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18
background.tex
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@ -517,14 +517,12 @@ b_e^* = (b_x^*, b_y^*, b_w^*, b_h^*),
where
\begin{equation*}
b_x^* = \frac{x^* - x_r}{w_r},
\end{equation*}
\begin{equation*}
\qquad
b_y^* = \frac{y^* - y_r}{h_r},
\end{equation*}
\begin{equation*}
b_w^* = \log \left( \frac{w^*}{w_r} \right),
\end{equation*}
\begin{equation*}
\qquad
b_h^* = \log \left( \frac{h^*}{h_r} \right),
\end{equation*}
which represents the regression target for the bounding box
@ -537,14 +535,12 @@ b_e = (b_x, b_y, b_w, b_h),
where
\begin{equation*}
b_x = \frac{x - x_r}{w_r},
\end{equation*}
\begin{equation*}
\qquad
b_y = \frac{y - y_r}{h_r},
\end{equation*}
\begin{equation*}
b_w = \log \left( \frac{w}{w_r} \right),
\end{equation*}
\begin{equation*}
\qquad
b_h = \log \left( \frac{h}{h_r} \right).
\end{equation*}
@ -557,14 +553,12 @@ b = (x, y, w, h),
where
\begin{equation*}
x = b_x \cdot w_r + x_r,
\end{equation*}
\begin{equation*}
\qquad
y = b_y \cdot b_r + y_r,
\end{equation*}
\begin{equation*}
w = \exp(b_w) \cdot w_r,
\end{equation*}
\begin{equation*}
\qquad
h = \exp(b_h) \cdot h_r,
\end{equation*}
and thus the bounding box is obtained as the reference bounding box adjusted by

179
bib.bib
View File

@ -3,23 +3,26 @@
and Philip H{\"a}usser and Caner Haz{\i}rba{\c{s}} and
Vladimir Golkov and Patrick v.d. Smagt and Daniel Cremers and Thomas Brox},
title = {{FlowNet}: Learning Optical Flow with Convolutional Networks},
booktitle = {{ICCV}},
year = {2015}}
booktitle = iccv-2015,
year = iccv-2015-yr,
month = iccv-2015-mon}
@inproceedings{FlowNet2,
author = {Eddy Ilg and Nikolaus Mayer and Tonmoy Saikia and
Margret Keuper and Alexey Dosovitskiy and Thomas Brox},
title = {{FlowNet} 2.0: {E}volution of Optical Flow Estimation with Deep Networks},
booktitle = {{CVPR}},
year = {2017},}
booktitle = cvpr-2017,
year = cvpr-2017-yr,
month = cvpr-2017-mon}
@inproceedings{SceneFlowDataset,
author = {Nikolaus Mayer and Eddy Ilg and Philip H{\"a}usser and Philipp Fischer and
Daniel Cremers and Alexey Dosovitskiy and Thomas Brox},
title = {A Large Dataset to Train Convolutional Networks for
Disparity, Optical Flow, and Scene Flow Estimation},
booktitle = {{CVPR}},
year = {2016}}
booktitle = cvpr-2016,
year = cvpr-2016-yr,
month = cvpr-2016-mon}
@article{SfmNet,
author = {Sudheendra Vijayanarasimhan and
@ -35,22 +38,24 @@
Author = {Kaiming He and Georgia Gkioxari and
Piotr Doll\'{a}r and Ross Girshick},
Title = {{Mask {R-CNN}}},
Booktitle = {CVPR},
Year = {2017}}
Booktitle = cvpr-2017,
Year = cvpr-2017-yr,
month = cvpr-2017-mon}
@inproceedings{FasterRCNN,
Author = {Shaoqing Ren and Kaiming He and
Ross Girshick and Jian Sun},
Title = {Faster {R-CNN}: Towards Real-Time Object Detection
with Region Proposal Networks},
Booktitle = {{NIPS}},
Year = {2015}}
Booktitle = nips-2015,
Year = nips-2015-yr}
@inproceedings{FastRCNN,
Author = {Ross Girshick},
Title = {Fast {R-CNN}},
Booktitle = {{ICCV}},
Year = {2015}}
Booktitle = iccv-2015,
year = iccv-2015-yr,
month = iccv-2015-mon}
@inproceedings{InstanceSceneFlow,
Author = {Aseem Behl and Omid Hosseini Jafari and Siva Karthik Mustikovela and
@ -58,8 +63,9 @@
Title = {Bounding Boxes, Segmentations and Object Coordinates:
How Important is Recognition for 3D Scene Flow Estimation
in Autonomous Driving Scenarios?},
Booktitle = {{ICCV}},
Year = {2017}}
Booktitle = iccv-2017,
year = iccv-2017-yr,
month = iccv-2017-mon}
@inproceedings{RCNN,
Author = {Ross Girshick and
@ -68,135 +74,148 @@
Jitendra Malik},
Title = {Rich feature hierarchies for accurate
object detection and semantic segmentation},
Booktitle = {{CVPR}},
Year = {2014}}
Booktitle = cvpr-2014,
Year = cvpr-2014-yr,
month = cvpr-2014-mon}
@inproceedings{ImageNetCNN,
title = {ImageNet Classification with Deep Convolutional Neural Networks},
author = {Alex Krizhevsky and Sutskever, Ilya and Hinton, Geoffrey E.},
booktitle = {{NIPS}},
year = {2012}}
booktitle = nips-2012,
year = nips-2012-yr}
@inproceedings{VGGNet,
author = {Karen Simonyan and Andrew Zisserman},
title = {Very Deep Convolutional Networks for Large-Scale Image Recognition},
booktitle = {ICLR},
booktitle = {3rd International Conference on Learning Representations},
year = {2015}}
@inproceedings{ResNet,
author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
title = {Deep Residual Learning for Image Recognition},
booktitle = {CVPR},
year = {2016}}
booktitle = cvpr-2016,
year = cvpr-2016-yr,
month = cvpr-2016-mon}
@inproceedings{DenseNetDenseFlow,
author = {Yi Zhu and Shawn D. Newsam},
title = {DenseNet for Dense Flow},
booktitle = {ICIP},
year = {2017}}
booktitle = icip-2017,
year = icip-2017-yr}
@inproceedings{SE3Nets,
author = {Arunkumar Byravan and Dieter Fox},
title = {{SE3-Nets}: Learning Rigid Body Motion using Deep Neural Networks},
booktitle = {{ICRA}},
booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation},
year = {2017}}
@inproceedings{FlowLayers,
author = {Laura Sevilla-Lara and Deqing Sun and Varun Jampani and Michael J. Black},
title = {Optical Flow with Semantic Segmentation and Localized Layers},
booktitle = {{CVPR}},
year = {2016}}
booktitle = cvpr-2016,
year = cvpr-2016-yr,
month = cvpr-2016-mon}
@inproceedings{ESI,
author = {Min Bai and Wenjie Luo and Kaustav Kundu and Raquel Urtasun},
title = {Exploiting Semantic Information and Deep Matching for Optical Flow},
booktitle = {{ECCV}},
year = {2016}}
booktitle = eccv-2016,
year = eccv-2016-yr}
@inproceedings{VKITTI,
author = {Adrien Gaidon and Qiao Wang and Yohann Cabon and Eleonora Vig},
title = {Virtual Worlds as Proxy for Multi-Object Tracking Analysis},
booktitle = {{CVPR}},
year = {2016}}
booktitle = cvpr-2016,
year = cvpr-2016-yr,
month = cvpr-2016-mon}
@inproceedings{KITTI2012,
author = {Andreas Geiger and Philip Lenz and Raquel Urtasun},
title = {Are we ready for Autonomous Driving? The {KITTI} Vision Benchmark Suite},
booktitle = {{CVPR}},
year = {2012}}
booktitle = cvpr-2012,
year = cvpr-2012-yr,
month = cvpr-2012-mon}
@inproceedings{KITTI2015,
author = {Moritz Menze and Andreas Geiger},
title = {Object Scene Flow for Autonomous Vehicles},
booktitle = {{CVPR}},
year = {2015}}
booktitle = cvpr-2015,
year = cvpr-2015-yr,
month = cvpr-2015-mon}
@inproceedings{PRSF,
author = {C. Vogel and K. Schindler and S. Roth},
title = {Piecewise Rigid Scene Flow},
booktitle = {{ICCV}},
year = {2013}}
booktitle = iccv-2013,
year = iccv-2013-yr,
month = iccv-2013-mon}
@inproceedings{PRSM,
@article{PRSM,
author = {C. Vogel and K. Schindler and S. Roth},
title = {3D Scene Flow with a Piecewise Rigid Scene Model},
booktitle = {{IJCV}},
booktitle = ijcv,
year = {2015}}
@inproceedings{MRFlow,
author = {Jonas Wulff and Laura Sevilla-Lara and Michael J. Black},
title = {Optical Flow in Mostly Rigid Scenes},
booktitle = {{CVPR}},
year = {2017}}
booktitle = cvpr-2017,
year = cvpr-2017-yr,
month = cvpr-2017-mon}
@inproceedings{SPyNet,
author = {Anurag Ranjan and Michael J. Black},
title = {Optical Flow Estimation using a Spatial Pyramid Network},
booktitle = {CVPR},
year = {2017}}
booktitle = cvpr-2017,
year = cvpr-2017-yr,
month = cvpr-2017-mon}
@inproceedings{FPN,
author = {Tsung-Yi Lin and Piotr Dollár and Ross Girshick and Kaiming He and Bharath Hariharan and Serge Belongie},
title = {Feature Pyramid Networks for Object Detection},
booktitle = {CVPR},
year = {2017}}
booktitle = cvpr-2017,
year = cvpr-2017-yr,
month = cvpr-2017-mon}
@inproceedings{PoseNet,
author = {Alex Kendall and Matthew Grimes and Roberto Cipolla},
title = {PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization},
booktitle = {ICCV},
year = {2015}}
booktitle = iccv-2015,
year = iccv-2015-yr,
month = iccv-2015-mon}
@inproceedings{PoseNet2,
author = {Alex Kendall and Roberto Cipolla},
title = {Geometric loss functions for camera pose regression with deep learning},
booktitle = {CVPR},
year = {2017}}
booktitle = cvpr-2017,
year = cvpr-2017-yr,
month = cvpr-2017-mon}
@inproceedings{STN,
author = {M. Jadeberg and K. Zisserman and K. Kavukcuoglu},
title = {Spatial transformer networks},
booktitle = {NIPS},
year = {2015}}
booktitle = nips-2015,
year = nips-2015-yr}
@inproceedings{CensusTerm,
author = {Fridtjof Stein},
title = {Efficient Computation of Optical Flow Using the Census Transform},
booktitle = {{DAGM} Symposium},
year = {2004}}
booktitle = dagm-2004,
year = dagm-2004-yr}
@inproceedings{DeeperDepth,
author = {Iro Laina and Christian Rupprecht and Vasileios Belagiannis and Federico Tombari and Nassir Navab},
title = {Deeper Depth Prediction with Fully Convolutional Residual Networks},
booktitle = {3DV},
booktitle = {Proceedings of the International Conference on 3D Vision},
year = {2016}}
@inproceedings{TensorFlowObjectDetection,
author = {J. Huang and V. Rathod and C. Sun and M. Zhu and A. Korattikara and A. Fathi and I. Fischer and Z. Wojna,
and Y. Song and S. Guadarrama and K. Murphy},
title = {Speed/accuracy trade-offs for modern convolutional object detectors},
booktitle = {CVPR},
year = {2017}}
booktitle = cvpr-2017,
year = cvpr-2017-yr,
month = cvpr-2017-mon}
@misc{TensorFlow,
title={{TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems},
@ -208,65 +227,69 @@
@inproceedings{LSTM,
author = {Sepp Hochreiter and Jürgen Schmidhuber},
title = {Long Short-Term Memory},
booktitle = {Neural Computation},
booktitle = neco,
year = {1997}}
@inproceedings{TemporalSF,
author = {Christoph Vogel and Stefan Roth and Konrad Schindler},
title = {View-Consistent 3D Scene Flow Estimation over Multiple Frames},
booktitle = {ECCV},
year = {2014}}
booktitle = eccv-2014,
year = eccv-2014-yr}
@inproceedings{Cityscapes,
author = {M. Cordts and M. Omran and S. Ramos and T. Rehfeld and
M. Enzweiler and R. Benenson and U. Franke and S. Roth and B. Schiele},
title = {The Cityscapes Dataset for Semantic Urban Scene Understanding},
booktitle = {CVPR},
year = {2016}}
booktitle = cvpr-2016,
year = cvpr-2016-yr,
month = cvpr-2016-mon}
@inproceedings{SGD,
author = {Y. LeCun and B. Boser and J. S. Denker and D. Henderson
and R. E. Howard and W. Hubbard and L. D. Jackel},
title = {Backpropagation applied to handwritten zip code recognition},
booktitle = {Neural Computation},
booktitle = neco,
year = {1989}}
@inproceedings{GCNet,
author = {Alex Kendall and Hayk Martirosyan and Saumitro Dasgupta and Peter Henry
Ryan Kennedy and Abraham Bachrach and Adam Bry},
title = {End-to-End Learning of Geometry and Context for Deep Stereo Regression},
booktitle = {CVPR},
year = {2017}}
booktitle = cvpr-2017,
year = cvpr-2017-yr,
month = cvpr-2017-mon}
@inproceedings{BN,
author = {Sergey Ioffe and Christian Szegedy},
title = {Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift},
booktitle = {ICML},
year = {2015}}
booktitle = icml-2015,
year = icml-2015-yr}
@inproceedings{He,
author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
title = {Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification},
booktitle = {ICCV},
year = {2015}}
booktitle = iccv-2015,
year = iccv-2015-yr,
month = iccv-2015-mon}
@inproceedings{UnFlow,
author = {Simon Meister and Junhwa Hur and Stefan Roth},
title = {UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss},
booktitle = {AAAI},
year = {2018}}
booktitle = aaai-2018,
year = aaai-2018-yr}
@inproceedings{UnsupDepth,
title={Unsupervised Learning of Depth and Ego-Motion from Video},
author={Ravi Garg and BG Vijay Kumar and Gustavo Carneiro and Ian Reid},
booktitle={ECCV},
year={2016}}
booktitle=eccv-2016,
year=eccv-2016-yr}
@inproceedings{UnsupPoseDepth,
title={Unsupervised CNN for single view depth estimation: Geometry to the rescue},
author={Tinghui Zhou and Matthew Brown and Noah Snavely and David G. Lowe},
booktitle={CVPR},
year={2017}}
booktitle=cvpr-2017,
year = cvpr-2017-yr,
month = cvpr-2017-mon}
@inproceedings{UnsupFlownet,
title={Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness},
@ -274,8 +297,8 @@
booktitle={ECCV Workshops},
year={2016}}
@inproceedings{ImageNet,
title={ImageNet Large Scale Visual Recognition Challenge},
author={Olga Russakovsky and others},
booktitle={IJCV},
year={2015}}
@article{ImageNet,
title={ImageNet Large Scale Visual Recognition Challenge},
author={Olga Russakovsky and others},
booktitle=ijcv,
year={2015}}

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281
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@ -0,0 +1,281 @@
@inproceedings{FlowNet,
author = {Alexey Dosovitskiy and Philipp Fischer and Eddy Ilg
and Philip H{\"a}usser and Caner Haz{\i}rba{\c{s}} and
Vladimir Golkov and Patrick v.d. Smagt and Daniel Cremers and Thomas Brox},
title = {{FlowNet}: Learning Optical Flow with Convolutional Networks},
booktitle = {{ICCV}},
year = {2015}}
@inproceedings{FlowNet2,
author = {Eddy Ilg and Nikolaus Mayer and Tonmoy Saikia and
Margret Keuper and Alexey Dosovitskiy and Thomas Brox},
title = {{FlowNet} 2.0: {E}volution of Optical Flow Estimation with Deep Networks},
booktitle = {{CVPR}},
year = {2017},}
@inproceedings{SceneFlowDataset,
author = {Nikolaus Mayer and Eddy Ilg and Philip H{\"a}usser and Philipp Fischer and
Daniel Cremers and Alexey Dosovitskiy and Thomas Brox},
title = {A Large Dataset to Train Convolutional Networks for
Disparity, Optical Flow, and Scene Flow Estimation},
booktitle = {{CVPR}},
year = {2016}}
@article{SfmNet,
author = {Sudheendra Vijayanarasimhan and
Susanna Ricco and
Cordelia Schmid and
Rahul Sukthankar and
Katerina Fragkiadaki},
title = {{SfM-Net}: Learning of Structure and Motion from Video},
journal = {arXiv preprint arXiv:1704.07804},
year = {2017}}
@inproceedings{MaskRCNN,
Author = {Kaiming He and Georgia Gkioxari and
Piotr Doll\'{a}r and Ross Girshick},
Title = {{Mask {R-CNN}}},
Booktitle = {CVPR},
Year = {2017}}
@inproceedings{FasterRCNN,
Author = {Shaoqing Ren and Kaiming He and
Ross Girshick and Jian Sun},
Title = {Faster {R-CNN}: Towards Real-Time Object Detection
with Region Proposal Networks},
Booktitle = {{NIPS}},
Year = {2015}}
@inproceedings{FastRCNN,
Author = {Ross Girshick},
Title = {Fast {R-CNN}},
Booktitle = {{ICCV}},
Year = {2015}}
@inproceedings{InstanceSceneFlow,
Author = {Aseem Behl and Omid Hosseini Jafari and Siva Karthik Mustikovela and
Hassan Abu Alhaija and Carsten Rother and Andreas Geiger},
Title = {Bounding Boxes, Segmentations and Object Coordinates:
How Important is Recognition for 3D Scene Flow Estimation
in Autonomous Driving Scenarios?},
Booktitle = {{ICCV}},
Year = {2017}}
@inproceedings{RCNN,
Author = {Ross Girshick and
Jeff Donahue and
Trevor Darrell and
Jitendra Malik},
Title = {Rich feature hierarchies for accurate
object detection and semantic segmentation},
Booktitle = {{CVPR}},
Year = {2014}}
@inproceedings{ImageNetCNN,
title = {ImageNet Classification with Deep Convolutional Neural Networks},
author = {Alex Krizhevsky and Sutskever, Ilya and Hinton, Geoffrey E.},
booktitle = {{NIPS}},
year = {2012}}
@inproceedings{VGGNet,
author = {Karen Simonyan and Andrew Zisserman},
title = {Very Deep Convolutional Networks for Large-Scale Image Recognition},
booktitle = {ICLR},
year = {2015}}
@inproceedings{ResNet,
author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
title = {Deep Residual Learning for Image Recognition},
booktitle = {CVPR},
year = {2016}}
@inproceedings{DenseNetDenseFlow,
author = {Yi Zhu and Shawn D. Newsam},
title = {DenseNet for Dense Flow},
booktitle = {ICIP},
year = {2017}}
@inproceedings{SE3Nets,
author = {Arunkumar Byravan and Dieter Fox},
title = {{SE3-Nets}: Learning Rigid Body Motion using Deep Neural Networks},
booktitle = {{ICRA}},
year = {2017}}
@inproceedings{FlowLayers,
author = {Laura Sevilla-Lara and Deqing Sun and Varun Jampani and Michael J. Black},
title = {Optical Flow with Semantic Segmentation and Localized Layers},
booktitle = {{CVPR}},
year = {2016}}
@inproceedings{ESI,
author = {Min Bai and Wenjie Luo and Kaustav Kundu and Raquel Urtasun},
title = {Exploiting Semantic Information and Deep Matching for Optical Flow},
booktitle = {{ECCV}},
year = {2016}}
@inproceedings{VKITTI,
author = {Adrien Gaidon and Qiao Wang and Yohann Cabon and Eleonora Vig},
title = {Virtual Worlds as Proxy for Multi-Object Tracking Analysis},
booktitle = {{CVPR}},
year = {2016}}
@inproceedings{KITTI2012,
author = {Andreas Geiger and Philip Lenz and Raquel Urtasun},
title = {Are we ready for Autonomous Driving? The {KITTI} Vision Benchmark Suite},
booktitle = {{CVPR}},
year = {2012}}
@inproceedings{KITTI2015,
author = {Moritz Menze and Andreas Geiger},
title = {Object Scene Flow for Autonomous Vehicles},
booktitle = {{CVPR}},
year = {2015}}
@inproceedings{PRSF,
author = {C. Vogel and K. Schindler and S. Roth},
title = {Piecewise Rigid Scene Flow},
booktitle = {{ICCV}},
year = {2013}}
@inproceedings{PRSM,
author = {C. Vogel and K. Schindler and S. Roth},
title = {3D Scene Flow with a Piecewise Rigid Scene Model},
booktitle = {{IJCV}},
year = {2015}}
@inproceedings{MRFlow,
author = {Jonas Wulff and Laura Sevilla-Lara and Michael J. Black},
title = {Optical Flow in Mostly Rigid Scenes},
booktitle = {{CVPR}},
year = {2017}}
@inproceedings{SPyNet,
author = {Anurag Ranjan and Michael J. Black},
title = {Optical Flow Estimation using a Spatial Pyramid Network},
booktitle = {CVPR},
year = {2017}}
@inproceedings{FPN,
author = {Tsung-Yi Lin and Piotr Dollár and Ross Girshick and Kaiming He and Bharath Hariharan and Serge Belongie},
title = {Feature Pyramid Networks for Object Detection},
booktitle = {CVPR},
year = {2017}}
@inproceedings{PoseNet,
author = {Alex Kendall and Matthew Grimes and Roberto Cipolla},
title = {PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization},
booktitle = {ICCV},
year = {2015}}
@inproceedings{PoseNet2,
author = {Alex Kendall and Roberto Cipolla},
title = {Geometric loss functions for camera pose regression with deep learning},
booktitle = {CVPR},
year = {2017}}
@inproceedings{STN,
author = {M. Jadeberg and K. Zisserman and K. Kavukcuoglu},
title = {Spatial transformer networks},
booktitle = {NIPS},
year = {2015}}
@inproceedings{CensusTerm,
author = {Fridtjof Stein},
title = {Efficient Computation of Optical Flow Using the Census Transform},
booktitle = {{DAGM} Symposium},
year = {2004}}
@inproceedings{DeeperDepth,
author = {Iro Laina and Christian Rupprecht and Vasileios Belagiannis and Federico Tombari and Nassir Navab},
title = {Deeper Depth Prediction with Fully Convolutional Residual Networks},
booktitle = {3DV},
year = {2016}}
@inproceedings{TensorFlowObjectDetection,
author = {J. Huang and V. Rathod and C. Sun and M. Zhu and A. Korattikara and A. Fathi and I. Fischer and Z. Wojna,
and Y. Song and S. Guadarrama and K. Murphy},
title = {Speed/accuracy trade-offs for modern convolutional object detectors},
booktitle = {CVPR},
year = {2017}}
@misc{TensorFlow,
title={{TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems},
url={http://tensorflow.org/},
note={Software available from tensorflow.org},
author={Martín Abadi and others},
year={2015}}
@inproceedings{LSTM,
author = {Sepp Hochreiter and Jürgen Schmidhuber},
title = {Long Short-Term Memory},
booktitle = {Neural Computation},
year = {1997}}
@inproceedings{TemporalSF,
author = {Christoph Vogel and Stefan Roth and Konrad Schindler},
title = {View-Consistent 3D Scene Flow Estimation over Multiple Frames},
booktitle = {ECCV},
year = {2014}}
@inproceedings{Cityscapes,
author = {M. Cordts and M. Omran and S. Ramos and T. Rehfeld and
M. Enzweiler and R. Benenson and U. Franke and S. Roth and B. Schiele},
title = {The Cityscapes Dataset for Semantic Urban Scene Understanding},
booktitle = {CVPR},
year = {2016}}
@inproceedings{SGD,
author = {Y. LeCun and B. Boser and J. S. Denker and D. Henderson
and R. E. Howard and W. Hubbard and L. D. Jackel},
title = {Backpropagation applied to handwritten zip code recognition},
booktitle = {Neural Computation},
year = {1989}}
@inproceedings{GCNet,
author = {Alex Kendall and Hayk Martirosyan and Saumitro Dasgupta and Peter Henry
Ryan Kennedy and Abraham Bachrach and Adam Bry},
title = {End-to-End Learning of Geometry and Context for Deep Stereo Regression},
booktitle = {CVPR},
year = {2017}}
@inproceedings{BN,
author = {Sergey Ioffe and Christian Szegedy},
title = {Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift},
booktitle = {ICML},
year = {2015}}
@inproceedings{He,
author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
title = {Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification},
booktitle = {ICCV},
year = {2015}}
@inproceedings{UnFlow,
author = {Simon Meister and Junhwa Hur and Stefan Roth},
title = {UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss},
booktitle = {AAAI},
year = {2018}}
@inproceedings{UnsupDepth,
title={Unsupervised Learning of Depth and Ego-Motion from Video},
author={Ravi Garg and BG Vijay Kumar and Gustavo Carneiro and Ian Reid},
booktitle={ECCV},
year={2016}}
@inproceedings{UnsupPoseDepth,
title={Unsupervised CNN for single view depth estimation: Geometry to the rescue},
author={Tinghui Zhou and Matthew Brown and Noah Snavely and David G. Lowe},
booktitle={CVPR},
year={2017}}
@inproceedings{UnsupFlownet,
title={Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness},
author={Jason J. Yu and Adam W. Harley and Konstantinos G. Derpanis},
booktitle={ECCV Workshops},
year={2016}}
@inproceedings{ImageNet,
title={ImageNet Large Scale Visual Recognition Challenge},
author={Olga Russakovsky and others},
booktitle={IJCV},
year={2015}}

4
thesis.tex
View File

@ -64,6 +64,7 @@
\DeclareFieldFormat*{citetitle}{\mkbibemph{#1\isdot}} % zitierte Titel kursiv formatieren
\DeclareFieldFormat*{title}{\mkbibemph{#1\isdot}} % zitierte Titel kursiv formatieren
\addbibresource{long_extended.bib} % Hier Pfad zu deiner .bib-Datei hineinschreiben
\addbibresource{bib.bib} % Hier Pfad zu deiner .bib-Datei hineinschreiben
\nocite{*} % Alle Einträge in der .bib-Datei im Literaturverzeichnis ausgeben, auch wenn sie nicht im Text zitiert werden. Gut zum Testen der .bib-Datei, sollte aber nicht generell verwendet werden. Stattdessen lieber gezielt Einträge mit Keywords ausgeben lassen (siehe \printbibliography in Zeile 224).
@ -78,6 +79,9 @@
\newcommand*{\myinstitute}{Visual Inference Group}
\newcommand*{\myfaculty}{Fachbereich Informatik}
\usepackage{titlesec}
\newcommand{\sectionbreak}{\clearpage}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}