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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. 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

  2. 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.

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

    Jul 11, 2026Benjamin FriedmanPoint Cloud Learning3D Representation Learning

    DLR Group

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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.

  10. 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.

  11. 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

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

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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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.

  27. 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

  28. 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

  29. 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

  30. 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