Andrea Vedaldi
137 papers · 2006–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (8)
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Interdisciplinary Bridge
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Academic Marathon
(19)
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Renaissance Researcher
(8)
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Conference Loyalist
(29)
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Keyword Trendsetter Combo
(12)
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Dynamic Duo
(26)
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Topic Pioneer
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Topic Evolution
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Deep Specialist
(43)
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Keyword Champion
(3)
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Unstoppable
(13)
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Conference Pioneer
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Prolific Year
(18)
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Keyword Collector
(487)
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The Questioner
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Century Club
(137)
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Trend Setter
Conferences
CVPR (55)
NIPS (29)
ICCV (26)
ECCV (14)
ICLR (6)
ICML (4)
WACV (2)
IJCAI (1)
Top co-authors
Research topics
Keywords
3d reconstruction
(30)
representation learning
(14)
self-supervised learning
(13)
unsupervised learning
(12)
convolutional neural network
(11)
object detection
(10)
neural radiance field
(10)
diffusion model
(9)
image classification
(8)
video understanding
(8)
pose estimation
(7)
neural network
(7)
3d vision
(6)
depth estimation
(6)
contrastive learning
(6)
transfer learning
(6)
video generation
(6)
deformable object
(6)
novel view synthesis
(5)
weakly supervised learning
(5)
Papers
3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes
CVPR 2025
Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction
ICCV 2025
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
ICCV 2025
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better
CVPR 2025
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos
CVPR 2025
DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction
CVPR 2025
Twinner: Shining Light on Digital Twins in a Few Snaps
CVPR 2025
VGGT: Visual Geometry Grounded Transformer
CVPR 2025
PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models
CVPR 2025
SynCity: Training-Free Generation of 3D Worlds
ICCV 2025
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction
ICCV 2025
VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory
ICCV 2025
CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos
ICCV 2025
Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics
ICCV 2025
UnCommon Objects in 3D
CVPR 2025
DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness
ICCV 2025
Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images
ICCV 2025
Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation
ICML 2025
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
ICML 2024
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects
ECCV 2024
Training-Free Layout Control With Cross-Attention Guidance
WACV 2024
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
NIPS 2024
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
NIPS 2024
Learning Segmentation from Point Trajectories
NIPS 2024
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning
ECCV 2024
Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator
ECCV 2024
DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing
ECCV 2024
CoTracker: It is Better to Track Together
ECCV 2024
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields
ECCV 2024
SHIC: Shape-Image Correspondences with no Keypoint Supervision
ECCV 2024
Diffusion Models for Open-Vocabulary Segmentation
ECCV 2024
Splatter Image: Ultra-Fast Single-View 3D Reconstruction
CVPR 2024
Learning the 3D Fauna of the Web
CVPR 2024
Free3D: Consistent Novel View Synthesis without 3D Representation
CVPR 2024
SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds
CVPR 2024
GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering
CVPR 2024
What does CLIP know about a red circle? Visual prompt engineering for VLMs
ICCV 2023
Online Clustered Codebook
ICCV 2023
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data
ICCV 2023
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
ICCV 2023
DynamicStereo: Consistent Dynamic Depth From Stereo Videos
CVPR 2023
RealFusion: 360deg Reconstruction of Any Object From a Single Image
CVPR 2023
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
CVPR 2023
Continual Detection Transformer for Incremental Object Detection
CVPR 2023
MagicPony: Learning Articulated 3D Animals in the Wild
CVPR 2023
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
CVPR 2023
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
NIPS 2023
No Representation Rules Them All in Category Discovery
NIPS 2023
EPIC Fields: Marrying 3D Geometry and Video Understanding
NIPS 2023
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images
CVPR 2023
Novel-View Acoustic Synthesis
CVPR 2023
Text-To-4D Dynamic Scene Generation
ICML 2023
Self-Supervised Correspondence Estimation via Multiview Registration
WACV 2023
HoloFusion: Towards Photo-realistic 3D Generative Modeling
ICCV 2023
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns
NIPS 2022
End-to-End Visual Editing with a Generatively Pre-trained Artist
ECCV 2022
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos
CVPR 2022
Generalized Category Discovery
CVPR 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
CVPR 2022
BANMo: Building Animatable 3D Neural Models From Many Casual Videos
CVPR 2022
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
ICLR 2022
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing
ICLR 2022
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data
ECCV 2022
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models
ICLR 2022
Self-Supervised Object Detection From Audio-Visual Correspondence
CVPR 2022
Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera
CVPR 2021
Localizing Visual Sounds the Hard Way
CVPR 2021
Unsupervised Learning of 3D Object Categories From Videos in the Wild
CVPR 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
CVPR 2021
Discovering Relationships Between Object Categories via Universal Canonical Maps
CVPR 2021
Unsupervised Part Discovery from Contrastive Reconstruction
NIPS 2021
Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning
ICCV 2021
On Compositions of Transformations in Contrastive Self-Supervised Learning
ICCV 2021
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension
ICCV 2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
NIPS 2021
Support-set bottlenecks for video-text representation learning
ICLR 2021
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract)
IJCAI 2021
Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos
CVPR 2020
Labelling unlabelled videos from scratch with multi-modal self-supervision
NIPS 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
NIPS 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
NIPS 2020
Continuous Surface Embeddings
NIPS 2020
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
NIPS 2020
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
NIPS 2020
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild
CVPR 2020
Transferring Dense Pose to Proximal Animal Classes
CVPR 2020
There and Back Again: Revisiting Backpropagation Saliency Methods
CVPR 2020
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
ICLR 2020
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
NIPS 2019
Fixing the train-test resolution discrepancy
NIPS 2019
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
ICCV 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
ICCV 2019
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning
ICCV 2019
Unsupervised Learning of Landmarks by Descriptor Vector Exchange
ICCV 2019
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
ICCV 2019
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
ICCV 2019
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues
CVPR 2019
Meta-learning with differentiable closed-form solvers
ICLR 2019
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
ECCV 2018
Long-term Tracking in the Wild: a Benchmark
ECCV 2018
Supervising the new with the old: learning SFM from SFM
ECCV 2018
Deep Image Prior
CVPR 2018
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks
CVPR 2018
MapNet: An Allocentric Spatial Memory for Mapping Environments
CVPR 2018
Efficient Parametrization of Multi-Domain Deep Neural Networks
CVPR 2018
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
CVPR 2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
NIPS 2018
Unsupervised Learning of Object Landmarks through Conditional Image Generation
NIPS 2018
Modelling and unsupervised learning of symmetric deformable object categories
NIPS 2018
Semi-convolutional Operators for Instance Segmentation
ECCV 2018
End-To-End Representation Learning for Correlation Filter Based Tracking
CVPR 2017
Learning 3D Object Categories by Looking Around Them
ICCV 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
ICCV 2017
Learning multiple visual domains with residual adapters
NIPS 2017
Unsupervised learning of object frames by dense equivariant image labelling
NIPS 2017
Warped Convolutions: Efficient Invariance to Spatial Transformations
ICML 2017
Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings
ICCV 2017
Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis
CVPR 2017
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching
CVPR 2017
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors
CVPR 2017
Dynamic Image Networks for Action Recognition
CVPR 2016
Integrated perception with recurrent multi-task neural networks
NIPS 2016
Learning feed-forward one-shot learners
NIPS 2016
Synthetic Data for Text Localisation in Natural Images
CVPR 2016
Weakly Supervised Deep Detection Networks
CVPR 2016
Understanding Deep Image Representations by Inverting Them
CVPR 2015
Understanding Image Representations by Measuring Their Equivariance and Equivalence
CVPR 2015
Deep Filter Banks for Texture Recognition and Segmentation
CVPR 2015
A Compact and Discriminative Face Track Descriptor
CVPR 2014
Understanding Objects in Detail with Fine-Grained Attributes
CVPR 2014
Describing Textures in the Wild
CVPR 2014
Deep Fisher Networks for Large-Scale Image Classification
NIPS 2013
Blocks That Shout: Distinctive Parts for Scene Classification
CVPR 2013
Pylon Model for Semantic Segmentation
NIPS 2011
Simultaneous Object Detection and Ranking with Weak Supervision
NIPS 2010
Structured output regression for detection with partial truncation
NIPS 2009
A Complexity-Distortion Approach to Joint Pattern Alignment
NIPS 2006