no code implementations • NeurIPS 2023 • David Mizrahi, Roman Bachmann, Oğuzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir
Current machine learning models for vision are often highly specialized and limited to a single modality and task.
1 code implementation • CVPR 2023 • Marius Memmel, Roman Bachmann, Amir Zamir
Our model outperforms previous methods while training on only a fraction of the data.
1 code implementation • 4 Apr 2022 • Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
We show this pre-training strategy leads to a flexible, simple, and efficient framework with improved transfer results to downstream tasks.
Ranked #1 on Semantic Segmentation on Hypersim
1 code implementation • ICCV 2021 • Ainaz Eftekhar, Alexander Sax, Roman Bachmann, Jitendra Malik, Amir Zamir
This paper introduces a pipeline to parametrically sample and render multi-task vision datasets from comprehensive 3D scans from the real world.
4 code implementations • ICML 2020 • Xiangming Meng, Roman Bachmann, Mohammad Emtiyaz Khan
Our work provides a principled approach for training binary neural networks which justifies and extends existing approaches.
no code implementations • 30 Aug 2019 • Roman Bachmann, Jörg Spörri, Pascal Fua, Helge Rhodin
We propose a method for estimating an athlete's global 3D position and articulated pose using multiple cameras.