Zobrazeno 1 - 10
of 6 257
pro vyhledávání: '"A. P. Vora"'
This paper presents a novel approach for cross-view synthesis aimed at generating plausible ground-level images from corresponding satellite imagery or vice versa. We refer to these tasks as satellite-to-ground (Sat2Grd) and ground-to-satellite (Grd2
Externí odkaz:
http://arxiv.org/abs/2412.03315
In the context of axion search with haloscopes, tunable cavity resonators with high quality factor and high effective volume at frequencies above about 8 GHz are central for probing the axion-photon coupling with the required sensitivity to reach the
Externí odkaz:
http://arxiv.org/abs/2410.07774
The ground-to-satellite image matching/retrieval was initially proposed for city-scale ground camera localization. This work addresses the problem of improving camera pose accuracy by ground-to-satellite image matching after a coarse location and ori
Externí odkaz:
http://arxiv.org/abs/2409.06471
Semantic segmentation has emerged as a pivotal area of study in computer vision, offering profound implications for scene understanding and elevating human-machine interactions across various domains. While 2D semantic segmentation has witnessed sign
Externí odkaz:
http://arxiv.org/abs/2407.16102
Autor:
de la Torre, A., Wang, Q., Campbell, B., Riffle, J. V., Balasundaram, D., Vora, P. M., Ruff, J. P. C., Hollen, S. M., Plumb, K. W.
Ultrafast light-matter interaction has emerged as a new mechanism to exert control over the macroscopic properties of quantum materials toward novel functionality. To date, technological applications of these non-thermal phases are limited by their u
Externí odkaz:
http://arxiv.org/abs/2407.07953
Autor:
Majumder, Bodhisattwa Prasad, Surana, Harshit, Agarwal, Dhruv, Mishra, Bhavana Dalvi, Meena, Abhijeetsingh, Prakhar, Aryan, Vora, Tirth, Khot, Tushar, Sabharwal, Ashish, Clark, Peter
Can the rapid advances in code generation, function calling, and data analysis using large language models (LLMs) help automate the search and verification of hypotheses purely from a set of provided datasets? To evaluate this question, we present Di
Externí odkaz:
http://arxiv.org/abs/2407.01725
Mobile robots and autonomous vehicles are often required to function in environments where critical position estimates from sensors such as GPS become uncertain or unreliable. Single image visual place recognition (VPR) provides an alternative for lo
Externí odkaz:
http://arxiv.org/abs/2407.00863
Autor:
Roohani, Yusuf, Lee, Andrew, Huang, Qian, Vora, Jian, Steinhart, Zachary, Huang, Kexin, Marson, Alexander, Liang, Percy, Leskovec, Jure
Agents based on large language models have shown great potential in accelerating scientific discovery by leveraging their rich background knowledge and reasoning capabilities. In this paper, we introduce BioDiscoveryAgent, an agent that designs new e
Externí odkaz:
http://arxiv.org/abs/2405.17631
Autor:
Chen, Jingyuan, Yang, Yunze, Feng, Hongying, Zhang, Lian, Vargas, Carlos E., Yu, Nathan Y., Rwigema, Jean-Claude M., Keole, Sameer R., Vora, Sujay A., Shen, Jiajian, Liu, Wei
Purpose: Historically, spot scanning proton therapy (SSPT) treatment planning utilizes dose volume constraints and linear-energy-transfer (LET) volume constraints separately to balance tumor control and organs-at-risk (OARs) protection. We propose a
Externí odkaz:
http://arxiv.org/abs/2405.03916
Autor:
Zhang, Yanhao, Shi, Yujiao, Wang, Shan, Vora, Ankit, Perincherry, Akhil, Chen, Yongbo, Li, Hongdong
Vision-based localization for autonomous driving has been of great interest among researchers. When a pre-built 3D map is not available, the techniques of visual simultaneous localization and mapping (SLAM) are typically adopted. Due to error accumul
Externí odkaz:
http://arxiv.org/abs/2404.09169