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个人简介
Derek's primary research goal is to model the physical and semantic structure of the world, so computers can better understand scenes from images. In particular, he researches algorithms to interpret physical space from images and to relate objects to their environment and to each other. Example applications include creating 3D models of scenes and objects from one image, photorealistic rendering of object models into images, robot navigation, and creating and matching as-built 3D models of construction scenes to planned models. Derek has published dozens of papers and several patents, and his work has been recognized with awards including an ACM Doctoral Dissertation Award honorable mention, CVPR best paper award, Intel Early Career Faculty award, Sloan Fellowship, and PAMI Significant Young Researcher award. Derek Hoiem is also co-founder and CTO of Reconstruct, which visually documents construction sites, matching images to plans and analyzing productivity and risk for delay.
研究兴趣
论文共 145 篇作者统计合作学者相似作者
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Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman T V, Heyi Tao,Jae Yong Lee, Wilfredo Torres,Yu-Xiong Wang,Derek Hoiem
arxiv(2024)
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Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman T V, Heyi Tao,Jae Yong Lee, Wilfredo Torres-Calderon,Yu-Xiong Wang,Derek Hoiem
CVPR 2024 (2024)
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Journal of Visionno. 9 (2023): 4984-4984
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CoRR (2023)
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Jiasen Lu,Christopher Clark,Sangho Lee, Zichen Zhang, Savya Khosla,Ryan Marten,Derek Hoiem,Aniruddha Kembhavi
CoRR (2023)
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NeurIPS (2023)
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CoRR (2023)
CoRR (2023): 13342-13357
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