Zobrazeno 1 - 10
of 706
pro vyhledávání: '"Jahagirdar P"'
Autor:
Jahagirdar, Pranshu
AlphaFold, a groundbreaking protein prediction model, has revolutionized protein structure prediction, populating the AlphaFold Protein Database (AFDB) with millions of predicted structures. However, AlphaFold's accuracy in predicting proteins with i
Externí odkaz:
http://arxiv.org/abs/2412.11229
Autor:
Kang, Feiyang, Just, Hoang Anh, Sun, Yifan, Jahagirdar, Himanshu, Zhang, Yuanzhi, Du, Rongxing, Sahu, Anit Kumar, Jia, Ruoxi
This work focuses on leveraging and selecting from vast, unlabeled, open data to pre-fine-tune a pre-trained language model. The goal is to minimize the need for costly domain-specific data for subsequent fine-tuning while achieving desired performan
Externí odkaz:
http://arxiv.org/abs/2405.02774
Researchers have extensively studied the field of vision and language, discovering that both visual and textual content is crucial for understanding scenes effectively. Particularly, comprehending text in videos holds great significance, requiring bo
Externí odkaz:
http://arxiv.org/abs/2309.01380
Text-based VQA aims at answering questions by reading the text present in the images. It requires a large amount of scene-text relationship understanding compared to the VQA task. Recent studies have shown that the question-answer pairs in the datase
Externí odkaz:
http://arxiv.org/abs/2308.00295
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol 2015, Iss default, Pp 657-668 (2015)
Fan Zhang,1 Tianmei Si,2,3 Chiun-Fang Chiou,4 Anthony WF Harris,5 Chang Yoon Kim,6 Padmashree Jahagirdar,7 Steve Ascher8 1Xian Janssen Pharmaceuticals, Beijing, People’s Republic of China; 2Department of Clinical Psychopharmacology, Peking Universi
Externí odkaz:
https://doaj.org/article/c4f7c99c20f64a76bfe01849b0f32994
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Pages: 5588-5596, 2023
Growing interest in conversational agents promote twoway human-computer communications involving asking and answering visual questions have become an active area of research in AI. Thus, generation of visual questionanswer pair(s) becomes an importan
Externí odkaz:
http://arxiv.org/abs/2306.06622
Autor:
Nagpal, Ritayu, Long, Sam, Jahagirdar, Shahid, Liu, Weiwei, Fazackerley, Scott, Lawrence, Ramon, Singh, Amritpal
Tree fruit breeding is a long-term activity involving repeated measurements of various fruit quality traits on a large number of samples. These traits are traditionally measured by manually counting the fruits, weighing to indirectly measure the frui
Externí odkaz:
http://arxiv.org/abs/2302.06698
We present a novel problem of text-based visual question generation or TextVQG in short. Given the recent growing interest of the document image analysis community in combining text understanding with conversational artificial intelligence, e.g., tex
Externí odkaz:
http://arxiv.org/abs/2211.12950
Video Question Answering methods focus on commonsense reasoning and visual cognition of objects or persons and their interactions over time. Current VideoQA approaches ignore the textual information present in the video. Instead, we argue that textua
Externí odkaz:
http://arxiv.org/abs/2211.05588
Autor:
Vaishnavi Jahagirdar, Lenisha Ashlyn Sequeira, Nabeel Kinattingal, Tamsheel Fatima Roohi, Sultan Alshehri, Faiyaz Shakeel, Seema Mehdi
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-9 (2024)
Abstract Objective Social media (SM), with its addictive nature and the accompanying psychosocial challenges such as stress, anxiety, and depression, is the primary factor exacerbating mental health problems and adversely impacting individuals’ wel
Externí odkaz:
https://doaj.org/article/d3f19c8c262c461a92ddb127ec89e2a6