Difference between revisions of "ReadingGroup"
From Deep Depth 116E167 Project Documentation
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− | = Schedule = | + | = Proposed Schedule = |
* Week of 11 Sept: Foley & Maitlin Chapter 6 - Distance & Size Perception | * Week of 11 Sept: Foley & Maitlin Chapter 6 - Distance & Size Perception | ||
* Week of 18 Sept: Saxena, Min & Ng: Make3D | * Week of 18 Sept: Saxena, Min & Ng: Make3D | ||
* Week of 25 Sept: Michels, Saxena & Ng: High speed obstacle avoidance | * Week of 25 Sept: Michels, Saxena & Ng: High speed obstacle avoidance | ||
− | * Week of 02 Octr: | + | * Week of 02 Octr: Karsch, Liu & Kang: Depth Transfer |
− | * Week of 09 Octr: | + | * Week of 09 Octr: LeCun, Bottou, Bengio & Haffner: CNNs |
− | * Week of 16 Octr: | + | * Week of 16 Octr: Krizhevsky, Sutskever & Hinton: ImageNet/AlexNet |
* Week of 23 Octr: | * Week of 23 Octr: | ||
* Week of 30 Octr: '''Midterm break.''' | * Week of 30 Octr: '''Midterm break.''' | ||
− | * Week of 06 | + | * Week of 06 Novr: Eigen, Puhrsch & Fergus: Depth map prediction |
− | * Week of 13 | + | * Week of 13 Novr: Shelhamer, Long & Darrell: Fully Convolutional Segmentation |
− | * Week of 20 | + | * Week of 20 Novr: |
− | * Week of 27 | + | * Week of 27 Novr: |
− | * Week of 04 | + | * Week of 04 Decr: |
− | * Week of 11 | + | * Week of 11 Decr: |
− | * Week of 18 | + | * Week of 18 Decr: |
= Details = | = Details = | ||
Line 30: | Line 30: | ||
http://dl.acm.org/citation.cfm?id=1102426 | http://dl.acm.org/citation.cfm?id=1102426 | ||
+ | |||
+ | == Karsch, Liu & Kang: Depth Transfer == | ||
+ | |||
+ | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5551153 | ||
+ | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6787109 | ||
+ | |||
+ | == LeCun, Bottou, Bengio & Haffner: CNNs == | ||
+ | |||
+ | http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf | ||
+ | |||
+ | == Krizhevsky, Sutskever & Hinton: ImageNet/AlexNet == | ||
+ | |||
+ | https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf | ||
== Eigen, Puhrsch & Fergus: Depth map prediction == | == Eigen, Puhrsch & Fergus: Depth map prediction == | ||
https://www.cs.nyu.edu/~deigen/depth/ | https://www.cs.nyu.edu/~deigen/depth/ | ||
+ | |||
+ | == Shelhamer, Long & Darrell: Fully Convolutional Segmentation == | ||
+ | |||
+ | http://arxiv.org/abs/1605.06211 |
Revision as of 16:08, 15 August 2017
Contents
- 1 Proposed Schedule
- 2 Details
- 2.1 Foley & Maitlin Chapter 6 - Distance & Size Perception
- 2.2 Saxena, Min & Ng: Make3D
- 2.3 Michels, Saxena & Ng: High speed obstacle avoidance
- 2.4 Karsch, Liu & Kang: Depth Transfer
- 2.5 LeCun, Bottou, Bengio & Haffner: CNNs
- 2.6 Krizhevsky, Sutskever & Hinton: ImageNet/AlexNet
- 2.7 Eigen, Puhrsch & Fergus: Depth map prediction
- 2.8 Shelhamer, Long & Darrell: Fully Convolutional Segmentation
Proposed Schedule
- Week of 11 Sept: Foley & Maitlin Chapter 6 - Distance & Size Perception
- Week of 18 Sept: Saxena, Min & Ng: Make3D
- Week of 25 Sept: Michels, Saxena & Ng: High speed obstacle avoidance
- Week of 02 Octr: Karsch, Liu & Kang: Depth Transfer
- Week of 09 Octr: LeCun, Bottou, Bengio & Haffner: CNNs
- Week of 16 Octr: Krizhevsky, Sutskever & Hinton: ImageNet/AlexNet
- Week of 23 Octr:
- Week of 30 Octr: Midterm break.
- Week of 06 Novr: Eigen, Puhrsch & Fergus: Depth map prediction
- Week of 13 Novr: Shelhamer, Long & Darrell: Fully Convolutional Segmentation
- Week of 20 Novr:
- Week of 27 Novr:
- Week of 04 Decr:
- Week of 11 Decr:
- Week of 18 Decr:
Details
Foley & Maitlin Chapter 6 - Distance & Size Perception
https://books.google.com.tr/books?id=jLBmCgAAQBAJ&printsec=frontcover
Saxena, Min & Ng: Make3D
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4531745
Michels, Saxena & Ng: High speed obstacle avoidance
http://dl.acm.org/citation.cfm?id=1102426
Karsch, Liu & Kang: Depth Transfer
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5551153 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6787109
LeCun, Bottou, Bengio & Haffner: CNNs
http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf
Krizhevsky, Sutskever & Hinton: ImageNet/AlexNet
Eigen, Puhrsch & Fergus: Depth map prediction
https://www.cs.nyu.edu/~deigen/depth/