3DGV Seminar: Andrew Davison - Representations and Computational Patterns in Spatial AI

(1:25:25)

3DGV Seminar: Qixing Huang - Uncertainties in Geometric Representations

(1:23:55)

3DGV Seminar: Daniel Ritchie -- Neurosymbolic generative models for structured visual content

(1:26:)

3DGV Seminar: Leonidas Guibas - Joint Learning over Geometric Data

(1:29:10)

3DGV Seminar: Jiajun Wu -- Integrating Learning and Graphics for 3D Scene Understanding

(1:16:51)

3DGV Seminar: Saurabh Gupta - Representations for Visual Navigation and How to Train Them

(1:19:20)

3DGV Seminar: Xin Tong (MSRA) : Learning the space of 3D shapes: some challenges and our exploration

(1:35:32)

3DGV Seminar: Hui Huang - Reconstructing Transparent Objects

(1:22:20)

3DGV Seminar: Shuran Song - Unfolding the Unseen: 3D Perception for Manipulating Deformable Cloth

(1:23:48)

3DGV Seminar: Niloy Mitra - Deep 3D Generative Modeling

(1:30:43)

3DGV Seminar: Maks Ovsjanikov --- Robust and Efficient Geometric DL for Non-Rigid Shape Processing

(1:52:30)

Compactness, Symmetry, and Functionality: An Evolution to 3D Shape Understanding and Representation

(1:35:10)

3DGV Seminar: Siddhartha Chaudhuri - Conditional Detailization

(1:23:46)

3DGV Seminar: Gim Hee Lee -- Non-strongly supervised learning for 3D Vision

(1:20:24)

3DGV Seminar: Daniele Panozzo - Large Scale Geometry Processing for Geometric Deep Learning

(1:26:20)

3DGV Seminar: Takeo Igarashi - Human-in-the-loop Computational Design

(1:24:50)

3DGV Seminar: Hao Su - Compositional Generalizability for Geometry and Policy Learning

(1:21:12)

3DGV Seminar: Yaron Lipman --- Unifying Implicit Neural Representations

(1:27:51)