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Recent years have witnessed a significant increase in the number of paper submissions to computer vision conferences.
Automatic essay grading using text categorization techniques
L. S. Larkey · 1998
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Paper gestalt
C. von Bearnensquash · 2010
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Assessing the quality of actions
H. Pirsiavash, C. Vondrick, and A. Torralba · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
Earlier work this paper cites.
Looking beyond text: Extracting figures, tables and captions from computer science papers
C. A. Clark and S. K. Divvala · 2015
Earlier work this paper cites.
Mathematical language processing: Automatic grading and feedback for open response mathematical questions
A. S. Lan, D. Vats, A. E. Waters, and R. G. Baraniuk · 2015
Cited alongside, same era.
Understanding deep image representations by inverting them
A. Mahendran and A. Vedaldi · 2015
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Learning deep features for discriminative localization
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba · 2016
Cited alongside, same era.
Automated video-based assessment of surgical skills for training and evaluation in medical schools
A. Zia, Y. Sharma, V. Bettadapura, E. L. Sarin, T. Ploetz, M. A. Clements, and I. Essa · 2016
Cited alongside, same era.
Network dissection: Quantifying interpretability of deep visual representations
https://www.reddit.com/r/MachineLearning/comments/8ite3n/r_nips_2018_how_do_i_write_a_good_review/
Nips 2018: How do i write a good review? · 2018
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Generating sentences by editing prototypes
K. Guu, T. B. Hashimoto, Y. Oren, and P. Liang · 2018
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Multimodal unsupervised image-to-image translation
X. Huang, M.-Y. Liu, S. Belongie, and J. Kautz · 2018
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2018
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Diverse image-to-image translation via disentangled representations
H.-Y. Lee, H.-Y. Tseng, J.-B. Huang, M. Singh, and M.-H. Yang · 2018
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Retrieve and refine: Improved sequence generation models for dialogue
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D. Bau, B. Zhou, A. Khosla, A. Oliva, and A. Torralba · 2017
Cited alongside, same era.
Gradescope: a fast, flexible, and fair system for scalable assessment of handwritten work
A. Singh, S. Karayev, K. Gutowski, and P. Abbeel · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
Cited alongside, same era.
https://www.dropbox.com/s/725p60wcajbb8xh/How%20to%20Review%20for%20CVPR.pptx?dl=0
How to write good reviews for cvpr
Cited in the paper.
http://thatsmathematics.com/mathgen/
Mathgen
Cited in the paper.
https://pdos.csail.mit.edu/archive/scigen/
SCIgen - an automatic cs paper generator
Cited in the paper.
J. Weston, E. Dinan, and A. H. Miller · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
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