Publication

Structured Prediction of 3D Human Pose with Deep Neural Networks

Related publications (76)

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.

Structured Prediction of 3D Human Pose with Deep Neural Networks

Graph Chatbot

Chat with Graph Search

Crowding and the Architecture of the Visual System

The Unstoppable Rise of Computational Linguistics in Deep Learning

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Deep learning-based reduced order models in cardiac electrophysiology

Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states

Graph-to-Graph Transformer for Transition-based Dependency Parsing

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

Evaluating the search phase of neural architecture search

Biologically plausible deep learning – but how far can we go with shallow networks?

Segmentation-driven 6D Object Pose Estimation