Motion Capture from Pan-Tilt Cameras with Unknown Orientation. - Roman Bachmann 001; Jörg Spörri; Pascal Fua; Helge Rhodin (3DV, 2019)

Training Binary Neural Networks using the Bayesian Learning Rule. - Xiangming Meng; Roman Bachmann 001; Mohammad Emtiyaz Khan (ICML, 2020)

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. - Ainaz Eftekhar; Alexander Sax; Roman Bachmann 001; Jitendra Malik; Amir Zamir (CoRR, 2021)

MultiMAE: Multi-modal Multi-task Masked Autoencoders. - Roman Bachmann 001; David Mizrahi; Andrei Atanov; Amir Zamir (ECCV (37), 2022)

CLIPasso: semantically-aware object sketching. - Yael Vinker; Ehsan Pajouheshgar; Jessica Y. Bo; Roman Christian Bachmann 001; Amit Haim Bermano; Daniel Cohen-Or; Amir Zamir; Ariel Shamir (ACM Trans. Graph., 2022)

Modality-invariant Visual Odometry for Embodied Vision. - Marius Memmel; Roman Bachmann 001; Amir Zamir (CVPR, 2023)

4M: Massively Multimodal Masked Modeling. - David Mizrahi; Roman Bachmann 001; Oguzhan Fatih Kar; Teresa Yeo; Mingfei Gao; Afshin Dehghan; Amir Zamir (NeurIPS, 2023)

ViPer: Visual Personalization of Generative Models via Individual Preference Learning. - Sogand Salehi; Mahdi Shafiei; Teresa Yeo; Roman Bachmann 001; Amir Zamir (ECCV (74), 2024)

4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities. - Roman Bachmann 001; Oguzhan Fatih Kar; David Mizrahi; Ali Garjani; Mingfei Gao; David Griffiths; Jiaming Hu; Afshin Dehghan; Amir Zamir (NeurIPS, 2024)

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. - Roman Bachmann 001; Jesse Allardice; David Mizrahi; Enrico Fini; Oguzhan Fatih Kar; Elmira Amirloo; Alaaeldin El-Nouby; Amir Zamir; Afshin Dehghan (CoRR, 2025)

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks. - Rahul Ramachandran; Ali Garjani; Roman Bachmann 001; Andrei Atanov; Oguzhan Fatih Kar; Amir Zamir (CoRR, 2025)