CVPR 2019 Tutorial on Map Synchronization Introduction Qixing
![Application in information propagation Protein-protein interaction network alignment [Kolar et al. 08] Nonparametric Scene](https://slidetodoc.com/presentation_image_h/018666adb93adbcee44d12e88a762b7d/image-6.jpg "Application in information propagation Protein-protein interaction network alignment [Kolar et al. 08] Nonparametric Scene")
![Application in 3 D Reconstruction Multiview Stereo [Furukawa and Hernandez 15] Dynamic geometry reconstruction](https://slidetodoc.com/presentation_image_h/018666adb93adbcee44d12e88a762b7d/image-7.jpg "Application in 3 D Reconstruction Multiview Stereo [Furukawa and Hernandez 15] Dynamic geometry reconstruction")
![Monocular reconstruction Semantic scene completion [Song et al. 17] Space of images Marr. Net](https://slidetodoc.com/presentation_image_h/018666adb93adbcee44d12e88a762b7d/image-9.jpg "Monocular reconstruction Semantic scene completion [Song et al. 17] Space of images Marr. Net")
![Matching through intermediate objects --- map propagation Blended intrinsic maps [Kim et al. 11]](https://slidetodoc.com/presentation_image_h/018666adb93adbcee44d12e88a762b7d/image-15.jpg "Matching through intermediate objects --- map propagation Blended intrinsic maps [Kim et al. 11]")
![Multi-lingual translation [Johnson et al. 16] Sparse paired data Korean Portuguese pa ch ta](https://slidetodoc.com/presentation_image_h/018666adb93adbcee44d12e88a762b7d/image-16.jpg "Multi-lingual translation [Johnson et al. 16] Sparse paired data Korean Portuguese pa ch ta")
- Slides: 17
CVPR 2019 Tutorial on Map Synchronization Introduction Qixing Huang Xiaowei Zhou Junyan Zhu Tinghui Zhou
Speakers Tutorial: Map Synchronization
Map Synchronization? Map Synchronization Tutorial: Map Synchronization
Maps between sets Source: https: //en. wikipedia. org/wiki/Bijection Tutorial: Map Synchronization
Maps can take many forms Dense correspondences Feature correspondences Source: http: //www. robots. ox. ac. uk/~vgg/practicals/instance-recognition/index. html Tutorial: Map Synchronization Segment correspondences
Application in information propagation Protein-protein interaction network alignment [Kolar et al. 08] Nonparametric Scene Parsing [Liu et al. 11] Tutorial: Map Synchronization
Application in 3 D Reconstruction Multiview Stereo [Furukawa and Hernandez 15] Dynamic geometry reconstruction [Li et al. 15] Tutorial: Map Synchronization
Neural networks are maps • Approximate any function given sufficient data Tutorial: Map Synchronization
Monocular reconstruction Semantic scene completion [Song et al. 17] Space of images Marr. Net [Wu et al. 17] Space of 3 D models Tutorial: Map Synchronization
Image Captioning Space of images Space of natural language descriptions Tutorial: Map Synchronization
The promise of joint map computation
Ambiguities in assembling pieces Tutorial: Map Synchronization
Resolving ambiguities by looking at additional pieces Tutorial: Map Synchronization
Resolving ambiguities by looking at additional pieces Tutorial: Map Synchronization
Matching through intermediate objects --- map propagation Blended intrinsic maps [Kim et al. 11] Intermediate object Composite Tutorial: Map Synchronization
Multi-lingual translation [Johnson et al. 16] Sparse paired data Korean Portuguese pa ch ta Ri da d ire Rich d da ta pa English Tutorial: Map Synchronization
Agenda • 09: 00 am – 09: 15 am: Introduction (Qixing Huang) • 09: 15 am – 10: 15 am: Correspondences and transformations (Xiaowei Zhou) • 10: 15 am – 10: 45 am: Unsupervised object/part discovery (Qixing Huang) • • 10: 45 am – 11: 00 am: Break 11: 00 am – 11: 50 am: Cross-domain mapping (Junyan Zhu) 11: 50 am – 12: 25 pm: Theoretical aspects (Qixing Huang) 12: 25 pm – 12: 30 pm: Concluding remarks (All Together) Tutorial: Map Synchronization