| 3DV2020 Program |
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| Day 2 : Thursday 26
November |
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| Keynote 2 |
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SlidesLive |
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| Recent Progress in
Solving Minimal Problems in 3D Reconstruction |
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| Tomas Pajdla
(Czech Technical University in Prague) |
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| Oral 2A : Shape
and Motion |
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SlidesLive |
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| ID |
Poster # |
Paper Title & Authors |
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| 37 |
271 |
Instant Recovery of
Shape from Spectrum via Latent Space Connections |
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Riccardo Marin;
Arianna Rampini; Umberto Castellani; Emanuele Rodola; Maks Ovsjanikov; Simone
Melzi |
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| 367 |
272 |
Differential
Photometric Consistency |
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Hongyi Fan; Benjamin
Kunsberg; Benjamin Kimia |
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| 249 |
273 |
Distributed
Photometric Bundle Adjustment |
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Nikolaus Demmel;
Maolin Gao; Emanuel Laude; Tao Wu; Daniel Cremers |
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| 219 |
274 |
Self-Supervised
Learning of Non-Rigid Residual Flow and Ego-Motion |
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Ivan Tishchenko;
Sandro Lombardi; Martin R. Oswald; Marc Pollefeys |
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| 53 |
275 |
A Divide et Impera
Approach for 3D Shape Reconstruction from Multiple Views |
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Riccardo Spezialetti;
David Joseph New Tan; Alessio Tonioni; Keisuke Tateno; Federico Tombari |
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| 257 |
276 |
Time Shifted IMU
Preintegration for Temporal Calibration in Incremental Visual-Inertial
Initialization |
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Bruno Petit; Richard
Guillemard; Vincent Gay-Bellile |
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| Poster Spotlight
2A |
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SlidesLive |
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| ID |
Poster # |
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| 71 |
211 |
RidgeSfM: Structure
from Motion via Robust Pairwise Matching Under Depth Uncertainty |
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Ben Graham; David
Novotny |
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| 121 |
212 |
Visualizing Spectral
Bundle Adjustment Uncertainty |
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Kyle Wilson; Scott
Wehrwein |
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| 143 |
213 |
A Linear Approach to
Absolute Pose Estimation for Light Fields |
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Sotiris Nousias;
Manolis Lourakis; Christos Bergeles; Sebastien Ourselin; Pearse A Keane |
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| 221 |
214 |
Joint Unsupervised
Learning of Optical Flow and Egomotion with Bi-Level Optimization |
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Shihao Jiang; Dylan
Campbell; Miaomiao Liu; Stephen Gould; Richard Hartley |
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| 318 |
215 |
Intrinsic Dynamic
Shape Prior for Dense Non-Rigid Structure from Motion |
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Vladislav Golyanik;
Andre Jonas; Didier Stricker; Christian Theobalt |
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| 33 |
221 |
GAMesh: Guided and
Augmented Meshing for Deep Point Networks |
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Nitin Agarwal; Gopi
Meenakshisundaram |
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| 123 |
222 |
A Progressive
Conditional Generative Adversarial Network for Generating Dense and Colored
3D Point Clouds |
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Mohammad Samiul
Arshad; William Beksi |
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| 162 |
223 |
Depth Completion using
a View-constrained Deep Prior |
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Pallabi Ghosh; Vibhav
Vineet; Larry Davis; Abhinav Shrivastava; Sudipta Sinha; Neel Joshi |
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| 236 |
224 |
Compression and
Completion of Animated Point Clouds using Topological Properties of the
Manifold |
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Linfei Pan; Lubor
Ladicky; Marc Pollefeys |
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| 283 |
225 |
Self-supervised Depth
Denoising Using Lower- and Higher-quality RGB-D sensors |
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Akhmedkhan Shabanov;
Ilya Krotov; Nikolay N. Chinaev; Vsevolod Poletaev; Sergei Viktorovic
Kozlukov; Igor Pasechnik; Bulat Yakupov; Artsiom O. Sanakoyeu; Vadim Lebedev;
Dmitry Ulyanov |
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| 11 |
231 |
PanoNet3D: Combining
Semantic and Geometric Understanding for LiDAR Point Cloud Detection |
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Xia Chen; Jianren
Wang; David Held; Martial Hebert |
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| 35 |
232 |
Dense Point Diffusion
for 3D Object Detection |
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Xu Liu; Jiayan Cao;
Qianqian Bi; Yichen Wei; Jian Wang; Boxin Shi |
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| 78 |
233 |
SF-UDA-3D: Source-Free
Unsupervised Domain Adaptation for LiDAR-based 3D Object Detection |
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Cristiano Saltori;
Stéphane Lathuilière; Elisa Ricci; Nicu Sebe; Fabio Galasso |
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| 81 |
234 |
LiDAR-based Recurrent
3D Semantic Segmentation with Temporal Memory Alignment |
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Fabian Duerr; Mario
Pfaller; Hendrik Weigel; Jürgen Beyerer |
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| 154 |
235 |
Rethinking PointNet
Embedding for Faster and Compact Model |
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Teppei Suzuki; Keisuke
Ozawa; Yusuke Sekikawa |
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| Oral 2B : Deep
Learning for 3D Data |
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SlidesLive |
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| ID |
Poster # |
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| 114 |
281 |
RANP: Resource Aware
Neuron Pruning at Initialization for 3D CNNs |
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Zhiwei Xu;
Thalaiyasingam Ajanthan; Vibhav Vineet; Richard Hartley |
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| 124 |
282 |
Torch-Points3D: A
Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point
Clouds |
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Nicolas Chaulet;
Thomas Chaton; Sofiane Horache; loic landrieu |
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| 243 |
283 |
Learning
Rotation-Invariant Representations of Point Clouds Using Aligned Edge
Convolutional Neural Networks |
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Junming Zhang;
Ming-Yuan Yu; Ram Vasudevan; Matthew Johnson Roberson |
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| 45 |
284 |
Global Context Aware
Convolutions for 3D Point Cloud Understanding |
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Zhiyuan Zhang;
Binh-Son Hua; Wei Chen; Yibin Tian; Sai-Kit Yeung |
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| 171 |
285 |
Screen-space
Regularization on Differentiable Rasterization |
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Kunyao Chen; Cheolhong
An; Truong Nguyen |
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| 345 |
286 |
Cycle-Consistent
Generative Rendering for 2D-3D Modality Translation |
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Tristan T.
Aumentado-Armstrong; Alex Levinshtein; Stavros Tsogkas; Konstantinos
Derpanis; Allan D. Jepson |
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| Poster Spotlight
2B |
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SlidesLive |
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| ID |
Poster # |
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| 73 |
241 |
SCFusion: Real-time
Incremental Scene Reconstruction with Semantic Completion |
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Shuncheng Wu; Federico
Tombari; Keisuke Tateno; Nassir Navab |
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| 122 |
242 |
Smart
Time-Multiplexing of Quads Solves the Multicamera Interference Problem |
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Tomislav Pribanic;
Tomislav Petković; David Bojanić; Kristijan Bartol; Mohit Gupta |
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| 173 |
243 |
Restoration of Motion
Blur in Time-of-Flight Depth Image using Data Alignment |
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Zhuo Chen; Rendong
Ying; Peilin Liu; Fei Wen; Jun Wang |
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| 292 |
244 |
Temporal LiDAR Frame
Prediction for Autonomous Driving |
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David Deng; Avideh
Zakhor |
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| 339 |
245 |
Deep LiDAR
Localization Using Optical Flow Sensor-map Correspondences |
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Anders Karlsson;
Lennart Svensson; Torsten Sattler |
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| 146 |
251 |
Learning Distribution
Independent Latent Representation for 3D Face Disentanglement |
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Zihui Zhang; Cuican
Yu; Huibin Li; Jian Sun; Liu Feng |
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| 163 |
252 |
Learning 3D Faces from
Photo-Realistic Facial Synthesis |
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Ruizhe Wang; Chih-Fan
Chen; Hao Peng; Xudong Liu; Xin Li |
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| 164 |
253 |
GIF: Generative
Interpretable Faces |
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Partha Ghosh; Pravir
Singh Gupta; Roy Uziel; Anurag Ranjan; Michael J. Black; Timo Bolkart |
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| 182 |
254 |
PeeledHuman: Robust
Shape Representation for Textured 3D Human Body Reconstruction |
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Sai Sagar; Rohan
Chacko; Avinash Sharma; P. J. Narayanan |
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| 217 |
255 |
Do We Need Depth in
State-Of-The-Art Face Authentication? |
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Amir Livne; Alex
Bronstein; Ron Kimmel; Ziv Aviv; Shahaf Grofit |
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| 214 |
261 |
Error Bounds of
Projection Models in Weakly Supervised 3D Human Pose Estimation |
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Nikolas Klug; Moritz
Einfalt; Stephan Brehm; Rainer Lienhart |
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| 225 |
262 |
LCD – Line Clustering
and Description for Place Recognition |
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Felix K. J. Taubner;
Florian Tschopp; Tonci Novkovic; Roland Siegwart; Fadri Furrer |
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| 309 |
263 |
Convolutional
Autoencoders for Human Motion Infilling |
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Manuel Kaufmann; Emre
Aksan; Jie Song; Fabrizio Pece; Remo Ziegler; Otmar Hilliges |
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| 348 |
264 |
3D Deep Learning for
Biological Function Prediction from Physical Fields |
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Vladimir Golkov;
Marcin J. Skwark; Atanas Mirchev; Georgi Dikov; Alexander R. Geanes; Jeffrey
Mendenhall; Jens Meiler; Daniel Cremers |
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| Poster Session 2 |
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SpatialChat |
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| Live poster presentation at SpatialChat rooms |
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| (papers in Poster
Spotlight 2A & 2B, Oral 2A & 2B and demos) |
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