Wang; et al. (ITSC, 2018)

Learn to Detect Objects Incrementally. - Linting Guan; Yan Wu 011; Junqiao Zhao; Chen Ye 002 (Intelligent Vehicles Symposium, 2018)

Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking. - Yewei Huang; Junqiao Zhao; Xudong He; Shaoming Zhang; Tiantian Feng (Intelligent Vehicles Symposium, 2018)

DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment. - Lu Sun 002; Junqiao Zhao; Xudong He; Chen Ye 002 (Intelligent Vehicles Symposium, 2018)

VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View. - Yan Wu 011; Tao Yang 044; Junqiao Zhao; Linting Guan; Wei Jiang (Intelligent Vehicles Symposium, 2018)

Line-based Road Structure Mapping Using Multi-beam LiDAR. - Xudong He; Junqiao Zhao; Lu Sun 002; Yewei Huang; Xinglian Zhang; Jun Li; Chen Ye 002 (CoRR, 2018)

SCAN: Semantic Context Aware Network for Accurate Small Object Detection. - Linting Guan; Yan Wu 011; Junqiao Zhao (Int. J. Comput. Intell. Syst., 2018)

DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block. - Wei Jiang; Yan Wu 011; Linting Guan; Junqiao Zhao (ICRA, 2019)

Super Resolution Reconstruction Technique in Passive Microwave Images of Arctic Sea Ice. - Xiaomin Liu; Tiantian Feng; Junqiao Zhao; Rongxing Li (IGARSS, 2019)

VINS-Vehicle: A Tightly-Coupled Vehicle Dynamics Extension to Visual-Inertial State Estimator. - Rong Kang; Lu Xiong 001; Mingyu Xu; Junqiao Zhao; Peizhi Zhang (ITSC, 2019)

DL-SLAM: Direct 2.5D LiDAR SLAM for Autonomous Driving. - Jun Li; Junqiao Zhao; Yuchen Kang; Xudong He; Chen Ye 002; Lu Sun 002 (IV, 2019)

A Novel Robust Lane Change Trajectory Planning Method for Autonomous Vehicle. - Dequan Zeng; Zhuoping Yu; Lu Xiong 001; Junqiao Zhao; Peizhi Zhang; Zhiqiang Li; Zhiqiang Fu; Jie Yao; Yi Zhou (IV, 2019)

Learning How to Avoiding Obstacles for End-to-End Driving with Conditional Imitation Learning. - Enwei Zhang; Hongtu Zhou; Yongchao Ding; Junqiao Zhao; Chen Ye 002 (SPML, 2019)

Semantic segmentation via highly fused convolutional network with multiple soft cost functions. - Tao Yang 044; Yan Wu 011; Junqiao Zhao; Linting Guan (Cogn. Syst. Res., 2019)

Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN. - Hongtu Zhou; Xinneng Yang; Enwei Zhang; Junqiao Zhao; Lewen Cai; Chen Ye 002; Yan Wu 011 (CoRR, 2019)

Automatic Vector-Based Road Structure Mapping Using Multibeam LiDAR. - Junqiao Zhao; Xudong He; Jun Li; Tiantian Feng; Chen Ye 002; Lu Xiong 001 (Remote. Sens., 2019)

Visual Semantic Landmark-Based Robust Mapping and Localization for Autonomous Indoor Parking. - Junqiao Zhao; Yewei Huang; Xudong He; Shaoming Zhang; Chen Ye 002; Tiantian Feng; Lu Xiong 001 (Sensors, 2019)

Dense Dual-Path Network for Real-Time Semantic Segmentation. - Xinneng Yang; Yan Wu 011; Junqiao Zhao; Feilin Liu (ACCV (1), 2020)

Occlusion aware unsupervised learning of optical flow from video. - Jianfeng Li; Junqiao Zhao; Tiantian Feng (ICMV, 2020)

Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers. - Zhuoping Yu; Xiaozhou Ren; Yuyao Huang; Wei Tian 001; Junqiao Zhao (ITSC, 2020)

Occlusion Aware Unsupervised Learning of Optical Flow From Video. - Jianfeng Li; Junqiao Zhao; Tiantian Feng; Chen Ye 002; Lu Xiong 001 (CoRR, 2020)

Joint Unsupervised Learning of Depth, Pose, Ground Normal Vector and Ground Segmentation by a Monocular Camera Sensor. - Lu Xiong 001; Yongkun Wen; Yuyao Huang; Junqiao Zhao; Wei Tian 001 (Sensors, 2020)

GPU-Efficient Dense Convolutional Network for Real-time Semantic Segmentation. - Xinneng Yang; Yan Wu 011; Junqiao Zhao; Feilin Liu (ICRA, 2021)

Stereo Visual Inertial SLAM with Semi-direct Residual. - Ran Ju; Junqiao Zhao; Lu Xiong 001; Yanqun Han; Yuyao Huang; Zhuoping Yu (ITSC, 2021)

Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video. - Jianfeng Li; Junqiao Zhao; Shuangfu Song; Tiantian Feng (CoRR, 2021)

Robust Dual Quadric Initialization for Forward-Translating Camera Movements. - Shujia Chen; Shuangfu Song; Junqiao Zhao; Tiantian Feng; Chen Ye 002; Lu Xiong 001; Deyi Li (IEEE Robotics Autom. Lett., 2021)

Pole-Curb Fusion Based Robust and Efficient Autonomous Vehicle Localization System With Branch-and-Bound Global Optimization and Local Grid Map Method. - Guang Chen 001; Fan Lu 001; Zhijun Li 001; Yinlong Liu; Jinhu Dong; Junqiao Zhao; Junwei Yu; Alois C. Knoll (IEEE Trans. Veh. Technol., 2021)

CLSD: Continual Learning for Lane Line Segmentation Across Domains. - Yan Wu 011; Yujun Liao; Wei Jiang; Junqiao Zhao; Feilin Liu; Yujian Mo (ICITE, 2022)

Scale Estimation with Dual Quadrics for Monocular Object SLAM. - Shuangfu Song; Junqiao Zhao; Tiantian Feng; Chen Ye 002; Lu Xiong 001 (IROS, 2022)

Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy for place recognition. - Yingfeng Cai; Junqiao Zhao; Jiafeng Cui; Fenglin Zhang; Tiantian Feng; Chen Ye 002 (MFI, 2022)

DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition. - Jiafeng Cui; Yingfeng Cai; Tengfei Huang; Junqiao Zhao; Lu Xiong 001; Zhuoping Yu (MFI, 2022)

UPC-Faster-RCNN: A Dynamic Self-Labeling Algorithm for Open-Set Object Detection Based on Unknown Proposal Clustering. - Yujun Liao; Yan Wu 011; Yujian Mo; Feilin Liu; Yufei He; Junqiao Zhao (MFI, 2022)

Weighted octree-based 3D indoor pathfinding for multiple locomotion types. - Junqiao Zhao; Qiaoyu Xu; Sisi Zlatanova; Liu Liu 010; Chen Ye 002; Tiantian Feng (Int. J. Appl. Earth Obs. Geoinformation, 2022)

DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization. - Xuebo Tian; Junqiao Zhao; Chen Ye 002 (CoRR, 2022)

DL-SLOT: Dynamic LiDAR SLAM and object tracking based on collaborative graph optimization. - Xuebo Tian; Zhongyang Zhu; Junqiao Zhao; Gengxuan Tian; Chen Ye 002 (CoRR, 2022)

LIO-Vehicle: A Tightly-Coupled Vehicle Dynamics Extension of LiDAR Inertial Odometry. - Hongru Xiao; Yanqun Han; Junqiao Zhao; Jiafeng Cui; Lu Xiong 001; Zhuoping Yu (IEEE Robotics Autom. Lett., 2022)

G-VIDO: A Vehicle Dynamics and Intermittent GNSS-Aided Visual-Inertial State Estimator for Autonomous Driving. - Lu Xiong 001; Rong Kang; Junqiao Zhao; Peizhi Zhang; Mingyu Xu; Ran Ju; Chen Ye 002; Tiantian Feng (IEEE Trans. Intell. Transp. Syst., 2022)

Efficient Adaptive Upsampling Module for Real-Time Semantic Segmentation. - Xinneng Yang; Yan Wu 011; Junqiao Zhao; Feilin Liu; Yujun Liao; Yujian Mo (Int. J. Pattern Recognit. Artif. Intell., 2022)

Robust Traffic Light Recognition Pipeline Based on YOLOv8 for Autonomous Driving Systems. - Yuwei Zhang; Yan Wu 011; Junqiao Zhao; Yinghao Hu; Yufei He; Jijun Wang (ICPADS, 2023)

Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations. - Chang Huang; Junqiao Zhao; Hongtu Zhou; Hai Zhang; Xiao Zhang; Chen Ye 002 (IV, 2023)

How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization. - Hai Zhang; Hang Yu; Junqiao Zhao; Di Zhang; Xiao Zhang; Hongtu Zhou; Chang Huang; Chen Ye 002 (NeurIPS, 2023)

LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking. - Zhongyang Zhu; Junqiao Zhao; Xuebo Tian; Kai Huang 010; Chen Ye 002 (CoRR, 2023)

Learning Sequence Descriptor based on Spatiotemporal Attention for Visual Place Recognition. - Fenglin Zhang; Junqiao Zhao; Yingfeng Cai; Gengxuan Tian; Wenjie Mu; Chen Ye 002 (CoRR, 2023)

VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition. - Gengxuan Tian; Junqiao Zhao; Yingfeng Cai; Fenglin Zhang; Wenjie Mu; Chen Ye 002 (CoRR, 2023)

Robust Loop Closure Selection Based on Inter-Robot and Intra-Robot Consistency for Multi-Robot Map Fusion. - Zhihong Chen; Junqiao Zhao; Tiantian Feng; Chen Ye 002; Lu Xiong 001 (Remote. Sens., 2023)

Sparse Query Dense: Enhancing 3D Object Detection with Pseudo Points. - Yujian Mo; Yan Wu 011; Junqiao Zhao; Zhenjie Hou; Weiquan Huang; Yinghao Hu; Jijun Wang; Jun Yan 009 (ACM Multimedia, 2024)

Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. - Lanqing Li; Hai Zhang; Xinyu Zhang; Shatong Zhu; Yang Yu; Junqiao Zhao; Pheng-Ann Heng (NeurIPS, 2024)

Focus On What Matters: Separated Models For Visual-Based RL Generalization. - Di Zhang; Bowen Lv; Hai Zhang; Feifan Yang; Junqiao Zhao; Hang Yu; Chang Huang; Hongtu Zhou; Chen Ye 002; Changjun Jiang (NeurIPS, 2024)

N3-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping. - Shuangfu Song; Junqiao Zhao; Kai Huang 010; Jiaye Lin; Chen Ye 002; Tiantian Feng (CoRR, 2024)

Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. - Lanqing Li; Hai Zhang; Xinyu Zhang; Shatong Zhu; Junqiao Zhao; Pheng-Ann Heng (CoRR, 2024)

Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning. - Hai Zhang; Boyuan Zheng; Anqi Guo; Tianying Ji; Pheng-Ann Heng; Junqiao Zhao; Lanqing Li (CoRR, 2024)

MVC-VPR: Mutual Learning of Viewpoint Classification and Visual Place Recognition. - Qiwen Gu; Xufei Wang; Fenglin Zhang; Junqiao Zhao; Siyue Tao; Chen Ye 002; Tiantian Feng; Changjun Jiang (CoRR, 2024)

Learning Sequence Descriptor Based on Spatio-Temporal Attention for Visual Place Recognition. - Junqiao Zhao; Fenglin Zhang; Yingfeng Cai; Gengxuan Tian; Wenjie Mu; Chen Ye 002; Tiantian Feng (IEEE Robotics Autom. Lett., 2024)

LOG-LIO: A LiDAR-Inertial Odometry With Efficient Local Geometric Information Estimation. - Kai Huang 010; Junqiao Zhao; Zhongyang Zhu; Chen Ye 002; Tiantian Feng (IEEE Robotics Autom. Lett., 2024)

Safe Reinforcement Learning With Dead-Ends Avoidance and Recovery. - Xiao Zhang; Hai Zhang; Hongtu Zhou; Chang Huang; Di Zhang; Chen Ye 002; Junqiao Zhao (IEEE Robotics Autom. Lett., 2024)

DL-SLOT: Tightly-Coupled Dynamic LiDAR SLAM and 3D Object Tracking Based on Collaborative Graph Optimization. - Xuebo Tian; Zhongyang Zhu; Junqiao Zhao; Gengxuan Tian; Chen Ye 002 (IEEE Trans. Intell. Veh., 2024)

N$^{3}$-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-Scale 3D Mapping. - Shuangfu Song; Junqiao Zhao; Kai Huang 010; Jiaye Lin; Chen Ye 002; Tiantian Feng (IEEE Robotics Autom. Lett., 2024)

LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking. - Zhongyang Zhu; Junqiao Zhao; Kai Huang 010; Xuebo Tian; Jiaye Lin; Chen Ye 002 (IEEE Robotics Autom. Lett., 2024)

LOG-LIO2: A LiDAR-Inertial Odometry With Efficient Uncertainty Analysis. - Kai Huang 010; Junqiao Zhao; Jiaye Lin; Zhongyang Zhu; Shuangfu Song; Chen Ye 002; Tiantian Feng (IEEE Robotics Autom. Lett., 2024)

SAPT: Saliency Augmentation and Unsupervised Pre-trained Model Fusion for Few-Shot Object Detection. - Yujun Liao; Yan Wu 011; Yujian Mo; Yufei He; Yinghao Hu; Junqiao Zhao (J. Signal Process. Syst., 2024)

Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning. - Hai Zhang; Boyuan Zheng; Tianying Ji; Jinhang Liu; Anqi Guo; Junqiao Zhao; Lanqing Li (ICLR, 2025)

Batch Informed Vines (BIV*): Heuristically Guided Exploration of Narrow Passages by Batch Vine Expansion. - Ziheng Jiang; Chang Huang; Hongtu Zhou; Linlin Zhou; Chen Ye 002; Junqiao Zhao (IEEE Robotics Autom. Lett., 2025)

Convex Hull-based Algebraic Constraint for Visual Quadric SLAM. - Xiaolong Yu; Junqiao Zhao; Shuangfu Song; Zhongyang Zhu; Zihan Yuan; Chen Ye 002; Tiantian Feng (CoRR, 2025)

KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation. - Di Zhang; Chengbo Yuan; Chuan Wen; Hai Zhang; Junqiao Zhao; Yang Gao (CoRR, 2025)

Ranking-aware Continual Learning for LiDAR Place Recognition. - Xufei Wang; Gengxuan Tian; Junqiao Zhao; Siyue Tao; Qiwen Gu; Qiankun Yu; Tiantian Feng (CoRR, 2025)

Enhancing LiDAR Point Features with Foundation Model Priors for 3D Object Detection. - Yujian Mo; Yan Wu 011; Junqiao Zhao; Jijun Wang; Yinghao Hu; Jun Yan 009 (CoRR, 2025)

LDRFusion: A LiDAR-Dominant multimodal refinement framework for 3D object detection. - Jijun Wang; Yan Wu 011; Yujian Mo; Junqiao Zhao; Jun Yan 009; Yinghao Hu (CoRR, 2025)

UN3-Mapping: Uncertainty-Aware Neural Non-Projective Signed Distance Fields for 3D Mapping. - Shuangfu Song; Junqiao Zhao; Eduardo E. Veas; Jiaye Lin; Qiuyi Cao; Chen Ye 002; Tiantian Feng (IEEE Robotics Autom. Lett., 2025)