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James Hays
James Hays
Verified email at gatech.edu - Homepage
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Cited by
Cited by
Year
Microsoft coco: Common objects in context
TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ...
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
530212014
Sun database: Large-scale scene recognition from abbey to zoo
J Xiao, J Hays, KA Ehinger, A Oliva, A Torralba
2010 IEEE computer society conference on computer vision and pattern …, 2010
42492010
Fleet D Pajdla T Schiele B Tuytelaars T et al
TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ...
Microsoft COCO: common objects in context Computer Vision–ECCV 2014, 2014
16642014
Argoverse: 3d tracking and forecasting with rich maps
MF Chang, J Lambert, P Sangkloy, J Singh, S Bak, A Hartnett, D Wang, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
15222019
Scene completion using millions of photographs
J Hays, AA Efros
ACM Transactions on graphics (TOG) 26 (3), 4-es, 2007
12582007
Im2gps: estimating geographic information from a single image
J Hays, AA Efros
2008 ieee conference on computer vision and pattern recognition, 1-8, 2008
11552008
How do humans sketch objects?
M Eitz, J Hays, M Alexa
ACM Transactions on graphics (TOG) 31 (4), 1-10, 2012
11462012
Microsoft coco: Common objects in context [C]
TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ...
European conference on computer vision, 740-755, 2014
11092014
Sun attribute database: Discovering, annotating, and recognizing scene attributes
G Patterson, J Hays
2012 IEEE conference on computer vision and pattern recognition, 2751-2758, 2012
10252012
On convergence and stability of gans
N Kodali, J Abernethy, J Hays, Z Kira
arXiv preprint arXiv:1705.07215, 2017
831*2017
An empirical study of context in object detection
SK Divvala, D Hoiem, JH Hays, AA Efros, M Hebert
2009 IEEE Conference on computer vision and Pattern Recognition, 1271-1278, 2009
7402009
The sketchy database: learning to retrieve badly drawn bunnies
P Sangkloy, N Burnell, C Ham, J Hays
ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016
7192016
Scribbler: Controlling deep image synthesis with sketch and color
P Sangkloy, J Lu, C Fang, F Yu, J Hays
Proceedings of the IEEE conference on computer vision and pattern …, 2017
6142017
Edge-based blur kernel estimation using patch priors
L Sun, S Cho, J Wang, J Hays
IEEE international conference on computational photography (ICCP), 1-8, 2013
5682013
Argoverse 2: Next generation datasets for self-driving perception and forecasting
B Wilson, W Qi, T Agarwal, J Lambert, J Singh, S Khandelwal, B Pan, ...
arXiv preprint arXiv:2301.00493, 2023
5662023
Microsoft COCO: common objects in context. CoRR abs/1405.0312 (2014)
T Lin, M Maire, SJ Belongie, LD Bourdev, RB Girshick, J Hays, P Perona, ...
5182014
Scalable webcam eye tracking by learning from user interactions
A Papoutsaki
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015
4812015
The sun attribute database: Beyond categories for deeper scene understanding
G Patterson, C Xu, H Su, J Hays
International Journal of Computer Vision 108, 59-81, 2014
4732014
Geometry-aware learning of maps for camera localization
S Brahmbhatt, J Gu, K Kim, J Hays, J Kautz
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4642018
Sun database: Exploring a large collection of scene categories
J Xiao, KA Ehinger, J Hays, A Torralba, A Oliva
International Journal of Computer Vision 119, 3-22, 2016
4632016
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Articles 1–20