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pro vyhledávání: '"Jepson, Allan D."'
We design a novel algorithm for optimal transport by drawing from the entropic optimal transport, mirror descent and conjugate gradients literatures. Our scalable and GPU parallelizable algorithm is able to compute the Wasserstein distance with extre
Externí odkaz:
http://arxiv.org/abs/2307.08507
Autor:
Dvornik, Nikita, Hadji, Isma, Zhang, Ran, Derpanis, Konstantinos G., Garg, Animesh, Wildes, Richard P., Jepson, Allan D.
Instructional videos are an important resource to learn procedural tasks from human demonstrations. However, the instruction steps in such videos are typically short and sparse, with most of the video being irrelevant to the procedure. This motivates
Externí odkaz:
http://arxiv.org/abs/2304.13265
Autor:
Dvornik, Nikita, Hadji, Isma, Pham, Hai, Bhatt, Dhaivat, Martinez, Brais, Fazly, Afsaneh, Jepson, Allan D.
Publikováno v:
ECCV 2022
In this work, we consider the problem of weakly-supervised multi-step localization in instructional videos. An established approach to this problem is to rely on a given list of steps. However, in reality, there is often more than one way to execute
Externí odkaz:
http://arxiv.org/abs/2210.04996
Autor:
Zhao, He, Hadji, Isma, Dvornik, Nikita, Derpanis, Konstantinos G., Wildes, Richard P., Jepson, Allan D.
In this paper, we study the problem of procedure planning in instructional videos. Here, an agent must produce a plausible sequence of actions that can transform the environment from a given start to a desired goal state. When learning procedure plan
Externí odkaz:
http://arxiv.org/abs/2205.02300
In this work, we consider the problem of sequence-to-sequence alignment for signals containing outliers. Assuming the absence of outliers, the standard Dynamic Time Warping (DTW) algorithm efficiently computes the optimal alignment between two (gener
Externí odkaz:
http://arxiv.org/abs/2108.11996
We introduce a weakly supervised method for representation learning based on aligning temporal sequences (e.g., videos) of the same process (e.g., human action). The main idea is to use the global temporal ordering of latent correspondences across se
Externí odkaz:
http://arxiv.org/abs/2105.05217
Autor:
Aumentado-Armstrong, Tristan, Levinshtein, Alex, Tsogkas, Stavros, Derpanis, Konstantinos G., Jepson, Allan D.
For humans, visual understanding is inherently generative: given a 3D shape, we can postulate how it would look in the world; given a 2D image, we can infer the 3D structure that likely gave rise to it. We can thus translate between the 2D visual and
Externí odkaz:
http://arxiv.org/abs/2011.08026
Akademický článek
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Publikováno v:
SIAM Journal on Numerical Analysis, 1991 Oct 01. 28(5), 1446-1462.
Externí odkaz:
https://www.jstor.org/stable/2157875
Autor:
Jepson, Allan D., Spence, Alastair
Publikováno v:
SIAM Journal on Numerical Analysis, 1985 Aug 01. 22(4), 736-759.
Externí odkaz:
https://www.jstor.org/stable/2157579