Dissertation: Image Synthesis for Self-Supervised Representation Learning (4/18) скачать в хорошем качестве

Dissertation: Image Synthesis for Self-Supervised Representation Learning (4/18)

This is my dissertation talk, recorded on April 2018. The talk outline is below: [0] 0:00 Introduction by my advisor, Alexei A. Efros [1] 3:02 Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros In ECCV, 2016 (oral presentation). http://richzhang.github.io/colorization/ [2] 8:29 Real-Time User-Guided Image Colorization with Learned Deep Priors Richard Zhang*, Jun-Yan Zhu*, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros (*indicates equal contribution) In SIGGRAPH, 2017. https://richzhang.github.io/ideepcolor/ [3] 16:30 Toward Multimodal Image-to-Image Translation Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman In NIPS, 2017. https://junyanz.github.io/BicycleGAN/ [4] 27:38 Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Zhang, Phillip Isola, Alexei A. Efros In CVPR, 2017. https://richzhang.github.io/splitbrai... [5] 36:14 The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang To appear in CVPR, 2018. https://richzhang.github.io/Perceptua... [6] 42:46 Conclusion, Acknowledgements Note that the bottom of the slides (which includes relevant references) are unfortunately cut off. Talk slides are here: https://www.dropbox.com/s/96f0xhfwvjn...