Summaries of ML/DL/CV papers

Summaries of deep learning and computer vision papers for the courses CS4180 and IN4393-16 at TU Delft

Machine learning

Authors	Year	Title
L. Bottou	2010	Large-scale machine learning with stochastic gradient descent
P. Domingos	2012	A few useful things to know about machine learning
S. Ruder	2017	An overview of gradient descent optimization algorithms

Deep learning

Authors	Year	Title
J. Carreira, A. Zisserman	2017	Quo vadis, action recognition? A new model and the Kinetics dataset
J. Jacobsen, J. van Gemert, Z. Lou, A.W.M. Smeulders	2016	Structured receptive fields in CNNs
A. Karpathy, J. Johnson, L. Fei-Fei	2015	Visualizing and understanding recurrent networks
Q. Le, T. Mikolov	2014	Distributed representations of sentences and documents
Y. LeCun, Y. Bengio, G.E. Hinton	2015	Deep learning
C. Lin, S. Lucey	2017	Inverse compositional spatial transformer networks
J. Long, E. Shelhamer, T. Darrell	2015	Fully convolutional networks for semantic segmentation
G. Marcus	2018	Deep learning: a critical appraisal
P. Morerio, J. Cavazza, R. Volpi, R. Vidal, V. Murino	2017	Curriculum dropout
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, K. Kavukcuoglu	2016	WaveNet: a generative model for raw audio
C.R. Qi, H. Su, K. Mo, L.J. Guibas	2017	PointNet: learning on point sets for 3D classification and segmentation
A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson	2014	CNN features off-the-shelf: an astounding baseline for recognition
J. Redmon, S. Divvala, R. Girshick, A. Farhadi	2016	You only look once: unified, real-time object detection
S. Sabour, N. Frosst, G.E. Hinton	2017	Dynamic routing between capsules
A.M. Saxe, P.W. Koh, Z. Chen, M. Bhand, B. Suresh, A.Y. Ng	2010	On random weights and unsupervised feature learning
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus	2014	Intriguing properties of neural networks
A. Veit, M. Wilber, S. Belongie	2016	Residual networks behave like ensembles of relatively shallow networks
K. Xu, J.L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio	2015	Show, attend and tell: neural image caption generation with visual attention
M.D. Zeiler, R. Fergus	2013	Visualizing and understanding convolutional networks
R. Zhang, P. Isola, A.A. Efros	2017	Split-brain autoencoders: unsupervised learning by cross-channel prediction
J. Zhu, T. Park, P. Isola, A.A. Efros	2017	Unpaired image-to-image translation using cycle-consistent adversarial networks

Computer vision

Authors	Year	Title
E.H. Adelson, J.R. Bergen	1991	The plenoptic function and the elements of early vision
P.F. Alcantarilla, A. Bartoli, A.J. Davidson	2012	KAZE features
S. Baker, I. Matthews	2004	Lucas-Kanade 20 years on: a unifying framework
K.L. Bouman, V. Ye, A.B. Yedidia, F. Durand, G.W. Wornell, A. Torralba, W.T. Freeman	2017	Turning corners into cameras: principles and methods
Y. Furukawa, J. Ponce	2010	Accurate, dense, and robust multi-view stereopsis
M. Goesele, B. Curless, S.M. Seitz	2006	Multi-view stereo revisited
R.I. Hartley	1997	In defense of the eight-point algorithm
K. Lebeda, J. Matas, O. Chum	2012	Fixing the locally optimized RANSAC - full experimental evaluation
C.C. Lin, S.U. Pankanti, K.N. Ramamurthy, A.Y. Aravkin	2015	Adaptive as-natural-as-possible image stitching
D.G. Lowe	2004	Distinctive image features from scale-invariant keypoints
K. Matzen, N. Snavely	2014	Scene chronology
P. Mukhopadhyay, B.B. Chaudhuri	2015	A survey of Hough transform
R. Mur-Artal, J.D. Tardós	2017	ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman	2007	Object retrieval with large vocabularies and fast spatial matching
J. Revaud, P. Weinzaepfel, Z. Harchaoui, C. Schmid	2015	EpicFlow: edge-preserving interpolation of correspondences for optical flow
E. Rublee, V. Rabaud, K. Konolige, G. Bradski	2011	ORB: an efficient alternative to SIFT or SURF
J.L. Schönberger, J.M. Frahm	2016	Structure-from-motion revisited
S. Se, D.G. Lowe, J. Little	2001	Vision-based mobile robot localization and mapping using scale-invariant features
C. Tomasi, T. Kanade	1992	Shape and motion from image streams under orthography: a factorization method
A. Torralba, W.T. Freeman	2012	Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
H.Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W.T. Freeman	2012	Eulerian video magnification for revealing subtle changes in the world

Summaries of ML/DL/CV papers

Summaries of deep learning and computer vision papers for the courses CS4180 and IN4393-16 at TU Delft

Machine learning

Authors	Year	Title
L. Bottou	2010	Large-scale machine learning with stochastic gradient descent
P. Domingos	2012	A few useful things to know about machine learning
S. Ruder	2017	An overview of gradient descent optimization algorithms

Deep learning

Authors	Year	Title
J. Carreira, A. Zisserman	2017	Quo vadis, action recognition? A new model and the Kinetics dataset
J. Jacobsen, J. van Gemert, Z. Lou, A.W.M. Smeulders	2016	Structured receptive fields in CNNs
A. Karpathy, J. Johnson, L. Fei-Fei	2015	Visualizing and understanding recurrent networks
Q. Le, T. Mikolov	2014	Distributed representations of sentences and documents
Y. LeCun, Y. Bengio, G.E. Hinton	2015	Deep learning
C. Lin, S. Lucey	2017	Inverse compositional spatial transformer networks
J. Long, E. Shelhamer, T. Darrell	2015	Fully convolutional networks for semantic segmentation
G. Marcus	2018	Deep learning: a critical appraisal
P. Morerio, J. Cavazza, R. Volpi, R. Vidal, V. Murino	2017	Curriculum dropout
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, K. Kavukcuoglu	2016	WaveNet: a generative model for raw audio
C.R. Qi, H. Su, K. Mo, L.J. Guibas	2017	PointNet: learning on point sets for 3D classification and segmentation
A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson	2014	CNN features off-the-shelf: an astounding baseline for recognition
J. Redmon, S. Divvala, R. Girshick, A. Farhadi	2016	You only look once: unified, real-time object detection
S. Sabour, N. Frosst, G.E. Hinton	2017	Dynamic routing between capsules
A.M. Saxe, P.W. Koh, Z. Chen, M. Bhand, B. Suresh, A.Y. Ng	2010	On random weights and unsupervised feature learning
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus	2014	Intriguing properties of neural networks
A. Veit, M. Wilber, S. Belongie	2016	Residual networks behave like ensembles of relatively shallow networks
K. Xu, J.L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio	2015	Show, attend and tell: neural image caption generation with visual attention
M.D. Zeiler, R. Fergus	2013	Visualizing and understanding convolutional networks
R. Zhang, P. Isola, A.A. Efros	2017	Split-brain autoencoders: unsupervised learning by cross-channel prediction
J. Zhu, T. Park, P. Isola, A.A. Efros	2017	Unpaired image-to-image translation using cycle-consistent adversarial networks

Computer vision

Authors	Year	Title
E.H. Adelson, J.R. Bergen	1991	The plenoptic function and the elements of early vision
P.F. Alcantarilla, A. Bartoli, A.J. Davidson	2012	KAZE features
S. Baker, I. Matthews	2004	Lucas-Kanade 20 years on: a unifying framework
K.L. Bouman, V. Ye, A.B. Yedidia, F. Durand, G.W. Wornell, A. Torralba, W.T. Freeman	2017	Turning corners into cameras: principles and methods
Y. Furukawa, J. Ponce	2010	Accurate, dense, and robust multi-view stereopsis
M. Goesele, B. Curless, S.M. Seitz	2006	Multi-view stereo revisited
R.I. Hartley	1997	In defense of the eight-point algorithm
K. Lebeda, J. Matas, O. Chum	2012	Fixing the locally optimized RANSAC - full experimental evaluation
C.C. Lin, S.U. Pankanti, K.N. Ramamurthy, A.Y. Aravkin	2015	Adaptive as-natural-as-possible image stitching
D.G. Lowe	2004	Distinctive image features from scale-invariant keypoints
K. Matzen, N. Snavely	2014	Scene chronology
P. Mukhopadhyay, B.B. Chaudhuri	2015	A survey of Hough transform
R. Mur-Artal, J.D. Tardós	2017	ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman	2007	Object retrieval with large vocabularies and fast spatial matching
J. Revaud, P. Weinzaepfel, Z. Harchaoui, C. Schmid	2015	EpicFlow: edge-preserving interpolation of correspondences for optical flow
E. Rublee, V. Rabaud, K. Konolige, G. Bradski	2011	ORB: an efficient alternative to SIFT or SURF
J.L. Schönberger, J.M. Frahm	2016	Structure-from-motion revisited
S. Se, D.G. Lowe, J. Little	2001	Vision-based mobile robot localization and mapping using scale-invariant features
C. Tomasi, T. Kanade	1992	Shape and motion from image streams under orthography: a factorization method
A. Torralba, W.T. Freeman	2012	Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
H.Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W.T. Freeman	2012	Eulerian video magnification for revealing subtle changes in the world

Summaries of ML/DL/CV papers

Summaries of deep learning and computer vision papers for the courses CS4180 and IN4393-16 at TU Delft

Machine learning

Authors	Year	Title
L. Bottou	2010	Large-scale machine learning with stochastic gradient descent
P. Domingos	2012	A few useful things to know about machine learning
S. Ruder	2017	An overview of gradient descent optimization algorithms

Deep learning

Authors	Year	Title
J. Carreira, A. Zisserman	2017	Quo vadis, action recognition? A new model and the Kinetics dataset
J. Jacobsen, J. van Gemert, Z. Lou, A.W.M. Smeulders	2016	Structured receptive fields in CNNs
A. Karpathy, J. Johnson, L. Fei-Fei	2015	Visualizing and understanding recurrent networks
Q. Le, T. Mikolov	2014	Distributed representations of sentences and documents
Y. LeCun, Y. Bengio, G.E. Hinton	2015	Deep learning
C. Lin, S. Lucey	2017	Inverse compositional spatial transformer networks
J. Long, E. Shelhamer, T. Darrell	2015	Fully convolutional networks for semantic segmentation
G. Marcus	2018	Deep learning: a critical appraisal
P. Morerio, J. Cavazza, R. Volpi, R. Vidal, V. Murino	2017	Curriculum dropout
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, K. Kavukcuoglu	2016	WaveNet: a generative model for raw audio
C.R. Qi, H. Su, K. Mo, L.J. Guibas	2017	PointNet: learning on point sets for 3D classification and segmentation
A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson	2014	CNN features off-the-shelf: an astounding baseline for recognition
J. Redmon, S. Divvala, R. Girshick, A. Farhadi	2016	You only look once: unified, real-time object detection
S. Sabour, N. Frosst, G.E. Hinton	2017	Dynamic routing between capsules
A.M. Saxe, P.W. Koh, Z. Chen, M. Bhand, B. Suresh, A.Y. Ng	2010	On random weights and unsupervised feature learning
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus	2014	Intriguing properties of neural networks
A. Veit, M. Wilber, S. Belongie	2016	Residual networks behave like ensembles of relatively shallow networks
K. Xu, J.L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio	2015	Show, attend and tell: neural image caption generation with visual attention
M.D. Zeiler, R. Fergus	2013	Visualizing and understanding convolutional networks
R. Zhang, P. Isola, A.A. Efros	2017	Split-brain autoencoders: unsupervised learning by cross-channel prediction
J. Zhu, T. Park, P. Isola, A.A. Efros	2017	Unpaired image-to-image translation using cycle-consistent adversarial networks

Computer vision

Authors	Year	Title
E.H. Adelson, J.R. Bergen	1991	The plenoptic function and the elements of early vision
P.F. Alcantarilla, A. Bartoli, A.J. Davidson	2012	KAZE features
S. Baker, I. Matthews	2004	Lucas-Kanade 20 years on: a unifying framework
K.L. Bouman, V. Ye, A.B. Yedidia, F. Durand, G.W. Wornell, A. Torralba, W.T. Freeman	2017	Turning corners into cameras: principles and methods
Y. Furukawa, J. Ponce	2010	Accurate, dense, and robust multi-view stereopsis
M. Goesele, B. Curless, S.M. Seitz	2006	Multi-view stereo revisited
R.I. Hartley	1997	In defense of the eight-point algorithm
K. Lebeda, J. Matas, O. Chum	2012	Fixing the locally optimized RANSAC - full experimental evaluation
C.C. Lin, S.U. Pankanti, K.N. Ramamurthy, A.Y. Aravkin	2015	Adaptive as-natural-as-possible image stitching
D.G. Lowe	2004	Distinctive image features from scale-invariant keypoints
K. Matzen, N. Snavely	2014	Scene chronology
P. Mukhopadhyay, B.B. Chaudhuri	2015	A survey of Hough transform
R. Mur-Artal, J.D. Tardós	2017	ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman	2007	Object retrieval with large vocabularies and fast spatial matching
J. Revaud, P. Weinzaepfel, Z. Harchaoui, C. Schmid	2015	EpicFlow: edge-preserving interpolation of correspondences for optical flow
E. Rublee, V. Rabaud, K. Konolige, G. Bradski	2011	ORB: an efficient alternative to SIFT or SURF
J.L. Schönberger, J.M. Frahm	2016	Structure-from-motion revisited
S. Se, D.G. Lowe, J. Little	2001	Vision-based mobile robot localization and mapping using scale-invariant features
C. Tomasi, T. Kanade	1992	Shape and motion from image streams under orthography: a factorization method
A. Torralba, W.T. Freeman	2012	Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
H.Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W.T. Freeman	2012	Eulerian video magnification for revealing subtle changes in the world

Summaries of ML/DL/CV papers

Summaries of deep learning and computer vision papers for the courses CS4180 and IN4393-16 at TU Delft

Machine learning

Authors	Year	Title
L. Bottou	2010	Large-scale machine learning with stochastic gradient descent
P. Domingos	2012	A few useful things to know about machine learning
S. Ruder	2017	An overview of gradient descent optimization algorithms

Deep learning

Authors	Year	Title
J. Carreira, A. Zisserman	2017	Quo vadis, action recognition? A new model and the Kinetics dataset
J. Jacobsen, J. van Gemert, Z. Lou, A.W.M. Smeulders	2016	Structured receptive fields in CNNs
A. Karpathy, J. Johnson, L. Fei-Fei	2015	Visualizing and understanding recurrent networks
Q. Le, T. Mikolov	2014	Distributed representations of sentences and documents
Y. LeCun, Y. Bengio, G.E. Hinton	2015	Deep learning
C. Lin, S. Lucey	2017	Inverse compositional spatial transformer networks
J. Long, E. Shelhamer, T. Darrell	2015	Fully convolutional networks for semantic segmentation
G. Marcus	2018	Deep learning: a critical appraisal
P. Morerio, J. Cavazza, R. Volpi, R. Vidal, V. Murino	2017	Curriculum dropout
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, K. Kavukcuoglu	2016	WaveNet: a generative model for raw audio
C.R. Qi, H. Su, K. Mo, L.J. Guibas	2017	PointNet: learning on point sets for 3D classification and segmentation
A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson	2014	CNN features off-the-shelf: an astounding baseline for recognition
J. Redmon, S. Divvala, R. Girshick, A. Farhadi	2016	You only look once: unified, real-time object detection
S. Sabour, N. Frosst, G.E. Hinton	2017	Dynamic routing between capsules
A.M. Saxe, P.W. Koh, Z. Chen, M. Bhand, B. Suresh, A.Y. Ng	2010	On random weights and unsupervised feature learning
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus	2014	Intriguing properties of neural networks
A. Veit, M. Wilber, S. Belongie	2016	Residual networks behave like ensembles of relatively shallow networks
K. Xu, J.L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio	2015	Show, attend and tell: neural image caption generation with visual attention
M.D. Zeiler, R. Fergus	2013	Visualizing and understanding convolutional networks
R. Zhang, P. Isola, A.A. Efros	2017	Split-brain autoencoders: unsupervised learning by cross-channel prediction
J. Zhu, T. Park, P. Isola, A.A. Efros	2017	Unpaired image-to-image translation using cycle-consistent adversarial networks

Computer vision

Authors	Year	Title
E.H. Adelson, J.R. Bergen	1991	The plenoptic function and the elements of early vision
P.F. Alcantarilla, A. Bartoli, A.J. Davidson	2012	KAZE features
S. Baker, I. Matthews	2004	Lucas-Kanade 20 years on: a unifying framework
K.L. Bouman, V. Ye, A.B. Yedidia, F. Durand, G.W. Wornell, A. Torralba, W.T. Freeman	2017	Turning corners into cameras: principles and methods
Y. Furukawa, J. Ponce	2010	Accurate, dense, and robust multi-view stereopsis
M. Goesele, B. Curless, S.M. Seitz	2006	Multi-view stereo revisited
R.I. Hartley	1997	In defense of the eight-point algorithm
K. Lebeda, J. Matas, O. Chum	2012	Fixing the locally optimized RANSAC - full experimental evaluation
C.C. Lin, S.U. Pankanti, K.N. Ramamurthy, A.Y. Aravkin	2015	Adaptive as-natural-as-possible image stitching
D.G. Lowe	2004	Distinctive image features from scale-invariant keypoints
K. Matzen, N. Snavely	2014	Scene chronology
P. Mukhopadhyay, B.B. Chaudhuri	2015	A survey of Hough transform
R. Mur-Artal, J.D. Tardós	2017	ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman	2007	Object retrieval with large vocabularies and fast spatial matching
J. Revaud, P. Weinzaepfel, Z. Harchaoui, C. Schmid	2015	EpicFlow: edge-preserving interpolation of correspondences for optical flow
E. Rublee, V. Rabaud, K. Konolige, G. Bradski	2011	ORB: an efficient alternative to SIFT or SURF
J.L. Schönberger, J.M. Frahm	2016	Structure-from-motion revisited
S. Se, D.G. Lowe, J. Little	2001	Vision-based mobile robot localization and mapping using scale-invariant features
C. Tomasi, T. Kanade	1992	Shape and motion from image streams under orthography: a factorization method
A. Torralba, W.T. Freeman	2012	Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
H.Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W.T. Freeman	2012	Eulerian video magnification for revealing subtle changes in the world

Summaries of ML/DL/CV papers

Summaries of deep learning and computer vision papers for the courses CS4180 and IN4393-16 at TU Delft

Machine learning

Authors	Year	Title
L. Bottou	2010	Large-scale machine learning with stochastic gradient descent
P. Domingos	2012	A few useful things to know about machine learning
S. Ruder	2017	An overview of gradient descent optimization algorithms

Deep learning

Authors	Year	Title
J. Carreira, A. Zisserman	2017	Quo vadis, action recognition? A new model and the Kinetics dataset
J. Jacobsen, J. van Gemert, Z. Lou, A.W.M. Smeulders	2016	Structured receptive fields in CNNs
A. Karpathy, J. Johnson, L. Fei-Fei	2015	Visualizing and understanding recurrent networks
Q. Le, T. Mikolov	2014	Distributed representations of sentences and documents
Y. LeCun, Y. Bengio, G.E. Hinton	2015	Deep learning
C. Lin, S. Lucey	2017	Inverse compositional spatial transformer networks
J. Long, E. Shelhamer, T. Darrell	2015	Fully convolutional networks for semantic segmentation
G. Marcus	2018	Deep learning: a critical appraisal
P. Morerio, J. Cavazza, R. Volpi, R. Vidal, V. Murino	2017	Curriculum dropout
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, K. Kavukcuoglu	2016	WaveNet: a generative model for raw audio
C.R. Qi, H. Su, K. Mo, L.J. Guibas	2017	PointNet: learning on point sets for 3D classification and segmentation
A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson	2014	CNN features off-the-shelf: an astounding baseline for recognition
J. Redmon, S. Divvala, R. Girshick, A. Farhadi	2016	You only look once: unified, real-time object detection
S. Sabour, N. Frosst, G.E. Hinton	2017	Dynamic routing between capsules
A.M. Saxe, P.W. Koh, Z. Chen, M. Bhand, B. Suresh, A.Y. Ng	2010	On random weights and unsupervised feature learning
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus	2014	Intriguing properties of neural networks
A. Veit, M. Wilber, S. Belongie	2016	Residual networks behave like ensembles of relatively shallow networks
K. Xu, J.L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio	2015	Show, attend and tell: neural image caption generation with visual attention
M.D. Zeiler, R. Fergus	2013	Visualizing and understanding convolutional networks
R. Zhang, P. Isola, A.A. Efros	2017	Split-brain autoencoders: unsupervised learning by cross-channel prediction
J. Zhu, T. Park, P. Isola, A.A. Efros	2017	Unpaired image-to-image translation using cycle-consistent adversarial networks

Computer vision

Authors	Year	Title
E.H. Adelson, J.R. Bergen	1991	The plenoptic function and the elements of early vision
P.F. Alcantarilla, A. Bartoli, A.J. Davidson	2012	KAZE features
S. Baker, I. Matthews	2004	Lucas-Kanade 20 years on: a unifying framework
K.L. Bouman, V. Ye, A.B. Yedidia, F. Durand, G.W. Wornell, A. Torralba, W.T. Freeman	2017	Turning corners into cameras: principles and methods
Y. Furukawa, J. Ponce	2010	Accurate, dense, and robust multi-view stereopsis
M. Goesele, B. Curless, S.M. Seitz	2006	Multi-view stereo revisited
R.I. Hartley	1997	In defense of the eight-point algorithm
K. Lebeda, J. Matas, O. Chum	2012	Fixing the locally optimized RANSAC - full experimental evaluation
C.C. Lin, S.U. Pankanti, K.N. Ramamurthy, A.Y. Aravkin	2015	Adaptive as-natural-as-possible image stitching
D.G. Lowe	2004	Distinctive image features from scale-invariant keypoints
K. Matzen, N. Snavely	2014	Scene chronology
P. Mukhopadhyay, B.B. Chaudhuri	2015	A survey of Hough transform
R. Mur-Artal, J.D. Tardós	2017	ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman	2007	Object retrieval with large vocabularies and fast spatial matching
J. Revaud, P. Weinzaepfel, Z. Harchaoui, C. Schmid	2015	EpicFlow: edge-preserving interpolation of correspondences for optical flow
E. Rublee, V. Rabaud, K. Konolige, G. Bradski	2011	ORB: an efficient alternative to SIFT or SURF
J.L. Schönberger, J.M. Frahm	2016	Structure-from-motion revisited
S. Se, D.G. Lowe, J. Little	2001	Vision-based mobile robot localization and mapping using scale-invariant features
C. Tomasi, T. Kanade	1992	Shape and motion from image streams under orthography: a factorization method
A. Torralba, W.T. Freeman	2012	Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
H.Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W.T. Freeman	2012	Eulerian video magnification for revealing subtle changes in the world

Summaries of ML/DL/CV papers

Summaries of deep learning and computer vision papers for the courses CS4180 and IN4393-16 at TU Delft

Machine learning

Authors	Year	Title
L. Bottou	2010	Large-scale machine learning with stochastic gradient descent
P. Domingos	2012	A few useful things to know about machine learning
S. Ruder	2017	An overview of gradient descent optimization algorithms

Deep learning

Authors	Year	Title
J. Carreira, A. Zisserman	2017	Quo vadis, action recognition? A new model and the Kinetics dataset
J. Jacobsen, J. van Gemert, Z. Lou, A.W.M. Smeulders	2016	Structured receptive fields in CNNs
A. Karpathy, J. Johnson, L. Fei-Fei	2015	Visualizing and understanding recurrent networks
Q. Le, T. Mikolov	2014	Distributed representations of sentences and documents
Y. LeCun, Y. Bengio, G.E. Hinton	2015	Deep learning
C. Lin, S. Lucey	2017	Inverse compositional spatial transformer networks
J. Long, E. Shelhamer, T. Darrell	2015	Fully convolutional networks for semantic segmentation
G. Marcus	2018	Deep learning: a critical appraisal
P. Morerio, J. Cavazza, R. Volpi, R. Vidal, V. Murino	2017	Curriculum dropout
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, K. Kavukcuoglu	2016	WaveNet: a generative model for raw audio
C.R. Qi, H. Su, K. Mo, L.J. Guibas	2017	PointNet: learning on point sets for 3D classification and segmentation
A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson	2014	CNN features off-the-shelf: an astounding baseline for recognition
J. Redmon, S. Divvala, R. Girshick, A. Farhadi	2016	You only look once: unified, real-time object detection
S. Sabour, N. Frosst, G.E. Hinton	2017	Dynamic routing between capsules
A.M. Saxe, P.W. Koh, Z. Chen, M. Bhand, B. Suresh, A.Y. Ng	2010	On random weights and unsupervised feature learning
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus	2014	Intriguing properties of neural networks
A. Veit, M. Wilber, S. Belongie	2016	Residual networks behave like ensembles of relatively shallow networks
K. Xu, J.L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio	2015	Show, attend and tell: neural image caption generation with visual attention
M.D. Zeiler, R. Fergus	2013	Visualizing and understanding convolutional networks
R. Zhang, P. Isola, A.A. Efros	2017	Split-brain autoencoders: unsupervised learning by cross-channel prediction
J. Zhu, T. Park, P. Isola, A.A. Efros	2017	Unpaired image-to-image translation using cycle-consistent adversarial networks

Computer vision

Authors	Year	Title
E.H. Adelson, J.R. Bergen	1991	The plenoptic function and the elements of early vision
P.F. Alcantarilla, A. Bartoli, A.J. Davidson	2012	KAZE features
S. Baker, I. Matthews	2004	Lucas-Kanade 20 years on: a unifying framework
K.L. Bouman, V. Ye, A.B. Yedidia, F. Durand, G.W. Wornell, A. Torralba, W.T. Freeman	2017	Turning corners into cameras: principles and methods
Y. Furukawa, J. Ponce	2010	Accurate, dense, and robust multi-view stereopsis
M. Goesele, B. Curless, S.M. Seitz	2006	Multi-view stereo revisited
R.I. Hartley	1997	In defense of the eight-point algorithm
K. Lebeda, J. Matas, O. Chum	2012	Fixing the locally optimized RANSAC - full experimental evaluation
C.C. Lin, S.U. Pankanti, K.N. Ramamurthy, A.Y. Aravkin	2015	Adaptive as-natural-as-possible image stitching
D.G. Lowe	2004	Distinctive image features from scale-invariant keypoints
K. Matzen, N. Snavely	2014	Scene chronology
P. Mukhopadhyay, B.B. Chaudhuri	2015	A survey of Hough transform
R. Mur-Artal, J.D. Tardós	2017	ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman	2007	Object retrieval with large vocabularies and fast spatial matching
J. Revaud, P. Weinzaepfel, Z. Harchaoui, C. Schmid	2015	EpicFlow: edge-preserving interpolation of correspondences for optical flow
E. Rublee, V. Rabaud, K. Konolige, G. Bradski	2011	ORB: an efficient alternative to SIFT or SURF
J.L. Schönberger, J.M. Frahm	2016	Structure-from-motion revisited
S. Se, D.G. Lowe, J. Little	2001	Vision-based mobile robot localization and mapping using scale-invariant features
C. Tomasi, T. Kanade	1992	Shape and motion from image streams under orthography: a factorization method
A. Torralba, W.T. Freeman	2012	Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
H.Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W.T. Freeman	2012	Eulerian video magnification for revealing subtle changes in the world

Summaries of ML/DL/CV papers

Summaries of deep learning and computer vision papers for the courses CS4180 and IN4393-16 at TU Delft

Machine learning

Authors	Year	Title
L. Bottou	2010	Large-scale machine learning with stochastic gradient descent
P. Domingos	2012	A few useful things to know about machine learning
S. Ruder	2017	An overview of gradient descent optimization algorithms

Deep learning

Authors	Year	Title
J. Carreira, A. Zisserman	2017	Quo vadis, action recognition? A new model and the Kinetics dataset
J. Jacobsen, J. van Gemert, Z. Lou, A.W.M. Smeulders	2016	Structured receptive fields in CNNs
A. Karpathy, J. Johnson, L. Fei-Fei	2015	Visualizing and understanding recurrent networks
Q. Le, T. Mikolov	2014	Distributed representations of sentences and documents
Y. LeCun, Y. Bengio, G.E. Hinton	2015	Deep learning
C. Lin, S. Lucey	2017	Inverse compositional spatial transformer networks
J. Long, E. Shelhamer, T. Darrell	2015	Fully convolutional networks for semantic segmentation
G. Marcus	2018	Deep learning: a critical appraisal
P. Morerio, J. Cavazza, R. Volpi, R. Vidal, V. Murino	2017	Curriculum dropout
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, K. Kavukcuoglu	2016	WaveNet: a generative model for raw audio
C.R. Qi, H. Su, K. Mo, L.J. Guibas	2017	PointNet: learning on point sets for 3D classification and segmentation
A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson	2014	CNN features off-the-shelf: an astounding baseline for recognition
J. Redmon, S. Divvala, R. Girshick, A. Farhadi	2016	You only look once: unified, real-time object detection
S. Sabour, N. Frosst, G.E. Hinton	2017	Dynamic routing between capsules
A.M. Saxe, P.W. Koh, Z. Chen, M. Bhand, B. Suresh, A.Y. Ng	2010	On random weights and unsupervised feature learning
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus	2014	Intriguing properties of neural networks
A. Veit, M. Wilber, S. Belongie	2016	Residual networks behave like ensembles of relatively shallow networks
K. Xu, J.L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio	2015	Show, attend and tell: neural image caption generation with visual attention
M.D. Zeiler, R. Fergus	2013	Visualizing and understanding convolutional networks
R. Zhang, P. Isola, A.A. Efros	2017	Split-brain autoencoders: unsupervised learning by cross-channel prediction
J. Zhu, T. Park, P. Isola, A.A. Efros	2017	Unpaired image-to-image translation using cycle-consistent adversarial networks

Computer vision

Authors	Year	Title
E.H. Adelson, J.R. Bergen	1991	The plenoptic function and the elements of early vision
P.F. Alcantarilla, A. Bartoli, A.J. Davidson	2012	KAZE features
S. Baker, I. Matthews	2004	Lucas-Kanade 20 years on: a unifying framework
K.L. Bouman, V. Ye, A.B. Yedidia, F. Durand, G.W. Wornell, A. Torralba, W.T. Freeman	2017	Turning corners into cameras: principles and methods
Y. Furukawa, J. Ponce	2010	Accurate, dense, and robust multi-view stereopsis
M. Goesele, B. Curless, S.M. Seitz	2006	Multi-view stereo revisited
R.I. Hartley	1997	In defense of the eight-point algorithm
K. Lebeda, J. Matas, O. Chum	2012	Fixing the locally optimized RANSAC - full experimental evaluation
C.C. Lin, S.U. Pankanti, K.N. Ramamurthy, A.Y. Aravkin	2015	Adaptive as-natural-as-possible image stitching
D.G. Lowe	2004	Distinctive image features from scale-invariant keypoints
K. Matzen, N. Snavely	2014	Scene chronology
P. Mukhopadhyay, B.B. Chaudhuri	2015	A survey of Hough transform
R. Mur-Artal, J.D. Tardós	2017	ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman	2007	Object retrieval with large vocabularies and fast spatial matching
J. Revaud, P. Weinzaepfel, Z. Harchaoui, C. Schmid	2015	EpicFlow: edge-preserving interpolation of correspondences for optical flow
E. Rublee, V. Rabaud, K. Konolige, G. Bradski	2011	ORB: an efficient alternative to SIFT or SURF
J.L. Schönberger, J.M. Frahm	2016	Structure-from-motion revisited
S. Se, D.G. Lowe, J. Little	2001	Vision-based mobile robot localization and mapping using scale-invariant features
C. Tomasi, T. Kanade	1992	Shape and motion from image streams under orthography: a factorization method
A. Torralba, W.T. Freeman	2012	Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
H.Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W.T. Freeman	2012	Eulerian video magnification for revealing subtle changes in the world

Summaries of ML/DL/CV papers

Summaries of deep learning and computer vision papers for the courses CS4180 and IN4393-16 at TU Delft

Machine learning

Authors	Year	Title
L. Bottou	2010	Large-scale machine learning with stochastic gradient descent
P. Domingos	2012	A few useful things to know about machine learning
S. Ruder	2017	An overview of gradient descent optimization algorithms

Deep learning

Authors	Year	Title
J. Carreira, A. Zisserman	2017	Quo vadis, action recognition? A new model and the Kinetics dataset
J. Jacobsen, J. van Gemert, Z. Lou, A.W.M. Smeulders	2016	Structured receptive fields in CNNs
A. Karpathy, J. Johnson, L. Fei-Fei	2015	Visualizing and understanding recurrent networks
Q. Le, T. Mikolov	2014	Distributed representations of sentences and documents
Y. LeCun, Y. Bengio, G.E. Hinton	2015	Deep learning
C. Lin, S. Lucey	2017	Inverse compositional spatial transformer networks
J. Long, E. Shelhamer, T. Darrell	2015	Fully convolutional networks for semantic segmentation
G. Marcus	2018	Deep learning: a critical appraisal
P. Morerio, J. Cavazza, R. Volpi, R. Vidal, V. Murino	2017	Curriculum dropout
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, K. Kavukcuoglu	2016	WaveNet: a generative model for raw audio
C.R. Qi, H. Su, K. Mo, L.J. Guibas	2017	PointNet: learning on point sets for 3D classification and segmentation
A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson	2014	CNN features off-the-shelf: an astounding baseline for recognition
J. Redmon, S. Divvala, R. Girshick, A. Farhadi	2016	You only look once: unified, real-time object detection
S. Sabour, N. Frosst, G.E. Hinton	2017	Dynamic routing between capsules
A.M. Saxe, P.W. Koh, Z. Chen, M. Bhand, B. Suresh, A.Y. Ng	2010	On random weights and unsupervised feature learning
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, R. Fergus	2014	Intriguing properties of neural networks
A. Veit, M. Wilber, S. Belongie	2016	Residual networks behave like ensembles of relatively shallow networks
K. Xu, J.L. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio	2015	Show, attend and tell: neural image caption generation with visual attention
M.D. Zeiler, R. Fergus	2013	Visualizing and understanding convolutional networks
R. Zhang, P. Isola, A.A. Efros	2017	Split-brain autoencoders: unsupervised learning by cross-channel prediction
J. Zhu, T. Park, P. Isola, A.A. Efros	2017	Unpaired image-to-image translation using cycle-consistent adversarial networks

Computer vision

Authors	Year	Title
E.H. Adelson, J.R. Bergen	1991	The plenoptic function and the elements of early vision
P.F. Alcantarilla, A. Bartoli, A.J. Davidson	2012	KAZE features
S. Baker, I. Matthews	2004	Lucas-Kanade 20 years on: a unifying framework
K.L. Bouman, V. Ye, A.B. Yedidia, F. Durand, G.W. Wornell, A. Torralba, W.T. Freeman	2017	Turning corners into cameras: principles and methods
Y. Furukawa, J. Ponce	2010	Accurate, dense, and robust multi-view stereopsis
M. Goesele, B. Curless, S.M. Seitz	2006	Multi-view stereo revisited
R.I. Hartley	1997	In defense of the eight-point algorithm
K. Lebeda, J. Matas, O. Chum	2012	Fixing the locally optimized RANSAC - full experimental evaluation
C.C. Lin, S.U. Pankanti, K.N. Ramamurthy, A.Y. Aravkin	2015	Adaptive as-natural-as-possible image stitching
D.G. Lowe	2004	Distinctive image features from scale-invariant keypoints
K. Matzen, N. Snavely	2014	Scene chronology
P. Mukhopadhyay, B.B. Chaudhuri	2015	A survey of Hough transform
R. Mur-Artal, J.D. Tardós	2017	ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman	2007	Object retrieval with large vocabularies and fast spatial matching
J. Revaud, P. Weinzaepfel, Z. Harchaoui, C. Schmid	2015	EpicFlow: edge-preserving interpolation of correspondences for optical flow
E. Rublee, V. Rabaud, K. Konolige, G. Bradski	2011	ORB: an efficient alternative to SIFT or SURF
J.L. Schönberger, J.M. Frahm	2016	Structure-from-motion revisited
S. Se, D.G. Lowe, J. Little	2001	Vision-based mobile robot localization and mapping using scale-invariant features
C. Tomasi, T. Kanade	1992	Shape and motion from image streams under orthography: a factorization method
A. Torralba, W.T. Freeman	2012	Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
H.Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, W.T. Freeman	2012	Eulerian video magnification for revealing subtle changes in the world

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deep_learning		deep_learning
LICENSE		LICENSE
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deep_learning		deep_learning
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deep_learning		deep_learning
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README.md		README.md

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deep_learning		deep_learning
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README.md		README.md

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deep_learning		deep_learning
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Summaries of ML/DL/CV papers

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