|
|
@@ -338,7 +338,8 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
|
|
|
* Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf, DeepFace: Closing the Gap to Human-Level Performance in Face Verification, CVPR, 2014. [[Paper]](https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf)
|
|
|
* Yi Sun, Ding Liang, Xiaogang Wang, Xiaoou Tang, DeepID3: Face Recognition with Very Deep Neural Networks, 2015. [[Paper]](http://arxiv.org/abs/1502.00873)
|
|
|
* Florian Schroff, Dmitry Kalenichenko, James Philbin, FaceNet: A Unified Embedding for Face Recognition and Clustering, CVPR, 2015. [[Paper]](http://arxiv.org/abs/1503.03832)
|
|
|
-
|
|
|
+* Facial Landmark Detection
|
|
|
+* Yue Wu, Tal Hassner, KangGeon Kim, Gerard Medioni, Prem Natarajan, Facial Landmark Detection with Tweaked Convolutional Neural Networks, 2015. [[Paper]](http://arxiv.org/abs/1511.04031) [[Project]](http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/)
|
|
|
## Courses
|
|
|
* Deep Vision
|
|
|
* [Stanford] [CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
|
Rex5800