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Mohammad Babaeizadeh
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2020 – today
- 2024
- [i16]Divya Kothandaraman, Kihyuk Sohn, Ruben Villegas, Paul Voigtlaender, Dinesh Manocha, Mohammad Babaeizadeh:
Text Prompting for Multi-Concept Video Customization by Autoregressive Generation. CoRR abs/2405.13951 (2024) - 2023
- [c13]Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan:
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. ICLR 2023 - [c12]Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender:
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. NeurIPS 2023 - [i15]Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender:
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. CoRR abs/2308.11606 (2023) - 2022
- [c11]Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine:
Information Prioritization through Empowerment in Visual Model-based RL. ICLR 2022 - [i14]Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine:
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL. CoRR abs/2204.08585 (2022) - [i13]Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan:
Phenaki: Variable Length Video Generation From Open Domain Textual Description. CoRR abs/2210.02399 (2022) - 2021
- [i12]Mohammad Babaeizadeh, Mohammad Taghi Saffar, Suraj Nair, Sergey Levine, Chelsea Finn, Dumitru Erhan:
FitVid: Overfitting in Pixel-Level Video Prediction. CoRR abs/2106.13195 (2021) - 2020
- [c10]Mohammad Babaeizadeh, Golnaz Ghiasi:
Adjustable Real-time Style Transfer. ICLR 2020 - [c9]Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski
, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski:
Model Based Reinforcement Learning for Atari. ICLR 2020 - [c8]Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma:
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation. ICLR 2020 - [c7]Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar:
TRASS: Time Reversal as Self-Supervision. ICRA 2020: 115-121 - [i11]Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan, Chelsea Finn, Sergey Levine, Dumitru Erhan:
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning. CoRR abs/2012.04603 (2020)
2010 – 2019
- 2019
- [b1]Mohammad Babaeizadeh:
Stochastic prediction in sequential high-dimensional observation space. University of Illinois Urbana-Champaign, USA, 2019 - [c6]Mohammad Babaeizadeh, Golnaz Ghiasi:
Adjustable Real-time Style Transfer. DGS@ICLR 2019 - [i10]Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski
Model-Based Reinforcement Learning for Atari. CoRR abs/1903.00374 (2019) - [i9]Manoj Kumar
VideoFlow: A Flow-Based Generative Model for Video. CoRR abs/1903.01434 (2019) - 2018
- [c5]Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine:
Stochastic Variational Video Prediction. ICLR (Poster) 2018 - [i8]Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar:
Time Reversal as Self-Supervision. CoRR abs/1810.01128 (2018) - [i7]Mohammad Babaeizadeh, Golnaz Ghiasi:
Adjustable Real-time Style Transfer. CoRR abs/1811.08560 (2018) - 2017
- [c4]Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) 2017 - [c3]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) 2017 - [i6]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. CoRR abs/1704.06001 (2017) - [i5]Faraz Faghri, Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mike A. Nalls, Saurabh Sinha, Roy H. Campbell:
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case. CoRR abs/1710.00112 (2017) - [i4]Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine:
Stochastic Variational Video Prediction. CoRR abs/1710.11252 (2017) - 2016
- [i3]Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang:
Seq-NMS for Video Object Detection. CoRR abs/1602.08465 (2016) - [i2]Mohammad Babaeizadeh, Paris Smaragdis, Roy H. Campbell:
NoiseOut: A Simple Way to Prune Neural Networks. CoRR abs/1611.06211 (2016) - [i1]Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz:
GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR abs/1611.06256 (2016) - 2012
- [c2]Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mohsen Nowruzi, Hossein Hadian Jazi, Mohammad Shahmoradi, Elaheh Biglar Beigi Samani:
A comprehensive semi-automated incident handling workflow. IST 2012: 1065-1070 - [c1]Mohsen Nowruzi, Hossein Hadian Jazi, Mojtaba Dehghan, Mohammad Shahmoradi, Sayed Hadi Hashemi, Mohammad Babaeizadeh:
A comprehensive classification of incident handling information. IST 2012: 1071-1075
Coauthor Index
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