Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Chari, Visesh"'
Autor:
Zheng, Jingxiao, Shi, Xinwei, Gorban, Alexander, Mao, Junhua, Song, Yang, Qi, Charles R., Liu, Ting, Chari, Visesh, Cornman, Andre, Zhou, Yin, Li, Congcong, Anguelov, Dragomir
3D human pose estimation (HPE) in autonomous vehicles (AV) differs from other use cases in many factors, including the 3D resolution and range of data, absence of dense depth maps, failure modes for LiDAR, relative location between the camera and LiD
Externí odkaz:
http://arxiv.org/abs/2112.12141
A key assumption of top-down human pose estimation approaches is their expectation of having a single person/instance present in the input bounding box. This often leads to failures in crowded scenes with occlusions. We propose a novel solution to ov
Externí odkaz:
http://arxiv.org/abs/2101.11223
Autor:
Tripathi, Shashank, Chandra, Siddhartha, Agrawal, Amit, Tyagi, Ambrish, Rehg, James M., Chari, Visesh
We present a task-aware approach to synthetic data generation. Our framework employs a trainable synthesizer network that is optimized to produce meaningful training samples by assessing the strengths and weaknesses of a `target' network. The synthes
Externí odkaz:
http://arxiv.org/abs/1904.05475
View-graph is an essential input to large-scale structure from motion (SfM) pipelines. Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph. Inconsistent or inaccurate edges can lead to inferior or wrong reconstru
Externí odkaz:
http://arxiv.org/abs/1708.01125
Autor:
Chari, Visesh
Un des modèles les plus simples de surface de réfraction est une surface plane. Bien que sa présence soit omniprésente dans notre monde sous la forme de vitres transparentes, de fenêtres, ou la surface d'eau stagnante, très peu de choses sont c
Externí odkaz:
http://www.theses.fr/2012GRENM106/document
Image based reconstruction of urban environments is a challenging problem that deals with optimization of large number of variables, and has several sources of errors like the presence of dynamic objects. Since most large scale approaches make the as
Externí odkaz:
http://arxiv.org/abs/1504.07269
Publikováno v:
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 5537-5545
Multi-object tracking has been recently approached with the min-cost network flow optimization techniques. Such methods simultaneously resolve multiple object tracks in a video and enable modeling of dependencies among tracks. Min-cost network flow m
Externí odkaz:
http://arxiv.org/abs/1408.3304
Autor:
Hafez, A. H. Abdul, Chari, Visesh
We present an algorithm for highly reliable tracking of planar objects using visual cues like texture and contour in presence of feature correspondence errors. These two cues are integrated using a probabilistic formulation. The integration is based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3550::c8243a7a2b10a221bbf4c60f412e9935
https://hdl.handle.net/20.500.11782/643
https://hdl.handle.net/20.500.11782/643
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Akademický článek
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