A general model for machinable features and its application to machinability evaluation of mechanical parts. - Li Chen; Jian Pu; Xiankui Wang (Comput. Aided Des., 2002)

SLA Admission Controller for Reliable MPLS Networks. - Jian Pu; Md. Mostofa Akbar; Eric Gowland; Gholamali C. Shoja; Eric G. Manning (Applied Informatics, 2003)

Reliable routing and its application in MPLS and admission control. - Jian Pu (2003)

A Novel Fuzzy Neural Network for Pattern Recognition. - Yibiao Zhao; Song Wang; Shun Zhang; Jian Pu; Rui Fang (IEEE ICCI, 2006)

QFCP: A Router-Assisted Congestion Control Mechanism for Heterogeneous Networks (Extended). - Jian Pu; Mounir Hamdi (SITIS, 2006)

Roundup: a multi-genome repository of orthologs and evolutionary distances. - Todd F. DeLuca; I-Hsien Wu; Jian Pu; Thomas Monaghan; Leonid Peshkin; Saurav Singh; Dennis P. Wall (Bioinform., 2006)

Improving Quality of Service for Congestion Control in High-Speed Wired-cum-Wireless Networks. - Jian Pu; Mounir Hamdi (GLOBECOM, 2007)

Enhancements on Router-Assisted Congestion Control for Wireless Networks. - Jian Pu; Mounir Hamdi (IEEE Trans. Wirel. Commun., 2008)

Interactive Super-Resolution through Neighbor Embedding. - Jian Pu; Junping Zhang; Peihong Guo; Xiaoru Yuan (ACCV (3), 2009)

Model-Tree-Based Rate Adaptation Scheme for Vehicular Networks. - Qiuyan Xia; Jian Pu; Mounir Hamdi (ICC, 2009)

Practical and efficient open-loop rate/link adaptation algorithm for high-speed IEEE 802.11n WLANs. - Qiuyan Xia; Jian Pu; Mounir Hamdi; Khaled Ben Letaief (ISCC, 2009)

QoS based scheduling in the downlink of multi-user wireless systems (extended). - Feng Wang; Jian Pu; Mounir Hamdi (Comput. Commun., 2009)

Neighbor embedding based super-resolution algorithm through edge detection and feature selection. - Tak-Ming Chan; Junping Zhang; Jian Pu; Hua Huang 001 (Pattern Recognit. Lett., 2009)

Chrono-Gait Image: A Novel Temporal Template for Gait Recognition. - Chen Wang; Junping Zhang; Jian Pu; Xiaoru Yuan; Liang Wang 001 (ECCV (1), 2010)

Utility-based fair bandwidth sharing in vehicular networks. - Jian Pu; Mounir Hamdi (IWCMC, 2010)

Low-Resolution Gait Recognition. - Junping Zhang; Jian Pu; Changyou Chen; Rudolf Fleischer (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Utility-based fair bandwidth sharing in vehicular networks (extended). - Jian Pu; Mounir Hamdi (Wirel. Commun. Mob. Comput., 2010)

Human Identification Using Temporal Information Preserving Gait Template. - Chen Wang; Junping Zhang; Liang Wang 001; Jian Pu; Xiaoru Yuan (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Multiple Task Learning Using Iteratively Reweighted Least Square. - Jian Pu; Yu-Gang Jiang 001; Jun Wang 006; Xiangyang Xue 001 (IJCAI, 2013)

Which Looks Like Which: Exploring Inter-class Relationships in Fine-Grained Visual Categorization. - Jian Pu; Yu-Gang Jiang 001; Jun Wang 006; Xiangyang Xue 001 (ECCV (3), 2014)

Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification. - Zuxuan Wu; Yu-Gang Jiang 001; Jun Wang 006; Jian Pu; Xiangyang Xue 001 (ACM Multimedia, 2014)

A novel active splitting strategy search method with modularity-based network partition. - Yifan Zhou; Wei Hu; Qiangming Zhou; Hongqiao Yu; Jian Pu (ISGT Asia, 2015)

Discriminative Structured Feature Engineering for Macroscale Brain Connectomes. - Jian Pu; Jun Wang 006; Wenwen Yu; Zhuangming Shen; Qian Lv; Kristina Zeljic; Chencheng Zhang; Bomin Sun; Guoxiang Liu; Zheng Wang 035 (IEEE Trans. Medical Imaging, 2015)

Multiple task learning with flexible structure regularization. - Jian Pu; Jun Wang 006; Yu-Gang Jiang 001; Xiangyang Xue 001 (Neurocomputing, 2016)

Flexible multi-task learning with latent task grouping. - Shi Zhong; Jian Pu; Yu-Gang Jiang 001; Rui Feng 001; Xiangyang Xue 001 (Neurocomputing, 2016)

Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information. - Jian Pu; Jun Wang 006; Yingbin Zheng; Hao Ye 005; Weiwei Shen; Yuxin Li; Hongyuan Zha (BIBM, 2017)

Glioma grading based on 3D multimodal convolutional neural network and privileged learning. - Fangyan Ye; Jian Pu; Jun Wang 006; Yuxin Li; Hongyuan Zha (BIBM, 2017)

Indoor Scene Classification by Incorporating Predicted Depth Descriptor. - Yingbin Zheng; Jian Pu; Hong Wang 014; Hao Ye 005 (PCM (2), 2017)

Tau-FPL: Tolerance-Constrained Learning in Linear Time. - Ao Zhang; Nan Li 019; Jian Pu; Jun Wang 006; Junchi Yan; Hongyuan Zha (AAAI, 2018)

Single-image Super-resolution via De-biased Sparse Representation. - Jian Pu; Yingbin Zheng; Hao Ye 005 (IPTA, 2018)

Satellite Image Scene Classification via ConvNet With Context Aggregation. - Zhao Zhou; Yingbin Zheng; Hao Ye 005; Jian Pu; Gufei Sun (PCM (2), 2018)

Crowd Counting with Density Adaption Networks. - Li Wang 033; Weiyuan Shao; Yao Lu; Hao Ye 005; Jian Pu; Yingbin Zheng (CoRR, 2018)

Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days. - Xiaoping Pang; Jian Pu; Xi Zhao 003; Qing Ji; Meng Qu; Zian Cheng (Remote. Sens., 2018)

Learning Multiviewpoint Context-Aware Representation for RGB-D Scene Classification. - Yingbin Zheng; Hao Ye 005; Li Wang 033; Jian Pu (IEEE Signal Process. Lett., 2018)

The Kelly Growth Optimal Portfolio with Ensemble Learning. - Weiwei Shen; Bin Wang; Jian Pu; Jun Wang 006 (AAAI, 2019)

Curve Text Detection with Local Segmentation Network and Curve Connection. - Zhao Zhou; Shufan Wu; Shuchen Kong; Yingbin Zheng; Hao Ye 005; Luhui Chen; Jian Pu (CoRR, 2019)

False positive rate control for positive unlabeled learning. - Shuchen Kong; Weiwei Shen; Yingbin Zheng; Ao Zhang; Jian Pu; Jun Wang 006 (Neurocomputing, 2019)

Knowledge Distillation with a Precise Teacher and Prediction with Abstention. - Yi Xu; Jian Pu; Hui Zhao (ICPR, 2020)

Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control. - Ke Lin 001; Liang Gong; Xudong Li 002; Te Sun; Binhao Chen; Chengliang Liu 001; Zhengfeng Zhang; Jian Pu; Junping Zhang (CoRR, 2020)

POD analysis of passage-layout effect on unsteady internal flow in a realistic blade serpentine coolant channel with low aspect ratios. - Jian Pu; Ren-bin Yu; Jianhua Wang; Bo Wan; Jian-xia Luo; Shuqing Tian (J. Vis., 2020)

Aggregated context network for crowd counting. - Si-yue Yu; Jian Pu (Frontiers Inf. Technol. Electron. Eng., 2020)

Selfgait: A Spatiotemporal Representation Learning Method for Self-Supervised Gait Recognition. - Yiqun Liu 009; Yi Zeng; Jian Pu; Hongming Shan; Peiyang He; Junping Zhang (ICASSP, 2021)

Asymmetric Loss for Positive-Unlabeled Learning. - Cong Wang; Jian Pu; Zhi Xu; Junping Zhang (ICME, 2021)

Defense against Adversarial Attacks with an Induced Class. - Zhi Xu; Jun Wang 006; Jian Pu (IJCNN, 2021)

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification. - Jie Chen; Shouzhen Chen; Mingyuan Bai; Jian Pu; Junping Zhang; Junbin Gao (CoRR, 2021)

Parallel pathway dense neural network with weighted fusion structure for brain tumor segmentation. - Fangyan Ye; Yingbin Zheng; Hao Ye 005; Xiaohao Han; Yuxin Li; Jun Wang 006; Jian Pu (Neurocomputing, 2021)

FRFCM clustering segmentation method for medical MR image feature diagnosis. - Qian He; Juwei Shao; Jian Pu; Minjie Zhou; Shutian Xiang; Wei Su (J. Intell. Fuzzy Syst., 2021)

A self-supervised method for treatment recommendation in sepsis. - Sihan Zhu; Jian Pu (Frontiers Inf. Technol. Electron. Eng., 2021)

Memory-Based Message Passing: Decoupling the Message for Propagation from Discrimination. - Jie Chen; Weiqi Liu; Jian Pu (ICASSP, 2022)

Compressed Video Quality Enhancement with Motion Approximation and Blended Attention. - Xiaohao Han; Wei Zhang; Jian Pu (ICPR, 2022)

Exploring Spatiotemporal Relationships for Improving Compressed Video Quality. - Xiaohao Han; Wei Zhang; Jian Pu (ICPR, 2022)

SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving. - Jiawei Hou; Qi Chen 025; Yurong Cheng; Guang Chen; Xiangyang Xue 001; Taiping Zeng; Jian Pu (ITSC, 2022)

An analysis of the correlation between diabetic retinopathy and preretinal oxygen tension using three-dimensional spoiled gradient-recalled echo sequence imaging. - Minjie Zhou; Juwei Shao; Jian Pu; Shutian Xiang; Yi Liang; Qian He; Wei Su; Cheng Liu (BMC Medical Imaging, 2022)

Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination. - Jie Chen; Weiqi Liu; Jian Pu (CoRR, 2022)

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily. - Jie Chen; Shouzhen Chen; Zengfeng Huang; Junping Zhang; Jian Pu (CoRR, 2022)

Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing. - Jie Chen; Weiqi Liu; Zhizhong Huang; Junbin Gao; Junping Zhang; Jian Pu (CoRR, 2022)

Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection. - Zizhang Wu; Yunzhe Wu; Jian Pu; Xianzhi Li; Xiaoquan Wang (AAAI, 2023)

ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation. - Zizhang Wu; Zhuozheng Li; Zhi-Gang Fan; Yunzhe Wu; Xiaoquan Wang; Rui Tang; Jian Pu (CoRL, 2023)

From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm. - Jie Chen 001; Zilong Li 001; Yin Zhu; Junping Zhang; Jian Pu (CVPR, 2023)

Instance-Aware Diffusion Implicit Process for Box-Based Instance Segmentation. - Hao Ren 002; Xingsong Liu; Junjian Huang; Ru Wan; Jian Pu; Hong Lu 001 (ECAI, 2023)

Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation. - Feng Jiang; Heng Gao; Shoumeng Qiu; Haiqiang Zhang; Ru Wan; Jian Pu (ICME, 2023)

Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation. - Shoumeng Qiu; Feng Jiang; Haiqiang Zhang; Xiangyang Xue 001; Jian Pu (ICRA, 2023)

MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion. - Zizhang Wu; Guilian Chen; Yuanzhu Gan; Lei Wang; Jian Pu (ICRA, 2023)

MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts. - Zizhang Wu; Yuanzhu Gan; Lei Wang; Guilian Chen; Jian Pu (ICRA, 2023)

Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention. - Zizhang Wu; Zhuozheng Li; Zhi-Gang Fan; Yunzhe Wu; Yuanzhu Gan; Jian Pu (IJCAI, 2023)

Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection. - Xianhui Cheng; Shoumeng Qiu; Zhikang Zou; Jian Pu; Xiangyang Xue 001 (IJCNN, 2023)

V2Depth: Monocular Depth Estimation via Feature-Level Virtual-View Simulation and Refinement. - Zizhang Wu; Zhuozheng Li; Zhi-Gang Fan; Yunzhe Wu; Jian Pu; Xianzhi Li (ACM Multimedia, 2023)

Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention. - Zizhang Wu; Zhuozheng Li; Zhi-Gang Fan; Yunzhe Wu; Yuanzhu Gan; Jian Pu; Xianzhi Li (CoRR, 2023)

LineMarkNet: Line Landmark Detection for Valet Parking. - Zizhang Wu; Yuanzhu Gan; Tianhao Xu; Rui Tang; Jian Pu (CoRR, 2023)

PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving. - Zizhang Wu; Xinyuan Chen; Fan Song; Yuanzhu Gan; Tianhao Xu; Jian Pu; Rui Tang (CoRR, 2023)

Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving. - Feng Jiang; Chaoping Tu; Gang Zhang; Jun Li; Hanqing Huang; Junyu Lin; Di Feng; Jian Pu (CoRR, 2023)

Visualization and quantitation of unsteadiness of film cooling near stagnation line of a double-wall cooled vane leading edge. - Jian Pu; Wen-li Zhou; Jianhua Wang; Wei Song (J. Vis., 2023)

Location-Guided LiDAR-Based Panoptic Segmentation for Autonomous Driving. - Guozeng Xian; Changyun Ji; Lin Zhou; Guang Chen; Junping Zhang; Bin Li 015; Xiangyang Xue 001; Jian Pu (IEEE Trans. Intell. Veh., 2023)

HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer. - Junping Zhang; Jian Pu; Jianru Xue; Ming Yang 002; Xin Xu 001; Xiao Wang 002; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2023)

DSiV: Data Science for Intelligent Vehicles. - Junping Zhang; Jian Pu; Jie Chen 001; Haolin Fu; Yongzhi Tao; Shihmin Wang; Qi Chen; Yunfeng Xiao; Siming Chen 001; Yuan Cheng; Hongming Shan; Dewang Chen; et al. (IEEE Trans. Intell. Veh., 2023)

Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning. - Shihmin Wang; Binqi Zhao; Zhengfeng Zhang; Junping Zhang; Jian Pu (Frontiers Inf. Technol. Electron. Eng., 2023)

Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification. - Jie Chen; Shouzhen Chen; Mingyuan Bai; Jian Pu; Junping Zhang; Junbin Gao (IEEE Trans. Neural Networks Learn. Syst., 2023)

FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection. - Zizhang Wu; Yuanzhu Gan; Yunzhe Wu; Ruihao Wang; Xiaoquan Wang; Jian Pu (AAAI, 2024)

Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation. - Shoumeng Qiu; Jie Chen; Xinrun Li; Ru Wan; Xiangyang Xue 001; Jian Pu (ECCV (84), 2024)

G-MIMO: Empowering GNNs with Diverse Sub-Networks for Graph Classification. - Qipeng Zhu; Jie Chen; Junping Zhang; Jian Pu (ICME, 2024)

PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion. - Yuxiang Yan 002; Boda Liu 002; Jianfei Ai; Qinbu Li; Ru Wan; Jian Pu (ICRA, 2024)

Multi-LIO: A Lightweight Multiple LiDAR-Inertial Odometry System. - Qi Chen 025; Guanghao Li; Xiangyang Xue 001; Jian Pu (ICRA, 2024)

Mitigating Causal Confusion in Vector-Based Behavior Cloning for Safer Autonomous Planning. - Jiayu Guo; Mingyue Feng; Pengfei Zhu; Jinsheng Dou; Di Feng; Chengjun Li; Ru Wan; Jian Pu (ICRA, 2024)

FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View. - Jiawei Hou; Xiaoyan Li; Wenhao Guan; Gang Zhang; Di Feng; Yuheng Du; Xiangyang Xue 001; Jian Pu (ICRA, 2024)

HP3: Hierarchical Prediction-Pretrained Planning for Unprotected Left Turn. - Zhihao Ou; Zhibo Wang; Yue Hua; Jinsheng Dou; Di Feng; Jian Pu (IROS, 2024)

Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs. - Rong Ma; Jie Chen; Xiangyang Xue 001; Jian Pu (NeurIPS, 2024)

A Robust Diffusion Modeling Framework for Radar Camera 3D Object Detection. - Zizhang Wu; Yunzhe Wu; Xiaoquan Wang; Yuanzhu Gan; Jian Pu (WACV, 2024)

EC-SLAM: Real-time Dense Neural RGB-D SLAM System with Effectively Constrained Global Bundle Adjustment. - Guanghao Li; Qi Chen; YuXiang Yan; Jian Pu (CoRR, 2024)

OAML: Outlier Aware Metric Learning for OOD Detection Enhancement. - Heng Gao; Zhuolin He; Shoumeng Qiu; Jian Pu (CoRR, 2024)

Towards Open-set Camera 3D Object Detection. - Zhuolin He; Xinrun Li; Heng Gao; Jiachen Tang; Shoumeng Qiu; Wenfu Wang; Lvjian Lu; Xuchong Qiu; Xiangyang Xue 001; Jian Pu (CoRR, 2024)

Rethinking Closed-loop Planning Framework for Imitation-based Model Integrating Prediction and Planning. - Jiayu Guo; Mingyue Feng; Pengfei Zhu; Chengjun Li; Jian Pu (CoRR, 2024)

GlobalMapNet: An Online Framework for Vectorized Global HD Map Construction. - Anqi Shi; Yuze Cai; Xiangyu Chen; Jian Pu; Zeyu Fu; Hong Lu (CoRR, 2024)

PAPL-SLAM: Principal Axis-Anchored Monocular Point-Line SLAM. - Guanghao Li; Yu Cao; Qi Chen; Yifan Yang; Jian Pu (CoRR, 2024)

Guided contrastive boundary learning for semantic segmentation. - Shoumeng Qiu; Jie Chen; Haiqiang Zhang; Ru Wan; Xiangyang Xue 001; Jian Pu (Pattern Recognit., 2024)

Embrace sustainable AI: Dynamic data subset selection for image classification. - Zimo Yin; Jian Pu; Ru Wan; Xiangyang Xue 001 (Pattern Recognit., 2024)

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP. - Jie Chen; Mingyuan Bai; Shouzhen Chen; Junbin Gao; Junping Zhang; Jian Pu (Trans. Mach. Learn. Res., 2024)

Subclassified Loss: Rethinking Data Imbalance From Subclass Perspective for Semantic Segmentation. - Shoumeng Qiu; Xianhui Cheng; Hong Lu 001; Haiqiang Zhang; Ru Wan; Xiangyang Xue 001; Jian Pu (IEEE Trans. Intell. Veh., 2024)

Bridging the Gap: Improving Domain Generalization in Trajectory Prediction. - Zhibo Wang; Jiayu Guo; Haiqiang Zhang; Ru Wan; Junping Zhang; Jian Pu (IEEE Trans. Intell. Veh., 2024)

Leveraging Smooth Deformation Augmentation for LiDAR Point Cloud Semantic Segmentation. - Shoumeng Qiu; Jie Chen; Chenghang Lai; Hong Lu 001; Xiangyang Xue 001; Jian Pu (IEEE Trans. Intell. Veh., 2024)

VPL-SLAM: A Vertical Line Supported Point Line Monocular SLAM System. - Qi Chen 025; Yu Cao; Jiawei Hou; Guanghao Li; Shoumeng Qiu; Bo Chen; Xiangyang Xue 001; Hong Lu 001; Jian Pu (IEEE Trans. Intell. Transp. Syst., 2024)

Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily. - Jie Chen; Shouzhen Chen; Junbin Gao; Zengfeng Huang; Junping Zhang; Jian Pu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Two-Stage Approach for Targeted Knowledge Transfer in Self-Knowledge Distillation. - Zimo Yin; Jian Pu; Yijie Zhou; Xiangyang Xue 001 (IEEE CAA J. Autom. Sinica, 2024)

PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation. - Shoumeng Qiu; Xinrun Li; Xiangyang Xue 001; Jian Pu (AAAI, 2025)

Detecting OOD Samples via Optimal Transport Scoring Function. - Heng Gao; Zhuolin He; Jian Pu (ICASSP, 2025)

Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs. - Xin Gao; Jian Pu (ICLR, 2025)

UL-SLAM: A Universal Monocular Line-Based SLAM Via Unifying Structural and Non-Structural Constraints. - Haochen Jiang; Rui Qian; Liang Du 004; Jian Pu; Jianfeng Feng (IEEE Trans Autom. Sci. Eng., 2025)

A2DO: Adaptive Anti-Degradation Odometry with Deep Multi-Sensor Fusion for Autonomous Navigation. - Hui Lai; Qi Chen; Junping Zhang; Jian Pu (CoRR, 2025)

FA-BARF: Frequency Adapted Bundle-Adjusting Neural Radiance Fields. - Rui Qian; Chenyangguang Zhang; Yan Di; Guangyao Zhai; Ruida Zhang; Jiayu Guo; Benjamin Busam; Jian Pu (CoRR, 2025)

Multi-modality Anomaly Segmentation on the Road. - Heng Gao; Zhuolin He; Shoumeng Qiu; Xiangyang Xue 001; Jian Pu (CoRR, 2025)

Visualizations of scalar concentration fields of short cylindrical-hole-jets under oscillating mainstream conditions. - Wen-hao Guo; Jian Pu; Jianhua Wang; Ran Yao (J. Vis., 2025)

PAPL-SLAM: Principal Axis-Anchored Monocular Point-Line SLAM. - Guanghao Li; Yu Cao; Qi Chen 025; Xin Gao; Yifan Yang; Jian Pu (IEEE Robotics Autom. Lett., 2025)

GS-Net: Point cloud sampling with graph neural networks. - Xiaolei Chen; Jie Chen; Shoumeng Qiu; Xiangyang Xue 001; Jian Pu (Pattern Recognit., 2026)

EC-SLAM: Effectively constrained neural RGB-D SLAM with TSDF hash encoding and joint optimization. - Guanghao Li; Qi Chen 025; Yuxiang Yan; Jian Pu (Pattern Recognit., 2026)