works on

From the 1 of 2.5k papers with an AI index.

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20022026
most citedQuantum ESPRESSO: a modular and open-source software project for quantum simulations of materials

29.3k citations

Showing 2019 · cs.CVShow all

10 papers · 2 filters

cs.CV2019★ 314 cited

Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

Danfeng Hong, Xin Wu, Pedram Ghamisi +3

Up to the present, an enormous number of advanced techniques have been developed to enhance and extract the spatially semantic information in hyperspectral image processing and ana…

cs.CV2019★ 1 cited

Recognizing Manipulation Actions from State-Transformations

Nachwa Aboubakr, James L. Crowley, Remi Ronfard

Manipulation actions transform objects from an initial state into a final state. In this paper, we report on the use of object state transitions as a mean for recognizing manipulat…

cs.CV2019

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs

Javad Amirian, Jean-Bernard Hayet, Julien Pettre

This paper proposes a novel approach for predicting the motion of pedestrians interacting with others. It uses a Generative Adversarial Network (GAN) to sample plausible prediction…

cs.CV2019★ 66 cited

Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video

Zongmian Li, Jiri Sedlar, Justin Carpentier +3

In this paper, we introduce a method to automatically reconstruct the 3D motion of a person interacting with an object from a single RGB video. Our method estimates the 3D poses of…

cs.CV2019★ 1 cited

Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm

Florian Strub, Marie-Agathe Charpagne, Tresa M. Pollock

In materials science and particularly electron microscopy, Electron Back-scatter Diffraction (EBSD) is a common and powerful mapping technique for collecting local crystallographic…

cs.CV2019★ 1 cited

Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View

Benoit Massé, Stéphane Lathuilière, Pablo Mesejo +1

In this paper we address the problems of detecting objects of interest in a video and of estimating their locations, solely from the gaze directions of people present in the video.…