Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Boaz Arad"'
Publikováno v:
Sensors, Vol 19, Iss 6, p 1390 (2019)
Current harvesting robots are limited by low detection rates due to the unstructured and dynamic nature of both the objects and the environment. State-of-the-art algorithms include color- and texture-based detection, which are highly sensitive to the
Externí odkaz:
https://doaj.org/article/805db9e9033946edb71becaa5d2caa6a
Autor:
Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yaqi Wu, Xun Wu, Zhihao Fan, Chenjie Xia, Feng Zhang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Mingwei Zhang, Kai Feng, Xun Zhang, Jiaxin Yao, Yongqiang Zhao, Suina Ma, Fan He, Yangyang Dong, Shufang Yu, Difa Qiu, Jinhui Liu, Mengzhao Bi, Beibei Song, WenFang Sun, Jiesi Zheng, Bowen Zhao, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Xiangyu Kong, Jingbo Yu, Yuanyang Xue, Zheng Xie
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Autor:
Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabarinathan Sabarinathan, K Uma, B Sathya Bama, S. Mohamed Mansoor Roomi
This paper reviews the third biennial challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. This challenge presents the "ARAD_1K"data set: a new, larger-than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b14c6f9646b01a471ce946e43634fa64
http://hdl.handle.net/11583/2971543
http://hdl.handle.net/11583/2971543
Autor:
Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu ZHU, Junhui HOU, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K Uma, D Synthiya Vinothini, B Sathya Bama, S M Md Mansoor Roomi
Publikováno v:
CVPR Workshops
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole- scene hyperspectral (HS) information from a 3-channel RGB image. As in the previous challenge, two tracks were provided: (i) a "Clean" tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e50ad478df948cdbebb174500d1606c8
https://strathprints.strath.ac.uk/77252/1/Arad_etal_IEEE_2020_NTIRE_2020_challenge_on_spectral_reconstruction_from_an_RGB.pdf
https://strathprints.strath.ac.uk/77252/1/Arad_etal_IEEE_2020_NTIRE_2020_challenge_on_spectral_reconstruction_from_an_RGB.pdf
Autor:
Ola Ringdahl, Jos Balendonck, Jochen Hemming, Boaz Arad, Yael Edan, Polina Kurtser, R. Barth, Thomas Hellström, Bart van Tuijl, Ohad Ben-Shahar, Toon Tielen
Publikováno v:
Journal of Field Robotics 37 (2020) 6
Journal of Field Robotics, 37(6)
Journal of Field Robotics, 37(6)
This paper presents the development, testing and validation of SWEEPER, a robot for harvesting sweet pepper fruit in greenhouses. The robotic system includes a six degrees of freedom industrial arm equipped with a specially designed end effector, RGB
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97baab1f8c48b03a2d7bc6cef98a486e
https://research.wur.nl/en/publications/development-of-a-sweet-pepper-harvesting-robot
https://research.wur.nl/en/publications/development-of-a-sweet-pepper-harvesting-robot
Autor:
Boaz Arad, Dong Liu, Feng Wu, Charis Lanaras, Silvano Galliani, Konrad Schindler, Tarek Stiebel, Simon Koppers, Philipp Seltsam, Ruofan Zhou, Majed El Helou, Ohad Ben-Shahar, Fayez Lahoud, Marjan Shahpaski, Ke Zheng, Lianru Gao, Bing Zhang, Ximin Cui, Haoyang Yu, Yigit Baran Can, Aitor Alvarez-Gila, Joost van de Weijer, Radu Timofte, Estibaliz Garrote, Adrian Galdran, Manoj Sharma, Sriharsha Koundinya, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Himanshu Sharma, Santanu Chaudhury, Koushik Nagasubramanian, Luc Van Gool, Sambuddha Ghosal, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Lei Zhang, Ming-Hsuan Yang, Zhiwei Xiong, Chang Chen, Zhan Shi
Publikováno v:
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
ISBN:978-1-5386-6100-0
ISBN:978-1-5386-6100-0
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f188b0528df64df0519a5aacfa92da3
Autor:
Amir Shani, Boaz Arad
Publikováno v:
Tourism Management. 47:348-351
In this response to Hall et al., we addressed the various criticisms raised in their rejoinder about the validity of our arguments for climate-change skepticism. The so-called consensus on anthropogenic climate change is challenged, and doubts are ca
Autor:
Boaz Arad, Ohad Ben-Shahar
Publikováno v:
ICCV
While recovery of hyperspectral signals from natural RGB images has been a recent subject of exploration, little to no consideration has been given to the camera response profiles used in the recovery process. In this paper we demonstrate that optima
Autor:
Boaz Arad, Amir Shani
Publikováno v:
Tourism Management. 44:82-85
Tourism scholars tend to endorse the most pessimistic assessments regarding climate change, despite the fact that it is a highly controversial scientific topic. This research note provides the balance that is missing from the overly alarmist studies
Publikováno v:
Sensors
Volume 19
Issue 6
Sensors, Vol 19, Iss 6, p 1390 (2019)
Sensors (Basel, Switzerland)
Volume 19
Issue 6
Sensors, Vol 19, Iss 6, p 1390 (2019)
Sensors (Basel, Switzerland)
Current harvesting robots are limited by low detection rates due to the unstructured and dynamic nature of both the objects and the environment. State-of-the-art algorithms include color- and texture-based detection, which are highly sensitive to the