Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Das, Deepan"'
Publikováno v:
In Emerging Markets Review June 2024 60
Visual Question Answering (VQA) is concerned with answering free-form questions about an image. Since it requires a deep semantic and linguistic understanding of the question and the ability to associate it with various objects that are present in th
Externí odkaz:
http://arxiv.org/abs/2107.06325
Because manufacturing processes evolve fast, and since production visual aspect can vary significantly on a daily basis, the ability to rapidly update machine vision based inspection systems is paramount. Unfortunately, supervised learning of convolu
Externí odkaz:
http://arxiv.org/abs/2104.02973
Generalization Performance of Deep Learning models trained using Empirical Risk Minimization can be improved significantly by using Data Augmentation strategies such as simple transformations, or using Mixed Samples. We attempt to empirically analyze
Externí odkaz:
http://arxiv.org/abs/2006.03810
We introduce a novel deep neural network architecture that links visual regions to corresponding textual segments including phrases and words. To accomplish this task, our architecture makes use of the rich semantic information available in a joint e
Externí odkaz:
http://arxiv.org/abs/1908.02950
Autor:
Das, Deepan, Mishra, Deepak
We present an improved clustering based, unsupervised anomalous trajectory detection algorithm for crowded scenes. The proposed work is based on four major steps, namely, extraction of trajectories from crowded scene video, extraction of several feat
Externí odkaz:
http://arxiv.org/abs/1907.01717
Publikováno v:
Proceedings of SPIE; July 2021, Vol. 11794 Issue: 1 p1179413-1179413-8
Autor:
Gavas RD, Ramakrishnan RK, Balamuralidhar P, Pal A, Das D, Bhattacharjee T, Sheshachala MB, Hissaria LK, Vempada RR, Viraraghavan VS, Choudhury AD, Muralidharan K
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2019 Jul; Vol. 2019, pp. 1321-1325.
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2018 Jul; Vol. 2018, pp. 5753-5758.
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2018 Jul; Vol. 2018, pp. 3572-3577.