TeachingSs21RT3DCV

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 and Deep Learning

PD Federico Tombari, Nikolas Brasch, Evin Pinar Ornek, HyunJun Jung

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

Announcements

  • You can submit your motivation letter via email
  • Preliminary Meeting: *February 1st, 13:00 - 13:30, slides
  • All sessions will be held over Zoom

Introduction

  • 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.

Registration

Requirements

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.
  • Blog Post: A blog post of approx. 3000 words is written and submitted as a markdown file two weeks after the presentation.
  • 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 blog post and presentation have to be done in English.

List of Topics and Material

# Authors Title Conference Link Tutor Student  
1 Nie et. al. RfD?-Net: Point Scene Understanding by Semantic Instance Reconstruction CVPR 2021 paper Yida Wang Daoyi  
2 Chibane et al. Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion CVPR 2020 paper Yida Wang Hanzhi  
3 Zhao et. al. Point Transformer arxiv paper Evin Pinar Ornek Ömer  
4 Wiles et al. SynSin?: End-to-end View Synthesis from a Single Image CVPR 2020 paper Evin Pinar Ornek Tom  
5 Yu et al. pixelNeRF: Neural Radiance Fields from One or Few Images CVPR 2021 paper Shun-Cheng Wu Jonathan  
6 Sucar et al. iMAP: Implicit Mapping and Positioning in Real-Time CVPR 2021 paper Shun-Cheng Wu Anja  
7 J.Yang et al. Cost Volume Pyramid Based Depth Inference for Multi-View Stereo CVPR 2020 paper HyunJun Jung Zhuolun  
8 X.Long et al. Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks CVPR 2021 paper HyunJun Jung Felix  
9 Germain et al. Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation CVPR 2021 paper Mahdi Saleh Aditya  
10 Wang et al. GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation CVPR 2021 paper Yan Di? Nijat  
11 Li et al. Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes CVPR 2020 paper Pengyuan Wang Christian  
12 Mei et al. Don't Hit Me! Glass Detection in Real-world Scenes CVPR 2020 paper Yanyan Li Ihsan  

Schedule

Each student is required to attend all presentations.

Date Time Place Speaker Topic
Mon, Februar 1, 2021 13:00-13:30 Zoom Tutors Introductory talk slides
Fri, April 16, 2021 15:00-17:00 Zoom Federico Tombari Introductory session slides
Fri, April 30, 2021 15:00-17:00 Zoom Daoyi, Hanzhi, Ömer Student presentations
Fri, May 21, 2021 15:00-17:00 Zoom Tom, Jonathan, Anja Student presentations
Fri, June 11, 2021 15:00-17:00 Zoom Zhuolun, Felix, Aditya Student presentations
Fri, July 2, 2021 15:00-17:00 Zoom Nijat, Christian, Ihsan Student presentations
Fri, July 16, 2021 15:00-17:00 Zoom   Backup



TeachingForm
Title: Recent Trends in 3D Computer Vision and Deep Learning
Professor: PD Dr. Federico Tombari
Tutors: Nikolas Brasch; Evin Ornek; HyunJun Jung
Type: Hauptseminar
Information: Hauptseminar, SWS: 2, ECTS: 5
Term: 2021SoSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.11 - 04 Jun 2021 - 12:23 - MahdiSaleh

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