Abstract is missing.
- Message from the 3DV 2020 Program ChairsAdrian Hilton, Zuzana Kukelova, Stephen Lin, Jun Sato. [doi]
- Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionIgor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon. 1-11 [doi]
- Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the WildChaoyang Wang, Chen-Hsuan Lin, Simon Lucey. 12-22 [doi]
- Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative RegionsAashish Sharma, Loong Fah Cheong, Lionel Heng, Robby T. Tan. 23-31 [doi]
- Underwater Scene Recovery Using Wavelength-Dependent Refraction of LightShin Ishihara, Yuta Asano, Yinqiang Zheng, Imari Sato. 32-40 [doi]
- Improving Structure from Motion with Reliable ResectioningRajbir Kataria, Joseph DeGol, Derek Hoiem. 41-50 [doi]
- Reducing Drift in Structure From Motion Using Extended FeaturesAleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski. 51-60 [doi]
- COALESCE: Component Assembly by Learning to Synthesize ConnectionsKangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang. 61-70 [doi]
- Improved Modeling of 3D Shapes with Multi-view Depth MapsKamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker. 71-80 [doi]
- Towards 3D VR-Sketch to 3D Shape RetrievalLing Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song. 81-90 [doi]
- Fast Simultaneous Gravitational Alignment of Multiple Point SetsVladislav Golyanik, Soshi Shimada, Christian Theobalt. 91-100 [doi]
- KAPLAN: A 3D Point Descriptor for Shape CompletionAudrey Richard, Ian Cherabier, Martin R. Oswald, Marc Pollefeys, Konrad Schindler. 101-110 [doi]
- LMSCNet: Lightweight Multiscale 3D Semantic CompletionLuis Roldão, Raoul de Charette, Anne Verroust-Blondet. 111-119 [doi]
- Instant recovery of shape from spectrum via latent space connectionsRiccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi. 120-129 [doi]
- Differential Photometric ConsistencyHongyi Fan, Benjamin Kunsberg, Benjamin B. Kimia. 130-139 [doi]
- Distributed Photometric Bundle AdjustmentNikolaus Demmel, Maolin Gao, Emanuel Laude, Tao Wu 0006, Daniel Cremers. 140-149 [doi]
- Self-Supervised Learning of Non-Rigid Residual Flow and Ego-MotionIvan Tishchenko, Sandro Lombardi, Martin R. Oswald, Marc Pollefeys. 150-159 [doi]
- A Divide et Impera Approach for 3D Shape Reconstruction from Multiple ViewsRiccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari. 160-170 [doi]
- Time Shifted IMU Preintegration for Temporal Calibration in Incremental Visual-Inertial InitializationBruno Petit, Richard Guillemard, Vincent Gay-Bellile. 171-179 [doi]
- RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNsZhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley. 180-189 [doi]
- Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point CloudsThomas Chaton, Nicolas Chaulet, Sofiane Horache, Loïc Landrieu. 190-199 [doi]
- Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural NetworksJunming Zhang, Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson. 200-209 [doi]
- Global Context Aware Convolutions for 3D Point Cloud UnderstandingZhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai Kit Yeung. 210-219 [doi]
- Screen-space Regularization on Differentiable RasterizationKunyao Chen, Cheolhong An, Truong Q. Nguyen. 220-229 [doi]
- Cycle-Consistent Generative Rendering for 2D-3D Modality TranslationTristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson. 230-240 [doi]
- Graphite: Graph-Induced Feature Extraction for Point Cloud RegistrationMahdi Saleh, Shervin Dehghani, Benjamin Busam, Nassir Navab, Federico Tombari. 241-251 [doi]
- Simulated Annealing for 3D Shape CorrespondenceBenjamin Holzschuh, Zorah Lähner, Daniel Cremers. 252-260 [doi]
- Scene Flow from Point Clouds with or without LearningJhony Kaesemodel Pontes, James Hays, Simon Lucey. 261-270 [doi]
- Two-Stage Relation Constraint for Semantic Segmentation of Point CloudsMinghui Yu, Jinxian Liu, Bingbing Ni, Caiyuan Li. 271-280 [doi]
- 3D-Aware Ellipse Prediction for Object-Based Camera Pose EstimationMatthieu Zins, Gilles Simon, Marie-Odile Berger. 281-290 [doi]
- Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color ImagesJuil Sock, Guillermo Garcia-Hernando, Anil Armagan, Tae-Kyun Kim. 291-300 [doi]
- SMPLy Benchmarking 3D Human Pose Estimation in the WildVincent Leroy 0003, Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Grégory Rogez. 301-310 [doi]
- PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge DistillationShashank Tripathi, Siddhant Ranade, Ambrish Tyagi, Amit K. Agrawal. 311-321 [doi]
- MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB VideoDonglai Xiang, Fabian Prada, Chenglei Wu, Jessica K. Hodgins. 322-332 [doi]
- Grasping Field: Learning Implicit Representations for Human GraspsKorrawe Karunratanakul, Jinlong Yang, Yan Zhang, Michael J. Black, Krikamol Muandet, Siyu Tang. 333-344 [doi]
- Semantic Deep Face ModelsPrashanth Chandran, Derek Bradley, Markus H. Gross, Thabo Beeler. 345-354 [doi]
- High-Dynamic-Range Lighting Estimation From Face PortraitsAlejandro Sztrajman, Alexandros Neophytou, Tim Weyrich, Eric Sommerlade. 355-363 [doi]
- Matching-space Stereo Networks for Cross-domain GeneralizationChangjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai. 364-373 [doi]
- Do End-to-end Stereo Algorithms Under-utilize Information?Changjiang Cai, Philippos Mordohai. 374-383 [doi]
- Refractive Multi-view StereoMatthew Cassidy, Jean Mélou, Yvain Quéau, François Lauze, Jean-Denis Durou. 384-393 [doi]
- BP-MVSNet: Belief-Propagation-Layers for Multi-View-StereoChristian Sormann, Patrick Knöbelreiter, Andreas Kuhn 0005, Mattia Rossi, Thomas Pock, Friedrich Fraundorfer. 394-403 [doi]
- DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo ReconstructionAndreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer. 404-413 [doi]
- RocNet: Recursive Octree Network for Efficient 3D Deep RepresentationJuncheng Liu, Steven Mills, Brendan McCane. 414-422 [doi]
- Semantic Implicit Neural Scene Representations With Semi-Supervised TrainingAmit Pal Singh Kohli, Vincent Sitzmann, Gordon Wetzstein. 423-433 [doi]
- Learning to Infer Semantic Parameters for 3D Shape EditingFangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, Thomas A. Funkhouser. 434-442 [doi]
- Recalibration of Neural Networks for Point Cloud AnalysisIgnacio Sarasua, Sebastian Pölsterl, Christian Wachinger. 443-451 [doi]
- Learning Implicit Surface Light FieldsMichael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger 0001. 452-462 [doi]
- KeystoneDepth: History in 3DXuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz. 463-472 [doi]
- Learning Wasserstein Isometric Embedding for Point CloudsKeisuke Kawano, Satoshi Koide, Takuro Kutsuna. 473-482 [doi]
- Benchmarking Image Retrieval for Visual LocalizationNoé Pion, Martin Humenberger, Gabriela Csurka, Yohann Cabon, Torsten Sattler. 483-494 [doi]
- Class-unbalanced domain adaptation for object detection via dynamic weighting mechanismXing Wei, Shaofan Liu, Changguang Wang, Yaoci Xiang, Xuanyuan Qiao, Zhangling Duan, Chong Zhao, Yang Lu. 495-503 [doi]
- Rotation-Invariant Point Convolution With Multiple Equivariant AlignmentsHugues Thomas. 504-513 [doi]
- DynOcc: Learning Single-View Depth from Dynamic Occlusion CuesYifan Wang, Linjie Luo, Xiaohui Shen, Xing Mei. 514-523 [doi]
- Deep Depth Estimation on 360° Images with a Double Quaternion LossBrandon Yushan Feng, Wangjue Yao, Zheyuan Liu, Amitabh Varshney. 524-533 [doi]
- Learning Monocular Dense Depth from EventsJavier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza 0001. 534-542 [doi]
- Deep Sketch-Based Modeling: Tips and TricksYue Zhong, Yulia Gryaditskaya, Honggang Zhang 0002, Yi-Zhe Song. 543-552 [doi]
- VIPNet: A Fast and Accurate Single-View Volumetric Reconstruction by Learning Sparse Implicit Point GuidanceDong Du, Zhiyi Zhang, Xiaoguang Han, Shuguang Cui, Ligang Liu. 553-562 [doi]
- Registration Loss Learning for Deep Probabilistic Point Set RegistrationFelix Järemo Lawin, Per-Erik Forssén. 563-572 [doi]
- Unsupervised Dense Shape Correspondence using Heat KernelsMehmet Aygün, Zorah Lähner, Daniel Cremers. 573-582 [doi]
- Adiabatic Quantum Graph Matching with Permutation Matrix ConstraintsMarcel Seelbach Benkner, Vladislav Golyanik, Christian Theobalt, Michael Moeller 0001. 583-592 [doi]
- Better Patch Stitching for Parametric Surface ReconstructionZhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua. 593-602 [doi]
- Correspondence Matrices are UnderratedTejas Zodage, Rahul Chakwate, Vinit Sarode, Rangaprasad Arun Srivatsan, Howie Choset. 603-612 [doi]
- Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape CollectionsXianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie. 613-622 [doi]
- A Transformer-Based Network for Dynamic Hand Gesture RecognitionAndrea D'Eusanio, Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara. 623-632 [doi]
- Depthwise Separable Temporal Convolutional Network for Action SegmentationBasavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann. 633-641 [doi]
- PLACE: Proximity Learning of Articulation and Contact in 3D EnvironmentsSiwei Zhang, Yan Zhang, Qianli Ma, Michael J. Black, Siyu Tang. 642-651 [doi]
- RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth UncertaintyBenjamin Graham, David Novotný. 652-662 [doi]
- Visualizing Spectral Bundle Adjustment UncertaintyKyle Wilson, Scott Wehrwein. 663-671 [doi]
- A Linear Approach to Absolute Pose Estimation for Light FieldsSotiris Nousias, Manolis I. A. Lourakis, Pearse Keane, Sébastien Ourselin, Christos Bergeles. 672-681 [doi]
- Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level optimizationShihao Jiang, Dylan Campbell, Miaomiao Liu, Stephen Gould, Richard Hartley. 682-691 [doi]
- Intrinsic Dynamic Shape Prior for Dense Non-Rigid Structure from MotionVladislav Golyanik, André Jonas, Didier Stricker, Christian Theobalt. 692-701 [doi]
- GAMesh: Guided and Augmented Meshing for Deep Point NetworksNitin Agarwal, M. Gopi. 702-711 [doi]
- A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point CloudsMohammad Samiul Arshad, William J. Beksi. 712-722 [doi]
- Depth Completion Using a View-constrained Deep PriorPallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi. 723-733 [doi]
- Compression and Completion of Animated Point Clouds using Topological Properties of the ManifoldLinfei Pan, Lubor Ladicky, Marc Pollefeys. 734-742 [doi]
- Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensorsAkhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov. 743-752 [doi]
- PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud DetectionXia Chen, Jianren Wang, David Held, Martial Hebert. 753-761 [doi]
- Dense Point Diffusion for 3D Object DetectionXu Liu, Jiayan Cao, Qianqian Bi, Jian Wang, Boxin Shi, Yichen Wei. 762-770 [doi]
- 3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object DetectionCristiano Saltori, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci 0001, Fabio Galasso. 771-780 [doi]
- LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory AlignmentFabian Duerr, Mario Pfaller, Hendrik Weigel, Jürgen Beyerer. 781-790 [doi]
- Rethinking PointNet Embedding for Faster and Compact ModelTeppei Suzuki, Keisuke Ozawa, Yusuke Sekikawa. 791-800 [doi]
- SCFusion: Real-time Incremental Scene Reconstruction with Semantic CompletionShuncheng Wu, Keisuke Tateno, Nassir Navab, Federico Tombari. 801-810 [doi]
- Smart Time-Multiplexing of Quads Solves the Multicamera Interference ProblemTomislav Pribanic, Tomislav Petkovic, David Bojanic, Kristijan Bartol, Mohit Gupta. 811-819 [doi]
- Restoration of Motion Blur in Time-of-Flight Depth Image Using Data AlignmentZhuo Chen, Peilin Liu, Fei Wen, Jun Wang, Rendong Ying. 820-828 [doi]
- Temporal LiDAR Frame Prediction for Autonomous DrivingDavid Deng, Avideh Zakhor. 829-837 [doi]
- Deep LiDAR localization using optical flow sensor-map correspondencesAnders Sunegård, Lennart Svensson, Torsten Sattler. 838-847 [doi]
- Learning Distribution Independent Latent Representation for 3D Face DisentanglementZihui Zhang, Cuican Yu, Huibin Li, Jian Sun, Feng Liu. 848-857 [doi]
- Learning 3D Faces from Photo-Realistic Facial SynthesisRuizhe Wang, Chih-fan Chen, Hao Peng, Xudong Liu, Xin Li. 858-867 [doi]
- GIF: Generative Interpretable FacesPartha Ghosh, Pravir Singh Gupta, Roy Uziel, Anurag Ranjan, Michael J. Black, Timo Bolkart. 868-878 [doi]
- PeeledHuman: Robust Shape Representation for Textured 3D Human Body ReconstructionSai Sagar Jinka, Rohan Chacko, Avinash Sharma, P. J. Narayanan. 879-888 [doi]
- Do We Need Depth in State-Of-The-Art Face Authentication?Amir Livne, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, Ron Kimmel. 889-897 [doi]
- Error Bounds of Projection Models in Weakly Supervised 3D Human Pose EstimationNikolas Klug, Moritz Einfalt, Stephan Brehm, Rainer Lienhart. 898-907 [doi]
- LCD - Line Clustering and Description for Place RecognitionFelix Taubner, Florian Tschopp, Tonci Novkovic, Roland Siegwart, Fadri Furrer. 908-917 [doi]
- Convolutional Autoencoders for Human Motion InfillingManuel Kaufmann, Emre Aksan, Jie Song 0006, Fabrizio Pece, Remo Ziegler, Otmar Hilliges. 918-927 [doi]
- 3D Deep Learning for Biological Function Prediction from Physical FieldsVladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers. 928-937 [doi]
- Using Image Sequences for Long-Term Visual LocalizationErik Stenborg, Torsten Sattler, Lars Hammarstrand. 938-948 [doi]
- NodeSLAM: Neural Object Descriptors for Multi-View Shape ReconstructionEdgar Sucar, Kentaro Wada, Andrew Davison. 949-958 [doi]
- FC-vSLAM: Integrating Feature Credibility in Visual SLAMShuai Xie, Wei Ma, Qiuyuan Wang, Ruchang Xu, Hongbin Zha. 959-967 [doi]
- LM-Reloc: Levenberg-Marquardt Based Direct Visual RelocalizationLukas von Stumberg, Patrick Wenzel, Nan Yang 0007, Daniel Cremers. 968-977 [doi]
- HyperSLAM: A Generic and Modular Approach to Sensor Fusion and Simultaneous Localization And Mapping in Continuous-TimeDavid Hug, Margarita Chli. 978-986 [doi]
- RotPredictor: Unsupervised Canonical Viewpoint Learning for Point Cloud ClassificationJin Fang, Dingfu Zhou, Xibin Song, Shengze Jin, Ruigang Yang, Liangjun Zhang. 987-996 [doi]
- Scalable Point Cloud-based Reconstruction with Local Implicit FunctionsSandro Lombardi, Martin R. Oswald, Marc Pollefeys. 997-1007 [doi]
- Efficient Scene Compression for Visual-based LocalizationMarcela Mera-Trujillo, Benjamin Smith, Victor Fragoso. 1008-1017 [doi]
- Self-Supervised Learning of Point Clouds via Orientation EstimationOmid Poursaeed, Tianxing Jiang, Han Qiao, Nayun Xu, Vladimir G. Kim. 1018-1028 [doi]
- MaskNet: A Fully-Convolutional Network to Estimate Inlier PointsVinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, Nicolas Zevallos, Simon Lucey, Howie Choset. 1029-1038 [doi]
- Self-Supervised 2D Image to 3D Shape Translation with Disentangled RepresentationsBerk Kaya, Radu Timofte. 1039-1048 [doi]
- Adversarial Self-Supervised Scene Flow EstimationVictor Zuanazzi, Joris van Vugt, Olaf Booij, Pascal Mettes. 1049-1058 [doi]
- Localising In Complex Scenes Using Balanced Adversarial AdaptationGil Avraham, Yan Zuo, Tom Drummond. 1059-1069 [doi]
- Spatial Attention Improves Iterative 6D Object Pose EstimationStefan Stevsic, Otmar Hilliges. 1070-1078 [doi]
- A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth EstimationAlican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gözde B. Ünal. 1079-1088 [doi]
- Style Transfer for Keypoint Matching Under Adverse ConditionsAli Uzpak, Abdelaziz Djelouah, Simone Schaub-Meyer. 1089-1097 [doi]
- Saliency Guided Subdivision for Single-View Mesh ReconstructionHai Li, Weicai Ye, Guofeng Zhang 0001, Sanyuan Zhang, Hujun Bao. 1098-1107 [doi]
- Fast Discontinuity-Aware Subpixel Correspondence in Structured LightNicolas Hurtubise, Sébastien Roy. 1108-1116 [doi]
- Generalized Pose-and-Scale Estimation using 4-Point Congruence ConstraintsVictor Fragoso, Sudipta N. Sinha. 1117-1126 [doi]
- Learning to Guide Local Feature MatchesFrançois Darmon, Mathieu Aubry, Pascal Monasse. 1127-1136 [doi]
- Towards Geometry Guided Neural Relighting with Flash PhotographyDi Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang. 1137-1146 [doi]
- Precomputed Radiance Transfer for Reflectance and Lighting EstimationDaniel Thul, Vagia Tsiminaki, Lubor Ladicky, Marc Pollefeys. 1147-1156 [doi]
- Deep SVBRDF Estimation on Real MaterialsLouis-Philippe Asselin, Denis Laurendeau, Jean-François Lalonde. 1157-1166 [doi]
- TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point RendererMaria Kolos, Artem Sevastopolsky, Victor Lempitsky. 1167-1175 [doi]
- Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image DecompositionHassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger 0001, Carsten Rother. 1176-1185 [doi]
- Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path TracingPurvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie. 1186-1195 [doi]
- Deep Learning Based Single-Photon 3D Imaging with Multiple ReturnsHao Tan, Jiayong Peng, Zhiwei Xiong, Dong Liu, Xin Huang, Zheng-Ping Li, Yu Hong, Feihu Xu. 1196-1205 [doi]
- A Novel Depth from Defocus Framework Based on a Thick Lens Camera ModelMatthew Bailey, Jean-Yves Guillemaut. 1206-1215 [doi]
- Towards a MEMS-based Adaptive LIDARFrancesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal. 1216-1226 [doi]