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8th 3DV 2020: Fukuoka, Japan
- Vitomir Struc, Francisco Gómez Fernández:
8th International Conference on 3D Vision, 3DV 2020, Virtual Event, Japan, November 25-28, 2020. IEEE 2020, ISBN 978-1-7281-8128-8 - Adrian Hilton
, Zuzana Kukelova, Stephen Lin, Jun Sato:
Message from the 3DV 2020 Program Chairs. xx - Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 1-11 - Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild. 12-22 - Aashish Sharma, Loong-Fah Cheong, Lionel Heng, Robby T. Tan:
Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative Regions. 23-31 - Shin Ishihara, Yuta Asano
Underwater Scene Recovery Using Wavelength-Dependent Refraction of Light. 32-40 - Rajbir Kataria, Joseph DeGol, Derek Hoiem:
Improving Structure from Motion with Reliable Resectioning. 41-50 - Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski:
Reducing Drift in Structure From Motion Using Extended Features. 51-60 - Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. 61-70 - Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker:
Improved Modeling of 3D Shapes with Multi-view Depth Maps. 71-80 - Ling Luo, Yulia Gryaditskaya
Towards 3D VR-Sketch to 3D Shape Retrieval. 81-90 - Vladislav Golyanik, Soshi Shimada, Christian Theobalt
Fast Simultaneous Gravitational Alignment of Multiple Point Sets. 91-100 - Audrey Richard, Ian Cherabier, Martin R. Oswald, Marc Pollefeys
KAPLAN: A 3D Point Descriptor for Shape Completion. 101-110 - Luis Roldão, Raoul de Charette, Anne Verroust-Blondet:
LMSCNet: Lightweight Multiscale 3D Semantic Completion. 111-119 - Riccardo Marin
Instant recovery of shape from spectrum via latent space connections. 120-129 - Hongyi Fan, Benjamin Kunsberg, Benjamin B. Kimia:
Differential Photometric Consistency. 130-139 - Nikolaus Demmel, Maolin Gao, Emanuel Laude, Tao Wu, Daniel Cremers
Distributed Photometric Bundle Adjustment. 140-149 - Ivan Tishchenko, Sandro Lombardi, Martin R. Oswald, Marc Pollefeys
Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion. 150-159 - Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari:
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views. 160-170 - Bruno Petit, Richard Guillemard
Time Shifted IMU Preintegration for Temporal Calibration in Incremental Visual-Inertial Initialization. 171-179 - Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley:
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs. 180-189 - Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loïc Landrieu:
Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds. 190-199 - Junming Zhang, Ming-Yuan Yu, Ram Vasudevan
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks. 200-209 - Zhiyuan Zhang
Global Context Aware Convolutions for 3D Point Cloud Understanding. 210-219 - Kunyao Chen, Cheolhong An, Truong Q. Nguyen:
Screen-space Regularization on Differentiable Rasterization. 220-229 - Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson:
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. 230-240 - Mahdi Saleh, Shervin Dehghani, Benjamin Busam
Graphite: Graph-Induced Feature Extraction for Point Cloud Registration. 241-251 - Benjamin Holzschuh, Zorah Lähner
Simulated Annealing for 3D Shape Correspondence. 252-260 - Jhony Kaesemodel Pontes, James Hays, Simon Lucey
Scene Flow from Point Clouds with or without Learning. 261-270 - Minghui Yu, Jinxian Liu, Bingbing Ni, Caiyuan Li:
Two-Stage Relation Constraint for Semantic Segmentation of Point Clouds. 271-280 - Matthieu Zins
3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation. 281-290 - Juil Sock, Guillermo Garcia-Hernando, Anil Armagan, Tae-Kyun Kim
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images. 291-300 - Vincent Leroy, Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Grégory Rogez:
SMPLy Benchmarking 3D Human Pose Estimation in the Wild. 301-310 - Shashank Tripathi, Siddhant Ranade
PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation. 311-321 - Donglai Xiang
MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video. 322-332 - Korrawe Karunratanakul, Jinlong Yang, Yan Zhang, Michael J. Black, Krikamol Muandet
Grasping Field: Learning Implicit Representations for Human Grasps. 333-344 - Prashanth Chandran, Derek Bradley, Markus Gross, Thabo Beeler:
Semantic Deep Face Models. 345-354 - Alejandro Sztrajman, Alexandros Neophytou, Tim Weyrich
High-Dynamic-Range Lighting Estimation From Face Portraits. 355-363 - Changjiang Cai
Matching-space Stereo Networks for Cross-domain Generalization. 364-373 - Changjiang Cai
Do End-to-end Stereo Algorithms Under-utilize Information? 374-383 - Matthew Cassidy, Jean Mélou, Yvain Quéau, François Lauze, Jean-Denis Durou:
Refractive Multi-view Stereo. 384-393 - Christian Sormann
BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo. 394-403 - Andreas Kuhn, Christian Sormann
DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 404-413 - Juncheng Liu, Steven Mills, Brendan McCane
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. 414-422 - Amit Pal Singh Kohli, Vincent Sitzmann, Gordon Wetzstein
Semantic Implicit Neural Scene Representations With Semi-Supervised Training. 423-433 - Fangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz
Learning to Infer Semantic Parameters for 3D Shape Editing. 434-442 - Ignacio Sarasua, Sebastian Pölsterl
Recalibration of Neural Networks for Point Cloud Analysis. 443-451 - Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. 452-462 - Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz:
KeystoneDepth: History in 3D. 463-472 - Keisuke Kawano, Satoshi Koide, Takuro Kutsuna
Learning Wasserstein Isometric Embedding for Point Clouds. 473-482 - Noé Pion, Martin Humenberger, Gabriela Csurka, Yohann Cabon, Torsten Sattler:
Benchmarking Image Retrieval for Visual Localization. 483-494 - Xing Wei, Shaofan Liu, Changguang Wang, Yaoci Xiang, Xuanyuan Qiao, Zhangling Duan, Chong Zhao, Yang Lu:
Class-unbalanced domain adaptation for object detection via dynamic weighting mechanism. 495-503 - Hugues Thomas:
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments. 504-513 - Yifan Wang, Linjie Luo, Xiaohui Shen, Xing Mei:
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues. 514-523 - Brandon Yushan Feng, Wangjue Yao, Zheyuan Liu, Amitabh Varshney
Deep Depth Estimation on 360° Images with a Double Quaternion Loss. 524-533 - Javier Hidalgo-Carrió, Daniel Gehrig
Learning Monocular Dense Depth from Events. 534-542 - Yue Zhong, Yulia Gryaditskaya
Deep Sketch-Based Modeling: Tips and Tricks. 543-552 - Dong Du
VIPNet: A Fast and Accurate Single-View Volumetric Reconstruction by Learning Sparse Implicit Point Guidance. 553-562 - Felix Järemo Lawin, Per-Erik Forssén:
Registration Loss Learning for Deep Probabilistic Point Set Registration. 563-572 - Mehmet Aygün, Zorah Lähner
Unsupervised Dense Shape Correspondence using Heat Kernels. 573-582 - Marcel Seelbach Benkner, Vladislav Golyanik, Christian Theobalt
Adiabatic Quantum Graph Matching with Permutation Matrix Constraints. 583-592 - Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua:
Better Patch Stitching for Parametric Surface Reconstruction. 593-602 - Tejas Zodage, Rahul Chakwate, Vinit Sarode, Rangaprasad Arun Srivatsan, Howie Choset:
Correspondence Matrices are Underrated. 603-612 - Xianghao Xu, David Charatan, Sonia Raychaudhuri
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections. 613-622 - Andrea D'Eusanio, Alessandro Simoni
A Transformer-Based Network for Dynamic Hand Gesture Recognition. 623-632 - Basavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann:
Depthwise Separable Temporal Convolutional Network for Action Segmentation. 633-641 - Siwei Zhang, Yan Zhang, Qianli Ma, Michael J. Black, Siyu Tang
PLACE: Proximity Learning of Articulation and Contact in 3D Environments. 642-651 - Benjamin Graham, David Novotný:
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty. 652-662 - Kyle Wilson, Scott Wehrwein:
Visualizing Spectral Bundle Adjustment Uncertainty. 663-671 - Sotiris Nousias, Manolis I. A. Lourakis, Pearse A. Keane
A Linear Approach to Absolute Pose Estimation for Light Fields. 672-681 - Shihao Jiang, Dylan Campbell
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level optimization. 682-691 - Vladislav Golyanik, André Jonas, Didier Stricker, Christian Theobalt
Intrinsic Dynamic Shape Prior for Dense Non-Rigid Structure from Motion. 692-701 - Nitin Agarwal, M. Gopi:
GAMesh: Guided and Augmented Meshing for Deep Point Networks. 702-711 - Mohammad Samiul Arshad
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds. 712-722 - Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Depth Completion Using a View-constrained Deep Prior. 723-733 - Linfei Pan, Lubor Ladicky, Marc Pollefeys
Compression and Completion of Animated Point Clouds using Topological Properties of the Manifold. 734-742 - Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov:
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors. 743-752 - Xia Chen, Jianren Wang, David Held, Martial Hebert:
PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud Detection. 753-761 - Xu Liu, Jiayan Cao, Qianqian Bi, Jian Wang, Boxin Shi, Yichen Wei:
Dense Point Diffusion for 3D Object Detection. 762-770 - Cristiano Saltori
SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection. 771-780 - Fabian Duerr, Mario Pfaller, Hendrik Weigel, Jürgen Beyerer:
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment. 781-790 - Teppei Suzuki, Keisuke Ozawa
Rethinking PointNet Embedding for Faster and Compact Model. 791-800 - Shun-Cheng Wu
SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion. 801-810 - Tomislav Pribanic, Tomislav Petkovic, David Bojanic
Smart Time-Multiplexing of Quads Solves the Multicamera Interference Problem. 811-819 - Zhuo Chen, Peilin Liu, Fei Wen, Jun Wang
Restoration of Motion Blur in Time-of-Flight Depth Image Using Data Alignment. 820-828 - David Deng, Avideh Zakhor
Temporal LiDAR Frame Prediction for Autonomous Driving. 829-837 - Anders Sunegård, Lennart Svensson, Torsten Sattler:
Deep LiDAR localization using optical flow sensor-map correspondences. 838-847 - Zihui Zhang, Cuican Yu, Huibin Li, Jian Sun, Feng Liu:
Learning Distribution Independent Latent Representation for 3D Face Disentanglement. 848-857 - Ruizhe Wang, Chih-Fan Chen, Hao Peng, Xudong Liu, Xin Li:
Learning 3D Faces from Photo-Realistic Facial Synthesis. 858-867 - Partha Ghosh, Pravir Singh Gupta
GIF: Generative Interpretable Faces. 868-878 - Sai Sagar Jinka, Rohan Chacko, Avinash Sharma, P. J. Narayanan:
PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction. 879-888 - Amir Livne, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, Ron Kimmel:
Do We Need Depth in State-Of-The-Art Face Authentication? 889-897 - Nikolas Klug, Moritz Einfalt, Stephan Brehm, Rainer Lienhart
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation. 898-907 - Felix Taubner, Florian Tschopp, Tonci Novkovic, Roland Siegwart, Fadri Furrer:
LCD - Line Clustering and Description for Place Recognition. 908-917 - Manuel Kaufmann
Convolutional Autoencoders for Human Motion Infilling. 918-927 - Vladimir Golkov, Marcin J. Skwark
3D Deep Learning for Biological Function Prediction from Physical Fields. 928-937 - Erik Stenborg, Torsten Sattler, Lars Hammarstrand:
Using Image Sequences for Long-Term Visual Localization. 938-948 - Edgar Sucar, Kentaro Wada, Andrew J. Davison:
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction. 949-958 - Shuai Xie, Wei Ma, Qiuyuan Wang, Ruchang Xu, Hongbin Zha:
FC-vSLAM: Integrating Feature Credibility in Visual SLAM. 959-967 - Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization. 968-977 - David Hug, Margarita Chli
HyperSLAM: A Generic and Modular Approach to Sensor Fusion and Simultaneous Localization And Mapping in Continuous-Time. 978-986 - Jin Fang, Dingfu Zhou, Xibin Song, Shengze Jin, Ruigang Yang, Liangjun Zhang:
RotPredictor: Unsupervised Canonical Viewpoint Learning for Point Cloud Classification. 987-996 - Sandro Lombardi, Martin R. Oswald, Marc Pollefeys
Scalable Point Cloud-based Reconstruction with Local Implicit Functions. 997-1007 - Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso:
Efficient Scene Compression for Visual-based Localization. 1008-1017 - Omid Poursaeed, Tianxing Jiang, Han Qiao, Nayun Xu, Vladimir G. Kim:
Self-Supervised Learning of Point Clouds via Orientation Estimation. 1018-1028 - Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, Nicolas Zevallos, Simon Lucey
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points. 1029-1038 - Berk Kaya, Radu Timofte
Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations. 1039-1048 - Victor Zuanazzi, Joris van Vugt, Olaf Booij, Pascal Mettes:
Adversarial Self-Supervised Scene Flow Estimation. 1049-1058 - Gil Avraham, Yan Zuo, Tom Drummond:
Localising In Complex Scenes Using Balanced Adversarial Adaptation. 1059-1069 - Stefan Stevsic, Otmar Hilliges:
Spatial Attention Improves Iterative 6D Object Pose Estimation. 1070-1078 - Alican Mertan, Yusuf Huseyin Sahin
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation. 1079-1088 - Ali Uzpak, Abdelaziz Djelouah, Simone Schaub-Meyer:
Style Transfer for Keypoint Matching Under Adverse Conditions. 1089-1097 - Hai Li, Weicai Ye, Guofeng Zhang, Sanyuan Zhang, Hujun Bao:
Saliency Guided Subdivision for Single-View Mesh Reconstruction. 1098-1107 - Nicolas Hurtubise, Sébastien Roy:
Fast Discontinuity-Aware Subpixel Correspondence in Structured Light. 1108-1116 - Victor Fragoso, Sudipta N. Sinha:
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints. 1117-1126 - François Darmon, Mathieu Aubry, Pascal Monasse:
Learning to Guide Local Feature Matches. 1127-1136 - Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang:
Towards Geometry Guided Neural Relighting with Flash Photography. 1137-1146 - Daniel Thul, Vagia Tsiminaki, Lubor Ladicky, Marc Pollefeys
Precomputed Radiance Transfer for Reflectance and Lighting Estimation. 1147-1156 - Louis-Philippe Asselin, Denis Laurendeau, Jean-François Lalonde:
Deep SVBRDF Estimation on Real Materials. 1157-1166 - Maria Kolos, Artem Sevastopolsky, Victor Lempitsky:
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer. 1167-1175 - Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother:
Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. 1176-1185 - Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin
Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing. 1186-1195 - Hao Tan, Jiayong Peng, Zhiwei Xiong, Dong Liu
Deep Learning Based Single-Photon 3D Imaging with Multiple Returns. 1196-1205 - Matthew Bailey, Jean-Yves Guillemaut
A Novel Depth from Defocus Framework Based on a Thick Lens Camera Model. 1206-1215 - Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal:
Towards a MEMS-based Adaptive LIDAR. 1216-1226
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