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07/14/2023
CoTracker: It is Better to Track Together
Methods for video motion prediction either estimate jointly the instanta...
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06/13/2023
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data
We present Viewset Diffusion: a framework for training image-conditioned...
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04/20/2023
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
We present Farm3D, a method to learn category-specific 3D reconstructors...
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04/06/2023
Training-Free Layout Control with Cross-Attention Guidance
Recent diffusion-based generators can produce high-quality images based ...
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02/21/2023
PC^2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
Reconstructing the 3D shape of an object from a single RGB image is a lo...
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02/21/2023
RealFusion: 360° Reconstruction of Any Object from a Single Image
We consider the problem of reconstructing a full 360 photographic model ...
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10/21/2022
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns
We propose a new approach to learn to segment multiple image objects wit...
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05/16/2022
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion
Motion, measured via optical flow, provides a powerful cue to discover a...
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12/08/2021
Audio-Visual Synchronisation in the wild
In this paper, we consider the problem of audio-visual synchronisation a...
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10/12/2021
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
The ability to identify whether or not a test sample belongs to one of t...
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09/27/2021
PASS: An ImageNet replacement for self-supervised pretraining without humans
Computer vision has long relied on ImageNet and other large datasets of ...
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07/22/2021
DOVE: Learning Deformable 3D Objects by Watching Videos
Learning deformable 3D objects from 2D images is an extremely ill-posed ...
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06/09/2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
In video transformers, the time dimension is often treated in the same w...
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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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04/29/2020
VGGSound: A Large-scale Audio-Visual Dataset
Our goal is to collect a large-scale audio-visual dataset with low label...
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04/07/2020
Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation
We propose a method for building large collections of human poses with f...
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03/18/2020
Fixing the train-test resolution discrepancy: FixEfficientNet
This note complements the paper "Fixing the train-test resolution discre...
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03/09/2020
Multi-modal Self-Supervision from Generalized Data Transformations
Self-supervised learning has advanced rapidly, with several results beat...
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08/16/2018
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
Obtaining large, human labelled speech datasets to train models for emot...
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11/29/2017
Deep Image Prior
Deep convolutional networks have become a popular tool for image generat...
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05/22/2017
Learning multiple visual domains with residual adapters
There is a growing interest in learning data representations that work w...
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12/20/2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
This paper addresses the visualisation of image classification models, l...
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11/14/2013
