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13 papers in the last four weeks, up 225% on the four weeks before. 0.1% of all new papers.

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  1. Learning Grasp Targeting from Point Clouds for Log Pile Clearing on a Hydraulic Crane

    Oct 6, 2026George Sideris, Lucas Bessai, Heshan Fernando +3Robotic GraspingSim-to-Real Transfer

    McGill University, Montreal, QC, Canada. · FPInnovations, Pointe-Claire, QC, Canada.

  2. DiFF: Doppler-informed Flow Matching for Human Motion Flow

    Sep 30, 2026Kai Wang, Mingle ZhaoFlow MatchingPoint Cloud Learning

  3. Context without Commitment: Robust Dense Correspondence under Non-Rigid Deformation

    Sep 29, 2026Yuzhen He, Sara HomscheidPoint Cloud LearningNon-Rigid Shape Correspondence

    Mannheim Institute for Intelligent Systems in Medicine (MIISM) Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

  4. EquivDP3: A SIM(3)-Invariant Point-Cloud Encoder for Data-Efficient Humanoid Loco-Manipulation

    Sep 29, 2026Abu Hanif Muhammad Syarubany, Chang D. YooHumanoid Loco-ManipulationPoint Cloud Learning

    School of Electrical Engineering Korea Advanced Institute of Science & Technology (KAIST) Daejeon, Republic of Korea

  5. ReLoc: Rethinking Scene Coordinate Regression Architecture for Robust Outdoor LiDAR-based Localization

    Sep 27, 2026Heejoon Moon, Yurim Cho, Je Hyeong HongPoint Cloud LearningLiDAR Localization

    Department of Artificial Intelligence, Hanyang University · Department of Electronic Engineering, Hanyang University

  6. KeyGen: Unsupervised Keypoint based Object-Centric Representations for Category-Level Policy Generalization

    Sep 23, 2026Shuxin Cao, Liquan Wang, Masoud Moghani +2Point Cloud LearningGeneralization in Robotic Manipulation

    Georgia Institute of Technology · University of Toronto

  7. UniPoint: Unified Point-Level Sensor Fusion for Humanoid Locomotion Across Challenging Terrains

    Sep 20, 2026Sicen Li, Zhen Chu, Chao Li +2Humanoid Robot LocomotionPoint Cloud Learning

    College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China · Yunshenchu Technology Co., Ltd., Hangzhou, China · Zhejiang Key Laboratory of Additive Manufacturing Technology and Equipment, Hangzhou, China

  8. FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations

    Sep 17, 2026Kevin Qu, Tao Sun, Massimiliano Viola +5Articulated Object Reconstruction3D ViTs

    Stanford University · ETH Zürich

  9. GAPrompt++: Multi-Granular Geometry-Aware Point Cloud Prompt for 3D Vision Model

    Sep 17, 2026Zixiang Ai, Zhenyu Cui, Yufei Guo +4Point Cloud LearningVision Foundation Model Adaptation

    Wangxuan Institute of Computer Technology, Peking University, Beijing 100871, China · Intelligent Science and Technology Academy of CASIC, Beijing 100041, China · Institute of Software, Chinese Academy of Sciences, Beijing 100190, China +1

  10. Instance Segmentation and Fine-grained Classification for Urban Buildings with Adaptive Region Dividing and Spatially-Supervised Contrastive Learning

    Sep 17, 2026Weiyuan Zhang, Qi Zhang, Hui HuangContrastive LearningPoint Cloud Classification

    Guangdong Provincial Key Laboratory of Visual Media and Multidimensional Intelligence, College of Computer Science and Software Engineering, Shenzhen University

  11. Partition-Invariant Tuning for 3D Scene Understanding

    Sep 14, 2026Hongqiang Lin, Tianle Wang, Shuiwang Li +4Point Cloud LearningParameter-Efficient Fine-Tuning

    ZJU · GUT · THU +3

  12. Beyond Gait: Person Identification from Millimeter-Wave Point Clouds Across Activities of Daily Living

    Sep 8, 2026Xilai Wang, Zixiong Han, Saad Rhanmouni +3Biometric IdentificationPoint Cloud Learning

    Computational Analysis and Applications Research Group, University of Ottawa, Ottawa, ON K1N 6N5, Canada

  13. Heat Field Signatures: From Point Clouds to Smooth Geometry

    Sep 7, 2026Yuanqing Wang, Yapeng Tian, Baris CoskunuzerPoint Cloud LearningGeometric Representation Learning

    Dept. of Math. Sciences University of Texas at Dallas Richardson, TX, USA · Dept. of Computer Science University of Texas at Dallas Richardson, TX, USA

  14. EquiGQNet: Fast Grasp Quality Evaluation via Shared Equivariant Point Cloud Encoding

    Sep 7, 2026Sungwon Seo, Jaeseog Won, Jiyou Shin +5Robotic GraspingPoint Cloud Learning

    The authors are with the Faculty of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, South Korea · The authors are with the Faculty of Intelligent Robotics, Sungkyunkwan University, Suwon 16419, South Korea

  15. Panda Diplomacy: Foundation Model Pre-training across Particle Imaging Detectors for High Energy and Nuclear Physics

    Sep 1, 2026Samuel Young, César Jesús-Valls, Kazuhiro TeraoSelf-Supervised Pre-TrainingPoint Cloud Learning

    Stanford University · Stanford, CA 94305 · European Organization for Nuclear Research (CERN) +3

  16. Motion-Saliency Complementary Masked Modeling for Point Cloud Video Understanding

    Aug 31, 2026Wei Wang, Yiding Sun, Yuyan Wang +4Point Cloud LearningGenerative Modeling

    School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, 710049, China · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518107, China · School of Software Engineering, Xi’an Jiaotong University, Xi’an, 710049, China +4

  17. Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations and Goals

    Aug 29, 2026Fabio F. Oberweger, Michael Schwingshackl, Markus MurschitzWorld Models for RoboticsWorld Model-Based Planning

    AIT Austrian Institute of Technology Assistive & Autonomous Systems

  18. Boundary-Enhanced Segmentation of Pig Point Clouds in Commercial Housing Environments

    Aug 12, 2026Zhankang Xu, Fei Shi, Xiangyu Qi +63D Point Cloud SegmentationPoint Cloud Learning

    a Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China · d Bureau of Agriculture and Rural Affairs of Shangrao City, Jiangxi, China · c School of Science, China University of Geosciences (Beijing), Beijing 100083, China +1

  19. Vernata: Self-Supervised Learning of LiDAR Point Representations

    Aug 7, 2026Oliver Lemke, Alexander Liniger, Abel Gawel +1Self-Supervised LearningSelf-Supervised Pre-Training

    1Robotics and AI Institute · 2ETH Zurich

  20. Learning Biomechanically Plausible Human Motion from Sparse Radar Point Clouds

    Aug 4, 2026Jonas Leo Mueller, Markus Gambietz, Alexander Weiss +2HealthcarePoint Cloud Learning

    Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Chair of AI-supported Therapy Decisions, Ludwig-Maximilians-Universität München, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany +2

  21. Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning

    Aug 3, 2026Monan Sun, Bangzhen Liu, Huaidong Zhang +1Point Cloud Learning3D Shape Generation

    South China University of Technology, China · University of Chinese Academy of Sciences, China · Singapore Management University, Singapore +1

  22. SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp

    Jul 31, 2026Nawazish Khan, Sanjay Bhandari, Sarang Joshi +8Point Cloud LearningStatistical Shape Modeling

    Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA · Kahlert School of Computing, University of Utah, Salt Lake City, UT 84112, USA · Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA +1

  23. On the Efficacy of Self-Supervised Point Cloud Encoders for Efficient 3D Large Language Models

    Jul 31, 2026Yao Zheng, Tian ZhangSelf-Supervised Pre-TrainingPoint Cloud Learning

    Beijing University of Posts and Telecommunications

  24. Parameter-Efficient Fine-Tuning for Spiking Point Cloud Models

    Jul 31, 2026Zihao Guo, Jihua Zhu, Yiding Sun +2Point Cloud LearningSpiking Neural Networks

    Xi’an Jiaotong University · Nanyang Technological University

  25. Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds

    Jul 30, 2026Hongbo Li, Haikuan Zhu, Xiaohu Guo +33D ReconstructionPoint Cloud Learning

    Department of Computer Science, Wayne State University, Detroit, USA · Department of Computer Science, Univeristy of Texas at Dallas, USA · Department of Computer Science & Engineering, Texas A&M University, USA

  26. PrintAnything: Learning an Intermediate Representation for 3D printing G-code Generation

    Jul 30, 2026Sangmin Hong, Daniel Sungho Jung, Heewon Kim +1Point Cloud LearningCode Generation

    IPAI, Seoul National University, Seoul, Korea · Soongsil University, Seoul, Korea · Kairoba Inc. +1

  27. RODR: Riemannian Orthogonally Decoupled Regularization for Disentangled Manifold Representation

    Jul 27, 2026Jiayu Zhu, Wenlai ZhaoRiemannian OptimizationPoint Cloud Learning

    Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

  28. Data-Driven Diffusion Processes on Differential Forms via the Projected Ambient Connection Laplacian

    Jul 25, 2026Alvaro Almeida Gomez, Jorge Duque FrancoPoint Cloud LearningManifold Learning

    Centro de Modelamiento Matemático (CNRS IRL 2807), Universidad de Chile, Beaucheff 851, Santiago, Chile · Dirección de Investigación, Vicerrectoría Académica, Instituto de Matemáticas, Universidad de Talca, Casilla 721, Talca, Chile

  29. Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet

    Jul 23, 2026Geran Zhao, Xiaotian Li, Poorya Chavoshnejad +4Point Cloud LearningNeuroimaging

    Department of Mathematics and Statistics, Binghamton University, Vestal, NY 13902, USA · School of Computing, Binghamton University, Vestal, NY 13850, USA · Department of Mechanical Engineering, Binghamton University, Vestal, NY 13850, USA

  30. TOLiD: Bridging the Architecture Gap in Vision Foundation Model to LiDAR Pretraining via Token Lifting for Distillation

    Jul 12, 2026Sutharsan Mahendran, Darshana Priyasad, Kaushik Roy +4Cross-Modal Knowledge DistillationSelf-Supervised Learning

    SAIVT Group, School of Electrical Engineering and Robotics, Queensland University of Technology, Australia. · CSIRO Robotics, CSIRO, Australia.

  31. Annotation-Free Furniture Codes: What They Encode, and How Far They Transfer

    Jul 11, 2026Benjamin FriedmanPoint Cloud Learning3D Representation Learning

    DLR Group

  32. SuperFlex: Deformable Superquadrics for Point Cloud Decomposition

    Jul 1, 2026Gabriel Tavernini, Elisabetta Fedele, Tiago Novello +33D ReconstructionPoint Cloud Learning

    1ETH Zurich · 2Stanford University · 3IMPA +1

  33. Cross4D-JEPA: Dense Cross-modal Correspondence Distillation for 4D Point Cloud Representation Learning

    Jul 1, 2026Trung Thanh Nguyen, Hai Nguyen-Truong, Tu Vo +2Cross-Modal Knowledge DistillationPoint Cloud Learning

    Nagoya University, Japan · Northeastern University, USA · KC Machine Learning Lab, Korea +2

  34. FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data

    Jun 30, 2026Emilie Vautier, Clément Mallet, Cédric VegaPoint Cloud LearningRemote Sensing

    Univ Gustave Eiffel, Géodata Paris, IGN, LASTIG, F-77454 Marne-la-Vallée, France · Univ Gustave Eiffel, Géodata Paris, IGN, LIF, F-54000, Nancy, France · Université de Lorraine, Géodata Paris, IGN, LIF, F-54000 Nancy, France

  35. Mitigating Positional Leakage in 3D Masked Autoencoders for Robust Representation Learning

    Jun 30, 2026Xu Yan, Huiqun Wang, Chen Wang +2Masked AutoencodersPoint Cloud Learning

    SKLCCSE, Beihang University, Beijing, China · SCSE, Beihang University, Beijing, China · NERCBDS, EIRI, Tsinghua University, Beijing, China +1

  36. A Point Cloud Transformer for Remote Monitoring and Automated Assessment of Physical Rehabilitation Exercises

    Jun 29, 2026Kazi Rafat, Md. Ismail Hossain, M M Lutfe Elahi +43D ViTsHealthcare

    Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh · Apurba Technologies Limited, Dhaka, Bangladesh

  37. PinNet: Keypoint-Aware Learned Local Descriptors with Geometric Embedding for Loop Closure in LiDAR SLAM

    Jun 26, 2026Yanlong Ma, Nakul S. Joshi, Christa S. Robison +2Simultaneous Localization and MappingRepresentation Learning

    University of California, Los Angeles, Los Angeles, CA, USA. · DEVCOM Army Research Laboratory (ARL), Adelphi, MD, USA.

  38. Learning Motion Feasibility from Point Clouds in Cluttered Environments

    Jun 25, 2026Sajid Ansari, Arthi, Girish Varma +1Robotic GraspingPoint Cloud Learning

    International Institute of Information Technology Hyderabad Hyderabad 500032, India.

  39. Rotation-Aware Point-Cloud Embeddings for Vision-Based In-Hand Reorientation

    Jun 19, 2026Yashom Dighe, Karthik DantuDexterous ManipulationPoint Cloud Learning

    Dept. of Computer Science and Engineering University at Buffalo

  40. Point-Cloud-Assistant Localized Statistical Channel Prediction by Tangent Gaussian Splatting

    Jun 17, 2026Ye Xue, Yiheng Wang, Xinhua Shao +3Point Cloud LearningWireless Communications

  41. Aerial-ground LiDAR place recognition with patch-level self-supervised learning and expanded reciprocal re-ranking

    Jun 17, 2026Yandi Yang, Xianghong Zou, Jianping Li +4LiDAR Place RecognitionLearning to Rank

    Department of Geomatics Engineering, University of Calgary, Calgary, T2N 1N4, Canada · School of Advanced Manufacturing, Nanchang University, Nanchang, 330031, China · School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore +1

  42. A Hybrid Optimization Framework for Grasp Synthesis under Partial Observations

    Jun 16, 2026Wenzheng Zhang, Fahira Afzal Maken, Tin Lai +1Robotic GraspingPoint Cloud Learning

    School of Computer Science, The University of Sydney, Australia · Data61, CSIRO, Australia · NVIDIA, USA

  43. Point Cloud Upsampling through Patch-based Frequency Superposition

    Jun 12, 2026Marina Ritthaler, Azhar Hussian, Vasileios Belagiannis +13D ReconstructionPoint Cloud Learning

    Chair of Multimedia Communications and Signal Processing Friedrich-Alexander-University Erlangen-Nuremberg Erlangen, Germany

  44. S23DR 2026: End-to-End 3D Wireframe Prediction via DETR-Style Set Prediction with Contrastive Denoising

    Jun 12, 2026Nitiz Khanal3D ReconstructionPoint Cloud Learning

    Pulchowk Campus, Lalitpur, Nepal

  45. MAMVI: 3D Test-Time Adaptation via Masked Multi-View Point Clouds

    Jun 11, 2026Inseok Kong, Geunyoung Jung, Jiyoung JungTest-Time AdaptationPoint Cloud Classification

    Department of Geo Informatics, University of Seoul · Department of Artificial Intelligence, University of Seoul

  46. Fourier Features Let Agents Learn High Precision Policies with Imitation Learning

    Jun 10, 2026Balázs Gyenes, Emiliyan Gospodinov, Jan Frieling +5Fourier Feature EmbeddingsRobot Skill Learning

    Autonomous Learning Robots, Karlsruhe Institute of Technology, Germany · HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany

  47. DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds

    Jun 10, 2026Weirong Chen, Keisuke Tateno, Hidenobu Matsuki +3Point Cloud Completion4D Reconstruction

    TU Munich · Google · Munich Center for Machine Learning

  48. PT-WNO: Point Transformer with Wavelet Neural Operator for 3D Point Cloud Semantic Segmentation

    Jun 9, 2026Nhut Le, Maryam Rahnemoonfar3D Point Cloud Segmentation3D ViTs

    Lehigh University Bethlehem, Pennsylvania, USA

  49. SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation

    Jun 9, 2026Joschka Birk, Frank Gaede, Anna Hallin +3TransformerPoint Cloud Learning

    Institute for Experimental Physics, Universität Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany · Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, Germany

  50. Efficient RWKV-based Representation Learning for 3D Point Clouds

    Jun 9, 2026Yun Liu, Xuefeng Yan, Liangliang Nan +5Point Cloud Learning3D Representation Learning

    School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China · Shenzhen Institute of Research, Nanjing University of Aeronautics and Astronautics, Shenzhen, China · Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China +2

  51. A Cross-view Fusion Framework for Robust 6-DoF Grasp Pose Estimation

    Jun 5, 2026Kangjian Zhu, Haobo Jiang, Jianjun Qian +1Robotic GraspingPoint Cloud Learning

    Nanjing University of Science and Technology · Nanyang Technological University · Nanjing University

  52. RadiusFPS: Efficient Farthest Point Sampling on CPUs and GPUs via Spherical Voxel Pruning

    Jun 4, 2026Ziyang Yu, Xiang Li, Qiong Chang +1GPU AccelerationPoint Cloud Learning

    School of Computing Institute of Science Tokyo Tokyo

  53. SRENet: Spectral Re-Entry Network for Point Cloud Action Recognition

    Jun 2, 2026Qiuxia Wu, Jiarui Lan, Wenxiong Kang +2Frequency-Domain Feature LearningPoint Cloud Learning

    School of Software Engineering, South China University of Technology, Guangzhou 511400, China · School of Automation Science and Engineering, South China University of Technology, Guangzhou 511400, China · School of Computer Science, University of Sydney, Sydney, NSW 2006, Australia +1

  54. Paving the Way for Point Cloud Video Representation Learning Using A PDE Model

    Jun 1, 2026Zhuoxu Huang, Zhenkun Fan, Jungong Han +1Point Cloud LearningVideo Representation Learning

    Department of Computer Science, Aberystwyth University, Aberystwyth SY23 3DB, U.K. · Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China · Department of Electrical Engineering, Surrey University, Surrey GU2 7XH, U.K.

  55. Eyes All Around: Design and Analysis of 360-Degree LiDAR Perception Using Equivariant Feature Learning in Unstructured Traffic

    May 30, 2026Pranav Darshan, Raghuveer Narayanan Rajesh, M Uttara KumariLidar-Based 3D Object DetectionPoint Cloud Learning

    Department of Computer Science and Engineering RV College of Engineering, Bengaluru 560059, India · Department of Electronics and Communication Engineering RV College of Engineering, Bengaluru 560059, India

  56. ESAM++: Efficient Online 3D Perception on the Edge

    May 28, 2026Qin Liu, Lavisha Aggarwal, Saptarashmi Bandyopadhyay +4Edge InferencePoint Cloud Learning

    Stanford University · Google · UC San Diego

  57. SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoising

    May 26, 2026Chengwei Zhang, Xueyi Zhang, Tao Jiang +4Unsupervised LearningPoint Cloud Learning

    National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China · School of Computing, National University of Singapore, Singapore

  58. PQDT: Pseudo-Query Dual Transformer for Robust Point Cloud Restoration

    May 24, 2026Haoqing Wu, Alexa Nawotki, Jochen GarckePoint Cloud Completion3D ViTs

    Mercedes-Benz AG, Germany · University of Bonn, Germany · Fraunhofer SCAI, Germany

  59. Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds

    May 23, 2026Zherui Yang, Tao Du, Ligang LiuPoint Cloud LearningGeometric Representation Learning

    University of Science and Technology of China, China · Tsinghua University, China · Shanghai Qi Zhi Institute, China +1

  60. PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction

    May 20, 2026Shizhe Chen, Paul Pacaud, Cordelia SchmidLanguage-Conditioned Robot ManipulationPoint Cloud Learning

    Inria, ´Ecole normale sup´erieure, CNRS, PSL Research University