Publication

Towards Viewpoint Invariant 3D Human Pose Estimation

Publications associées (34)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Towards Viewpoint Invariant 3D Human Pose Estimation

Graph Chatbot

Chattez avec Graph Search

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Crowding and the Architecture of the Visual System

On the Relationship between Self-Attention and Convolutional Layers

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Towards goal-driven deep neural network models to elucidate human arm proprioception

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

Novelty Detection in Convolutional Neural Networks Using Density Forests

Deep Learning Works in Practice. But Does it Work in Theory?

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Towards goal-driven deep neural network models to elucidate human arm proprioception

Crowding and the Architecture of the Visual System

On the Relationship between Self-Attention and Convolutional Layers

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Novelty Detection in Convolutional Neural Networks Using Density Forests

Deep Learning Works in Practice. But Does it Work in Theory?