Zobrazeno 1 - 10
of 434
pro vyhledávání: '"A. Wele"'
In this paper, we introduce Attention Prompt Tuning (APT) - a computationally efficient variant of prompt tuning for video-based applications such as action recognition. Prompt tuning approaches involve injecting a set of learnable prompts along with
Externí odkaz:
http://arxiv.org/abs/2403.06978
Self-supervised Learning (SSL) aims to learn transferable feature representations for downstream applications without relying on labeled data. The Barlow Twins algorithm, renowned for its widespread adoption and straightforward implementation compare
Externí odkaz:
http://arxiv.org/abs/2312.02151
Autor:
Ranasinghe, Yasiru, Nair, Nithin Gopalakrishnan, Bandara, Wele Gedara Chaminda, Patel, Vishal M.
Crowd counting is a fundamental problem in crowd analysis which is typically accomplished by estimating a crowd density map and summing over the density values. However, this approach suffers from background noise accumulation and loss of density due
Externí odkaz:
http://arxiv.org/abs/2303.12790
Remote Sensing Change Detection (RS-CD) aims to detect relevant changes from Multi-Temporal Remote Sensing Images (MT-RSIs), which aids in various RS applications such as land cover, land use, human development analysis, and disaster response. The pe
Externí odkaz:
http://arxiv.org/abs/2303.09536
Autor:
Vijaya Anil Pandit, Sharwan Kumar Singhal, Gourav Bharat Deshmane, Ranjana Ajit Sahasrabuddhe, Manjiri Neelkanth Karandikar, Madhuri Sadashiv Pawar, Vishakha Sumant Kulkarni, Jayshree Shriram Dawane, Asmita Ashish Wele
Publikováno v:
Journal of Ayurveda and Integrative Medicine, Vol 15, Iss 6, Pp 100980- (2024)
Introduction: The Bhasmas, herbo-minerals, are reported to produce adverse effects when used clinically. Therefore, the present study aimed to assess the safety of Krishna Vajra Abhraka Bhasma (KVB), through acute and subacute toxicity testing. Mater
Externí odkaz:
https://doaj.org/article/8cad80db5dcf4a3887e6c721671d8e58
Generating photos satisfying multiple constraints find broad utility in the content creation industry. A key hurdle to accomplishing this task is the need for paired data consisting of all modalities (i.e., constraints) and their corresponding output
Externí odkaz:
http://arxiv.org/abs/2212.00793
Autor:
Bandara, Wele Gedara Chaminda, Patel, Naman, Gholami, Ali, Nikkhah, Mehdi, Agrawal, Motilal, Patel, Vishal M.
Masked Autoencoders (MAEs) learn generalizable representations for image, text, audio, video, etc., by reconstructing masked input data from tokens of the visible data. Current MAE approaches for videos rely on random patch, tube, or frame-based mask
Externí odkaz:
http://arxiv.org/abs/2211.09120
Autor:
Boris Tchakounte Youngui, Albert Mambo, Rhoderick Machekano, Rogacien Kana, Emilienne Epée, Sylvain Zemsi Tenkeu, Philippe Narcisse Tsigaing, Marie Louise Aimée Ndongo, Christelle Mayap Njoukam, Lawane Bichara, Tatiana Djikeussi Katcho, Muhamed Awolu Mbunka, Terence Acheliu Longla, Leonie Simo, Adrienne Vanessa Kouatchouang, Patrice Tchendjou, Appolinaire Tiam, Laura Guay, Khairunisa Suleiman, Olukunle Akinwusi, Rigveda Kadam, Paula Akugizibwe, Mario Songane, Godfrey Woelk, Boris Kevin Tchounga, Alain Daniel Ndjomo Mba, Mireille Nadine Nanga Dampand, Rita Ngufor Azi, Christian Narcisse Nelle Jembe, Rocard Lele Djouota, Thierry Messomo, Jean Luc Bell Mathias, Jeanne Liliane Mbengue, Martin Gael Mbody, Edy Tchokouani Tchouatcha, Jinette Lorraine Nekame Guedem, Felicite Diane Messina Maga, Alex Miguel Ngeukoue Kamdoum, Ashley Kue Nechi, Judith Mignonne Akono, Patrice Herve Tamssa, Vendeline Amaelle Goretti Mvong, Ferline Gouefack Zogni, Marie Marquiny Tekou Makamte, Patrick Bertin Tawambe, Leonard Ewane, Cyrus Raymond Mbengue Moukouri, Hans Mossi Makembe, Corinne Mbita Nyate, Marie Noel Mengong Bitounou, Gwladys Tientcheu Mendjiegoue, Marlyse Mafopah Fomo, Alphonse Nwatsok A Bessong, Saintiche Flore Nguefack, Nicole Sylvie Nyaloumbe Abedine, Martin Njiken, Franklin Tsague Zangue, Ingrid Ornella Benga Mve, Alice Tegomo Kengue, Anicet Valere Christian Kingue, Nadia Aissatou, Edith Tchuessi Lako, Odette Adomdji Nta, Zara Lawane, Ghislaine Demgne Dada, Georges Christian Yemy, Theodore Edimo Mballa, Charlie Tsamo Querie, Berline Mebong, Jonas Wa, Marie Madeleine Biloa Awono, Wilfried Ganni Wele, Jeanine Kenko, Sophie Larissa Guimbang A Ireke, Nathalie Nguigna Epoune, Armand Joel Ngadje Tchakounte, Amidou Momo Azangue, Franck Adrien Bika Baring, Atikatou Ngamtiate Vessah, Guillaume Ngoule Ngoh, Franck Joel Nyato, Viviane Ngogang, Serges Djobissie Fankou, Rabyatou Elh Aboubakar, Pauline Dervette Ngo Banin, Sylvie Blondine Dipoko
Publikováno v:
EClinicalMedicine, Vol 74, Iss , Pp 102730- (2024)
Summary: Background: Contact tracing was described as a key strategy to contribute to controlling the spread of severe acute respiratory syndrome of Coronavirus 2 (SARS-CoV-2) but implementing it can be a challenge. Digitalisation of contact tracing
Externí odkaz:
https://doaj.org/article/5da0531373e14af78b5588bc2c3c9829
Remote sensing change detection is crucial for understanding the dynamics of our planet's surface, facilitating the monitoring of environmental changes, evaluating human impact, predicting future trends, and supporting decision-making. In this work,
Externí odkaz:
http://arxiv.org/abs/2206.11892
Autor:
Rahman, Aimon, Bandara, Wele Gedara Chaminda, Valanarasu, Jeya Maria Jose, Hacihaliloglu, Ilker, Patel, Vishal M
Due to imaging artifacts and low signal-to-noise ratio in ultrasound images, automatic bone surface segmentation networks often produce fragmented predictions that can hinder the success of ultrasound-guided computer-assisted surgical procedures. Exi
Externí odkaz:
http://arxiv.org/abs/2206.08481