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pro vyhledávání: '"Sarthak Bhagat"'
Publikováno v:
Robotics, Vol 8, Iss 4, p 93 (2019)
The authors wish to make the following corrections to this paper [1]: In Figure 1 of this paper [...]
Externí odkaz:
https://doaj.org/article/0d59d1a604e74f98bff773fadbd0dcbf
Publikováno v:
Robotics, Vol 8, Iss 1, p 4 (2019)
The increasing trend of studying the innate softness of robotic structures and amalgamating it with the benefits of the extensive developments in the field of embodied intelligence has led to the sprouting of a relatively new yet rewarding sphere of
Externí odkaz:
https://doaj.org/article/c0baca49dfb340428b5c9bbcdff4bf2f
Autor:
Devansh Gupta, Aditya Saini, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Drishti Bhasin, Ponnurangam Kumaraguru, Rajiv Ratn Shah
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Navonil Majumder, Soujanya Poria, Roger Zimmermann, Shagun Uppal, Devamanyu Hazarika, Amir Zadeh, Sarthak Bhagat
Publikováno v:
Information Fusion. 77:149-171
Deep Learning and its applications have cascaded impactful research and development with a diverse range of modalities present in the real-world data. More recently, this has enhanced research interests in the intersection of the Vision and Language
Autor:
Sahil Goyal, Shagun Uppal, Sarthak Bhagat, Dhroov Goel, Sakshat Mali, Yi Yu, Yifang Yin, Rajiv Ratn Shah
Publikováno v:
Proceedings of the 4th ACM International Conference on Multimedia in Asia.
Autor:
Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12961-12962
Targeted image retrieval has long been a challenging problem since each person has a different perception of different features leading to inconsistency among users in describing the details of a particular image. Due to this, each user needs a syste
Autor:
Sarthak Bhagat, P. B. Sujit
Publikováno v:
2020 International Conference on Unmanned Aircraft Systems (ICUAS).
Persistent target tracking in urban environments using UAV is a difficult task due to the limited field of view, visibility obstruction from obstacles and uncertain target motion. The vehicle needs to plan intelligently in 3D such that the target vis
Visual Question Generation (VQG) is the task of generating natural questions based on an image. Popular methods in the past have explored image-to-sequence architectures trained with maximum likelihood which have demonstrated meaningful generated que
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b581c089c633e5d36a12c69bc31896c4
http://arxiv.org/abs/2005.07771
http://arxiv.org/abs/2005.07771
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030654139
ECCV Workshops (6)
ECCV Workshops (6)
Disentangling underlying feature attributes within an image with no prior supervision is a challenging task. Models that can disentangle attributes well, provide greater interpretability and control. In this paper, we propose a self-supervised framew
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::855dd8273c36a78a74deda90921db8d6
https://doi.org/10.1007/978-3-030-65414-6_38
https://doi.org/10.1007/978-3-030-65414-6_38
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
We introduce MGP-VAE (Multi-disentangled-features Gaussian Processes Variational AutoEncoder), a variational autoencoder which uses Gaussian processes (GP) to model the latent space for the unsupervised learning of disentangled representations in vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a6591a4cfaa86311cbf43c13b0a50f2
https://doi.org/10.1007/978-3-030-58592-1_7
https://doi.org/10.1007/978-3-030-58592-1_7