Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jayan Eledath"'
Video Instance Segmentation (VIS) aims to simultaneously classify, segment, and track multiple object instances in videos. Recent clip-level VIS takes a short video clip as input each time showing stronger performance than frame-level VIS (tracking-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f41debd8d63a6c8b615660c4a8ddfc3
http://arxiv.org/abs/2203.01853
http://arxiv.org/abs/2203.01853
Autor:
Donghyun Kim, Bryan A. Plummer, Stan Sclaroff, Ning Xu, Gerard Medioni, Chuhang Zou, Jayan Eledath, Tian Lan
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Prior work in multi-task learning has mainly focused on predictions on a single image. In this work, we present a new approach for multi-task learning from videos via efficient inter-frame local attention (MILA). Our approach contains a novel inter-f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::996b8591dcbc1bb33e6e5ae31af8c3d3
https://doi.org/10.1109/iccvw54120.2021.00251
https://doi.org/10.1109/iccvw54120.2021.00251
Publikováno v:
CVPR
We consider the task of 3D pose estimation and tracking of multiple people seen in an arbitrary number of camera feeds. We propose TesseTrack1, a novel top-down approach that simultaneously reasons about multiple individuals’ 3D body joint reconstr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1438274140d07ac3c901cd9f9cbfe40
https://doi.org/10.1109/cvpr46437.2021.01494
https://doi.org/10.1109/cvpr46437.2021.01494
Autor:
Gerard Medioni, Chris Broaddus, Jayan Eledath, Behjat Siddiquie, Leonid Sigal, Mohammed Suhail, Abhay Mittal
Publikováno v:
CVPR
Traditional scene graph generation methods are trained using cross-entropy losses that treat objects and relationships as independent entities. Such a formulation, however, ignores the structure in the output space, in an inherently structured predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::845f78127625113650e0369ddcd518b9
Publikováno v:
WACV
The problem of training a classifier from a handful of positive examples, without having to supply class specific negatives is of great practical importance. The proposed approach to solving this problem builds on the idea of training LDA classifiers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc474cfe90b54e2fb160a6bca278c17e
https://doi.org/10.1109/wacv.2015.63
https://doi.org/10.1109/wacv.2015.63
Autor:
Lu, Wang, Vinutha, Kallem, Mayank, Bansal, Jayan, Eledath, Harpreet, Sawhney, Karen, Karp, Denise J, Pearson, Monte D, Mills, Graham E, Quinn, Richard A, Stone
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 16(Pt 2)
Despite recent advances, automatic blood vessel extraction from low quality retina images remains difficult. We propose an interactive approach that enables a user to efficiently obtain near perfect vessel segmentation with a few mouse clicks. Given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::57b71838143dbebe93318f2ef17183a3
https://pubmed.ncbi.nlm.nih.gov/24579186
https://pubmed.ncbi.nlm.nih.gov/24579186
Autor:
Richard A. Stone, Lu Wang, Jayan Eledath, V. Kallem, Denise J. Pearson, Mayank Bansal, Harpreet Sawhney
Publikováno v:
WACV
Important diagnostic criteria for glaucoma are changes in the 3D structure of the optic disc due to optic nerve damage. We propose an automatic approach for detecting these changes in 3D models reconstructed from fundus images of the same patient tak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4068f5ecd69e7207b0cf13b30f87ddca
https://doi.org/10.1109/wacv.2014.6836072
https://doi.org/10.1109/wacv.2014.6836072
Autor:
Karen A. Karp, Lu Wang, Graham E. Quinn, Richard A. Stone, Denise J. Pearson, Mayank Bansal, Harpreet Sawhney, V. Kallem, Monte D. Mills, Jayan Eledath
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783642387081
MICCAI (2)
MICCAI (2)
Despite recent advances, automatic blood vessel extraction from low quality retina images remains difficult. We propose an interactive approach that enables a user to efficiently obtain near perfect vessel segmentation with a few mouse clicks. Given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b2de3c71c4effffebc687fc7e1c258e
https://doi.org/10.1007/978-3-642-40763-5_70
https://doi.org/10.1007/978-3-642-40763-5_70
Publikováno v:
TePRA
This paper presents an on-the-move pedestrian detection system that utilizes multiple sensor modalities to improve detection rates at deployable computational loads. The system was developed for a vehicle moving up to 40 kph that can detect moving pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f0d35798978325215961cc57d816d3b
https://doi.org/10.1109/tepra.2012.6215671
https://doi.org/10.1109/tepra.2012.6215671
Autor:
Richard A. Stone, Mayank Bansal, Harpreet Sawhney, Denise J. Pearson, Sujit Kuthirummal, Jayan Eledath
Publikováno v:
HISB
Analyzing change in the 3D structure of the optic disc over time has long been recognized as central to the diagnosis of glaucoma but has been inadequately addressed by computer vision methods. Currently, clinicians examine stereo pairs from differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::734464574a1389d126c4fad768997e05
https://doi.org/10.1109/hisb.2011.1
https://doi.org/10.1109/hisb.2011.1