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Poster
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Tue 14:00
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Rethinking the compositionality of point clouds through regularization in the hyperbolic space
Antonio Montanaro · Diego Valsesia · Enrico Magli
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Poster
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Tue 14:00
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Learning Generalizable Part-based Feature Representation for 3D Point Clouds
Xin Wei · Xiang Gu · Jian Sun
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Workshop
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Insight into cloud processes from unsupervised classification with a rotation-invariant autoencoder
Takuya Kurihana · James Franke · Ian Foster · Ziwei Wang · Elisabeth Moyer
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Workshop
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Stress-Testing Point Cloud Registration on Automotive LiDAR
Amnon Drory · Raja Giryes · Shai Avidan
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Workshop
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A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation
Lokesh Veeramacheneni · Matias Valdenegro-Toro
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Poster
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P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Ziyi Wang · Xumin Yu · Yongming Rao · Jie Zhou · Jiwen Lu
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Workshop
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Graph Structure from Point Clouds: Geometric Attention is All You Need
Daniel Murnane
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Affinity Workshop
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Object Segmentation of Cluttered Airborne LiDAR Point Clouds
Mariona Carós · Ariadna Just · Santi Seguí · Jordi Vitria
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Poster
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Wed 14:00
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OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds
Ziyang Song · Bo Yang
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Workshop
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SeLCA: Self-Supervised Learning of Canonical Axis
Seungwook Kim · Yoonwoo Jeong · Chunghyun Park · Jaesik Park · Minsu Cho
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Workshop
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Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift
Patrick Müller · Alexander Braun · Margret Keuper
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Poster
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Thu 14:00
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Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Shizhen Zhao · Xiaojuan Qi
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