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

Announcements

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

Introduction

• 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.

Registration

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

Requirements

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

Schedule

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