Unsupervised Meta-Learning For Few-Shot Image and Video Classification. - Siavash Khodadadeh; Ladislau Bölöni; Mubarak Shah (CoRR, 2018)

Smart Walker for the Visually Impaired. - Christopher Feltner; Jonathan Guilbe; Sharare Zehtabian; Siavash Khodadadeh; Ladislau Bölöni; Damla Turgut (ICC, 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 (ICC, 2019)

Unsupervised Meta-Learning for Few-Shot Image Classification. - Siavash Khodadadeh; Ladislau Bölöni; Mubarak Shah (NeurIPS, 2019)

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 (ICAT-EGVE (Posters and Demos), 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 (MSWiM, 2020)

Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. - Siavash Khodadadeh; Sharare Zehtabian; Saeed Vahidian; Weijia Wang 002; Bill Lin 001; Ladislau Bölöni (ICLR, 2021)

Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. - Sharare Zehtabian; Siavash Khodadadeh; Ladislau Bölöni; Damla Turgut (INFOCOM, 2021)

Multi-robot Information Sampling Using Deep Mean Field Reinforcement Learning. - Tuffa Said; Jeffery Wolbert; Siavash Khodadadeh; Ayan Dutta 001; O. Patrick Kreidl; Ladislau Bölöni; Swapnoneel Roy (SMC, 2021)

Automatic Object Recoloring Using Adversarial Learning. - Siavash Khodadadeh; Saeid Motiian; Zhe Lin 001; Ladislau Bölöni; Shabnam Ghadar (WACV, 2021)

Predicting infections in the Covid-19 pandemic - lessons learned. - Sharare Zehtabian; Siavash Khodadadeh; Damla Turgut; Ladislau Bölöni (CoRR, 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)

Guided Co-Modulated GAN for 360° Field of View Extrapolation. - Mohammad Reza Karimi Dastjerdi; Yannick Hold-Geoffroy; Jonathan Eisenmann; Siavash Khodadadeh; Jean-François Lalonde (3DV, 2022)

Face editing using a regression-based approach in the StyleGAN latent space. - Saeid Motiian; Siavash Khodadadeh; Shabnam Ghadar; Baldo Faieta; Ladislau Bölöni (BMVC, 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 (WACV, 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 001 (IEEE Access, 2022)

Plug-and-Play Diffusion Distillation. - Yi-Ting Hsiao; Siavash Khodadadeh; Kevin Duarte; Wei-An Lin; Hui Qu; Mingi Kwon; Ratheesh Kalarot (CVPR, 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; et al. (CoRR, 2024)