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Pat Hanrahan

Automating Program Structure Classification

Jan 15, 2021
Will Crichton, Georgia Gabriela Sampaio, Pat Hanrahan

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* To appear at SIGCSE 2021

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Scanner: Efficient Video Analysis at Scale

May 18, 2018
Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian

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* 14 pages, 14 figuers

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Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

Oct 27, 2017
Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas

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Submodular Trajectory Optimization for Aerial 3D Scanning

Aug 04, 2017
Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi

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* Accepted for publication at the International Conference on Computer Vision (ICCV) 2017; Supplementary video: http://www.youtube.com/watch?v=89fFmfVZSO8

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Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks

Oct 13, 2016
Daniel Ritchie, Anna Thomas, Pat Hanrahan, Noah D. Goodman

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* Neural Information Processing Systems (NIPS 2016)

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