Fetching the paper…
Reading the bibliography…
Reconstruction of geometry based on different input modes, such as images or point clouds, has been instrumental in the development of computer aided design and computer graphics.
Shape from texture: An aggregation transform that maps a class of textures into surface orientation
Kender J. R · 1979
Earlier work this paper cites.
A computational approach to edge detection
Canny J · 1986
Earlier work this paper cites.
Shape from shading
Horn B. K., Brooks M. J · 1989
Earlier work this paper cites.
Object modeling by registration of multiple range images
Chen Y., Medioni G · 1991
Earlier work this paper cites.
A method for registration of 3-d shapes
Besl P. J., McKay N. D., et al · 1992
Earlier work this paper cites.
Gradient-based learning applied to document recognition
LeCun Y., Bottou L., Bengio Y., Haffner P · 1998
Earlier work this paper cites.
Fitting b-spline curves to point clouds by curvature-based squared distance minimization
Wang W., Pottmann H., Liu Y · 2006
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Deng J., Dong W., Socher R., Li L.-J., Li K., Fei-Fei L · 2009
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Krizhevsky A., Sutskever I., Hinton G. E · 2012
Earlier work this paper cites.
Fast b-spline curve fitting by l-bfgs
Zheng W., Bo P., Liu Y., Wang W · 2012
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Bahdanau D., Cho K., Bengio Y · 2014
Cited alongside, same era.
On the properties of neural machine translation: Encoder-decoder approaches
Cho K., Van Merriënboer B., Bahdanau D., Bengio Y · 2014
Cited alongside, same era.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Cho K., Van Merriënboer B., Gulcehre C., Bahdanau D., Bougares F., Schwenk H., Bengio Y · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Sutskever I., Vinyals O., Le Q. V · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Simonyan K., Zisserman A · 2014
A point set generation network for 3d object reconstruction from a single image
Fan H., Su H., Guibas L · 2016
Later among the works it cites.
Ask me anything: dynamic memory networks for natural language processing
Kumar A., Irsoy O., Ondruska P., Iyyer M., Bradbury J., Gulrajani I., Zhong V., Paulus R., Socher R · 2016
Later among the works it cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Qi C. R., Su H., Mo K., Guibas L. J · 2016
Later among the works it cites.
Learning to simplify: fully convolutional networks for rough sketch cleanup
Simo-Serra E., Iizuka S., Sasaki K., Ishikawa H · 2016
Later among the works it cites.
Interactive design of developable surfaces
Tang C., Bo P., Wallner J., Pottmann H · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Recurrent instance segmentation
Romera-Paredes B., Torr P. H. S · 2015
Cited alongside, same era.
End-to-end memory networks
Sukhbaatar S., Szlam A., Weston J., Fergus R. D · 2015
Cited alongside, same era.
Show and tell: A neural image caption generator
Vinyals O., Toshev A., Bengio S., Erhan D · 2015
Cited alongside, same era.
3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Choy C. B., Xu D., Gwak J., Chen K., Savarese S · 2016
Cited alongside, same era.
Fidelity vs. simplicity: a global approach to line drawing vectorization
Favreau J.-D., Lafarge F., Bousseau A · 2016
Cited alongside, same era.
Shape from shading: A method for obtaining the shape of a smooth opaque object from one view
Horn B. K
Cited in the paper.
Annotating object instances with a polygon-rnn
Castrejón L., Kundu K., Urtasun R., Fidler S · 2017
Later among the works it cites.
A hierarchical approach for generating descriptive image paragraphs
Krause J., Johnson J., Krishna R., Fei-Fei L · 2017
Later among the works it cites.
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
Tatarchenko M., Dosovitskiy A., Brox T · 2017
Later among the works it cites.
Accelerating Eulerian fluid simulation with convolutional networks
Tompson J., Schlachter K., Sprechmann P., Perlin K · 2017
Later among the works it cites.
Show, attend and tell: Neural image caption generation with visual attention
Xu K., Ba J., Kiros R., Cho K., Courville A., Salakhudinov R., Zemel R., Bengio Y · 2057
Closest in time.