基本信息
浏览量:112

个人简介
Saket Anand is an Assistant Professor at Indraprastha Institute of Information Technology (IIIT), Delhi. He completed his PhD in Electrical and Computer Engineering from Rutgers University in 2013. He was part of the Robust Image Understanding Lab at Rutgers and his current research interests are design of robust statistical methods for heavily corrupted data, 3D scene reconstruction techniques and semi-supervised clustering methods. From 2007 to 2010, he worked as a research engineer at Read-Ink Technologies, Bangalore, developing algorithms for handwriting recognition. His Masters research carried out at Rutgers (2004-2006) involved design and implementation of face recognition and speech recognition algorithms. He is a member of the IEEE.
研究兴趣
论文共 84 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
IEEE/CVF Winter Conference on Applications of Computer Visionpp.3811-3820, (2024)
THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 20pp.21879-21887, (2024)
Annual International Conference on Mobile Computing and Networkingpp.2239-2241, (2024)
Brian Clipp, Emanuela Marasco, Rana Hanocka, Anh Nguyen, Sathyanarayanan N. Aakur, Segun Adebayo, Ehsan Adeli, Mahmoud Afifi, Mohsen Ali,Saket Anand,Chetan Arora, Yasuhisa Asano, Mohammad Salman, Asif Hadar, Averbuch-Elor Yannis, Avrithis Venkatesh, Babu Lamberto, Ballan Sandipan Banerjee, Adrian Barbu,João P. Barreto, Adrien Bartoli,Sara Beery, Soma Biswas, Damian Borth, Eric Brachmann, Matthew A. Brown, Michael Brown, Andrei Hyung, Jae‐Woong Chang, Chen
openalex(2024)
Depanshu Sani,Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal,Charu Chandra Devshali,Saket Anand,Gaurav Arora,Thiagarajan Jayaraman
CoRR (2024)
引用0浏览0EI引用
0
0
International Conference on Pattern Recognitionpp.380-398, (2024)
openalex(2023)
加载更多
作者统计
#Papers: 84
#Citation: 1184
H-Index: 16
G-Index: 34
Sociability: 5
Diversity: 2
Activity: 24
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn