Zobrazeno 1 - 10
of 4 458
pro vyhledávání: '"Teli, A."'
Autor:
Wang, Mengmeng, Ma, Teli, Xin, Shuo, Hou, Xiaojun, Xing, Jiazheng, Dai, Guang, Wang, Jingdong, Liu, Yong
Visual Object Tracking (VOT) is an attractive and significant research area in computer vision, which aims to recognize and track specific targets in video sequences where the target objects are arbitrary and class-agnostic. The VOT technology could
Externí odkaz:
http://arxiv.org/abs/2412.09991
Inferring affordable (i.e., graspable) parts of arbitrary objects based on human specifications is essential for robots advancing toward open-vocabulary manipulation. Current grasp planners, however, are hindered by limited vision-language comprehens
Externí odkaz:
http://arxiv.org/abs/2411.12286
Autor:
Dhuria, Mansi, Teli, Bishnu Gupta
In this study, we investigate the constraints on secret self-interactions of neutrinos by examining the impact of radiative scattering of ultra-high-energy (UHE) neutrinos. These neutrinos are produced from the decay of superheavy dark matter and int
Externí odkaz:
http://arxiv.org/abs/2406.19279
Learning generalizable visual representations across different embodied environments is essential for effective robotic manipulation in real-world scenarios. However, the limited scale and diversity of robot demonstration data pose a significant chal
Externí odkaz:
http://arxiv.org/abs/2406.14235
Developing robots capable of executing various manipulation tasks, guided by natural language instructions and visual observations of intricate real-world environments, remains a significant challenge in robotics. Such robot agents need to understand
Externí odkaz:
http://arxiv.org/abs/2406.09738
Autor:
Saxena, Sagar, Teli, Mohammad Nayeem
Deep generative models have been applied to multiple applications in image-to-image translation. Generative Adversarial Networks and Diffusion Models have presented impressive results, setting new state-of-the-art results on these tasks. Most methods
Externí odkaz:
http://arxiv.org/abs/2402.12531
Autor:
Teli, John Sudeep1 (AUTHOR) jteli1@student.gsu.edu, Rai, Arun1 (AUTHOR) arunrai@gsu.edu, Lin, Yu-Kai1 (AUTHOR) yklin@gsu.edu
Publikováno v:
Journal of Management Information Systems. 2024, Vol. 41 Issue 2, p422-452. 31p.
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract An environmentally friendly, versatile multicomponent reaction for synthesizing isoxazol-5-one and pyrazol-3-one derivatives has been developed, utilizing a freshly prepared g-C3N4· OH nanocomposite as a highly efficient catalyst at room te
Externí odkaz:
https://doaj.org/article/81052fd350b1422b968fb22cb14e4a40
LiDAR semantic segmentation plays a crucial role in enabling autonomous driving and robots to understand their surroundings accurately and robustly. A multitude of methods exist within this domain, including point-based, range-image-based, polar-coor
Externí odkaz:
http://arxiv.org/abs/2309.07849
Siamese network has been a de facto benchmark framework for 3D LiDAR object tracking with a shared-parametric encoder extracting features from template and search region, respectively. This paradigm relies heavily on an additional matching network to
Externí odkaz:
http://arxiv.org/abs/2308.12549