1 code implementation • 19 Apr 2023 • Shoaib Ahmed Siddiqui, David Krueger, Thomas Breuel
Modern deep learning architectures for object recognition generalize well to novel views, but the mechanisms are not well understood.
2 code implementations • CVPR 2022 • Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, Xiaolong Wang
With only text supervision and without any pixel-level annotations, GroupViT learns to group together semantic regions and successfully transfers to the task of semantic segmentation in a zero-shot manner, i. e., without any further fine-tuning.
no code implementations • NeurIPS 2021 • Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas Breuel, Anima Anandkumar, Jan Kautz
It is therefore interesting to study how these two tasks can be coupled to benefit each other.
no code implementations • 10 Jul 2021 • Shoaib Ahmed Siddiqui, Thomas Breuel
In this paper, we investigate the use of pretraining with adversarial networks, with the objective of discovering the relationship between network depth and robustness.
1 code implementation • ICCV 2021 • Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas Breuel, Gal Chechik, Yale Song
We demonstrate that our approach finds videos with high audio-visual correspondence and show that self-supervised models trained on our data achieve competitive performances compared to models trained on existing manually curated datasets.
no code implementations • ICLR 2021 • Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz, Yale Song
The recent success of Transformers in the language domain has motivated adapting it to a multimodal setting, where a new visual model is trained in tandem with an already pretrained language model.
no code implementations • 1 Dec 2020 • Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas Breuel, Hongdong Li, Jan Kautz
A common way to speed up the computation is to downsample the feature volume, but this loses high-frequency details.
1 code implementation • 7 Jan 2020 • Tailin Wu, Thomas Breuel, Michael Skuhersky, Jan Kautz
Identifying the underlying directional relations from observational time series with nonlinear interactions and complex relational structures is key to a wide range of applications, yet remains a hard problem.
no code implementations • ICLR 2019 • Tailin Wu, Thomas Breuel, Jan Kautz
Learning causal relations from observational time series with nonlinear interactions and complex causal structures is a key component of human intelligence, and has a wide range of applications.
no code implementations • 26 Apr 2018 • Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas Breuel, Jan Kautz
Deep residual networks (ResNets) made a recent breakthrough in deep learning.
no code implementations • ECCV 2018 • Umar Iqbal, Pavlo Molchanov, Thomas Breuel, Juergen Gall, Jan Kautz
Estimating the 3D pose of a hand is an essential part of human-computer interaction.
8 code implementations • NeurIPS 2017 • Ming-Yu Liu, Thomas Breuel, Jan Kautz
Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains.
Domain Adaptation Multimodal Unsupervised Image-To-Image Translation +2
1 code implementation • 29 Oct 2016 • Mihaela Rosca, Thomas Breuel
Transliteration is a key component of machine translation systems and software internationalization.
no code implementations • 8 Jun 2016 • Aleksander Lodwich, Faisal Shafait, Thomas Breuel
From countless experiments of the past it became widely accepted that the value of k has a significant impact on the performance of this method.
no code implementations • 15 Mar 2016 • Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas Breuel, Yizhou Yu
State-of-the-art results of semantic segmentation are established by Fully Convolutional neural Networks (FCNs).