Publication

Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity

Publications associées (32)

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

Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity

Graph Chatbot

Chattez avec Graph Search

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

SIPS: Unsupervised Succinct Interest Points

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Mean-Field methods for Structured Deep-Learning in Computer Vision

Real-Time Seamless Single Shot 6D Object Pose Prediction

Real-Time Seamless Single Shot 6D Object Pose Prediction

Wasserstein Distributionally Robust Kalman Filtering

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion

SIPS: Unsupervised Succinct Interest Points

Wasserstein Distributionally Robust Kalman Filtering

Real-Time Seamless Single Shot 6D Object Pose Prediction

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Mean-Field methods for Structured Deep-Learning in Computer Vision

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Real-Time Seamless Single Shot 6D Object Pose Prediction

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay