Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mian, Ajmal Saeed"'
Language based editing of 3D human avatars to precisely match user requirements is challenging due to the inherent ambiguity and limited expressiveness of natural language. To overcome this, we propose the Avatar Concept Slider (ACS), a 3D avatar edi
Externí odkaz:
http://arxiv.org/abs/2408.13995
Fully-supervised category-level pose estimation aims to determine the 6-DoF poses of unseen instances from known categories, requiring expensive mannual labeling costs. Recently, various self-supervised category-level pose estimation methods have bee
Externí odkaz:
http://arxiv.org/abs/2403.12728
Autor:
Li, Congliang, Sun, Shijie, Song, Xiangyu, Song, Huansheng, Akhtar, Naveed, Mian, Ajmal Saeed
Multiple object detection and pose estimation are vital computer vision tasks. The latter relates to the former as a downstream problem in applications such as robotics and autonomous driving. However, due to the high complexity of both tasks, existi
Externí odkaz:
http://arxiv.org/abs/2211.11188
Although response generation (RG) diversification for single-turn dialogs has been well developed, it is less investigated for natural multi-turn conversations. Besides, past work focused on diversifying responses without considering topic coherence
Externí odkaz:
http://arxiv.org/abs/1910.11161
Autor:
Mian, Ajmal Saeed
[Truncated abstract] The aim of visual recognition is to identify objects in a scene and estimate their pose. Object recognition from 2D images is sensitive to illumination, pose, clutter and occlusions. Object recognition from range data on the othe
Externí odkaz:
http://theses.library.uwa.edu.au/adt-WU2007.0046
Autor:
Mian, Ajmal Saeed.
Publikováno v:
Connect to this title.
Thesis (Ph.D.)--University of Western Australia, 2007.
Externí odkaz:
http://theses.library.uwa.edu.au/adt-WU2007.0046
Autor:
Mian, Ajmal Saeed1 (AUTHOR) ajmal.mian@uwa.edu.au, Wang, Lei2 (AUTHOR), Wang, Ruiping3 (AUTHOR), Laga, Hamid4 (AUTHOR), Akhtar, Naveed1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Jul2021, Vol. 33 Issue 13, p7309-7309. 1p.
Publikováno v:
Computer Vision - ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V; 2015, p626-641, 16p
Publikováno v:
IEEE transactions on visualization and computer graphics [IEEE Trans Vis Comput Graph] 2024 Aug 20; Vol. PP. Date of Electronic Publication: 2024 Aug 20.