Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Balaji Vasan Srinivasan"'
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Prateksha Udhayanan, Suryateja Bv, Parth Laturia, Dev Chauhan, Darshan Khandelwal, Stefano Petrangeli, Balaji Vasan Srinivasan
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Vinay Aggarwal, Praneetha Vaddamanu, Bhanu Prakash Reddy Guda, Balaji Vasan Srinivasan, Niyati Chhaya, Vishwa Vinay
Publikováno v:
CHI Conference on Human Factors in Computing Systems Extended Abstracts.
Autor:
Praneetha Vaddamanu, Vinay Aggarwal, Bhanu Prakash Reddy Guda, Balaji Vasan Srinivasan, Niyati Chhaya
Publikováno v:
CHI Conference on Human Factors in Computing Systems Extended Abstracts.
Publikováno v:
International Journal of Machine Learning and Computing. 9:615-620
Autor:
Trikay Nalamada, Pranav Goel, Keerti Harpavat, Balaji Vasan Srinivasan, Gaurav Verma, Aman Mishra
Publikováno v:
IUI
As videos progressively take a central role in conveying information on the Web, current linear-consumption methods that involve spending time proportional to the duration of the video need to be revisited. In this work, we present NoVoExp, a method
Autor:
Kiran Kumar, Aparna Garimella, Balaji Vasan Srinivasan, Niyati Chhaya, Anandhavelu N, Akhash Amarnath, Akash Pramod Yalla
Publikováno v:
ACL/IJCNLP (Findings)
Autor:
Jatin Lamba, Balaji Vasan Srinivasan, Aishwarya Agarwal, Hrituraj Singh, Denil Mehta, Anshul Nasery
Publikováno v:
NAACL-HLT
Multimodal research has picked up significantly in the space of question answering with the task being extended to visual question answering, charts question answering as well as multimodal input question answering. However, all these explorations pr
Publikováno v:
EACL
Author stylized rewriting is the task of rewriting an input text in a particular author's style. Recent works in this area have leveraged Transformer-based language models in a denoising autoencoder setup to generate author stylized text without rely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d487423b2c3d89f6c2534b73b2c4a90
Publikováno v:
EMNLP (Findings)
While recent advances in language modeling have resulted in powerful generation models, their generation style remains implicitly dependent on the training data and can not emulate a specific target style. Leveraging the generative capabilities of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::911b5139c737a48ff7fde1f99313d767
http://arxiv.org/abs/2010.11553
http://arxiv.org/abs/2010.11553