Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Hauptseminar/Master Seminar:
Recent Trends in 3D Computer Vision

Prof. Nassir Navab, Federico Tombari, Christian Rupprecht

Type: Advanced Seminar Course Module IN8901
Type: Master Seminar Module IN2107
Type: Seminar Module IN0014
SWS: 2+0
ECTS: 4 Credits
Location: TBD
Time: TBD
Course Language: English


  • Aug. 3rd: Papers have been assigned to the students.


  • The Seminar Course concerns recent advances in the field of 3D Computer Vision. The Seminar will propose a list of recent scientific articles related to the main current research topics of 3D Computer Vision, such as 3D keypoint detection, 3D features, point cloud registration, 3D object recognition and classification, SLAM and stereo vision.


  • An introductory meeting was held on JULY 20th 2016, 2:00pm in 03.13.010
  • The registration was performed though the TUM Matching Platform.


In this Master Seminar (formerly Hauptseminar), each student is asked to select one paper from a list. In order to successfully complete the seminar, participants have to fulfill these requirements:

  • Presentation: The selected paper is presented to the other participants (20 minutes presentation 10 minutes questions). Use the CAMP templates for PowerPoint camp-tum-jhu-slides.zip, or Latex: CAMP-latex-template.zip.
  • Written Report: A document of maximum 8 pages is written and submitted one week after the presentation. Please download and use the llncs2e.zip Latex template.
  • Attendance: Participants have to participate actively in all seminar sessions.

The students are required to attend each seminar presentation which will be held during this course. Each presentation is followed by a discussion and everyone is encouraged to actively participate. The report must include all references used and must be written completely in your own words. Copy and paste will not be tolerated. Both report and presentation have to be done in English.

List of Topics and Material

The list of papers:

Nr Authors Title Conference Link Tutor Student
1. Albert Haque, Alexandre Alahi, Li Fei-Fei Recurrent Attention Models for Depth-Based Person Identification CVPR 2016 link Huseyin Mohammad Alhasni
2. Tinghui Zhou, Philipp Krahenbühlü, Mathieu Aubry, Qixing Huang, Alexei A. Efros Learning Dense Correspondence via 3D-guided Cycle Consistency arXiv 2016 link Huseyin Juan Jose Gonzalez
3. Xiaozhi Chen , Kaustav Kundu, Ziyu Zhang , Huimin Ma , Sanja Fidler , Raquel Urtasun Monocular 3D Object Detection for Autonomous Driving CVPR 2016 link Iro Mona Beikirch
4. Junyuan Xie, Ross Girshick, Ali Farhadi Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks arXiv 2016 link Iro Karim Shaban
5. Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images CVPR 2016 link Niko Maximilian Bandle
6. Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao 3DMatch: Learning the Matching of Local 3D Geometry in Range Scans arXiv 2016 link Tolga Mario Antón
7. Matthias Innmann, Michael Zollhöfer, Matthias Nießner, Christian Theobalt, Marc Stamminger VolumeDeform: Real-time Volumetric Non-rigid Reconstruction ECCV 2016 link Mira Diego Martin Arroyo
8. Michael Firman, Oisin Mac Aodha, Simon Julier, Gabriel J. Brostow Structured Prediction of Unobserved Voxels From a Single Depth Image CVPR 2016 link Mira Carmel Kozlov
9. Sean Ryan Fanello, Christoph Rhemann, Vladimir Tankovich HyperDepth: Learning Depth From Structured Light Without Matching CVPR 2016 link Keisuke Yunus Emre Çalışkan
10. A. Dai, M. Nießner, M. Zollhofer, S. Izadi, C. Theobalt BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration arXiv 2016 link Keisuke Florian Weinberger
11. W. Luo, A. Schwing and R. Urtasun Efficient Deep Learning for Stereo Matching CVPR 2016 link Christian Zhenzhang Ye
12. Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation arXiv 2015 link Christian Ashwary Pande
13. S. Salti, F. Tombari, R. Spezialetti, L. Di Stefano Learning a Descriptor-specific 3D Keypoint Detector ICCV 2015 link David Ashna Bhatia
14. Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, Silvio Savarese 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction arXiv 2016 link Wadim William Parker
15. M. Dou, S. Khamis, Y. Degtyarev, P. Davidson, S. R. Fanello, A. Kowdle, S. O. Escolano, C. Rhemann, D. Kim, J. Taylor, P. Kohli, V. Tankovich, S. Izadi Fusion4D: Real-Time Performance Capture of Challenging Scenes SIGGRAPH 2016 link Benjamin Felix Scheidhammer
16. Judy Hoffman, Saurabh Gupta, Trevor Darrell Learning With Side Information Through Modality Hallucination CVPR 2016 link Benjamin Nan Yang
17. B. Mahasseni, S. Todorovic Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition CVPR 2016 link Felix Justin Iszatt
18. K. Fragkiadaki, S. Levine, P. Felsen, J. Malik Recurrent Network Models for Human Dynamics ICCV 2015 link Leslie Giorgio Tabarani
19. I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, N. Navab Deeper Depth Prediction with Fully Convolutional Residual Networks 3DV 2016 link Christian Asif Chand
20. W. Kehl, F. Milletari, F. Tombari, S. Ilic, N. Navab Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation ECCV 2016 link Wadim Emerson Tucker
21. Lingyu Wei, Qixing Huang, Duygu Ceylan, Etienne Vouga, Hao Li Dense Human Body Correspondences Using Convolutional Networks CVPR 2016 link Wadim Martin Riedel


This is the final schedule for the course. Each registered student is required to attend all presentations.

Date Time Place Speaker Material
Oct 27th 15:00 - 17:00 03.13.010 Ashwary, Zhenzhang, Asif  
Nov 17th 14:00 - 16:00 03.13.010 Juan Jose, William, Maximilian  
Nov 24th 14:00 - 16:00 03.13.010 Mona, Yunus Emre, Justin  
Dec 1st 14:00 - 16:00 03.13.010 Carmel, Mohammad, Diego Martin  
Dec 8th 14:00 - 16:00 03.13.010 Mario, Florian, Felix  
Dec 15nd 14:00 - 16:00 01.09.014 Nan, Karim, Ashna  
Jan 12th 14:00 - 16:00 02.13.010 Giorgio, Emerson, Martin  

Title: Recent Trends in 3D Computer Vision
Professor: Prof. Nassir Navab
Tutors: Federico Tombari, Christian Rupprecht; Iro Laina
Type: Hauptseminar
Information: Hauptseminar, SWS: 2, ECTS: 4
Term: 2016WiSe

Edit | Attach | Refresh | Diffs | More | Revision r1.24 - 20 Mar 2017 - 20:42 - IroLaina

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