ETH Zurich - D-INFK - IVC - CVG - Lectures - 3D Vision

3D Vision


Papers

For each project group, we will assign a paper to present, which is chosen in accordance with the group's project. In this way we want to guarantee that a detailed discussion of the paper also is beneficial for your project.

The presentation length will be announced during the semester.

Note: You have access to IEEExplore within the ETH network, i.e. from outside use a VPN client to connect.

March 20

Group 21
Schönberger et al., Structure-from-Motion Revisited
opponent: Group 22

Group 13
Ventura et al., Structure-from-Motion on a Sphere
opponent: Group 6

Group 14
Sweeney et al., Large Scale SfM with the Distributed Camera Model
opponent: Group 15


March 27

Group 12
Galliani et al., Just look at the image: viewpoint-specific surface normal prediction for improved multi-view reconstruction
opponent: Group 13

Group 3
Wang et al., The global patch collider
opponent: Group 4

Group 20
Zbontar et al., Stereo matching by training a convolutional neural network to compare image patches
opponent: Group 21


April 03

Group 22
Salas-Moreno et al., SLAM++: Simultaneous Localisation and Mapping at the Level of Objects
opponent: Group 1

Group 2
Engel et al., Direct Sparse Odometry
opponent: Group 3

Group 7
Taneja et al., City-Scale Change Detection in Cadastral 3D Models using Images
opponent: Group 8


April 24

Group 15
Ulusoy et al., Towards Probabilistic Volumetric Reconstruction using Ray Potentials
opponent: Group 16

Group 18
Wu et al., 3D ShapeNets: A Deep Representation for Volumetric Shapes
opponent: Group 19

Group 9
Lafarge et al., A Hybrid Multiview Stereo Algorithm for Modeling Urban Scenes
opponent: Group 10


May 08

Group 6
Niessner et al., Real-time 3D Reconstruction at Scale using Voxel Hashing
opponent: Group 7

Group 19
Dzitsiuk et al., De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors
opponent: Group 20

Group 16
Choi et al., Robust Reconstruction of Indoor Scenes
opponent: Group 17

Group 11
Gupta et al., Aligning 3D models to RGB-D images of cluttered scenes
opponent: Group 12


May 15

Group 10
Jia et al., 3D-Based Reasoning with Blocks, Support, and Stability
opponent: Group 11

Group 8
Armeni et al., 3D Semantic Parsing of Large-Scale Indoor Spaces
opponent: Group 9

Group 4
Chen et al., DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
opponent: Group 5


May 22

Group 1
Newcombe et al., DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time
opponent: Group 2

Group 17
Thies et al., Face2Face: Real-time Face Capture and Reenactment of RGB Videos
opponent: Group 18

Group 5
Flynn et al., DeepStereo: Learning to Predict New Views from the World’s Imagery
opponent: Group 14


© CVG, ETH Zürich lm@inf.ethz.ch