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Andrea Vedaldi

Identifiers

  • name variant Andrea Vedaldi 0.60 · backfill

Papers (68)

  1. AssetGen: Deployable 3D Asset Generation at Interactive Speed cs.GR · 2026 · author #16
  2. VGGT-$\Omega$ cs.CV · 2026 · author #9
  3. Articraft: An Agentic System for Scalable Articulated 3D Asset Generation cs.CV · 2026 · author #8
  4. Syn4D: A Multiview Synthetic 4D Dataset cs.CV · 2026 · author #11
  5. MeshReGen: A Unified 3D Geometry Regeneration Framework cs.CV · 2026 · author #5
  6. Free-Range Gaussians: Non-Grid-Aligned Generative 3D Gaussian Reconstruction cs.CV · 2026 · author #9
  7. Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning cs.GR · 2026 · author #6
  8. LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis cs.CV · 2026 · author #5
  9. What Happens Next? Anticipating Future Motion by Generating Point Trajectories cs.CV · 2025 · author #5
  10. DINOv3 cs.CV · 2025 · author #19
  11. Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues cs.CV · 2019 · author #5
  12. Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images cs.CV · 2019 · author #3
  13. Unsupervised Intuitive Physics from Past Experiences cs.CV · 2019 · author #4
  14. MultiGrain: a unified image embedding for classes and instances cs.CV · 2019 · author #3
  15. Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks cs.CV · 2018 · author #5
  16. Learning to Read by Spelling: Towards Unsupervised Text Recognition cs.CV · 2018 · author #2
  17. Emotion Recognition in Speech using Cross-Modal Transfer in the Wild cs.CV · 2018 · author #3
  18. Semi-convolutional Operators for Instance Segmentation cs.CV · 2018 · author #4
  19. Inductive Visual Localisation: Factorised Training for Superior Generalisation cs.CV · 2018 · author #2
  20. Large scale evaluation of local image feature detectors on homography datasets cs.CV · 2018 · author #2
  21. Cross Pixel Optical Flow Similarity for Self-Supervised Learning cs.CV · 2018 · author #3
  22. Unsupervised Learning of Object Landmarks through Conditional Image Generation cs.CV · 2018 · author #4
  23. Meta-learning with differentiable closed-form solvers cs.CV · 2018 · author #4
  24. Small steps and giant leaps: Minimal Newton solvers for Deep Learning cs.LG · 2018 · author #4
  25. Unsupervised Intuitive Physics from Visual Observations cs.CV · 2018 · author #4
  26. ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking cs.CV · 2018 · author #4
  27. Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection cs.CV · 2018 · author #4
  28. Efficient parametrization of multi-domain deep neural networks cs.CV · 2018 · author #3
  29. Long-term Tracking in the Wild: A Benchmark cs.CV · 2018 · author #5
  30. Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks cs.CV · 2018 · author #2
  31. DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images cs.CV · 2017 · author #6
  32. Unsupervised learning of object frames by dense equivariant image labelling cs.CV · 2017 · author #3
  33. Learning to Represent Mechanics via Long-term Extrapolation and Interpolation cs.CV · 2017 · author #3
  34. Learning multiple visual domains with residual adapters cs.CV · 2017 · author #3
  35. Unsupervised learning of object landmarks by factorized spatial embeddings cs.CV · 2017 · author #3
  36. End-to-end representation learning for Correlation Filter based tracking cs.CV · 2017 · author #4
  37. HPatches: A benchmark and evaluation of handcrafted and learned local descriptors cs.CV · 2017 · author #3
  38. AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching cs.CV · 2017 · author #3
  39. It Takes (Only) Two: Adversarial Generator-Encoder Networks cs.CV · 2017 · author #2
  40. Learning A Physical Long-term Predictor cs.AI · 2017 · author #4
  41. Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis cs.CV · 2017 · author #2
  42. Action Recognition with Dynamic Image Networks cs.CV · 2016 · author #4
  43. Learning Grimaces by Watching TV cs.CV · 2016 · author #2
  44. Fully-Trainable Deep Matching cs.CV · 2016 · author #4
  45. Instance Normalization: The Missing Ingredient for Fast Stylization cs.CV · 2016 · author #2
  46. Learning feed-forward one-shot learners cs.CV · 2016 · author #5
  47. Integrated perception with recurrent multi-task neural networks stat.ML · 2016 · author #2
  48. Learning Covariant Feature Detectors cs.CV · 2016 · author #2
  49. Synthetic Data for Text Localisation in Natural Images cs.CV · 2016 · author #2
  50. Texture Networks: Feed-forward Synthesis of Textures and Stylized Images cs.CV · 2016 · author #3
  51. Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images cs.CV · 2015 · author #2
  52. Weakly Supervised Deep Detection Networks cs.CV · 2015 · author #2
  53. Deep filter banks for texture recognition, description, and segmentation cs.CV · 2015 · author #4
  54. R-CNN minus R cs.CV · 2015 · author #2
  55. Understanding the Fisher Vector: a multimodal part model cs.CV · 2015 · author #4
  56. Automatic Discovery and Optimization of Parts for Image Classification cs.CV · 2014 · author #2
  57. Deep Structured Output Learning for Unconstrained Text Recognition cs.CV · 2014 · author #3
  58. MatConvNet - Convolutional Neural Networks for MATLAB cs.CV · 2014 · author #1
  59. Reading Text in the Wild with Convolutional Neural Networks cs.CV · 2014 · author #3
  60. Understanding Deep Image Representations by Inverting Them cs.CV · 2014 · author #2
  61. Deep convolutional filter banks for texture recognition and segmentation cs.CV · 2014 · author #3
  62. Understanding image representations by measuring their equivariance and equivalence cs.CV · 2014 · author #2
  63. Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition cs.CV · 2014 · author #3
  64. Speeding up Convolutional Neural Networks with Low Rank Expansions cs.CV · 2014 · author #2
  65. Return of the Devil in the Details: Delving Deep into Convolutional Nets cs.CV · 2014 · author #3
  66. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps cs.CV · 2013 · author #2
  67. Describing Textures in the Wild cs.CV · 2013 · author #5
  68. Fine-Grained Visual Classification of Aircraft cs.CV · 2013 · author #5

Mentions

  • 1412.6598 #2 · backfill · confidence 0.70 Andrea Vedaldi
  • 2603.20176 #5 · arxiv_oai · confidence 0.70 Andrea Vedaldi
  • 1412.5903 #3 · backfill · confidence 0.70 Andrea Vedaldi
  • 1412.4564 #1 · backfill · confidence 0.70 Andrea Vedaldi
  • 1412.1842 #3 · backfill · confidence 0.70 Andrea Vedaldi
  • 1412.0035 #2 · backfill · confidence 0.70 Andrea Vedaldi
  • 1411.6836 #3 · backfill · confidence 0.70 Andrea Vedaldi
  • 1411.5908 #2 · backfill · confidence 0.70 Andrea Vedaldi
  • 1406.2227 #3 · backfill · confidence 0.70 Andrea Vedaldi
  • 1405.3866 #2 · backfill · confidence 0.70 Andrea Vedaldi
  • 1405.3531 #3 · backfill · confidence 0.70 Andrea Vedaldi
  • 1312.6034 #2 · backfill · confidence 0.70 Andrea Vedaldi
  • 1311.3618 #5 · backfill · confidence 0.70 Andrea Vedaldi
  • 1306.5151 #5 · backfill · confidence 0.70 Andrea Vedaldi
  • 2605.26137 #16 · arxiv_oai · confidence 0.70 Andrea Vedaldi
  • 2509.21592 #5 · arxiv_oai · confidence 0.70 Andrea Vedaldi
  • 2604.28134 #5 · arxiv_oai · confidence 0.70 Andrea Vedaldi

Frequent Coauthors