Andrea Vedaldi

According to our database1, Andrea Vedaldi authored at least 169 papers between 2005 and 2020.

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Bibliography

2020
Capturing the Geometry of Object Categories from Video Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Deep Image Prior.
Int. J. Comput. Vis., 2020

Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction.
CoRR, 2020

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces.
CoRR, 2020

Labelling unlabelled videos from scratch with multi-modal self-supervision.
CoRR, 2020

Automatic Recall Machines: Internal Replay, Continual Learning and the Brain.
CoRR, 2020

LSD-C: Linearly Separable Deep Clusters.
CoRR, 2020

Monocular Depth Estimation with Self-supervised Instance Adaptation.
CoRR, 2020

Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation.
CoRR, 2020

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives.
CoRR, 2020

Fixing the train-test resolution discrepancy: FixEfficientNet.
CoRR, 2020

Multi-modal Self-Supervision from Generalized Data Transformations.
CoRR, 2020

Automatically Discovering and Learning New Visual Categories with Ranking Statistics.
Proceedings of the 8th International Conference on Learning Representations, 2020

Self-labelling via simultaneous clustering and representation learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

A critical analysis of self-supervision, or what we can learn from a single image.
Proceedings of the 8th International Conference on Learning Representations, 2020

Vggsound: A Large-Scale Audio-Visual Dataset.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Transferring Dense Pose to Proximal Animal Classes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

There and Back Again: Revisiting Backpropagation Saliency Methods.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Semi-Supervised Learning with Scarce Annotations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Explanations for Attributing Deep Neural Network Predictions.
Proceedings of the Explainable AI: Interpreting, 2019

Understanding Image Representations by Measuring Their Equivariance and Equivalence.
Int. J. Comput. Vis., 2019

Taking visual motion prediction to new heightfields.
Comput. Vis. Image Underst., 2019

Self-labelling via simultaneous clustering and representation learning.
CoRR, 2019

Occlusions for Effective Data Augmentation in Image Classification.
CoRR, 2019

NormGrad: Finding the Pixels that Matter for Training.
CoRR, 2019

Learning Landmarks from Unaligned Data using Image Translation.
CoRR, 2019

Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images.
CoRR, 2019

Unsupervised Intuitive Physics from Past Experiences.
CoRR, 2019

Surprising Effectiveness of Few-Image Unsupervised Feature Learning.
CoRR, 2019

MultiGrain: a unified image embedding for classes and instances.
CoRR, 2019

Fixing the train-test resolution discrepancy.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-learning with differentiable closed-form solvers.
Proceedings of the 7th International Conference on Learning Representations, 2019

Unsupervised Learning of Landmarks by Descriptor Vector Exchange.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Invariant Information Clustering for Unsupervised Image Classification and Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning to Discover Novel Visual Categories via Deep Transfer Clustering.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Understanding Deep Networks via Extremal Perturbations and Smooth Masks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Future Event Prediction: If and When.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Action Recognition with Dynamic Image Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Invariant Information Distillation for Unsupervised Image Segmentation and Clustering.
CoRR, 2018

Conditional Image Generation for Learning the Structure of Visual Objects.
CoRR, 2018

Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing.
CoRR, 2018

Modelling and unsupervised learning of symmetric deformable object categories.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Unsupervised Learning of Object Landmarks through Conditional Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Emotion Recognition in Speech using Cross-Modal Transfer in the Wild.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning to Read by Spelling: Towards Unsupervised Text Recognition.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Long-Term Tracking in the Wild: A Benchmark.
Proceedings of the Computer Vision - ECCV 2018, 2018

Semi-convolutional Operators for Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Self-supervised Segmentation by Grouping Optical-Flow.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Supervising the New with the Old: Learning SFM from SFM.
Proceedings of the Computer Vision - ECCV 2018, 2018

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking.
Proceedings of the Computer Vision - ECCV 2018, 2018

Efficient Parametrization of Multi-Domain Deep Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MapNet: An Allocentric Spatial Memory for Mapping Environments.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Large scale evaluation of local image feature detectors on homography datasets.
Proceedings of the British Machine Vision Conference 2018, 2018

Inductive Visual Localisation: Factorised Training for Superior Generalisation.
Proceedings of the British Machine Vision Conference 2018, 2018

Tiny People Pose.
Proceedings of the Computer Vision - ACCV 2018, 2018

NightOwls: A Pedestrians at Night Dataset.
Proceedings of the Computer Vision - ACCV 2018, 2018

Cross Pixel Optical-Flow Similarity for Self-supervised Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018

Unsupervised Intuitive Physics from Visual Observations.
Proceedings of the Computer Vision - ACCV 2018, 2018

It Takes (Only) Two: Adversarial Generator-Encoder Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Generalizing Semantic Part Detectors Across Domains.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Editorial- Deep Learning for Computer Vision.
Comput. Vis. Image Underst., 2017

DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images.
CoRR, 2017

Adversarial Generator-Encoder Networks.
CoRR, 2017

Unsupervised object learning from dense equivariant image labelling.
CoRR, 2017

Learning to Represent Mechanics via Long-term Extrapolation and Interpolation.
CoRR, 2017

Learning A Physical Long-term Predictor.
CoRR, 2017

Universal representations: The missing link between faces, text, planktons, and cat breeds.
CoRR, 2017

Unsupervised learning of object frames by dense equivariant image labelling.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning multiple visual domains with residual adapters.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Warped Convolutions: Efficient Invariance to Spatial Transformations.
Proceedings of the 34th International Conference on Machine Learning, 2017

The Visual Object Tracking VOT2017 Challenge Results.
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Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning 3D Object Categories by Looking Around Them.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Interpretable Explanations of Black Boxes by Meaningful Perturbation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

End-to-End Representation Learning for Correlation Filter Based Tracking.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Visualizing Deep Convolutional Neural Networks Using Natural Pre-images.
Int. J. Comput. Vis., 2016

Reading Text in the Wild with Convolutional Neural Networks.
Int. J. Comput. Vis., 2016

Deep Filter Banks for Texture Recognition, Description, and Segmentation.
Int. J. Comput. Vis., 2016

Instance Normalization: The Missing Ingredient for Fast Stylization.
CoRR, 2016

Learning the semantic structure of objects from Web supervision.
CoRR, 2016

ResearchDoom and CocoDoom: Learning Computer Vision with Games.
CoRR, 2016

Integrated perception with recurrent multi-task neural networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning feed-forward one-shot learners.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning the Structure of Objects from Web Supervision.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Salient Deconvolutional Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Covariant Feature Detectors.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Fully-Convolutional Siamese Networks for Object Tracking.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Synthetic Data for Text Localisation in Natural Images.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Weakly Supervised Deep Detection Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Dynamic Image Networks for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fully-trainable deep matching.
Proceedings of the British Machine Vision Conference 2016, 2016

I Have Seen Enough: Transferring Parts Across Categories.
Proceedings of the British Machine Vision Conference 2016, 2016

Learning Grimaces by Watching TV.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
A coarse-to-fine approach for fast deformable object detection.
Pattern Recognit., 2015

Factorized appearances for object detection.
Comput. Vis. Image Underst., 2015

Semantic Part Segmentation with Deep Learning.
CoRR, 2015

Automatic Discovery and Optimization of Parts for Image Classification.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Understanding the Fisher Vector: a multimodal part model.
CoRR, 2015

Deep Structured Output Learning for Unconstrained Text Recognition.
Proceedings of the 3rd International Conference on Learning Representations, 2015

MatConvNet: Convolutional Neural Networks for MATLAB.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Building the View Graph of a Category by Exploiting Image Realism.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Understanding deep image representations by inverting them.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Deep filter banks for texture recognition and segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Deep Face Recognition.
Proceedings of the British Machine Vision Conference 2015, 2015

R-CNN minus R.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
AdaBoost.
Computer Vision, A Reference Guide, 2014

Learning Local Feature Descriptors Using Convex Optimisation.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition.
CoRR, 2014

Deep convolutional filter banks for texture recognition and segmentation.
CoRR, 2014

Deep Features for Text Spotting.
Proceedings of the Computer Vision - ECCV 2014, 2014

Understanding Objects in Detail with Fine-Grained Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Compact and Discriminative Face Track Descriptor.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Describing Textures in the Wild.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Speeding up Convolutional Neural Networks with Low Rank Expansions.
Proceedings of the British Machine Vision Conference, 2014

Return of the Devil in the Details: Delving Deep into Convolutional Nets.
Proceedings of the British Machine Vision Conference, 2014

2013
Fine-Grained Visual Classification of Aircraft.
CoRR, 2013

Deep Fisher Networks for Large-Scale Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Blocks That Shout: Distinctive Parts for Scene Classification.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Fisher Vector Faces in the Wild.
Proceedings of the British Machine Vision Conference, 2013

2012
Efficient Additive Kernels via Explicit Feature Maps.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

On-the-fly specific person retrieval.
Proceedings of the 13th International Workshop on Image Analysis for Multimedia Interactive Services, 2012

Self-similar Sketch.
Proceedings of the Computer Vision - ECCV 2012, 2012

Descriptor Learning Using Convex Optimisation.
Proceedings of the Computer Vision - ECCV 2012, 2012

Sparse kernel approximations for efficient classification and detection.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Cats and dogs.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Pylon Model for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning equivariant structured output SVM regressors.
Proceedings of the IEEE International Conference on Computer Vision, 2011

The truth about cats and dogs.
Proceedings of the IEEE International Conference on Computer Vision, 2011

A coarse-to-fine approach for fast deformable object detection.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

The devil is in the details: an evaluation of recent feature encoding methods.
Proceedings of the British Machine Vision Conference, 2011

2010
Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition.
Proceedings of the Computer Vision: Detection, Recognition and Reconstruction, 2010

Oxford-IIIT TRECVID 2010 - Notebook paper.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Simultaneous Object Detection and Ranking with Weak Supervision.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Vlfeat: an open and portable library of computer vision algorithms.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Generalized RBF feature maps for Efficient Detection.
Proceedings of the British Machine Vision Conference, 2010

2009
Structured output regression for detection with partial truncation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Multiple kernels for object detection.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Class segmentation and object localization with superpixel neighborhoods.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Quick Shift and Kernel Methods for Mode Seeking.
Proceedings of the Computer Vision, 2008

Localizing Objects with Smart Dictionaries.
Proceedings of the Computer Vision, 2008

Relaxed matching kernels for robust image comparison.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Joint data alignment up to (lossy) transformations.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Boosting Invariance and Efficiency in Supervised Learning.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Objects in Context.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Moving Forward in Structure From Motion.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
A Complexity-Distortion Approach to Joint Pattern Alignment.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions.
Proceedings of the Computer Vision, 2006

Local Features, All Grown Up.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

KALMANSAC: Robust Filtering by Consensus.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005


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