Mehdi S. M. Sajjadi

According to our database, Mehdi S. M. Sajjadi authored at least 24 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

DyST: Towards Dynamic Neural Scene Representations on Real-World Videos.

Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi

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

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

RePAST: Relative Pose Attention Scene Representation Transformer.

Aleksandr Safin, Daniel Duckworth, Mehdi S. M. Sajjadi

CoRR, 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

Proceedings of the International Conference on Machine Learning, 2023

PaLM-E: An Embodied Multimodal Language Model.

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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the International Conference on Machine Learning, 2023

RUST: Latent Neural Scene Representations from Unposed Imagery.

Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Noha Radwan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

From Variational to Deterministic Autoencoders.

Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, Bernhard Schölkopf

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Photorealistic Video Super Resolution.

Eduardo Pérez-Pellitero, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf

CoRR, 2018

Tempered Adversarial Networks.

Mehdi S. M. Sajjadi, Bernhard Schölkopf

CoRR, 2018

Assessing Generative Models via Precision and Recall.

Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, Sylvain Gelly

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Tempered Adversarial Networks.

Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf

Proceedings of the 6th International Conference on Learning Representations, 2018

Spatio-Temporal Transformer Network for Video Restoration.

Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf

Proceedings of the Computer Vision - ECCV 2018, 2018

Frame-Recurrent Video Super-Resolution.

Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis.

Mehdi S. M. Sajjadi, Bernhard Schölkopf, Michael Hirsch

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Depth Estimation Through a Generative Model of Light Field Synthesis.

Mehdi S. M. Sajjadi, Rolf Köhler, Bernhard Schölkopf, Michael Hirsch

Proceedings of the Pattern Recognition - 38th German Conference, 2016