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James Hays

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affiliation: Brown University, Providence, RI, USA

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2024
[c78]
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Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CVPR 2024: 8186-8195
[c77]
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Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown:
OmniNOCS: A Unified NOCS Dataset and Model for 3D Lifting of 2D Objects. ECCV (75) 2024: 127-145
[c76]
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Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays:
I Can't Believe It's Not Scene Flow! ECCV (18) 2024: 242-257
[c75]
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Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays:
ZeroFlow: Scalable Scene Flow via Distillation. ICLR 2024
[c74]
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Mengyu Yang, Patrick Grady, Samarth Brahmbhatt, Arun Balajee Vasudevan, Charles C. Kemp, James Hays:
The Un-Kidnappable Robot: Acoustic Localization of Sneaking People. ICRA 2024: 985-992
[c73]
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Marissa Ramirez de Chanlatte, Phillip Colella, Trevor Darrell, Alexandra Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang:
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. WACV (Workshops) 2024: 762-766
[c72]
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Patrick Grady, Jeremy A. Collins, Chengcheng Tang, Christopher D. Twigg, Kunal Aneja, James Hays, Charles C. Kemp:
PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images. WACV 2024: 8683-8693
[i56]
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  - journals/corr/abs-2403-04739
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Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays:
I Can't Believe It's Not Scene Flow! CoRR abs/2403.04739 (2024)
[i55]
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  - journals/corr/abs-2405-12978
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Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CoRR abs/2405.12978 (2024)
[i54]
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  - journals/corr/abs-2406-10115
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Mehar Khurana, Neehar Peri, Deva Ramanan, James Hays:
Shelf-Supervised Multi-Modal Pre-Training for 3D Object Detection. CoRR abs/2406.10115 (2024)
[i53]
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  - journals/corr/abs-2406-19390
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John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang:
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas. CoRR abs/2406.19390 (2024)
[i52]
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  - journals/corr/abs-2407-04952
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Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter:
Granular Privacy Control for Geolocation with Vision Language Models. CoRR abs/2407.04952 (2024)
[i51]
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  - journals/corr/abs-2407-08711
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Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown:
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects. CoRR abs/2407.08711 (2024)
[i50]
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  - journals/corr/abs-2407-16789
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Benjamin Wilson, Nicholas Autio Mitchell, Jhony Kaesemodel Pontes, James Hays:
What Matters in Range View 3D Object Detection. CoRR abs/2407.16789 (2024)
[i49]
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  - journals/corr/abs-2409-01591
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Sohan Anisetty, James Hays:
Dynamic Motion Synthesis: Masked Audio-Text Conditioned Spatio-Temporal Transformers. CoRR abs/2409.01591 (2024)
2023
[j13]
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John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 796-810 (2023)
[c71]
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Feng Luo, Ling Liu, G. Geoff Wang, Vijay Kumar, Mark S. Ashton, Jacob D. Abernethy, Fatemeh Afghah, Matthew H. E. M. Browning, David Coyle, Philip M. Dames, Tom O'Halloran, James Hays, Patrick Hiesl, Chenfanfu Jiang, Puskar Khanal, Venkat Narayan Krovi, Sara Kuebbing, Nianyi Li, JingJing Liang, Ninghao Liu, Steve McNulty, Christopher M. Oswalt, Neil Pederson, Demetri Terzopoulos, Christopher W. Woodall, Yongkai Wu, Jian Yang, Yin Yang, Liang Zhao:
Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. CogMI 2023: 1-10
[c70]
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Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan:
Soft Augmentation for Image Classification. CVPR 2023: 16241-16250
[c69]
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  - conf/iccvw/PeriLWWHR23
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Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan:
An Empirical Analysis of Range for 3D Object Detection. ICCV (Workshops) 2023: 4076-4085
[c68]
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Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML 2023: 3577-3598
[c67]
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Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan:
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. IROS 2023: 7667-7674
[c66]
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Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz:
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. SIGGRAPH (Conference Paper Track) 2023: 35:1-35:11
[c65]
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Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. WACV 2023: 692-701
[i48]
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  - journals/corr/abs-2301-00493
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Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays:
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. CoRR abs/2301.00493 (2023)
[i47]
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  - journals/corr/abs-2301-02310
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Patrick Grady, Jeremy A. Collins, Chengcheng Tang, Christopher D. Twigg, James Hays, Charles C. Kemp:
Visual Estimation of Fingertip Pressure on Diverse Surfaces using Easily Captured Data. CoRR abs/2301.02310 (2023)
[i46]
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  - journals/corr/abs-2302-12764
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Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz:
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. CoRR abs/2302.12764 (2023)
[i45]
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  - journals/corr/abs-2304-03280
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Akshay Krishnan, Amit Raj, Xianling Zhang, Alexandra Carlson, Nathan Tseng, Sandhya Sridhar, Nikita Jaipuria, James Hays:
LANe: Lighting-Aware Neural Fields for Compositional Scene Synthesis. CoRR abs/2304.03280 (2023)
[i44]
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  - journals/corr/abs-2305-10424
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Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays:
ZeroFlow: Fast Zero Label Scene Flow via Distillation. CoRR abs/2305.10424 (2023)
[i43]
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  - journals/corr/abs-2308-04054
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Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan:
An Empirical Analysis of Range for 3D Object Detection. CoRR abs/2308.04054 (2023)
[i42]
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  - journals/corr/abs-2308-09105
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Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR abs/2308.09105 (2023)
[i41]
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  - journals/corr/abs-2309-01202
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Sohan Anisetty, Amit Raj, James Hays:
MAGMA: Music Aligned Generative Motion Autodecoder. CoRR abs/2309.01202 (2023)
[i40]
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  - journals/corr/abs-2310-03743
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Mengyu Yang, Patrick Grady, Samarth Brahmbhatt, Arun Balajee Vasudevan, Charles C. Kemp, James Hays:
The Un-Kidnappable Robot: Acoustic Localization of Sneaking People. CoRR abs/2310.03743 (2023)
[i39]
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  - journals/corr/abs-2310-12464
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Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan:
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. CoRR abs/2310.12464 (2023)
2022
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Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays:
A Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch. ECCV (38) 2022: 251-267
[c63]
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Patrick Grady, Chengcheng Tang, Samarth Brahmbhatt, Christopher D. Twigg, Chengde Wan, James Hays, Charles C. Kemp:
PressureVision: Estimating Hand Pressure from a Single RGB Image. ECCV (6) 2022: 328-345
[c62]
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Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse:
CoGS: Controllable Generation and Search from Sketch and Style. ECCV (16) 2022: 632-650
[c61]
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John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang:
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas. ECCV (31) 2022: 647-664
[c60]
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Patrick Grady, Jeremy A. Collins, Samarth Brahmbhatt, Christopher D. Twigg, Chengcheng Tang, James Hays, Charles C. Kemp:
Visual Pressure Estimation and Control for Soft Robotic Grippers. IROS 2022: 3628-3635
[i38]
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  - journals/corr/abs-2203-09554
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Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse:
CoGS: Controllable Generation and Search from Sketch and Style. CoRR abs/2203.09554 (2022)
[i37]
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  - journals/corr/abs-2203-10385
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Patrick Grady, Chengcheng Tang, Samarth Brahmbhatt, Christopher D. Twigg, Chengde Wan, James Hays, Charles C. Kemp:
PressureVision: Estimating Hand Pressure from a Single RGB Image. CoRR abs/2203.10385 (2022)
[i36]
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  - journals/corr/abs-2203-15798
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Amit Raj, Umar Iqbal, Koki Nagano, Sameh Khamis, Pavlo Molchanov, James Hays, Jan Kautz:
DRaCoN - Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars. CoRR abs/2203.15798 (2022)
[i35]
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  - journals/corr/abs-2204-07268
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Patrick Grady, Jeremy A. Collins, Samarth Brahmbhatt, Christopher D. Twigg, Chengcheng Tang, James Hays, Charles C. Kemp:
Visual Pressure Estimation and Control for Soft Robotic Grippers. CoRR abs/2204.07268 (2022)
[i34]
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  - journals/corr/abs-2208-03354
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Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays:
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch. CoRR abs/2208.03354 (2022)
[i33]
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Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan:
Soft Augmentation for Image Classification. CoRR abs/2211.04625 (2022)
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Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. CoRR abs/2211.13858 (2022)
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John Lambert, James Hays:
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection. CoRR abs/2212.07312 (2022)
2021
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Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner:
ANR: Articulated Neural Rendering for Virtual Avatars. CVPR 2021: 3722-3731
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Amit Raj, Michael Zollhöfer, Tomas Simon, Jason M. Saragih, Shunsuke Saito, James Hays, Stephen Lombardi:
Pixel-Aligned Volumetric Avatars. CVPR 2021: 11733-11742
[c57]
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John Lambert, James Hays:
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection. NeurIPS Datasets and Benchmarks 2021
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Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays:
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. NeurIPS Datasets and Benchmarks 2021
[i30]
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Amit Raj, Michael Zollhöfer, Tomas Simon, Jason M. Saragih, Shunsuke Saito, James Hays, Stephen Lombardi:
PVA: Pixel-aligned Volumetric Avatars. CoRR abs/2101.02697 (2021)
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John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation. CoRR abs/2112.13762 (2021)
2020
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Jhony Kaesemodel Pontes, James Hays, Simon Lucey:
Scene Flow from Point Clouds with or without Learning. 3DV 2020: 261-270
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John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. CVPR 2020: 2876-2885
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Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays:
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose. ECCV (13) 2020: 361-378
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Daniel Bolya, Sean Foley, James Hays, Judy Hoffman:
TIDE: A General Toolbox for Identifying Object Detection Errors. ECCV (3) 2020: 558-573
[i28]
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Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays:
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose. CoRR abs/2007.09545 (2020)
[i27]
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Daniel Bolya, Sean Foley, James Hays, Judy Hoffman:
TIDE: A General Toolbox for Identifying Object Detection Errors. CoRR abs/2008.08115 (2020)
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Benjamin Wilson, Zsolt Kira, James Hays:
3D for Free: Crossmodal Transfer Learning using HD Maps. CoRR abs/2008.10592 (2020)
[i25]
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Jhony Kaesemodel Pontes, James Hays, Simon Lucey:
Scene Flow from Point Clouds with or without Learning. CoRR abs/2011.00320 (2020)
[i24]
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Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner:
ANR: Articulated Neural Rendering for Virtual Avatars. CoRR abs/2012.12890 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Kilho Son, James Hays, David B. Cooper:
Solving Square Jigsaw Puzzle by Hierarchical Loop Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2222-2235 (2019)
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Xi Wang, Andreas Ley, Sebastian Koch, David Lindlbauer, James Hays, Kenneth Holmqvist, Marc Alexa:
The Mental Image Revealed by Gaze Tracking. CHI 2019: 609
[c50]
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Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir G. Kim, Jingwan Lu, James Hays:
Learning to Generate Textures on 3D Meshes. CVPR Workshops 2019: 32-38
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Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - an Empirical Odyssey. CVPR 2019: 6439-6448
[c48]
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Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays:
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging. CVPR 2019: 8709-8719
[c47]
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Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays:
Argoverse: 3D Tracking and Forecasting With Rich Maps. CVPR 2019: 8748-8757
[c46]
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Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal, Amit Raj, James Hays, Bernhard Schölkopf:
Kernel Mean Matching for Content Addressability of GANs. ICML 2019: 3140-3151
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Samarth Brahmbhatt, Ankur Handa, James Hays, Dieter Fox:
ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact. IROS 2019: 2386-2393
[c44]
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Nam Vo, James Hays:
Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer? WACV 2019: 589-598
[i23]
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Nam Vo, Lu Jiang, James Hays:
Let's Transfer Transformations of Shared Semantic Representations. CoRR abs/1903.00793 (2019)
[i22]
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Samarth Brahmbhatt, Ankur Handa, James Hays, Dieter Fox:
ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact. CoRR abs/1904.03754 (2019)
[i21]
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Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays:
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging. CoRR abs/1904.06830 (2019)
[i20]
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Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal, Amit Raj, James Hays, Bernhard Schölkopf:
Kernel Mean Matching for Content Addressability of GANs. CoRR abs/1905.05882 (2019)
[i19]
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Samarth Brahmbhatt, Charles C. Kemp, James Hays:
Towards Markerless Grasp Capture. CoRR abs/1907.07388 (2019)
[i18]
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Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays:
Argoverse: 3D Tracking and Forecasting with Rich Maps. CoRR abs/1911.02620 (2019)
2018
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Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz:
Geometry-Aware Learning of Maps for Camera Localization. CVPR 2018: 2616-2625
[c42]
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Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
TextureGAN: Controlling Deep Image Synthesis With Texture Patches. CVPR 2018: 8456-8465
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Wengling Chen, James Hays:
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis. CVPR 2018: 9416-9425
[c40]
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Amit Raj, Patsorn Sangkloy, Huiwen Chang, James Hays, Duygu Ceylan, Jingwan Lu:
SwapNet: Image Based Garment Transfer. ECCV (12) 2018: 679-695
[c39]
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Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy, James Hays, Bernhard Schölkopf, Arthur Gretton:
Informative Features for Model Comparison. NeurIPS 2018: 816-827
[i17]
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Wengling Chen, James Hays:
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis. CoRR abs/1801.02753 (2018)
[i16]
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Daniel Castro, Steven Hickson, Patsorn Sangkloy, Bhavishya Mittal, Sean Dai, James Hays, Irfan A. Essa:
Let's Dance: Learning From Online Dance Videos. CoRR abs/1801.07388 (2018)
[i15]
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Nam N. Vo, James Hays:
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer? CoRR abs/1803.03310 (2018)
[i14]
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Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy, James Hays, Bernhard Schölkopf, Arthur Gretton:
Informative Features for Model Comparison. CoRR abs/1810.11630 (2018)
[i13]
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Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - An Empirical Odyssey. CoRR abs/1812.07119 (2018)
2017
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Samarth Brahmbhatt, James Hays:
DeepNav: Learning to Navigate Large Cities. CVPR 2017: 3087-3096
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Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
Scribbler: Controlling Deep Image Synthesis with Sketch and Color. CVPR 2017: 6836-6845
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Nam N. Vo, Nathan Jacobs, James Hays:
Revisiting IM2GPS in the Deep Learning Era. ICCV 2017: 2640-2649
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Unaiza Ahsan, Chen Sun, James Hays, Irfan A. Essa:
Complex Event Recognition from Images with Few Training Examples. WACV 2017: 669-678
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Samarth Brahmbhatt, Henrik I. Christensen, James Hays:
StuffNet: Using 'Stuff' to Improve Object Detection. WACV 2017: 934-943
[i12]
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Unaiza Ahsan, Chen Sun, James Hays, Irfan A. Essa:
Complex Event Recognition from Images with Few Training Examples. CoRR abs/1701.04769 (2017)
[i11]
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Libin Sun, James Hays:
Super-resolution Using Constrained Deep Texture Synthesis. CoRR abs/1701.07604 (2017)
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Samarth Brahmbhatt, James Hays:
DeepNav: Learning to Navigate Large Cities. CoRR abs/1701.09135 (2017)
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Nam N. Vo, Nathan Jacobs, James Hays:
Revisiting IM2GPS in the Deep Learning Era. CoRR abs/1705.04838 (2017)
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Naveen Kodali, Jacob D. Abernethy, James Hays, Zsolt Kira:
How to Train Your DRAGAN. CoRR abs/1705.07215 (2017)
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Wenqi Xian, Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
TextureGAN: Controlling Deep Image Synthesis with Texture Patches. CoRR abs/1706.02823 (2017)
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Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz:
MapNet: Geometry-Aware Learning of Maps for Camera Localization. CoRR abs/1712.03342 (2017)
2016
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Jianxiong Xiao, Krista A. Ehinger, James Hays, Antonio Torralba, Aude Oliva:
SUN Database: Exploring a Large Collection of Scene Categories. Int. J. Comput. Vis. 119(1): 3-22 (2016)
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Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, James Hays:
The sketchy database: learning to retrieve badly drawn bunnies. ACM Trans. Graph. 35(4): 119:1-119:12 (2016)
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Kilho Son, Daniel Moreno, James Hays, David B. Cooper:
Solving Small-Piece Jigsaw Puzzles by Growing Consensus. CVPR 2016: 1193-1201
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Hani Altwaijry, Eduard Trulls, James Hays, Pascal Fua, Serge J. Belongie:
Learning to Match Aerial Images with Deep Attentive Architectures. CVPR 2016: 3539-3547
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Genevieve Patterson, James Hays:
COCO Attributes: Attributes for People, Animals, and Objects. ECCV (6) 2016: 85-100
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Nam N. Vo, James Hays:
Localizing and Orienting Street Views Using Overhead Imagery. ECCV (1) 2016: 494-509
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Alexandra Papoutsaki, Patsorn Sangkloy, James Laskey, Nediyana Daskalova, Jeff Huang, James Hays:
WebGazer: Scalable Webcam Eye Tracking Using User Interactions. IJCAI 2016: 3839-3845
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Tsung-Yi Lin, Serge J. Belongie, James Hays:
Cross-View Image Geo-localization. Large-Scale Visual Geo-Localization 2016: 59-76
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Nam N. Vo, James Hays:
Localizing and Orienting Street Views Using Overhead Imagery. CoRR abs/1608.00161 (2016)
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Samarth Brahmbhatt, Henrik I. Christensen, James Hays:
StuffNet: Using 'Stuff' to Improve Object Detection. CoRR abs/1610.05861 (2016)
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Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
Scribbler: Controlling Deep Image Synthesis with Sketch and Color. CoRR abs/1612.00835 (2016)
2015
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Derek Hoiem, James Hays, Jianxiong Xiao, Aditya Khosla:
Guest Editorial: Scene Understanding. Int. J. Comput. Vis. 112(2): 131-132 (2015)
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Tsung-Yi Lin, Yin Cui, Serge J. Belongie, James Hays:
Learning deep representations for ground-to-aerial geolocalization. CVPR 2015: 5007-5015
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Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays:
Tropel: Crowdsourcing Detectors with Minimal Training. HCOMP 2015: 150-159
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James Hays, Alexei A. Efros:
Large-Scale Image Geolocalization. Multimodal Location Estimation of Videos and Images 2015: 41-62
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Libin Sun, Neel Joshi, Brian Guenter, James Hays:
Lens Factory: Automatic Lens Generation Using Off-the-shelf Components. CoRR abs/1506.08956 (2015)
2014
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Genevieve Patterson, Chen Xu, Hang Su, James Hays:
The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding. Int. J. Comput. Vis. 108(1-2): 59-81 (2014)
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Pierre-Yves Laffont, Zhile Ren, Xiaofeng Tao, Chao Qian, James Hays:
Transient attributes for high-level understanding and editing of outdoor scenes. ACM Trans. Graph. 33(4): 149:1-149:11 (2014)
[c26]
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Kilho Son, James Hays, David B. Cooper:
Solving Square Jigsaw Puzzles with Loop Constraints. ECCV (6) 2014: 32-46
[c25]
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Libin Sun, Sunghyun Cho, Jue Wang, James Hays:
Good Image Priors for Non-blind Deconvolution - Generic vs. Specific. ECCV (4) 2014: 231-246
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Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick:
Microsoft COCO: Common Objects in Context. ECCV (5) 2014: 740-755
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Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick:
Microsoft COCO: Common Objects in Context. CoRR abs/1405.0312 (2014)
2013
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Tsung-Yi Lin, Serge J. Belongie, James Hays:
Cross-View Image Geolocalization. CVPR 2013: 891-898
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Yinda Zhang, Jianxiong Xiao, James Hays, Ping Tan:
FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps. CVPR 2013: 1171-1178
[c21]
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Libin Sun, Sunghyun Cho, Jue Wang, James Hays:
Edge-based blur kernel estimation using patch priors. ICCP 2013: 1-8
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Pierre-Yves Laffont, James Hays:
Exploring outdoor appearance changes with transient scene attributes. SIGGRAPH ASIA Posters 2013: 5
2012
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Mathias Eitz, James Hays, Marc Alexa:
How do humans sketch objects? ACM Trans. Graph. 31(4): 44:1-44:10 (2012)
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Genevieve Patterson, James Hays:
SUN attribute database: Discovering, annotating, and recognizing scene attributes. CVPR 2012: 2751-2758
[c18]
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Frank Palermo, James Hays, Alexei A. Efros:
Dating Historical Color Images. ECCV (6) 2012: 499-512
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Libin Sun, James Hays:
Super-resolution from internet-scale scene matching. ICCP 2012: 1-12
[c16]
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Jianxiong Xiao, Bryan C. Russell, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba:
Basic level scene understanding: from labels to structure and beyond. SIGGRAPH Asia Technical Briefs 2012: 36:1-36:4
2011
[c15]
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Sirion Vittayakorn, James Hays:
Quality Assessment for Crowdsourced Object Annotations. BMVC 2011: 1-11
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Mathias Eitz, James Hays:
Learning to classify human object sketches. SIGGRAPH Talks 2011: 30
2010
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Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba:
SUN database: Large-scale scene recognition from abbey to zoo. CVPR 2010: 3485-3492

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Santosh Kumar Divvala, Derek Hoiem, James Hays, Alexei A. Efros, Martial Hebert:
An empirical study of context in object detection. CVPR 2009: 1271-1278
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Evangelos Kalogerakis, Olga Vesselova, James Hays, Alexei A. Efros, Aaron Hertzmann:
Image sequence geolocation with human travel priors. ICCV 2009: 253-260
2008
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James Hays, Alexei A. Efros:
Scene completion using millions of photographs. Commun. ACM 51(10): 87-94 (2008)
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James Hays, Alexei A. Efros:
IM2GPS: estimating geographic information from a single image. CVPR 2008
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Yanxi Liu, Tamara Belkina, James Hays, Roberto Lublinerman:
Image de-fencing. CVPR 2008
2007
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James Hays, Alexei A. Efros:
Scene completion using millions of photographs. ACM Trans. Graph. 26(3): 4 (2007)
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Eugene Zhang, James Hays, Greg Turk:
Interactive Tensor Field Design and Visualization on Surfaces. IEEE Trans. Vis. Comput. Graph. 13(1): 94-107 (2007)
2006
[c8]
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Wen-Chieh Lin, James Hays, Chenyu Wu, Yanxi Liu, Vivek Kwatra:
Quantitative Evaluation of Near Regular Texture Synthesis Algorithms. CVPR (1) 2006: 427-434
[c7]
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James Hays, Marius Leordeanu, Alexei A. Efros, Yanxi Liu:
Discovering Texture Regularity as a Higher-Order Correspondence Problem. ECCV (2) 2006: 522-535
2005
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Eugene Zhang, James Hays, Greg Turk:
Interactive design and visualization of tensor fields on surfaces. SIGGRAPH Sketches 2005: 95
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Yanxi Liu, James Hays, Ying-Qing Xu, Heung-Yeung Shum:
Digital papercutting. SIGGRAPH Sketches 2005: 99
2004
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Yanxi Liu, Wen-Chieh Lin, James Hays:
Near-regular texture analysis and manipulation. ACM Trans. Graph. 23(3): 368-376 (2004)
[c4]
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James Hays, Irfan A. Essa:
Image and video based painterly animation. NPAR 2004: 113-120
[c3]
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Wen-Chieh Lin, James Hays, Chenyu Wu, Vivek Kwatra, Yanxi Liu:
A comparison study of four texture synthesis algorithms on near-regular textures. SIGGRAPH Posters 2004: 16
2003
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Christian Rayburn, James Hays, Bryan Phillips, Frederick C. Harris Jr.:
Specification of an Online Advisement System. Software Engineering Research and Practice 2003: 516-521

1990 – 1999

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1990
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James Hays, Leland R. Miller, Bobbie Othmer, Mohammad Saeed:
Simulation of process and resource management in a multiprogramming operating system. SIGCSE 1990: 125-128

1980 – 1989

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1989
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James Hays:
An operating systems course using MINIX. ACM SIGCSE Bull. 21(4): 11-12 (1989)

Coauthor Index

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