Search Results for author: Gregory Rogez

Found 14 papers, 2 papers with code

MonoNHR: Monocular Neural Human Renderer

no code implementations2 Oct 2022 Hongsuk Choi, Gyeongsik Moon, Matthieu Armando, Vincent Leroy, Kyoung Mu Lee, Gregory Rogez

Existing neural human rendering methods struggle with a single image input due to the lack of information in invisible areas and the depth ambiguity of pixels in visible areas.

Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images

no code implementations22 Dec 2021 Thomas Lucas, Philippe Weinzaepfel, Gregory Rogez

We propose a method to leverage self-supervised methods that provides training signal in the absence of confident pseudo-labels.

pseudo label

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

1 code implementation17 Dec 2020 Jens Lundell, Enric Corona, Tran Nguyen Le, Francesco Verdoja, Philippe Weinzaepfel, Gregory Rogez, Francesc Moreno-Noguer, Ville Kyrki

While there exists many methods for manipulating rigid objects with parallel-jaw grippers, grasping with multi-finger robotic hands remains a quite unexplored research topic.

Progressive Skeletonization: Trimming more fat from a network at initialization

1 code implementation ICLR 2021 Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Gregory Rogez, Puneet K. Dokania

Recent studies have shown that skeletonization (pruning parameters) of networks \textit{at initialization} provides all the practical benefits of sparsity both at inference and training time, while only marginally degrading their performance.

The Open World of Micro-Videos

no code implementations31 Mar 2016 Phuc Xuan Nguyen, Gregory Rogez, Charless Fowlkes, Deva Ramanan

Micro-videos are six-second videos popular on social media networks with several unique properties.

TAG Video Understanding

Understanding Everyday Hands in Action From RGB-D Images

no code implementations ICCV 2015 Gregory Rogez, James S. Supancic III, Deva Ramanan

We analyze functional manipulations of handheld objects, formalizing the problem as one of fine-grained grasp classification.

First-Person Pose Recognition Using Egocentric Workspaces

no code implementations CVPR 2015 Gregory Rogez, James S. Supancic III, Deva Ramanan

In egocentric views, hands and arms are observable within a well defined volume in front of the camera.

Pose Estimation

Egocentric Pose Recognition in Four Lines of Code

no code implementations29 Nov 2014 Gregory Rogez, James S. Supancic III, Deva Ramanan

We tackle the problem of estimating the 3D pose of an individual's upper limbs (arms+hands) from a chest mounted depth-camera.

Pose Estimation

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