Journals starting with 3dv2

3DV20 * *3D Imaging, Modeling, Processing, Visualization and Transmission
* 3D Deep Learning for Biological Function Prediction from Physical Fields
* 3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation
* Adiabatic Quantum Graph Matching with Permutation Matrix Constraints
* Adversarial Self-Supervised Scene Flow Estimation
* Benchmarking Image Retrieval for Visual Localization
* Better Patch Stitching for Parametric Surface Reconstruction
* BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
* Class-unbalanced domain adaptation for object detection via dynamic weighting mechanism
* COALESCE: Component Assembly by Learning to Synthesize Connections
* Compression and Completion of Animated Point Clouds using Topological Properties of the Manifold
* Convolutional Autoencoders for Human Motion Infilling
* Correspondence Matrices are Underrated
* Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
* Deep Depth Estimation on 360 Images with a Double Quaternion Loss
* Deep Learning Based Single-Photon 3D Imaging with Multiple Returns
* Deep LiDAR localization using optical flow sensor-map correspondences
* Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild
* Deep Sketch-Based Modeling: Tips and Tricks
* Deep SVBRDF Estimation on Real Materials
* DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
* Dense Point Diffusion for 3D Object Detection
* Depth Completion Using a View-constrained Deep Prior
* Depthwise Separable Temporal Convolutional Network for Action Segmentation
* Differential Photometric Consistency
* Distributed Photometric Bundle Adjustment
* Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views, A
* Do End-to-end Stereo Algorithms Under-utilize Information?
* Do We Need Depth in State-Of-The-Art Face Authentication?
* DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues
* Efficient Scene Compression for Visual-based Localization
* Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation
* Fast Discontinuity-Aware Subpixel Correspondence in Structured Light
* Fast Simultaneous Gravitational Alignment of Multiple Point Sets
* FC-vSLAM: Integrating Feature Credibility in Visual SLAM
* GAMesh: Guided and Augmented Meshing for Deep Point Networks
* Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints
* GIF: Generative Interpretable Faces
* Global Context Aware Convolutions for 3D Point Cloud Understanding
* Graphite: Graph-Induced Feature Extraction for Point Cloud Registration
* Grasping Field: Learning Implicit Representations for Human Grasps
* High-Dynamic-Range Lighting Estimation From Face Portraits
* HyperSLAM: A Generic and Modular Approach to Sensor Fusion and Simultaneous Localization And Mapping in Continuous-Time
* Improved Modeling of 3D Shapes with Multi-view Depth Maps
* Improving Structure from Motion with Reliable Resectioning
* Instant recovery of shape from spectrum via latent space connections
* Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition
* Intrinsic Dynamic Shape Prior for Dense Non-Rigid Structure from Motion
* Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images
* Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level optimization
* KAPLAN: A 3D Point Descriptor for Shape Completion
* KeystoneDepth: History in 3D
* LCD: Line Clustering and Description for Place Recognition
* Learning 3D Faces from Photo-Realistic Facial Synthesis
* Learning Distribution Independent Latent Representation for 3D Face Disentanglement
* Learning Implicit Surface Light Fields
* Learning Monocular Dense Depth from Events
* Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
* Learning to Guide Local Feature Matches
* Learning to Infer Semantic Parameters for 3D Shape Editing
* Learning Wasserstein Isometric Embedding for Point Clouds
* LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
* Linear Approach to Absolute Pose Estimation for Light Fields, A
* LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
* LMSCNet: Lightweight Multiscale 3D Semantic Completion
* Localising In Complex Scenes Using Balanced Adversarial Adaptation
* MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
* Matching-space Stereo Networks for Cross-domain Generalization
* MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video
* Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections
* Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
* New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation, A
* Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative Regions
* NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction
* Novel Depth from Defocus Framework Based on a Thick Lens Camera Model, A
* PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud Detection
* PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction
* PLACE: Proximity Learning of Articulation and Contact in 3D Environments
* PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation
* Precomputed Radiance Transfer for Reflectance and Lighting Estimation
* Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds, A
* RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
* Recalibration of Neural Networks for Point Cloud Analysis
* Reducing Drift in Structure From Motion Using Extended Features
* Refractive Multi-view Stereo
* Registration Loss Learning for Deep Probabilistic Point Set Registration
* Restoration of Motion Blur in Time-of-Flight Depth Image Using Data Alignment
* Rethinking PointNet Embedding for Faster and Compact Model
* RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty
* RocNet: Recursive Octree Network for Efficient 3D Deep Representation
* Rotation-Invariant Point Convolution With Multiple Equivariant Alignments.
* RotPredictor: Unsupervised Canonical Viewpoint Learning for Point Cloud Classification
* Saliency Guided Subdivision for Single-View Mesh Reconstruction
* Scalable Point Cloud-based Reconstruction with Local Implicit Functions
* Scene Flow from Point Clouds with or without Learning
* SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion
* Screen-space Regularization on Differentiable Rasterization
* Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations
* Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors
* Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion
* Self-Supervised Learning of Point Clouds via Orientation Estimation
* Semantic Deep Face Models
* Semantic Implicit Neural Scene Representations With Semi-Supervised Training
* SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
* Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing
* Simulated Annealing for 3D Shape Correspondence
* Smart Time-Multiplexing of Quads Solves the Multicamera Interference Problem
* SMPLy Benchmarking 3D Human Pose Estimation in the Wild
* Spatial Attention Improves Iterative 6D Object Pose Estimation
* Style Transfer for Keypoint Matching Under Adverse Conditions
* Temporal LiDAR Frame Prediction for Autonomous Driving
* Time Shifted IMU Preintegration for Temporal Calibration in Incremental Visual-Inertial Initialization
* Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds
* Towards 3D VR-Sketch to 3D Shape Retrieval
* Towards a MEMS-based Adaptive LIDAR
* Towards Geometry Guided Neural Relighting with Flash Photography
* Transformer-Based Network for Dynamic Hand Gesture Recognition, A
* TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer
* Two-Stage Relation Constraint for Semantic Segmentation of Point Clouds
* Underwater Scene Recovery Using Wavelength-Dependent Refraction of Light
* Unsupervised Dense Shape Correspondence using Heat Kernels
* Using Image Sequences for Long-Term Visual Localization
* VIPNet: A Fast and Accurate Single-View Volumetric Reconstruction by Learning Sparse Implicit Point Guidance
* Visualizing Spectral Bundle Adjustment Uncertainty
124 for 3DV20

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