Depth Estimation Through a Generative Model of Light Field Synthesis. - Mehdi S. M. Sajjadi; Rolf Köhler; Bernhard Schölkopf; Michael Hirsch 001 (GCPR, 2016)

Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines. - Mehdi S. M. Sajjadi; Morteza Alamgir; Ulrike von Luxburg (L@S, 2016)

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis. - Mehdi S. M. Sajjadi; Bernhard Schölkopf; Michael Hirsch 001 (ICCV, 2017)

Frame-Recurrent Video Super-Resolution. - Mehdi S. M. Sajjadi; Raviteja Vemulapalli; Matthew Brown 001 (CVPR, 2018)

Spatio-Temporal Transformer Network for Video Restoration. - Tae Hyun Kim 006; Mehdi S. M. Sajjadi; Michael Hirsch 001; Bernhard Schölkopf (ECCV (3), 2018)

Tempered Adversarial Networks. - Mehdi S. M. Sajjadi; Giambattista Parascandolo; Arash Mehrjou; Bernhard Schölkopf (ICML, 2018)

Assessing Generative Models via Precision and Recall. - Mehdi S. M. Sajjadi; Olivier Bachem; Mario Lucic; Olivier Bousquet; Sylvain Gelly (NeurIPS, 2018)

Tempered Adversarial Networks. - Mehdi S. M. Sajjadi; Bernhard Schölkopf (CoRR, 2018)

Photorealistic Video Super Resolution. - Eduardo Pérez-Pellitero; Mehdi S. M. Sajjadi; Michael Hirsch 001; Bernhard Schölkopf (CoRR, 2018)

From Variational to Deterministic Autoencoders. - Partha Ghosh; Mehdi S. M. Sajjadi; Antonio Vergari; Michael J. Black; Bernhard Schölkopf (ICLR, 2020)

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. - Ricardo Martin-Brualla; Noha Radwan; Mehdi S. M. Sajjadi; Jonathan T. Barron; Alexey Dosovitskiy; Daniel Duckworth (CVPR, 2021)

Kubric: A scalable dataset generator. - 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; et al. (CVPR, 2022)

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. - Michael Niemeyer; Jonathan T. Barron; Ben Mildenhall; Mehdi S. M. Sajjadi; Andreas Geiger 001; Noha Radwan (CVPR, 2022)

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. - 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; et al. (CVPR, 2022)

Object Scene Representation Transformer. - Mehdi S. M. Sajjadi; Daniel Duckworth; Aravindh Mahendran; Sjoerd van Steenkiste; Filip Pavetic; Mario Lucic; Leonidas J. Guibas; Klaus Greff; Thomas Kipf (NeurIPS, 2022)

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. - Suhani Vora; Noha Radwan; Klaus Greff; Henning Meyer; Kyle Genova; Mehdi S. M. Sajjadi; Etienne Pot; Andrea Tagliasacchi; Daniel Duckworth (Trans. Mach. Learn. Res., 2022)

RUST: Latent Neural Scene Representations from Unposed Imagery. - Mehdi S. M. Sajjadi; Aravindh Mahendran; Thomas Kipf; Etienne Pot; Daniel Duckworth; Mario Lucic; Klaus Greff (CVPR, 2023)

Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. - Ondrej Biza; Sjoerd van Steenkiste; Mehdi S. M. Sajjadi; Gamaleldin Fathy Elsayed; Aravindh Mahendran; Thomas Kipf (ICML, 2023)

PaLM-E: An Embodied Multimodal Language Model. - Danny Driess; Fei Xia 002; Mehdi S. M. Sajjadi; Corey Lynch; Aakanksha Chowdhery; Brian Ichter; Ayzaan Wahid; Jonathan Tompson; Quan Vuong; Tianhe Yu; Wenlong Huang; Yevgen Chebotar; et al. (ICML, 2023)

Test-time Adaptation with Slot-Centric Models. - Mihir Prabhudesai; Anirudh Goyal; Sujoy Paul; Sjoerd van Steenkiste; Mehdi S. M. Sajjadi; Gaurav Aggarwal; Thomas Kipf; Deepak Pathak; Katerina Fragkiadaki (ICML, 2023)

RePAST: Relative Pose Attention Scene Representation Transformer. - Aleksandr Safin; Daniel Duckworth; Mehdi S. M. Sajjadi (CoRR, 2023)

Sensitivity of Slot-Based Object-Centric Models to their Number of Slots. - Roland S. Zimmermann; Sjoerd van Steenkiste; Mehdi S. M. Sajjadi; Thomas Kipf; Klaus Greff (CoRR, 2023)

DORSal: Diffusion for Object-centric Representations of Scenes et al. - Allan Jabri; Sjoerd van Steenkiste; Emiel Hoogeboom; Mehdi S. M. Sajjadi; Thomas Kipf (ICLR, 2024)

DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. - Maximilian Seitzer; Sjoerd van Steenkiste; Thomas Kipf; Klaus Greff; Mehdi S. M. Sajjadi (ICLR, 2024)

Moving Off-the-Grid: Scene-Grounded Video Representations. - Sjoerd van Steenkiste; Daniel Zoran; Yi Yang 007; Yulia Rubanova; Rishabh Kabra; Carl Doersch; Dilara Gokay; Joseph Heyward; Etienne Pot; Klaus Greff; Drew A. Hudson; Thomas Keck; et al. (NeurIPS, 2024)

TRecViT: A Recurrent Video Transformer. - Viorica Patraucean; Xu Owen He; Joseph Heyward; Chuhan Zhang; Mehdi S. M. Sajjadi; George-Cristian Muraru; Artem Zholus; Mahdi Karami; Ross Goroshin; Yutian Chen 001; Simon Osindero; João Carreira 001; et al. (CoRR, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

From Image to Video: An Empirical Study of Diffusion Representations. - Pedro Vélez; Luisa F. Polanía; Yi Yang 007; Chuhan Zhang; Rishabh Kabra; Anurag Arnab; Mehdi S. M. Sajjadi (CoRR, 2025)

TAPNext: Tracking Any Point (TAP) as Next Token Prediction. - Artem Zholus; Carl Doersch; Yi Yang 007; Skanda Koppula; Viorica Patraucean; Xu Owen He; Ignacio Rocco; Mehdi S. M. Sajjadi; Sarath Chandar; Ross Goroshin (CoRR, 2025)

Direct Motion Models for Assessing Generated Videos. - 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 001; Sjoerd van Steenkiste (CoRR, 2025)