Все публикации

1:01:42

Explaining the Explainable AI: A 2-Stage Approach - Dr. Amit Dhurandhar

1:17:04

Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

1:02:25

A Program to Build E(N)-Equivariant Steerable CNNs

1:35:45

Skillful precipitation nowcasting using deep generative models of radar - Dr. Piotr Mirowski

1:15:20

Canonicalization: Experiments in setting some chairs in order - Prof' Srinath Sridhar

1:16:19

Ivy - Unifying all Machine Learning Frameworks

1:31:50

Sensing Depth with 3D Computer Vision - Dr. Benjamin Busam

1:28:53

Learning 3D Representations from 2D Images

1:17:08

Knowledge Distillation, Model Ensemble and Its Application on Visual Recognition

1:36:46

Efficient Visual Self-Attention

1:20:08

Computer Vision for Driving Scene Understanding

1:20:55

Pairwise shape studies in 3D deep learning

1:12:31

Useful structure constraints in indoor SLAM systems

0:54:32

Graph Neural Networks for Point Cloud Processing

1:17:29

Synthetic Data for Perception in Autonomous Driving

1:08:12

Temporal Super-Resolution using Deep Internal Learning (ECCV 2020)

1:38:09

Instance Association in Multi Camera Views & Unsupervised 3D Shape Completion

1:37:09

Hands-on Workshop: Methods for Data Selection in Autonomous Vehicles

1:17:21

Adversarial Transferability and Beyond

1:42:19

Graph Convolutional Networks in Videos and 3D Point Clouds - Dr. Ali Thabet

1:57:20

Introduction to Photogrammetry and Points2Surf (ECCV 2020)

1:54:17

Putting visual recognition in context

2:00:33

Few-Shot Patch-Based Training - Dr. Ondřej Texler

1:45:13

Compositional Zero-Shot Learning - Dr. Massimiliano Mancini