Daniel Zoran

52 papers A* 17Journal 26Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
Learning from Streaming Video with Orthogonal Gradients.
CVPR
Tengda Han, Dilara Gokay, Joseph Heyward, Chuhan Zhang, Daniel Zoran, Viorica Patraucean, João Carreira, Dima Damen, Andrew Zisserman
2025 J jnl
Learning from Streaming Video with Orthogonal Gradients.
CoRR
Tengda Han, Dilara Gokay, Joseph Heyward, Chuhan Zhang, Daniel Zoran, Viorica Patraucean, João Carreira, Dima Damen, Andrew Zisserman
2025 J jnl
Recurrent Video Masked Autoencoders.
CoRR
Daniel Zoran, Nikhil Parthasarathy, Yi Yang, Drew A. Hudson, João Carreira, Andrew Zisserman
2025 J jnl
Unique Lives, Shared World: Learning from Single-Life Videos.
CoRR
Tengda Han, Sayna Ebrahimi, Dilara Gokay, Li Yang Ku, Maks Ovsjanikov, Iva Babukova, Daniel Zoran, Viorica Patraucean, João Carreira, Andrew Zisserman, Dima Damen
2024 A* conf
Learning from One Continuous Video Stream.
CVPR
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2024 A* conf
Moving Off-the-Grid: Scene-Grounded Video Representations.
NeurIPS
Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024 J jnl
Moving Off-the-Grid: Scene-Grounded Video Representations.
CoRR
Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024 A* conf
SODA: Bottleneck Diffusion Models for Representation Learning.
CVPR
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
2024 J jnl
Scaling 4D Representations.
CoRR
João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
2023 A* conf
Combining Behaviors with the Successor Features Keyboard.
NeurIPS
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran
2023 J jnl
Combining Behaviors with the Successor Features Keyboard.
CoRR
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
2023 J jnl
Laser: Latent Set Representations for 3D Generative Modeling.
CoRR
Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende
2023 J jnl
Learning from One Continuous Video Stream.
CoRR
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2023 J jnl
SODA: Bottleneck Diffusion Models for Representation Learning.
CoRR
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
2022 J jnl
Hierarchical Perceiver.
CoRR
João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
2022 — conf
Object Discovery and Representation Networks.
ECCV (27)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
2022 J jnl
Object discovery and representation networks.
CoRR
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
2022 A* conf
Perceiver IO: A General Architecture for Structured Inputs & Outputs.
ICLR
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2022 J jnl
Solving Reasoning Tasks with a Slot Transformer.
CoRR
Ryan Faulkner, Daniel Zoran
2021 A* conf
NeRF-VAE: A Geometry Aware 3D Scene Generative Model.
ICML
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo Jimenez Rezende
2021 J jnl
NeRF-VAE: A Geometry Aware 3D Scene Generative Model.
CoRR
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo J. Rezende
2021 A* conf
PARTS: Unsupervised segmentation with slots, attention and independence maximization.
ICCV
Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo J. Rezende
2021 J jnl
Perceiver IO: A General Architecture for Structured Inputs & Outputs.
CoRR
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2021 A* conf
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
NeurIPS
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt M. Botvinick, Alexander Lerchner, Christopher P. Burgess
2021 J jnl
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
CoRR
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew M. Botvinick, Alexander Lerchner, Christopher P. Burgess
2020 A* conf
Towards Robust Image Classification Using Sequential Attention Models.
CVPR
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
2019 A* conf
Multi-Object Representation Learning with Iterative Variational Inference.
ICML
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matthew M. Botvinick, Alexander Lerchner
2019 J jnl
Multi-Object Representation Learning with Iterative Variational Inference.
CoRR
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loïc Matthey, Matthew M. Botvinick, Alexander Lerchner
2019 A* conf
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents.
NeurIPS
Alexander Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo Jimenez Rezende
2019 J jnl
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents.
CoRR
Alex Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo J. Rezende
2019 J jnl
Towards Robust Image Classification Using Sequential Attention Models.
CoRR
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
2018 A* conf
LaVAN: Localized and Visible Adversarial Noise.
ICML
Danny Karmon, Daniel Zoran, Yoav Goldberg
2018 J jnl
LaVAN: Localized and Visible Adversarial Noise.
CoRR
Danny Karmon, Daniel Zoran, Yoav Goldberg
2018 J jnl
Learned Deformation Stability in Convolutional Neural Networks.
CoRR
Avraham Ruderman, Neil C. Rabinowitz, Ari S. Morcos, Daniel Zoran
2018 J jnl
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents.
CoRR
Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran, David Amos, Charles Beattie, Keith Anderson, Antonio García Castañeda, Manuel Sanchez, Simon Green, Audrunas Gruslys, Shane Legg, Demis Hassabis, Matthew M. Botvinick
2017 J jnl
Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees.
CoRR
Daniel Zoran, Balaji Lakshminarayanan, Charles Blundell
2017 — conf
Variational Memory Addressing in Generative Models.
NIPS
Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende
2017 J jnl
Variational Memory Addressing in Generative Models.
CoRR
Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende
2017 J jnl
Visual Interaction Networks.
CoRR
Nicholas Watters, Andrea Tacchetti, Theophane Weber, Razvan Pascanu, Peter W. Battaglia, Daniel Zoran
2017 — conf
Visual Interaction Networks: Learning a Physics Simulator from Video.
NIPS
Nicholas Watters, Daniel Zoran, Theophane Weber, Peter W. Battaglia, Razvan Pascanu, Andrea Tacchetti
2016 A* conf
Computational Imaging for VLBI Image Reconstruction.
CVPR
Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
2015 J jnl
Computational Imaging for VLBI Image Reconstruction.
CoRR
Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
2015 A* conf
Learning Ordinal Relationships for Mid-Level Vision.
ICCV
Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman
2015 J jnl
Learning visual groups from co-occurrences in space and time.
CoRR
Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
2014 — conf
Crisp Boundary Detection Using Pointwise Mutual Information.
ECCV (3)
Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
2014 — conf
Shape and Illumination from Shading using the Generic Viewpoint Assumption.
NIPS
Daniel Zoran, Dilip Krishnan, José Bento, Bill Freeman
2013 — conf
Learning the Local Statistics of Optical Flow.
NIPS
Dan Rosenbaum, Daniel Zoran, Yair Weiss
2013 — —
Natural image statistics for human and computer vision (שער נוסף בעברית: סטטיסטיקה של תמונות טבעיות עבור ראיית אדם ומכונה.).
Daniel Zoran
2012 — conf
"Natural Images, Gaussian Mixtures and Dead Leaves".
NIPS
Daniel Zoran, Yair Weiss
2011 A* conf
From learning models of natural image patches to whole image restoration.
ICCV
Daniel Zoran, Yair Weiss
2009 A* conf
Scale invariance and noise in natural images.
ICCV
Daniel Zoran, Yair Weiss
2009 — conf
The 'tree-dependent components' of natural scenes are edge filters.
NIPS
Daniel Zoran, Yair Weiss