About
I work as a Research Scientist at Facebook AI Research London. Previously I was a DPhil student at the Visual Geometry Group, University of Oxford funded by Naver Labs Europe. My supervisors were Diane Larlus (Naver Labs Europe) and Andrea Vedaldi (University of Oxford).
My research focuses on discovering and representing the semantic and geometric structure of object categories from images or videos.
Publications
Reizenstein, J. and Shapovalov, R. and Henzler, P. and Sbordone, L. and Labatut, P. and Novotny, D.
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
ICCV 2021, oral presentation, Best Paper Honorable Mention
  pdf
  code
  dataset
  project page
  talk
Henzler, P. and Reizenstein, J. and Labatut, P. and Shapovalov, R. and Ritschel, T. and Vedaldi, A. and Novotny, D.
Unsupervised Learning of 3D Object Categories from Videos in the WildCVPR 2021
  pdf
  cvf
  poster
  talk
Biggs, B. and Ehrhadt, S. and Joo, H. and Graham, B. and Vedaldi, A. and Novotny, D.
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
NeurIPS 2020, spotlight presentation
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  project page
  NeurIPS
  talk
Graham, B. and Novotny, D.
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty
3DV 2020
  pdf
  code
Novotny, D.* and Shapovalov, R.* and Vedaldi, A.
Canonical 3D Deformer Maps: Unifying Parametric and Non-parametric Methods for Dense Weakly-supervised Category Reconstruction
NeurIPS 2020
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  poster
  code
  NeurIPS
Neverova, N. and Novotny, D. and Khalidov, V. and Szafraniec, M. and Labatut, P. and Vedaldi, A.
Continuous Surface Embeddings
NeurIPS 2020
  pdf
  NeurIPS
Novotny, D. and Graham, B. and Reizenstein, J.
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
NeurIPS 2019
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  poster
  NeurIPS
Novotny, D.* and Ravi, N.* and Graham, B. and Neverova, N. and Vedaldi, A.
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
ICCV 2019, oral presentation
  pdf
  code
  poster
  talk
  cvf
Novotny, D. and Larlus, D. and Vedaldi, A.
Capturing the Geometry of Object Categories from Video Supervision
TPAMI 2018
  pdf
  ieee
Novotny, D.* and Albanie, S.* and Larlus, D. and Vedaldi, A.
Semi-convolutional Operators for Instance Segmentation
ECCV 2018
  pdf
  poster
  cvf
Novotny, D.* and Albanie, S.* and Larlus, D. and Vedaldi, A.
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
CVPR 2018, spotlight
  pdf
  poster
  talk (starts at 1:25:00)
  cvf
Novotny, D. and Larlus, D. and Vedaldi, A.
Learning 3D Object Categories by Looking Around Them
ICCV 2017, oral presentation
  pdf
  poster
  talk
  scholar
Novotny, D. and Larlus, D. and Vedaldi, A.
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching
CVPR 2017
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  poster
  code
  scholar
Novotny, D. and Larlus, D. and Vedaldi, A.
I Have Seen Enough: Transferring Parts Across Categories
BMVC 2016
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  poster
  scholar
  dataset
Novotny, D. and Larlus, D. and Vedaldi, A.
Learning the Structure of Objects from Web Supervision
ECCV 2016 Workshops, Oral presentation
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  poster
  scholar
Novotny, D. and Matas, J.
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection
ICCV 2015
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  poster
  video
  scholar
Other
Novotny, D. and Larlus, D. and Perronnin, F. and Vedaldi, A.
Understanding the Fisher Vector: a Multimodal Part Model
arXiv 2015
  pdf
  scholar