Publication

Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

Related publications (52)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

Graph Chatbot

Chat with Graph Search

Learning to Find Good Correspondences

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Color Representation in Deep Neural Networks

Webly Supervised Semantic Segmentation

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

Recurrent Convolutional Neural Networks for Scene Labeling

Max-pooling convolutional neural networks for vision-based hand gesture recognition

Large-Scale Image Segmentation with Convolutional Networks

Learning to Find Good Correspondences

Large-Scale Image Segmentation with Convolutional Networks

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

Recurrent Convolutional Neural Networks for Scene Labeling

Webly Supervised Semantic Segmentation

Max-pooling convolutional neural networks for vision-based hand gesture recognition

Color Representation in Deep Neural Networks

Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model