Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Brojeshwar Bhowmick"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:10826-10833
Robotic task instructions often involve a referred object that the robot must locate (ground) within the environment. While task intent understanding is an essential part of natural language understanding, less effort is made to resolve ambiguity tha
Publikováno v:
Multimedia Tools and Applications.
Autor:
Lokender Tiwari, Brojeshwar Bhowmick
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Autor:
Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna
Object Goal Navigation requires a robot to find and navigate to an instance of a target object class in a previously unseen environment. Our framework incrementally builds a semantic map of the environment over time, and then repeatedly selects a lon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7d71428d467c2fc7a0932d1cee9d441
http://arxiv.org/abs/2208.13009
http://arxiv.org/abs/2208.13009
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Autor:
Dibyendu Roy, Raj Rakshit, Arpan Pal, Tapas Chakravarty, Arijit Sinharay, Brojeshwar Bhowmick
Publikováno v:
IEEE Sensors Journal. 20:10924-10935
In this paper, we propose a novel non-contact vibration measurement system that is competent in estimating linear and/or rotational motions of machine parts. The technique combines microwave radar, standard camera, and optical strobe to capture vibra
Autor:
Abhijan Bhattacharyya, Ashis Sau, Ruddra Dev Roychoudhury, Snehasis Banerjee, Chayan Sarkar, Pradip Pramanick, Madhurima Ganguly, Brojeshwar Bhowmick, B Purushothaman
Publikováno v:
2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS).
Despite the significant progress in recent years, very few of the AI-based talking face generation methods attempt to render natural emotions. Moreover, the scope of the methods is majorly limited to the characteristics of the training dataset, hence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a88cb79c6e2902df414f35d177c75a
Publikováno v:
Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing.