Adrien Poulenard

5 papers · 2021–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

CVPR (4) ICCV (1)

Top co-authors

Leonidas J. Guibas (3) Srinath Sridhar (3) Rahul Sajnani (3) Jeong Joon Park (1) Madhava Krishna (1) Andrea Tagliasacchi (1) Leonidas Guibas (1) Radhika Dua (1) Yueqi Duan (1) Rohith Agaram (1)

Research topics

Deep Learning (5) Computer Vision (4) Analysis (4) Architectures (3) Machine Learning (2) Learning Types · Deep Learning (2) Core AI (1) Core Methods (1) Generation (1) Learning Types · Machine Learning (1) Models (1) Optimization & Theory (1) Techniques (1)

Keywords

rotation equivariance (3) self-supervised learning (2) equivariant network (2) point cloud analysis (1) geometric deep learning (1) diffusion model (1) neural radiance field (1) spherical harmonics (1) neural field (1) 3d pose (1) point cloud processing (1) 3d scene (1) siamese network (1) 3d computer vision (1) 3d shape analysis (1) 3d deep learning (1) object rearrangement (1) tensor field network (1) equivariant nonlinearity (1) pose canonicalization (1)

Papers

Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields CVPR 2023 LEGO-Net: Learning Regular Rearrangements of Objects in Rooms CVPR 2023 ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes CVPR 2022 A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR 2021 Vector Neurons: A General Framework for SO(3)-Equivariant Networks ICCV 2021