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

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

PD Federico Tombari, Prof. Nassir Navab, Iro Laina, Helisa Dhamo

Course number: Module IN4826
Type: Advanced Seminar Course Module IN8901
Type: Master Seminar Module IN2107
Type: Seminar Module IN0014
SWS: 2+0
ECTS: 5 Credits
Location: TBD
Time: TBD
Course Language: English


  • To express your interest for the seminar, you can send us your motivation letter/email (including relevant courses that you have taken) at rt3dcvdl-w18|[at]|googlegroups.com, until 05.07.2018.
  • Preliminary meeting: Thursday, 28.06.2018 at 13:15. Location: 03.13.010


  • The Seminar Course concerns recent advances in the field of 3D Computer Vision and Deep Learning. The Seminar will propose a list of recent scientific articles related to the main current research topics in the field, such as 3D keypoint detection and description, point cloud matching and registration, 3D object recognition and classification, SLAM, 3D reconstruction, 3D object pose estimation and tracking, depth prediction, 3D scene understanding.



In this Master Seminar, 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.
  • 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

Authors Title Conference Link Tutor Student  
Su et al. SPLATNet: Sparse Lattice Networks for Point Cloud Processing CVPR 2018 paper Mahdi Saleh Peter N.  
Liu et al. Learning Scene Flow in 3D Point Clouds arXiv 2018 paper Johanna Wald Rahul B.  
Rethage et al. Fully-Convolutional Point Networks for Large-Scale Point Clouds ECCV 2018 paper Fatemeh Alidoost Giulia M.  
Bloesch et al. CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM CVPR 2018 paper Benjamin Busam Hooriya A.  
Henriques and Vedaldi MapNet: An Allocentric Spatial Memory for Mapping Environments CVPR 2018 paper Iro Laina Abinav V.  
Das et al. Embodied Question Answering CVPR 2018 paper Iro Laina Sumant D.  
Slavcheva et al. SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-rigid Motion CVPR 2018 paper Patrick Ruhkamp Tim P.  
Tusliani et al. Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene CVPR 2018 paper Helisa Dhamo Abhishek  
Song et al. Semantic Scene Completion from a Single Depth Image CVPR 2017 paper Yida Wang Behiye A.  
Yu et al. Generative Image Inpainting with Contextual Attention CVPR 2018 paper Helisa Dhamo Aashish T.  
Tekin et al. Real-Time Seamless Single Shot 6D Object Pose Prediction CVPR 2018 paper Yongheng Zhao Shervin D.  
Pavlakos et al. 6-DoF Object Pose from Semantic Keypoints ICRA 2017 paper Ghazal Ghazaei Hyunjun J.  
Güler et al. Densepose: Dense human pose estimation in the wild CVPR 2018 paper Huseyin Coskun Abdul M.  
Xu et al. Attention-Aware Compositional Network for Person Re-identification CVPR 2018 paper Bharti Munjal Haydar S.  


The schedule for the paper presentations will be announced here during the semester. Each student is required to attend all presentations.

Date Time Place Speaker Topic
17.10.2018 14:00 - 15:30 03.13.010 Federico Tombari Introductory meeting
24.10.2018 14:00 - 15:30 03.13.010 Tim P.
Object & Scene Reconstruction
31.10.2018 14:00 - 15:30 03.13.010 Shervin D.
Hyunjun J.
6D Rigid Pose Estimation
07.11.2018 14:00 - 15:30 03.13.010 Abdul M.
Haydar S.
Human Pose and ID
21.11.2018 14:00 - 15:30 03.13.010 Peter N.
Rahul B.
Point Clouds
28.11.2018 14:00 - 15:30 03.13.010 Abinav V.
Sumant D.
Navigation & Language
05.12.2018 14:00 - 15:30 03.13.010 Aashish T.
Behiye A.
Image Completion
12.12.2018 14:00 - 15:30 03.13.010 Hooriya A.
Giulia M.
SLAM & 3D Scene Understanding
09.01.2019 - - Back up -

Title: Recent Trends in 3D Computer Vision and Deep Learning
Professor: PD Federico Tombari; Prof. Nassir Navab
Tutors: Iro Laina, Helisa Dhamo
Type: Hauptseminar
Information: Hauptseminar, SWS: 2, ECTS: 5
Term: 2018WiSe

Edit | Attach | Refresh | Diffs | More | Revision r1.16 - 07 May 2019 - 12:08 - HelisaDhamo

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