Mehdi S. M. Sajjadi

53 papers A* 18B 1Journal 31Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
TRecViT: A Recurrent Video Transformer.
Trans. Mach. Learn. Res.
Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2025 A* conf
Direct Motion Models for Assessing Generated Videos.
ICML
Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, João Carreira, Sjoerd van Steenkiste
2025 J jnl
Direct Motion Models for Assessing Generated Videos.
CoRR
Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Murphy, João Carreira, Sjoerd van Steenkiste
2025 J jnl
Efficiently Reconstructing Dynamic Scenes One D4RT at a Time.
CoRR
Chuhan Zhang, Guillaume Le Moing, Skanda Koppula, Ignacio Rocco, Liliane Momeni, Junyu Xie, Shuyang Sun, Rahul Sukthankar, Joëlle K. Barral, Raia Hadsell, Zoubin Ghahramani, Andrew Zisserman, Junlin Zhang, Mehdi S. M. Sajjadi
2025 J jnl
From Image to Video: An Empirical Study of Diffusion Representations.
CoRR
Pedro Vélez, Luisa F. Polanía, Yi Yang, Chuhan Zhang, Rishabh Kabra, Anurag Arnab, Mehdi S. M. Sajjadi
2025 J jnl
LayerLock: Non-collapsing Representation Learning with Progressive Freezing.
CoRR
Goker Erdogan, Nikhil Parthasarathy, Catalin Ionescu, Drew A. Hudson, Alexander Lerchner, Andrew Zisserman, Mehdi S. M. Sajjadi, João Carreira
2025 J jnl
TAPNext: Tracking Any Point (TAP) as Next Token Prediction.
CoRR
Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin
2024 A* conf
DORSal: Diffusion for Object-centric Representations of Scenes et al.
ICLR
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
2024 A* conf
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos.
ICLR
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
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 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
2024 J jnl
TRecViT: A Recurrent Video Transformer.
CoRR
Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2023 J jnl
DORSal: Diffusion for Object-centric Representations of Scenes et al..
CoRR
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
2023 J jnl
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos.
CoRR
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
2023 A* conf
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames.
ICML
Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf
2023 J jnl
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames.
CoRR
Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf
2023 A* conf
PaLM-E: An Embodied Multimodal Language Model.
ICML
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
2023 J jnl
PaLM-E: An Embodied Multimodal Language Model.
CoRR
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
2023 A* conf
RUST: Latent Neural Scene Representations from Unposed Imagery.
CVPR
Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff
2023 J jnl
RePAST: Relative Pose Attention Scene Representation Transformer.
CoRR
Aleksandr Safin, Daniel Duckworth, Mehdi S. M. Sajjadi
2023 J jnl
Sensitivity of Slot-Based Object-Centric Models to their Number of Slots.
CoRR
Roland S. Zimmermann, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Thomas Kipf, Klaus Greff
2023 A* conf
Test-time Adaptation with Slot-Centric Models.
ICML
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki
2022 A* conf
Kubric: A scalable dataset generator.
CVPR
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022 J jnl
Kubric: A scalable dataset generator.
CoRR
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022 J jnl
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes.
Trans. Mach. Learn. Res.
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
2022 A* conf
Object Scene Representation Transformer.
NeurIPS
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
2022 J jnl
Object Scene Representation Transformer.
CoRR
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
2022 J jnl
RUST: Latent Neural Scene Representations from Unposed Imagery.
CoRR
Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff
2022 A* conf
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs.
CVPR
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan
2022 A* conf
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations.
CVPR
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi
2021 A* conf
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections.
CVPR
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth
2021 J jnl
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes.
CoRR
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
2021 J jnl
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs.
CoRR
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan
2021 J jnl
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations.
CoRR
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi
2020 A* conf
From Variational to Deterministic Autoencoders.
ICLR
Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, Bernhard Schölkopf
2020 J jnl
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections.
CoRR
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth
2019 J jnl
From Variational to Deterministic Autoencoders.
CoRR
Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, Bernhard Schölkopf
2018 A* conf
Assessing Generative Models via Precision and Recall.
NeurIPS
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, Sylvain Gelly
2018 J jnl
Assessing Generative Models via Precision and Recall.
CoRR
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, Sylvain Gelly
2018 A* conf
Frame-Recurrent Video Super-Resolution.
CVPR
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
2018 J jnl
Frame-Recurrent Video Super-Resolution.
CoRR
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
2018 J jnl
Photorealistic Video Super Resolution.
CoRR
Eduardo Pérez-Pellitero, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf
2018 — conf
Spatio-Temporal Transformer Network for Video Restoration.
ECCV (3)
Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf
2018 — conf
Tempered Adversarial Networks.
ICLR (Workshop)
Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf
2018 A* conf
Tempered Adversarial Networks.
ICML
Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf
2018 J jnl
Tempered Adversarial Networks.
CoRR
Mehdi S. M. Sajjadi, Bernhard Schölkopf
2017 A* conf
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis.
ICCV
Mehdi S. M. Sajjadi, Bernhard Schölkopf, Michael Hirsch
2016 — conf
Depth Estimation Through a Generative Model of Light Field Synthesis.
GCPR
Mehdi S. M. Sajjadi, Rolf Köhler, Bernhard Schölkopf, Michael Hirsch
2016 J jnl
Depth Estimation Through a Generative Model of Light Field Synthesis.
CoRR
Mehdi S. M. Sajjadi, Rolf Köhler, Bernhard Schölkopf, Michael Hirsch
2016 J jnl
EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis.
CoRR
Mehdi S. M. Sajjadi, Bernhard Schölkopf, Michael Hirsch
2016 B conf
Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines.
L@S
Mehdi S. M. Sajjadi, Morteza Alamgir, Ulrike von Luxburg
2015 J jnl
Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines.
CoRR
Mehdi S. M. Sajjadi, Morteza Alamgir, Ulrike von Luxburg