The Second Workshop on
Structural and Compositional Learning on 3D Data


Jun 18 (Sun) Morning @ CVPR 2023 Vancouver (Canada)


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Welcome and Introductions

Workshop Organizers

[Keynote] Modeling and Learning 3D Structures: Challenges and Our Explorations


Xin Tong (Microsoft Research Asia)

[Keynote] Neural fields for 3D Vision, a MAP perspective


Andrea Tagliasacchi (SFU & Google Brain)
Spotlight Presentations

[Spotlight] Interacting with 3D: Combining Embodiment with 3D Understanding


Kiana Ehsani (Allen Institute for AI)

[Spotlight] Grounding Language Model for Robot Planning in 3D Scenes


Fei Xia (Google Deepmind)

[Spotlight] Machine Learning for 3D Content Creation


Jun Gao (Univ. of Toronto & NVIDIA Research)

[Spotlight] Towards Intuitive 3D Generation and Modeling


Amir Hertz (Tel-Aviv Univ.)

[Spotlight] 3D Shape Analysis with Region Decompositions


Kenny Jones (Brown Univ.)

[Spotlight] Towards Controllable 3D Content Creation by leveraging Geometric Priors


Mikaela Uy (Stanford)

Accepted Paper Presentation

[Keynote] Structured Parametric Models for 3D Perception


Angela Dai (TUM)

BuildingNet Challenge

[Keynote] Object Reasoning for Robot Manipulation


Dieter Fox (UW & NVIDIA Research)

Conclusion & Accepted Paper Poster Section

Contact Info

E-mail: kmo@nvidia.com

Acknowledgements

Website template borrowed from: https://futurecv.github.io/ (Thanks to Deepak Pathak)