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Andrea Vedaldi
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2020 – today
- 2024
- [j19]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. Int. J. Comput. Vis. 132(2): 537-554 (2024) - [c193]Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. 3DV 2024: 852-861 - [c192]Dylan Campbell, Eldar Insafutdinov, João F. Henriques, Andrea Vedaldi:
Neural Fields for Co-Reconstructing 3D Objects from Incidental 2D Data. CVPR Workshops 2024: 2883-2893 - [c191]Chuanxia Zheng, Andrea Vedaldi:
Free3D: Consistent Novel View Synthesis Without 3D Representation. CVPR 2024: 9720-9731 - [c190]Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CVPR 2024: 9752-9762 - [c189]Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi:
Splatter Image: Ultra-Fast Single-View 3D Reconstruction. CVPR 2024: 10208-10217 - [c188]Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi:
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CVPR 2024: 19812-19822 - [c187]Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi:
Shap-Editor: Instruction-guided Latent 3D Editing in Seconds. CVPR 2024: 26446-26456 - [c186]Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi:
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects. ECCV (2) 2024: 165-183 - [c185]Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark:
Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. ECCV (78) 2024: 309-324 - [c184]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos:
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. ICML 2024 - [c183]Minghao Chen, Iro Laina, Andrea Vedaldi:
Training-Free Layout Control with Cross-Attention Guidance. WACV 2024: 5331-5341 - [i175]Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CoRR abs/2401.02400 (2024) - [i174]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos:
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. CoRR abs/2402.08682 (2024) - [i173]Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi:
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CoRR abs/2402.10128 (2024) - [i172]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR abs/2403.10997 (2024) - [i171]Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi:
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects. CoRR abs/2403.15382 (2024) - [i170]Minghao Chen, Iro Laina, Andrea Vedaldi:
DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing. CoRR abs/2404.18929 (2024) - [i169]Paul Engstler, Andrea Vedaldi, Iro Laina, Christian Rupprecht:
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting. CoRR abs/2404.19758 (2024) - [i168]Ang Cao, Justin Johnson, Andrea Vedaldi, David Novotný:
Lightplane: Highly-Scalable Components for Neural 3D Fields. CoRR abs/2404.19760 (2024) - [i167]Stanislaw Szymanowicz, Eldar Insafutdinov, Chuanxia Zheng, Dylan Campbell, João F. Henriques, Christian Rupprecht, Andrea Vedaldi:
Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image. CoRR abs/2406.04343 (2024) - [i166]Raphael Bensadoun, Yanir Kleiman, Idan Azuri, Omri Harosh, Andrea Vedaldi, Natalia Neverova, Oran Gafni:
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects. CoRR abs/2407.02430 (2024) - [i165]Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotný:
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials. CoRR abs/2407.02445 (2024) - [i164]Raphael Bensadoun, Tom Monnier, Yanir Kleiman, Filippos Kokkinos, Yawar Siddiqui, Mahendra Kariya, Omri Harosh, Roman Shapovalov, Benjamin Graham, Emilien Garreau, Animesh Karnewar, Ang Cao, Idan Azuri, Iurii Makarov, Eric-Tuan Le, Antoine Toisoul, David Novotný, Oran Gafni, Natalia Neverova, Andrea Vedaldi:
Meta 3D Gen. CoRR abs/2407.02599 (2024) - [i163]Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi:
SHIC: Shape-Image Correspondences with no Keypoint Supervision. CoRR abs/2407.18907 (2024) - [i162]Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi:
Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics. CoRR abs/2408.04631 (2024) - [i161]Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
3D-Aware Instance Segmentation and Tracking in Egocentric Videos. CoRR abs/2408.09860 (2024) - [i160]Wenjing Bian, Zirui Wang, Andrea Vedaldi:
CatFree3D: Category-agnostic 3D Object Detection with Diffusion. CoRR abs/2408.12747 (2024) - [i159]Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos:
Flex3D: Feed-Forward 3D Generation With Flexible Reconstruction Model And Input View Curation. CoRR abs/2410.00890 (2024) - 2023
- [j18]Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. Int. J. Comput. Vis. 131(10): 2623-2634 (2023) - [j17]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (Invited Paper). IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5268-5281 (2023) - [c182]Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný:
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CVPR 2023: 4881-4891 - [c181]Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi:
Novel-View Acoustic Synthesis. CVPR 2023: 6409-6419 - [c180]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
RealFusion 360° Reconstruction of Any Object from a Single Image. CVPR 2023: 8446-8455 - [c179]Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CVPR 2023: 8792-8802 - [c178]Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi:
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CVPR 2023: 12923-12932 - [c177]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CVPR 2023: 13229-13239 - [c176]Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra:
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. CVPR 2023: 18423-18433 - [c175]Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht:
Continual Detection Transformer for Incremental Object Detection. CVPR 2023: 23799-23808 - [c174]Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi:
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data. ICCV 2023: 8829-8839 - [c173]Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi:
What does CLIP know about a red circle? Visual prompt engineering for VLMs. ICCV 2023: 11953-11963 - [c172]Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova:
Replay: Multi-modal Multi-view Acted Videos for Casual Holography. ICCV 2023: 20281-20291 - [c171]Chuanxia Zheng, Andrea Vedaldi:
Online Clustered Codebook. ICCV 2023: 22741-22750 - [c170]Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný:
HoloFusion: Towards Photo-realistic 3D Generative Modeling. ICCV 2023: 22919-22928 - [c169]Aleksandar Shtedritski, Andrea Vedaldi, Christian Rupprecht:
Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation. ICCV (Workshops) 2023: 933-943 - [c168]Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman:
Text-To-4D Dynamic Scene Generation. ICML 2023: 31915-31929 - [c167]Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS 2023 - [c166]Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi:
EPIC Fields: Marrying 3D Geometry and Video Understanding. NeurIPS 2023 - [c165]Sagar Vaze, Andrea Vedaldi, Andrew Zisserman:
No Representation Rules Them All in Category Discovery. NeurIPS 2023 - [c164]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-supervised Correspondence Estimation via Multiview Registration. WACV 2023: 1216-1225 - [i158]Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi:
Novel-View Acoustic Synthesis. CoRR abs/2301.08730 (2023) - [i157]Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman:
Text-To-4D Dynamic Scene Generation. CoRR abs/2301.11280 (2023) - [i156]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR abs/2302.10663 (2023) - [i155]Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi:
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CoRR abs/2302.10668 (2023) - [i154]Ignacio Rocco, Iurii Makarov, Filippos Kokkinos, David Novotný, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
Real-time volumetric rendering of dynamic humans. CoRR abs/2303.11898 (2023) - [i153]Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra:
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images. CoRR abs/2303.16509 (2023) - [i152]Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht:
Continual Detection Transformer for Incremental Object Detection. CoRR abs/2304.03110 (2023) - [i151]Minghao Chen, Iro Laina, Andrea Vedaldi:
Training-Free Layout Control with Cross-Attention Guidance. CoRR abs/2304.03373 (2023) - [i150]Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi:
What does CLIP know about a red circle? Visual prompt engineering for VLMs. CoRR abs/2304.06712 (2023) - [i149]Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. CoRR abs/2304.10535 (2023) - [i148]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CoRR abs/2305.02296 (2023) - [i147]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR abs/2306.04633 (2023) - [i146]Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi:
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data. CoRR abs/2306.07881 (2023) - [i145]Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi:
EPIC Fields: Marrying 3D Geometry and Video Understanding. CoRR abs/2306.08731 (2023) - [i144]Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation. CoRR abs/2306.09316 (2023) - [i143]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
CoTracker: It is Better to Track Together. CoRR abs/2307.07635 (2023) - [i142]Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova:
Replay: Multi-modal Multi-view Acted Videos for Casual Holography. CoRR abs/2307.12067 (2023) - [i141]Chuanxia Zheng, Andrea Vedaldi:
Online Clustered Codebook. CoRR abs/2307.15139 (2023) - [i140]Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný:
HoloFusion: Towards Photo-realistic 3D Generative Modeling. CoRR abs/2308.14244 (2023) - [i139]Sagar Vaze, Andrea Vedaldi, Andrew Zisserman:
No Representation Rules Them All in Category Discovery. CoRR abs/2311.17055 (2023) - [i138]Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark:
Calibrated Uncertainties for Neural Radiance Fields. CoRR abs/2312.02350 (2023) - [i137]Chuanxia Zheng, Andrea Vedaldi:
Free3D: Consistent Novel View Synthesis without 3D Representation. CoRR abs/2312.04551 (2023) - [i136]Animesh Karnewar, Andrea Vedaldi, Niloy J. Mitra, David Novotný:
GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models. CoRR abs/2312.08744 (2023) - [i135]Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi:
SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds. CoRR abs/2312.09246 (2023) - [i134]Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi:
Splatter Image: Ultra-Fast Single-View 3D Reconstruction. CoRR abs/2312.13150 (2023) - 2022
- [j16]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6767-6781 (2022) - [c163]Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi:
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. 3DV 2022: 443-453 - [c162]Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. BMVC 2022: 554 - [c161]Xu Ji, Razvan Pascanu, R. Devon Hjelm, Balaji Lakshminarayanan, Andrea Vedaldi:
Test Sample Accuracy Scales with Training Sample Density in Neural Networks. CoLLAs 2022: 629-646 - [c160]Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CVPR 2022: 2853-2863 - [c159]David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi:
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. CVPR 2022: 5585-5594 - [c158]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Generalized Category Discovery. CVPR 2022: 7482-7491 - [c157]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR 2022: 8354-8365 - [c156]Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze:
Self-supervised object detection from audio-visual correspondence. CVPR 2022: 10565-10576 - [c155]Andrew Brown, Cheng-Yang Fu, Omkar M. Parkhi, Tamara L. Berg, Andrea Vedaldi:
End-to-End Visual Editing with a Generatively Pre-trained Artist. ECCV (15) 2022: 18-35 - [c154]Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi:
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. ECCV (32) 2022: 367-383 - [c153]Iro Laina, Yuki M. Asano, Andrea Vedaldi:
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing. ICLR 2022 - [c152]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR 2022 - [c151]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Open-Set Recognition: A Good Closed-Set Classifier is All You Need. ICLR 2022 - [c150]Robert McCraith, Eldar Insafutdinov, Lukás Neumann, Andrea Vedaldi:
Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views. ICRA 2022: 2411-2418 - [c149]Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns. NeurIPS 2022 - [i133]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Generalized Category Discovery. CoRR abs/2201.02609 (2022) - [i132]Andrew Brown, Cheng-Yang Fu, Omkar M. Parkhi, Tamara L. Berg, Andrea Vedaldi:
End-to-End Visual Editing with a Generatively Pre-Trained Artist. CoRR abs/2205.01668 (2022) - [i131]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR abs/2205.07839 (2022) - [i130]Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. CoRR abs/2205.07844 (2022) - [i129]Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi:
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data. CoRR abs/2206.06340 (2022) - [i128]Iro Laina, Yuki M. Asano, Andrea Vedaldi:
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing. CoRR abs/2209.03268 (2022) - [i127]Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi:
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. CoRR abs/2209.03494 (2022) - [i126]Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns. CoRR abs/2210.12148 (2022) - [i125]Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný:
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CoRR abs/2211.03889 (2022) - [i124]Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CoRR abs/2211.12497 (2022) - [i123]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-Supervised Correspondence Estimation via Multiview Registration. CoRR abs/2212.03236 (2022) - 2021
- [j15]Han Peng, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith:
Accurate brain age prediction with lightweight deep neural networks. Medical Image Anal. 68: 101871 (2021) - [c148]Hanbyul Joo, Natalia Neverova, Andrea Vedaldi:
Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation. 3DV 2021: 42-52 - [c147]Vadim Tschernezki, Diane Larlus, Andrea Vedaldi:
NeuralDiff: Segmenting 3D objects that move in egocentric videos. 3DV 2021: 910-919 - [c146]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. BMVC 2021: 117 - [c145]Triantafyllos Afouras, Honglie Chen, Weidi Xie, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Audio-Visual Synchronisation in the wild. BMVC 2021: 261 - [c144]Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi:
Discovering Relationships Between Object Categories via Universal Canonical Maps. CVPR 2021: 404-413 - [c143]Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný:
Unsupervised Learning of 3D Object Categories From Videos in the Wild. CVPR 2021: 4700-4709 - [c142]Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi:
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CVPR 2021: 7473-7483 - [c141]Lukás Neumann, Andrea Vedaldi:
Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera. CVPR 2021: 10204-10212 - [c140]Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Localizing Visual Sounds the Hard Way. CVPR 2021: 16867-16876 - [c139]Mandela Patrick, Yuki Markus Asano, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi:
On Compositions of Transformations in Contrastive Self-Supervised Learning. ICCV 2021: 9557-9567 - [c138]