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06/29/2021
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
We tackle the problem of discovering novel classes in an image collectio...
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07/16/2020
D2D: Learning to find good correspondences for image matching and manipulation
We propose a new approach to determining correspondences between image p...
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07/02/2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
We present RELATE, a model that learns to generate physically plausible ...
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06/17/2020
LSD-C: Linearly Separable Deep Clusters
We present LSD-C, a novel method to identify clusters in an unlabeled da...
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02/13/2020
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
We tackle the problem of discovering novel classes in an image collectio...
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05/26/2019
Unsupervised Intuitive Physics from Past Experiences
We are interested in learning models of intuitive physics similar to the...
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05/21/2019
Semi-Supervised Learning with Scarce Annotations
While semi-supervised learning (SSL) algorithms provide an efficient way...
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04/01/2019
Deep Industrial Espionage
The theory of deep learning is now considered largely solved, and is wel...
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05/21/2018
Small steps and giant leaps: Minimal Newton solvers for Deep Learning
We propose a fast second-order method that can be used as a drop-in repl...
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05/14/2018
Unsupervised Intuitive Physics from Visual Observations
While learning models of intuitive physics is an increasingly active are...
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12/22/2017
Taking Visual Motion Prediction To New Heightfields
While the basic laws of Newtonian mechanics are well understood, explain...
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06/06/2017
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation
While the basic laws of Newtonian mechanics are well understood, explain...
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03/07/2017
Stopping GAN Violence: Generative Unadversarial Networks
While the costs of human violence have attracted a great deal of attenti...
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03/01/2017
