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2020 – today
- 2024
[c13]Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte, Wei-An Lin, Hui Qu, Mingi Kwon, Ratheesh Kalarot:
Plug-and-Play Diffusion Distillation. CVPR 2024: 13743-13752- [i7]Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte, Wei-An Lin, Hui Qu, Mingi Kwon, Ratheesh Kalarot:
Plug-and-Play Diffusion Distillation. CoRR abs/2406.01954 (2024) - [i6]Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - 2022
- [j2]Saeed Vahidian
, Mohsen Joneidi, Ashkan Esmaeili, Siavash Khodadadeh, Sharare Zehtabian, Bill Lin:
Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning. IEEE Access 10: 88164-88177 (2022) - [c12]Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy, Jonathan Eisenmann, Siavash Khodadadeh, Jean-François Lalonde:
Guided Co-Modulated GAN for 360° Field of View Extrapolation. 3DV 2022: 475-485 - [c11]Saeid Motiian, Siavash Khodadadeh, Shabnam Ghadar, Baldo Faieta, Ladislau Bölöni:
Face editing using a regression-based approach in the StyleGAN latent space. BMVC 2022: 522 - [c10]Siavash Khodadadeh, Shabnam Ghadar, Saeid Motiian, Wei-An Lin, Ladislau Bölöni, Ratheesh Kalarot:
Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-generated Images. WACV 2022: 3677-3685 - [i5]Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy, Jonathan Eisenmann, Siavash Khodadadeh, Jean-François Lalonde:
Guided Co-Modulated GAN for 360° Field of View Extrapolation. CoRR abs/2204.07286 (2022) - 2021
- [j1]Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Modeling an intelligent controller for predictive caching in AR/VR-enabled home scenarios. Pervasive Mob. Comput. 71: 101334 (2021) - [c9]Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni:
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. ICLR 2021 - [c8]Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. INFOCOM 2021: 1-10 - [c7]Tuffa Said, Jeffery Wolbert, Siavash Khodadadeh, Ayan Dutta, O. Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy:
Multi-robot Information Sampling Using Deep Mean Field Reinforcement Learning. SMC 2021: 1215-1220 - [c6]Siavash Khodadadeh, Saeid Motiian, Zhe Lin, Ladislau Bölöni, Shabnam Ghadar:
Automatic Object Recoloring Using Adversarial Learning. WACV 2021: 1487-1495 - [i4]Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. CoRR abs/2101.06564 (2021) - [i3]Sharare Zehtabian, Siavash Khodadadeh, Damla Turgut, Ladislau Bölöni:
Predicting infections in the Covid-19 pandemic - lessons learned. CoRR abs/2112.11187 (2021) - 2020
- [c5]Sharare Zehtabian, Siavash Khodadadeh, Kangsoo Kim, Gerd Bruder, Greg Welch, Ladislau Bölöni, Damla Turgut:
An Automated Virtual Receptionist for Recognizing Visitors and Assuring Mask Wearing. ICAT-EGVE (Posters and Demos) 2020: 9-10 - [c4]Matteo Mendula, Siavash Khodadadeh, Salih Safa Bacanli, Sharare Zehtabian, Hassam Ullah Sheikh, Ladislau Bölöni, Damla Turgut, Paolo Bellavista:
Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project. MSWiM 2020: 225-233 - [i2]Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni:
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. CoRR abs/2006.10236 (2020)
2010 – 2019
- 2019
- [c3]Christopher Feltner, Jonathan Guilbe, Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Smart Walker for the Visually Impaired. ICC 2019: 1-6 - [c2]Siavash Khodadadeh, Sharare Zehtabian, Jonathan Guilbe, Ross Pearlman, Bradley J. Willenberg, Brian Kim, Edward A. Ross, Ladislau Bölöni, Damla Turgut:
Detecting Unsafe Use of a Four-Legged Walker using IoT and Deep Learning. ICC 2019: 1-6 - [c1]Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah:
Unsupervised Meta-Learning for Few-Shot Image Classification. NeurIPS 2019: 10132-10142 - 2018
- [i1]Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah:
Unsupervised Meta-Learning For Few-Shot Image and Video Classification. CoRR abs/1811.11819 (2018)
Coauthor Index
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last updated on 2024-11-06 20:28 CET by the dblp team
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