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ORCIDMehdi S. M. Sajjadi
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2020 – today
- 2024
[c20]Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf:
DORSal: Diffusion for Object-centric Representations of Scenes et al. ICLR 2024- [c19]Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi:
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. ICLR 2024 - 2023
- [c18]Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff:
RUST: Latent Neural Scene Representations from Unposed Imagery. CVPR 2023: 17297-17306 - [c17]Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf:
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. ICML 2023: 2507-2527 - [c16]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:
PaLM-E: An Embodied Multimodal Language Model. ICML 2023: 8469-8488 - [c15]Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki:
Test-time Adaptation with Slot-Centric Models. ICML 2023: 28151-28166 - [i21]Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf:
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. CoRR abs/2302.04973 (2023) - [i20]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:
PaLM-E: An Embodied Multimodal Language Model. CoRR abs/2303.03378 (2023) - [i19]Aleksandr Safin, Daniel Duckworth, Mehdi S. M. Sajjadi:
RePAST: Relative Pose Attention Scene Representation Transformer. CoRR abs/2304.00947 (2023) - [i18]Roland S. Zimmermann, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Thomas Kipf, Klaus Greff:
Sensitivity of Slot-Based Object-Centric Models to their Number of Slots. CoRR abs/2305.18890 (2023) - [i17]Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf:
DORSal: Diffusion for Object-centric Representations of Scenes et al.. CoRR abs/2306.08068 (2023) - [i16]Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi:
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. CoRR abs/2310.06020 (2023) - 2022
- [j1]Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. Trans. Mach. Learn. Res. 2022 (2022) - [c14]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:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751 - [c13]Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CVPR 2022: 5470-5480 - [c12]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:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR 2022: 6219-6228 - [c11]Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf:
Object Scene Representation Transformer. NeurIPS 2022 - [i15]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:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - [i14]Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf:
Object Scene Representation Transformer. CoRR abs/2206.06922 (2022) - [i13]Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff:
RUST: Latent Neural Scene Representations from Unposed Imagery. CoRR abs/2211.14306 (2022) - 2021
- [c10]Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth:
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CVPR 2021: 7210-7219 - [i12]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:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CoRR abs/2111.13152 (2021) - [i11]Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. CoRR abs/2111.13260 (2021) - [i10]Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CoRR abs/2112.00724 (2021) - 2020
- [c9]Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, Bernhard Schölkopf:
From Variational to Deterministic Autoencoders. ICLR 2020 - [i9]Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth:
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CoRR abs/2008.02268 (2020)
2010 – 2019
- 2019
- [i8]Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, Bernhard Schölkopf:
From Variational to Deterministic Autoencoders. CoRR abs/1903.12436 (2019) - 2018
- [c8]Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown:
Frame-Recurrent Video Super-Resolution. CVPR 2018: 6626-6634 - [c7]Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf:
Spatio-Temporal Transformer Network for Video Restoration. ECCV (3) 2018: 111-127 - [c6]Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf:
Tempered Adversarial Networks. ICLR (Workshop) 2018 - [c5]Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf:
Tempered Adversarial Networks. ICML 2018: 4448-4456 - [c4]Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, Sylvain Gelly:
Assessing Generative Models via Precision and Recall. NeurIPS 2018: 5234-5243 - [i7]Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown:
Frame-Recurrent Video Super-Resolution. CoRR abs/1801.04590 (2018) - [i6]Mehdi S. M. Sajjadi, Bernhard Schölkopf:
Tempered Adversarial Networks. CoRR abs/1802.04374 (2018) - [i5]Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, Sylvain Gelly:
Assessing Generative Models via Precision and Recall. CoRR abs/1806.00035 (2018) - [i4]Eduardo Pérez-Pellitero, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf:
Photorealistic Video Super Resolution. CoRR abs/1807.07930 (2018) - 2017
- [c3]Mehdi S. M. Sajjadi, Bernhard Schölkopf, Michael Hirsch:
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis. ICCV 2017: 4501-4510 - 2016
- [c2]Mehdi S. M. Sajjadi, Rolf Köhler, Bernhard Schölkopf, Michael Hirsch:
Depth Estimation Through a Generative Model of Light Field Synthesis. GCPR 2016: 426-438 - [c1]Mehdi S. M. Sajjadi, Morteza Alamgir, Ulrike von Luxburg:
Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines. L@S 2016: 369-378 - [i3]Mehdi S. M. Sajjadi, Rolf Köhler, Bernhard Schölkopf, Michael Hirsch:
Depth Estimation Through a Generative Model of Light Field Synthesis. CoRR abs/1609.01499 (2016) - [i2]Mehdi S. M. Sajjadi, Bernhard Schölkopf, Michael Hirsch:
EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis. CoRR abs/1612.07919 (2016) - 2015
- [i1]Mehdi S. M. Sajjadi, Morteza Alamgir, Ulrike von Luxburg:
Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines. CoRR abs/1506.00852 (2015)
Coauthor Index
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last updated on 2024-11-13 23:50 CET by the dblp team
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