Program
Presenter instructions: If you are a presenter (oral or poster session) check here the instructions.
Keynote Speakers
Conference Program Overview
Tuesday, 10/25/16 | |
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9:00 - 9:15 AM | Opening Remarks |
9:15 - 10:00 AM | Keynote 1: Steve Seitz, "The Holodeck" |
10:00 - 10:30 AM | Coffee Break |
10:30 - 11:30 AM | Oral Session 1 |
11:30 - 2:00 PM | Lunch & Poster session 1 |
2:00 - 2:45 PM | Keynote 2: Marc Pollefeys, “Semantic 3D Reconstruction" |
2:45 - 3:10 PM | Coffee Break |
3:10 - 4:10 PM | Oral Session 2 |
5:00 - 8:00 PM | Welcome Reception (@Ford Gardens, Conference Center) |
Wednesday, 10/26/16 | |
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9:00 - 9:15 AM | Announcements |
9:15 - 10:00 AM | Keynote 3: Rick Szeliski, “3D Reconstruction for Image-Based Rendering" |
10:00 - 10:30 AM | Coffee Break |
10:30 - 11:30 AM | Oral Session 3 |
11:30 - 2:00 PM | Lunch & Poster session 2 |
2:00 - 2:45 PM | Keynote 4: Stefano Soatto, “Object Detection in the Deep Scene" |
2:45 - 3:10 PM | Coffee Break |
3:10 - 4:10 PM | Oral Session 4 |
4:30 - 6:00 PM | Tour of Stanford Campus |
6:00 - 8:00 PM | Banquet |
Thursday, 10/27/16 | |
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9:00 - 9:15 AM | Announcements |
9:15 - 10:00 AM | Keynote 5: Jana Kosecka, “Semantic Understanding for Robot Perception" |
10:00 - 10:30 AM | Coffee Break |
10:30 - 11:30 AM | Oral Session 5 |
11:30 AM - 2:00 PM | Lunch & Poster session 3 |
2:00 - 2:45 PM | Keynote 6: Bill Freeman, “Learning about the World by Hitting Things with a Drumstick" |
2:45 - 3:10 PM | Coffee Break |
3:10 - 3:50 PM | Oral Session 6 |
3:50 - 4:30 PM | Awards, Closing Remarks and 3DV-17 |
Conference Program Details
Oral Session 1
Session Chair: Richard Newcombe
Matching Deformable Objects in Clutter
Progressive 3D Modeling All the Way
SceneNN: a Scene Meshes Dataset with aNNotations
Oral Session 2
Session Chair: Matthias Niessner
A Hybrid Structure/Trajectory Constraint for Visual SLAM
Real-time surface of revolution reconstruction on dense SLAM
Monocular, Real-Time Surface Reconstruction using Dynamic Level of Detail
Poster Session 1
A Large-Scale 3D Object Recognition dataset
Robust Feature-Preserving Denoising of 3D Point Clouds
Registration of Point Clouds Based on the Ratio of Bidirectional Distances
Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction
Exemplar-Based 3D Shape Segmentation in Point Clouds
3D Data Acquisition and Registration using Two Opposing Kinects
Robust Recovery of Heavily Degraded Depth Measurements
Multi-body Non-rigid Structure-from-Motion
Large Scale SfM with the Distributed Camera Model
Optical Flow for Rigid Multi-Motion Scenes
Absolute pose and structure from motion for surfaces of revolution: minimal problems using apparant contours
Deep Stereo Fusion: combining multiple disparity hypotheses with deep-learning
Fast Obstacle Detection using Sparse Edge-based Disparity Maps
A Depth Restoration Occlusionless Temporal Dataset
Proceduralization for Editing 3D Architectural Models
Model-based Outdoor Performance Capture
Rapid Hand Shape Reconstruction with Chebyshev Phase Shifting
Computing temporal alignments of human motion sequences in wide clothing using geodesic patches
HS-Nets : Estimating Human Body Shape from Silhouettes with Convolutional Neural Networks
Energy-based Global Ternary Image for Action Recognition Using Sole Depth Sequences
Welcome Reception
The Welcome Reception will take place on Tuesday October 25th, from 5.00-8.00PM. It will be hosted in the Ford Gardens at the Francis C. Arrillaga Alumni Center (same location as poster session).
Oral Session 3
Session Chair: Emanuele Rodolà
Deeper Depth Prediction with Fully Convolutional Residual Networks
Depth from Gradients in Dense Light Fields for Object Reconstruction
Single-image RGB Photometric Stereo With Spatially-varying Albedo
Oral Session 4
Session Chair: Sudipta Sinha
3D Saliency for Finding Landmark Buildings
Dense wide-baseline scene flow from two handheld video cameras
Automatic 3D Model Alignment for Mixed Image-Based Rendering
Poster Session 2
HDRFusion: HDR SLAM using a low-cost auto-exposure RGB-D sensor
Single View 3D Reconstruction under an Uncalibrated Camera and an Unknown Mirror Sphere
Tracking deformable surfaces that undergo topological changes using an RGB-D camera
Video Depth-From-Defocus
Robust Tracking in Low Light and Sudden Illumination Changes
Real-time Halfway Domain Reconstruction of Motion and Geometry
3D Face Reconstruction by Learning from Synthetic Data
Structure from Category: A Generic and Prior-less Approach
Radiometric Scene Decomposition: Scene Reflectance, Illumination, and Geometry from RGB-D Images
CNN-based Object Segmentation in Urban LIDAR With Missing Points
Multiview RGB-D Dataset for Object Instance Detection
Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variations
A Single-shot Multi-path Interference Resolution for Mirror-based Full 3D Shape Measurement with a Correlation-based ToF Camera
Cotemporal Multi-View Video Segmentation
Multi-View Inpainting for Image-Based Scene Editing and Rendering
Learning to Navigate the Energy Landscape
A Closed-form Bayesian Fusion Equation using Occupancy Probabilities
Consistent Discretization and Minimization of the L1 Norm on Manifolds
Coupled Functional Maps
Oral Session 5
Session Chair: Bryan Russell
Shape Analysis with Anisotropic Windowed Fourier Transform
Synthesizing Training Images for Boosting Human 3D Pose Estimation
Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization
Oral Session 6
Session Chair: Noah Snavely
SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs
Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching
Poster Session 3
Room Layout Estimation with Object and Material Attributes Information using a Spherical Camera
Regularized 3D Modeling From Noisy Building Reconstructions
Detecting and Correcting Shadows in Urban Point Clouds and Image Collections
X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment
Will it last? Learning Stable Features for Long-Term Visual Localization
A 3D Reconstruction with High Density and Accuracy using Laser Profiler and Camera Fusion System on a Rover
Quaternionic Upsampling: Hyperspherical Techniques for 6 DoF Pose Tracking
Camera Motion from Group Synchronization
Discriminative Filters for Depth from Defocus
Robust Plane-based Calibration of Multiple Non-Overlapping Cameras
Single-shot Time-of-Flight Phase Unwrapping Using Two Modulation Frequencies
Fast Single Shot Detection and Pose Estimation
Learning camera viewpoint using CNN to improve 3D body pose estimation
3D Human Pose Estimation via Deep Learning from 2D annotations
Synthetic prior design for real-time face tracking
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Multi-Label Semantic 3D Reconstruction using Voxel Blocks
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Comparison of Radial and Tangential Geometries for Cylindrical Panorama
Tutorials and Exhibits
Friday, 10/28/16
Tutorials | |||
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9:00 - 12:00 AM | Tutorial 1: Semantic and Structured 3D Modeling | Tutorial 2: Understanding 3D and Visuo-Motor Learning | |
12:00 - 2:00 PM | Lunch | ||
2:00 - 5:00 PM | Tutorial 3: 3D Object Geometry from Single Image | Tutorial 4: Large-scale 3D Modeling from Crowdsourced Data |
Exhibits & Demos | ||
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10:00 AM - 5:00 PM | Exhibits & Demos | |
*See below for the full list of Exhibitors and Demos. |