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3D Vision

7218 directly classified papers

Papers per year

Papers

Joint Graph-Based Depth Refinement and Normal Estimation CVPR 2020
AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild" CVPR 2020
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching AAAI 2020
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection AAAI 2020
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation AAAI 2020
3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training AAAI 2020
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation AAAI 2020
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching AAAI 2020
Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion AAAI 2020
Neural Sparse Voxel Fields NIPS 2020
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching CVPR 2020
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models NIPS 2020
Hierarchical Neural Architecture Search for Deep Stereo Matching NIPS 2020
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor NIPS 2020
Weakly Supervised Deep Functional Maps for Shape Matching NIPS 2020
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers NIPS 2020
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment NIPS 2020
Online Adaptation for Consistent Mesh Reconstruction in the Wild NIPS 2020
GPS-Net: Graph-based Photometric Stereo Network NIPS 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs NIPS 2020
Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints IJCAI 2020
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification IJCAI 2020
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency NIPS 2020
Learning 3D Dynamic Scene Representations for Robot Manipulation CORL 2020
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection CORL 2020