Ethics and Creativity in Computer Vision

no code implementations • 6 Dec 2021 • Negar Rostamzadeh, Emily Denton, Linda Petrini

This paper offers a retrospective of what we learnt from organizing the workshop *Ethical Considerations in Creative applications of Computer Vision* at CVPR 2021 conference and, prior to that, a series of workshops on *Computer Vision for Fashion, Art and Design* at ECCV 2018, ICCV 2019, and CVPR 2020.

Ethics

gradSim: Differentiable simulation for system identification and visuomotor control

no code implementations • ICLR 2021 • Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jerome Parent-Levesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler

We consider the problem of estimating an object's physical properties such as mass, friction, and elasticity directly from video sequences.

Friction

Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations

no code implementations • 22 Oct 2020 • Tristan Sylvain, Linda Petrini, R Devon Hjelm

Zero-shot classification is a generalization task where no instance from the target classes is seen during training.

General Classification Representation Learning +1

Locality and compositionality in zero-shot learning

no code implementations • ICLR 2020 • Tristan Sylvain, Linda Petrini, Devon Hjelm

In this work we study locality and compositionality in the context of learning representations for Zero Shot Learning (ZSL).

Representation Learning Zero-Shot Learning