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职业迁徙
个人简介
Sourav is a robotic-vision enthusiast. His research spans computer vision, robotics and deep learning, motivated by practical applications that involve a moving camera. He pioneered research in the twin challenge of visual place recognition that requires dealing with scene appearance and camera viewpoint simultaneously. His award-winning research and PhD thesis proposed novel ways of robot localization based on visual semantics, inspired by humans. He is always keen on exploring research problems related to scene understanding and robot navigation, particularly those revolving around effective representation and matching of visual information.
研究兴趣
论文共 51 篇作者统计合作学者相似作者
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Nikhil Keetha, Avneesh Mishra,Jay Karhade,Krishna Murthy Jatavallabhula,Sebastian Scherer, Madhava Krishna,Sourav Garg
IEEE ROBOTICS AND AUTOMATION LETTERSno. 2 (2024): 1286-1293
IEEE Robotics & Automation Magazineno. 99 (2023): 2-16
arxiv(2023)
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arXiv (Cornell University) (2023)
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arXiv (Cornell University)pp.23-72, (2023)
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 5258-5265
CoRR (2023): 4623-4628
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