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ORCIDFrédo Durand
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- affiliation: Massachusetts Institute of Technology, Cambridge, USA
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2020 – today
- 2024
[c102]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-Step Diffusion with Distribution Matching Distillation. CVPR 2024: 6613-6623- [c101]Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, Bill Freeman, Mark J. Matthews:
Alchemist: Parametric Control of Material Properties with Diffusion Models. CVPR 2024: 24130-24141 - [c100]Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze:
Gemino: Practical and Robust Neural Compression for Video Conferencing. NSDI 2024: 569-590 - [i37]Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman:
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR abs/2405.14867 (2024) - 2023
- [j123]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. Trans. Mach. Learn. Res. 2023 (2023) - [j122]Prafull Sharma
, Julien Philip, Michaël Gharbi, Bill Freeman, Frédo Durand, Valentin Deschaintre:
Materialistic: Selecting Similar Materials in Images. ACM Trans. Graph. 42(4): 154:1-154:14 (2023) - [j121]Sai Praveen Bangaru, Lifan Wu, Tzu-Mao Li, Jacob Munkberg, Gilbert Bernstein, Jonathan Ragan-Kelley, Frédo Durand, Aaron E. Lefohn, Yong He:
SLANG.D: Fast, Modular and Differentiable Shader Programming. ACM Trans. Graph. 42(6): 264:1-264:28 (2023) - [c99]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR 2023 - [c98]Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Frédo Durand, Bill Freeman, Vincent Sitzmann:
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. NeurIPS 2023 - [c97]Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell:
Can Shadows Reveal Biometric Informationƒ. WACV 2023: 869-879 - [d1]Yang Liu, Gregory W. Wornell, William T. Freeman, Frédo Durand:
Privacy Dual Imaging. Zenodo, 2023
- [i36]Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, Song Han:
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention. CoRR abs/2305.10431 (2023) - [i35]Prafull Sharma, Julien Philip, Michaël Gharbi, William T. Freeman, Frédo Durand, Valentin Deschaintre:
Materialistic: Selecting Similar Materials in Images. CoRR abs/2305.13291 (2023) - [i34]Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum, Frédo Durand, William T. Freeman, Vincent Sitzmann:
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. CoRR abs/2306.11719 (2023) - [i33]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-step Diffusion with Distribution Matching Distillation. CoRR abs/2311.18828 (2023) - [i32]Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, William T. Freeman, Mark J. Matthews:
Alchemist: Parametric Control of Material Properties with Diffusion Models. CoRR abs/2312.02970 (2023) - 2022
- [j120]Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix:
When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations. Nat. Mach. Intell. 4(2): 146-153 (2022) - [j119]Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai:
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7093-7111 (2022) - [c96]Caroline Chan, Frédo Durand, Phillip Isola:
Learning to generate line drawings that convey geometry and semantics. CVPR 2022: 7905-7915 - [c95]Sai Praveen Bangaru, Michaël Gharbi, Fujun Luan, Tzu-Mao Li, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand:
Differentiable Rendering of Neural SDFs through Reparameterization. SIGGRAPH Asia 2022: 5:1-5:9 - [i31]Caroline Chan, Frédo Durand, Phillip Isola:
Learning to generate line drawings that convey geometry and semantics. CoRR abs/2203.12691 (2022) - [i30]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. CoRR abs/2205.03923 (2022) - [i29]Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li, Fujun Luan, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand:
Differentiable Rendering of Neural SDFs through Reparameterization. CoRR abs/2206.05344 (2022) - [i28]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR abs/2207.11232 (2022) - [i27]Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell:
Can Shadows Reveal Biometric Information? CoRR abs/2209.10077 (2022) - [i26]Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze:
Gemino: Practical and Robust Neural Compression for Video Conferencing. CoRR abs/2209.10507 (2022) - 2021
- [j118]Theo Thonat, Yagiz Aksoy, Miika Aittala, Sylvain Paris, Frédo Durand, George Drettakis:
Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs. Comput. Graph. Forum 40(4): 73-86 (2021) - [j117]Yuanming Hu, Jiafeng Liu, Xuanda Yang, Mingkuan Xu, Ye Kuang, Weiwei Xu, Qiang Dai, William T. Freeman, Frédo Durand:
QuanTaichi: a compiler for quantized simulations. ACM Trans. Graph. 40(4): 182:1-182:16 (2021) - [c94]Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister:
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. PacificVis 2021: 31-40 - [c93]Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon:
Single-Shot Scene Reconstruction. CoRL 2021: 501-512 - [c92]Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand:
What You Can Learn by Staring at a Blank Wall. ICCV 2021: 2310-2319 - [c91]Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand:
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. NeurIPS 2021: 19313-19325 - [i25]Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai:
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. CoRR abs/2101.04822 (2021) - [i24]Vincent Sitzmann, Semon Rezchikov, William T. Freeman, Joshua B. Tenenbaum, Frédo Durand:
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. CoRR abs/2106.02634 (2021) - [i23]Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand:
What You Can Learn by Staring at a Blank Wall. CoRR abs/2108.13027 (2021) - 2020
- [j116]Sai Praveen Bangaru, Tzu-Mao Li, Frédo Durand:
Unbiased warped-area sampling for differentiable rendering. ACM Trans. Graph. 39(6): 245:1-245:18 (2020) - [c90]Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CVPR 2020: 8432-8442 - [c89]Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand:
DiffTaichi: Differentiable Programming for Physical Simulation. ICLR 2020 - [i22]Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CoRR abs/2001.01026 (2020) - [i21]Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix:
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations. CoRR abs/2007.08032 (2020) - [i20]Yuanming Hu, Mingkuan Xu, Ye Kuang, Frédo Durand:
AsyncTaichi: Whole-Program Optimizations for Megakernel Sparse Computation and Differentiable Programming. CoRR abs/2012.08141 (2020)
2010 – 2019
- 2019
- [j115]Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Flexible SVBRDF Capture with a Multi-Image Deep Network. Comput. Graph. Forum 38(4): 1-13 (2019) - [j114]Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand:
What Do Different Evaluation Metrics Tell Us About Saliency Models? IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 740-757 (2019) - [j113]Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley:
Learning to optimize halide with tree search and random programs. ACM Trans. Graph. 38(4): 121:1-121:12 (2019) - [j112]Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand:
Sample-based Monte Carlo denoising using a kernel-splatting network. ACM Trans. Graph. 38(4): 125:1-125:12 (2019) - [j111]Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, Frédo Durand:
Taichi: a language for high-performance computation on spatially sparse data structures. ACM Trans. Graph. 38(6): 201:1-201:16 (2019) - [j110]Fangcheng Zhong, George Alex Koulieris, George Drettakis, Martin S. Banks, Mathieu Chambe, Frédo Durand, Rafal K. Mantiuk:
DiCE: dichoptic contrast enhancement for VR and stereo displays. ACM Trans. Graph. 38(6): 211:1-211:13 (2019) - [j109]Yulia Gryaditskaya, Mark Sypesteyn, Jan Willem Hoftijzer, Sylvia C. Pont, Frédo Durand, Adrien Bousseau:
OpenSketch: a richly-annotated dataset of product design sketches. ACM Trans. Graph. 38(6): 232:1-232:16 (2019) - [c88]Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. CVPR 2019: 8543-8553 - [c87]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV 2019: 171-180 - [c86]Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand:
A Dataset of Multi-Illumination Images in the Wild. ICCV 2019: 4079-4088 - [c85]Aleksandar Zlateski, Zhen Jia, Kai Li, Frédo Durand:
The anatomy of efficient FFT and winograd convolutions on modern CPUs. ICS 2019: 414-424 - [c84]Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, Bill Freeman, Frédo Durand:
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. NeurIPS 2019: 14311-14321 - [c83]Fangcheng Zhong, George Alex Koulieris, George Drettakis, Martin S. Banks, Mathieu Chambe, Frédo Durand, Rafal Mantiuk:
DiCE: dichoptic contrast enhancement for binocular displays. SIGGRAPH Posters 2019: 36:1-36:2 - [i19]Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data augmentation using learned transforms for one-shot medical image segmentation. CoRR abs/1902.09383 (2019) - [i18]Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala, Frédo Durand:
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation. CoRR abs/1904.08825 (2019) - [i17]Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Flexible SVBRDF Capture with a Multi-Image Deep Network. CoRR abs/1906.11557 (2019) - [i16]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR abs/1909.00475 (2019) - [i15]Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand:
DiffTaichi: Differentiable Programming for Physical Simulation. CoRR abs/1910.00935 (2019) - [i14]Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand:
A Dataset of Multi-Illumination Images in the Wild. CoRR abs/1910.08131 (2019) - [i13]Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Frédo Durand:
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. CoRR abs/1912.02314 (2019) - 2018
- [j108]Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet, Connelly Barnes, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand:
Halide: decoupling algorithms from schedules for high-performance image processing. Commun. ACM 61(1): 106-115 (2018) - [j107]Theo Thonat, Abdelaziz Djelouah, Frédo Durand, George Drettakis:
Thin Structures in Image Based Rendering. Comput. Graph. Forum 37(4): 107-118 (2018) - [j106]Simon Rodriguez, Adrien Bousseau, Frédo Durand, George Drettakis:
Exploiting Repetitions for Image-Based Rendering of Facades. Comput. Graph. Forum 37(4): 119-131 (2018) - [j105]Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Single-image SVBRDF capture with a rendering-aware deep network. ACM Trans. Graph. 37(4): 128 (2018) - [j104]Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley:
Differentiable programming for image processing and deep learning in halide. ACM Trans. Graph. 37(4): 139 (2018) - [j103]Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen:
Differentiable Monte Carlo ray tracing through edge sampling. ACM Trans. Graph. 37(6): 222 (2018) - [j102]Shuang Zhao, Frédo Durand, Changxi Zheng:
Inverse Diffusion Curves Using Shape Optimization. IEEE Trans. Vis. Comput. Graph. 24(7): 2153-2166 (2018) - [c82]Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand:
On the Importance of Label Quality for Semantic Segmentation. CVPR 2018: 1479-1487 - [c81]Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba:
Inferring Light Fields From Shadows. CVPR 2018: 6267-6275 - [c80]Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag:
Synthesizing Images of Humans in Unseen Poses. CVPR 2018: 8340-8348 - [c79]Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik:
Learning-Based Video Motion Magnification. ECCV (4) 2018: 663-679 - [c78]Miika Aittala, Frédo Durand:
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks. ECCV (8) 2018: 748-764 - [c77]Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus:
ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC 2018: 560-567 - [c76]Zhen Jia, Aleksandar Zlateski, Frédo Durand, Kai Li:
Optimizing N-dimensional, winograd-based convolution for manycore CPUs. PPoPP 2018: 109-123 - [i12]Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik:
Learning-based Video Motion Magnification. CoRR abs/1804.02684 (2018) - [i11]Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag:
Synthesizing Images of Humans in Unseen Poses. CoRR abs/1804.07739 (2018) - [i10]Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand:
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. CoRR abs/1807.10441 (2018) - [i9]Aleksandar Zlateski, Zhen Jia, Kai Li, Frédo Durand:
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why. CoRR abs/1809.07851 (2018) - [i8]Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network. CoRR abs/1810.09718 (2018) - 2017
- [j101]Neal Wadhwa, Hao-Yu Wu, Abe Davis, Michael Rubinstein, Eugene Shih, Gautham J. Mysore, Justin G. Chen, Oral Büyüköztürk, John V. Guttag, William T. Freeman, Frédo Durand:
Eulerian video magnification and analysis. Commun. ACM 60(1): 87-95 (2017) - [j100]Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Oral Büyüköztürk, Frédo Durand, William T. Freeman:
Visual Vibrometry: Estimating Material Properties from Small Motions in Video. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 732-745 (2017) - [j99]Neal Wadhwa, Justin G. Chen, Jonathan B. Sellon, Donglai Wei, Michael Rubinstein, Roozbeh Ghaffari, Dennis M. Freeman, Oral Büyüköztürk, Pai Wang, Sijie Sun, Sung Hoon Kang, Katia Bertoldi, Frédo Durand, William T. Freeman:
Motion microscopy for visualizing and quantifying small motions. Proc. Natl. Acad. Sci. USA 114(44): 11639-11644 (2017) - [j98]Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister:
BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention. ACM Trans. Comput. Hum. Interact. 24(5): 36:1-36:40 (2017) - [j97]Luke Anderson, Tzu-Mao Li, Jaakko Lehtinen, Frédo Durand:
Aether: an embedded domain specific sampling language for Monte Carlo rendering. ACM Trans. Graph. 36(4): 99:1-99:16 (2017) - [j96]Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand:
Deep bilateral learning for real-time image enhancement. ACM Trans. Graph. 36(4): 118:1-118:12 (2017) - [j95]Petr Kellnhofer, Piotr Didyk, Szu-Po Wang, Pitchaya Sitthi-amorn, William T. Freeman, Frédo Durand, Wojciech Matusik:
3DTV at home: eulerian-lagrangian stereo-to-multiview conversion. ACM Trans. Graph. 36(4): 146:1-146:13 (2017) - [c75]Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Frédo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman:
Turning Corners into Cameras: Principles and Methods. ICCV 2017: 2289-2297 - [c74]Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Frédo Durand, John V. Guttag:
A Video-Based Method for Automatically Rating Ataxia. MLHC 2017: 204-216 - [c73]Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Frédo Durand, Bryan C. Russell, Aaron Hertzmann:
Learning Visual Importance for Graphic Designs and Data Visualizations. UIST 2017: 57-69 - [i7]Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister:
BubbleView: an alternative to eye-tracking for crowdsourcing image importance. CoRR abs/1702.05150 (2017) - [i6]Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand:
Deep Bilateral Learning for Real-Time Image Enhancement. CoRR abs/1707.02880 (2017) - [i5]Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Frédo Durand, Bryan C. Russell, Aaron Hertzmann:
Learning Visual Importance for Graphic Designs and Data Visualizations. CoRR abs/1708.02660 (2017) - [i4]Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva:
Understanding Infographics through Textual and Visual Tag Prediction. CoRR abs/1709.09215 (2017) - 2016
- [j94]Hijung Valentina Shin, Christopher F. Porst, Etienne Vouga, John Ochsendorf, Frédo Durand:
Reconciling Elastic and Equilibrium Methods for Static Analysis. ACM Trans. Graph. 35(2): 13:1-13:16 (2016) - [j93]Shuang Zhao, Frédo Durand, Ravi Ramamoorthi:
Downsampling scattering parameters for rendering anisotropic media. ACM Trans. Graph. 35(6): 166:1-166:11 (2016) - [j92]Lukas Murmann, Abe Davis, Jan Kautz, Frédo Durand:
Computational bounce flash for indoor portraits. ACM Trans. Graph. 35(6): 190:1-190:9 (2016) - [j91]Michaël Gharbi, Gaurav Chaurasia, Sylvain Paris, Frédo Durand:
Deep joint demosaicking and denoising. ACM Trans. Graph. 35(6): 191:1-191:12 (2016) - [j90]Marco Manzi, Markus Kettunen, Frédo Durand, Matthias Zwicker, Jaakko Lehtinen:
Temporal gradient-domain path tracing. ACM Trans. Graph. 35(6): 246:1-246:9 (2016) - [c72]Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand:
Where Should Saliency Models Look Next? ECCV (5) 2016: 809-824 - [c71]Ioannis Gkioulekas, Kavita Bala, Frédo Durand, Anat Levin, Shuang Zhao, Todd E. Zickler:
Computational Imaging for Inverse Scattering. Measuring, Modeling, and Reproducing Material Appearance 2016: 1 - [c70]Hijung Valentina Shin, Wilmot Li, Frédo Durand:
Dynamic Authoring of Audio with Linked Scripts. UIST 2016: 509-516 - [i3]Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand:
What do different evaluation metrics tell us about saliency models? CoRR abs/1604.03605 (2016) - [i2]Shuang Zhao, Frédo Durand, Changxi Zheng:
Inverse Diffusion Curves using Shape Optimization. CoRR abs/1610.02769 (2016) - [i1]Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, John V. Guttag, Frédo Durand:
A Video-Based Method for Objectively Rating Ataxia. CoRR abs/1612.04007 (2016) - 2015
- [j89]Frédo Durand:
Technical Perspective: The Path to Light Transport. Commun. ACM 58(11): 102 (2015) - [j88]Manohar Srikanth, Kavita Bala, Frédo Durand:
Computational rim illumination of dynamic subjects using aerial robots. Comput. Graph. 52: 142-154 (2015) - [j87]Stefan Popov, Ravi Ramamoorthi, Frédo Durand, George Drettakis:
Probabilistic Connections for Bidirectional Path Tracing. Comput. Graph. Forum 34(4): 75-86 (2015) - [j86]Ioannis Gkioulekas, Anat Levin, Frédo Durand, Todd E. Zickler:
Micron-scale light transport decomposition using interferometry. ACM Trans. Graph. 34(4): 37:1-37:14 (2015) - [j85]Markus Kettunen, Marco Manzi, Miika Aittala, Jaakko Lehtinen, Frédo Durand, Matthias Zwicker:
Gradient-domain path tracing. ACM Trans. Graph. 34(4): 123:1-123:13 (2015) - [j84]