Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Reddy, N Dinesh"'
Current methods for 2D and 3D object understanding struggle with severe occlusions in busy urban environments, partly due to the lack of large-scale labeled ground-truth annotations for learning occlusion. In this work, we introduce a novel framework
Externí odkaz:
http://arxiv.org/abs/2403.19022
Building animatable 3D models is challenging due to the need for 3D scans, laborious registration, and manual rigging, which are difficult to scale to arbitrary categories. Recently, differentiable rendering provides a pathway to obtain high-quality
Externí odkaz:
http://arxiv.org/abs/2305.06351
Real-time efficient perception is critical for autonomous navigation and city scale sensing. Orthogonal to architectural improvements, streaming perception approaches have exploited adaptive sampling improving real-time detection performance. In this
Externí odkaz:
http://arxiv.org/abs/2303.14311
Dynamic scene understanding is a challenging problem and motion segmentation plays a crucial role in solving it. Incorporating semantics and motion enhances the overall perception of the dynamic scene. For applications of outdoor robotic navigation,
Externí odkaz:
http://arxiv.org/abs/1704.08331
Real time outdoor navigation in highly dynamic environments is an crucial problem. The recent literature on real time static SLAM don't scale up to dynamic outdoor environments. Most of these methods assume moving objects as outliers or discard the i
Externí odkaz:
http://arxiv.org/abs/1608.01024
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
While the literature has been fairly dense in the areas of scene understanding and semantic labeling there have been few works that make use of motion cues to embellish semantic performance and vice versa. In this paper, we address the problem of sem
Externí odkaz:
http://arxiv.org/abs/1504.06587
Detecting multiple planes in images is a challenging problem, but one with many applications. Recent work such as J-Linkage and Ordered Residual Kernels have focussed on developing a domain independent approach to detect multiple structures. These mu
Externí odkaz:
http://arxiv.org/abs/1312.6506
Autor:
Reddy, N. Dinesh Kumar, Pramila
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2822 Issue 1, p1-8, 8p
Publikováno v:
ACM International Conference Proceeding Series; Dec2014, p1-8, 8p