Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ommer, Bjorn"'
Autor:
Fuest, Michael, Ma, Pingchuan, Gui, Ming, Fischer, Johannes S., Hu, Vincent Tao, Ommer, Bjorn
Diffusion Models are popular generative modeling methods in various vision tasks, attracting significant attention. They can be considered a unique instance of self-supervised learning methods due to their independence from label annotation. This sur
Externí odkaz:
http://arxiv.org/abs/2407.00783
Autor:
Hu, Vincent Tao, Yin, Wenzhe, Ma, Pingchuan, Chen, Yunlu, Fernando, Basura, Asano, Yuki M, Gavves, Efstratios, Mettes, Pascal, Ommer, Bjorn, Snoek, Cees G. M.
Human motion synthesis is a fundamental task in computer animation. Recent methods based on diffusion models or GPT structure demonstrate commendable performance but exhibit drawbacks in terms of slow sampling speeds and error accumulation. In this p
Externí odkaz:
http://arxiv.org/abs/2312.08895
Autor:
Hu, Vincent Tao, Chen, Yunlu, Caron, Mathilde, Asano, Yuki M., Snoek, Cees G. M., Ommer, Bjorn
Guidance serves as a key concept in diffusion models, yet its effectiveness is often limited by the need for extra data annotation or classifier pretraining. That is why guidance was harnessed from self-supervised learning backbones, like DINO. Howev
Externí odkaz:
http://arxiv.org/abs/2312.08825
Autor:
Islam, Md Amirul, Kowal, Matthew, Esser, Patrick, Jia, Sen, Ommer, Bjorn, Derpanis, Konstantinos G., Bruce, Neil
Contrasting the previous evidence that neurons in the later layers of a Convolutional Neural Network (CNN) respond to complex object shapes, recent studies have shown that CNNs actually exhibit a `texture bias': given an image with both texture and s
Externí odkaz:
http://arxiv.org/abs/2101.11604
Understanding human activity and being able to explain it in detail surpasses mere action classification by far in both complexity and value. The challenge is thus to describe an activity on the basis of its most fundamental constituents, the individ
Externí odkaz:
http://arxiv.org/abs/1708.01191
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence; Jan2022, Vol. 44 Issue 1, p416-427, 12p
Autor:
Antic, Borislav, Ommer, Bjorn
Publikováno v:
2015 IEEE International Conference on Computer Vision (ICCV); 1/1/2015, p1251-1259, 9p
Autor:
Rubio, Jose C., Ommer, Bjorn
Publikováno v:
2015 7th International Conference on Games & Virtual Worlds for Serious Applications (VS-Games); 2015, p4213-4221, 9p