Siavash Khodadadeh

According to our database, Siavash Khodadadeh authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Imagen 3.

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

CoRR, 2024

Plug-and-Play Diffusion Distillation.

Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte, Wei-An Lin, Hui Qu, Mingi Kwon, Ratheesh Kalarot

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning.

Saeed Vahidian, Mohsen Joneidi, Ashkan Esmaeili, Siavash Khodadadeh, Sharare Zehtabian, Bill Lin

IEEE Access, 2022

Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-generated Images.

Siavash Khodadadeh, Shabnam Ghadar, Saeid Motiian, Wei-An Lin, Ladislau Bölöni, Ratheesh Kalarot

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Face editing using a regression-based approach in the StyleGAN latent space.

Saeid Motiian, Siavash Khodadadeh, Shabnam Ghadar, Baldo Faieta, Ladislau Bölöni

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Guided Co-Modulated GAN for 360° Field of View Extrapolation.

Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy, Jonathan Eisenmann, Siavash Khodadadeh, Jean-François Lalonde

Proceedings of the International Conference on 3D Vision, 2022

2021

Modeling an intelligent controller for predictive caching in AR/VR-enabled home scenarios.

Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut

Pervasive Mob. Comput., 2021

Predicting infections in the Covid-19 pandemic - lessons learned.

Sharare Zehtabian, Siavash Khodadadeh, Damla Turgut, Ladislau Bölöni

CoRR, 2021

Automatic Object Recoloring Using Adversarial Learning.

Siavash Khodadadeh, Saeid Motiian, Zhe Lin, Ladislau Bölöni, Shabnam Ghadar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Multi-robot Information Sampling Using Deep Mean Field Reinforcement Learning.

Tuffa Said, Jeffery Wolbert, Siavash Khodadadeh, Ayan Dutta, O. Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Privacy-Preserving Learning of Human Activity Predictors in Smart Environments.

Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models.

Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project.

Matteo Mendula, Siavash Khodadadeh, Salih Safa Bacanli, Sharare Zehtabian, Hassam Ullah Sheikh, Ladislau Bölöni, Damla Turgut, Paolo Bellavista

Proceedings of the MSWiM '20: 23rd International ACM Conference on Modeling, 2020

An Automated Virtual Receptionist for Recognizing Visitors and Assuring Mask Wearing.

Sharare Zehtabian, Siavash Khodadadeh, Kangsoo Kim, Gerd Bruder, Greg Welch, Ladislau Bölöni, Damla Turgut

Proceedings of the 30th International Conference on Artificial Reality and Telexistence, 2020

2019

Unsupervised Meta-Learning for Few-Shot Image Classification.

Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Detecting Unsafe Use of a Four-Legged Walker using IoT and Deep Learning.

Siavash Khodadadeh, Sharare Zehtabian, Jonathan Guilbe, Ross Pearlman, Bradley J. Willenberg, Brian Kim, Edward A. Ross, Ladislau Bölöni, Damla Turgut

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Smart Walker for the Visually Impaired.

Christopher Feltner, Jonathan Guilbe, Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Unsupervised Meta-Learning For Few-Shot Image and Video Classification.

Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah

CoRR, 2018