research
∙
07/20/2023
Kick Back Relax: Learning to Reconstruct the World by Watching SlowTV
Self-supervised monocular depth estimation (SS-MDE) has the potential to...
share
research
∙
07/18/2023
Learning Adaptive Neighborhoods for Graph Neural Networks
Graph convolutional networks (GCNs) enable end-to-end learning on graph ...
research
∙
04/20/2023
A data augmentation perspective on diffusion models and retrieval
Diffusion models excel at generating photorealistic images from text-que...
research
∙
04/14/2023
The Second Monocular Depth Estimation Challenge
This paper discusses the results for the second edition of the Monocular...
research
∙
03/28/2023
Novel View Synthesis of Humans using Differentiable Rendering
We present a new approach for synthesizing novel views of people in new ...
research
∙
02/26/2023
Efficient fair PCA for fair representation learning
We revisit the problem of fair principal component analysis (PCA), where...
research
∙
02/05/2023
The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default
In recent years fairness in machine learning (ML) has emerged as a highl...
research
∙
01/12/2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Recent years have seen a surge of interest in learning high-level causal...
research
∙
11/22/2022
The Monocular Depth Estimation Challenge
This paper summarizes the results of the first Monocular Depth Estimatio...
research
∙
08/02/2022
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
This paper presents an open and comprehensive framework to systematicall...
research
∙
07/19/2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Since out-of-distribution generalization is a generally ill-posed proble...
research
∙
07/08/2022
Pixel-level Correspondence for Self-Supervised Learning from Video
While self-supervised learning has enabled effective representation lear...
research
∙
04/09/2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
We show that deep neural networks that satisfy demographic parity do so ...
research
∙
04/06/2022
"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping
Estimating a semantically segmented bird's-eye-view (BEV) map from a sin...
research
∙
03/09/2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
Algorithmic fairness is frequently motivated in terms of a trade-off in ...
research
∙
11/24/2021
Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering
We present a new approach for synthesizing novel views of people in new ...
research
∙
10/03/2021
Translating Images into Maps
We approach instantaneous mapping, converting images to a top-down view ...
research
∙
07/17/2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
An important component for generalization in machine learning is to unco...
research
∙
05/07/2021
Pairwise Fairness for Ordinal Regression
We initiate the study of fairness for ordinal regression, or ordinal cla...
research
∙
11/10/2020
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes
We present a novel form of explanation for Reinforcement Learning, based...
research
∙
05/12/2020
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI
This article identifies a critical incompatibility between European noti...
research
∙
01/21/2020
Adequate and fair explanations
Explaining sophisticated machine-learning based systems is an important ...
research
∙
12/19/2019
Adversarial Perturbations on the Perceptual Ball
We present a simple regularisation of Adversarial Perturbations based up...
research
∙
09/13/2019
Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency
We present a novel data-driven regularizer for weakly-supervised learnin...
research
∙
07/23/2019
U4D: Unsupervised 4D Dynamic Scene Understanding
We introduce the first approach to solve the challenging problem of unsu...
research
∙
01/02/2019
Efficient Search for Diverse Coherent Explanations
This paper proposes new search algorithms for counterfactual explanation...
research
∙
11/04/2018
Explaining Explanations in AI
Recent work on interpretability in machine learning and AI has focused o...
research
∙
08/04/2018
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture
We propose a CNN-based approach for multi-camera markerless motion captu...
research
∙
07/18/2018
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices
When an individual purchases a home, they simultaneously purchase its st...
research
∙
06/06/2018
Causal Interventions for Fairness
Most approaches in algorithmic fairness constrain machine learning metho...
research
∙
05/15/2018
Causal Reasoning for Algorithmic Fairness
In this work, we argue for the importance of causal reasoning in creatin...
research
∙
01/10/2018
Worst-case Optimal Submodular Extensions for Marginal Estimation
Submodular extensions of an energy function can be used to efficiently c...
research
∙
11/01/2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
There has been much discussion of the right to explanation in the EU Gen...
research
∙
08/04/2017
Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading
We demonstrate the use of shape-from-shading (SfS) to improve both the q...
research
∙
05/22/2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Deep generative models provide powerful tools for distributions over com...
research
∙
03/20/2017
Counterfactual Fairness
Machine learning can impact people with legal or ethical consequences wh...
research
∙
01/01/2017
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
We propose a unified formulation for the problem of 3D human pose estima...
research
∙
11/13/2015
Solving Jigsaw Puzzles with Linear Programming
We propose a novel Linear Program (LP) based formula- tion for solving j...
research
∙
09/09/2014
F-formation Detection: Individuating Free-standing Conversational Groups in Images
Detection of groups of interacting people is a very interesting and usef...
research
∙
03/15/2012
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts
Markov Networks are widely used through out computer vision and machine ...
research
∙
09/11/2011
