Publications associées à Art environnemental

Learning Decoupled Representations for Human Pose Forecasting

Alexandre Massoud Alahi, Saeed Saadatnejad, Taylor Ferdinand Mordan, Yuejiang Liu, Behnam Parsaeifard

Human pose forecasting involves complex spatiotemporal interactions between body parts (e.g., arms, legs, spine). State-of-the-art approaches use Long Short-Term Memories (LSTMs) or Variational AutoEncoders (VAEs) to solve the problem. Yet, they do not eff ...

IEEE2021

A Large, Finite Permutation of Specific, Discrete Variants: Dan Graham's Children's Pavilion at Chambres d'Amis (1986)

Christophe van Gerrewey

In 1986, Dan Graham participated in Chambres d'Amis in Ghent, Belgium, curated by Jan Hoet as an art exhibition outside of the museum, in individual houses. With the help of a local architect, Graham constructed a glass and steel pavilion in a private gard ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2021

Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking

Pascal Fua, Andrii Maksai

Identity Switching remains one of the main difficulties Multiple Object Tracking (MOT) algorithms have to deal with. Many state-of-the-art approaches now use sequence models to solve this problem but their training can be affected by biases that decrease t ...

IEEE2019

DESIA: A General Framework for Designing Interlocking Assemblies

Mark Pauly, Peng Song

Interlocking assemblies have a long history in the design of puzzles, furniture, architecture, and other complex geometric structures. The key defining property of interlocking assemblies is that all component parts are immobilized by their geometric arran ...

2018

DESIA: A General Framework for Designing Interlocking Assemblies

Mark Pauly, Peng Song

Interlocking assemblies have a long history in the design of puzzles, furniture, architecture, and other complex geometric structures. The key defining property of interlocking assemblies is that all component parts are immobilized by their geometric arran ...

ASSOC COMPUTING MACHINERY2018

Ultrafast ultrasound imaging as an inverse problem: Matrix-free sparse image reconstruction

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Adrien Georges Jean Besson, Rafael Eduardo Carrillo Rangel, Florian Martinez, Marcel Arditi

Conventional ultrasound (US) image reconstruction methods rely on delay-and-sum (DAS) beamforming, which is a relatively poor solution of the image reconstruction problem. An alternative to DAS consists in using iterative techniques which require both an a ...

2017

What Players do with the Ball: A Physically Constrained Interaction Modeling

Pascal Fua, Xinchao Wang, Andrii Maksai

Tracking the ball is critical for video-based analysis of team sports. However, it is difficult, especially in low resolution images, due to the small size of the ball, its speed that creates motion blur, and its often being occluded by players. In this pa ...

2016

Uncomfortable yet Fun Messaging with Chachachat

Denis Gillet, Adrian Christian Holzer, Andrii Vozniuk, Sten Govaerts, Angelo Benedetto

In order to improve user experience and to foster novel ideas, some voices in the HCI community have argued to break fundamental design rules, an approach well known in the art community. In this paper, we use this radical approach to design a playful mobi ...

2015

Anatomical Priors to improve Global Tractography

Jean-Philippe Thiran, Alessandro Daducci, Alia Lemkaddem

The main assumption of fiber-tracking algorithms is that fiber trajectories are represented by paths of highest diffusion, which is usually accomplished by following the principal diffusion directions in every voxel. The state-of-the-art approaches known a ...

2014

Wire Mesh Design

Mark Pauly, Bailin Deng, Akash Garg

We present a computational approach for designing wire meshes, i.e., freeform surfaces composed of woven wires arranged in a regular grid. To facilitate shape exploration, we map material properties of wire meshes to the geometric model of Chebyshev nets. ...

2014