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3D Computer Vision
Weakly-supervised Reconstruction of 3D Objects with Large Shape Variation from Single In-the-Wild Images
HPGCNN: Hierarchical Parallel Group Convolutional Neural Networks for Point Clouds Processing
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings
Reconstructing Creative Lego Models, George Tattersall
Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People
Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation
SGNet: Semantics Guided Deep Stereo Matching
Reconstructing Human Body Mesh from Point Clouds by Adversarial GP Network
SDP-Net: Scene Flow Based Real-time Object Detection and Prediction from Sequential 3D Point Clouds
SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion
Faster Self-adaptive Deep Stereo
AFN: Attentional Feedback Network based 3D Terrain Super-Resolution
^Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
Anatomy and Geometry Constrained One-Stage Framework for 3D Human Pose Estimation
DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media
Homography-based Egomotion Estimation Using Gravity and SIFT Features
Mapping of Sparse 3D Data using Alternating Projection
Best Buddies Registration for Point Clouds
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
^IAFA: Instance-Aware Feature Aggregation for 3D Object Detection from a Single Image
Attended-Auxiliary Supervision Representation for Face Anti-spoofing
3D Object Detection from Consecutive Monocular Images
Data-Efficient Ranking Distillation for Image Retrieval
Quantum Robust Fitting
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning
Segmentation and Grouping
RGB-D Co-attention Network for Semantic Segmentation
Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation
Dense Dual-Path Network for Real-time Semantic Segmentation
Learning More Accurate Features for Semantic Segmentation in CycleNet
3D Guided Weakly Supervised Semantic Segmentation
Real-Time Segmentation Networks should be Latency Aware
Mask-Ranking Network for Semi-Supervised Video Object Segmentation
SDCNet: Size Divide and Conquer Network for Salient Object Detection
^Bidirectional Pyramid Networks for Semantic Segmentation
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion
Local Context Attention for Salient Object Segmentation
Generic Image Segmentation in Fully Convolutional Networks by Superpixel Merging Map.
Weakly-supervised Reconstruction of 3D Objects with Large Shape Variation from Single In-the-Wild Images
HPGCNN: Hierarchical Parallel Group Convolutional Neural Networks for Point Clouds Processing
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings
Reconstructing Creative Lego Models, George Tattersall
Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People
Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation
SGNet: Semantics Guided Deep Stereo Matching
Reconstructing Human Body Mesh from Point Clouds by Adversarial GP Network
SDP-Net: Scene Flow Based Real-time Object Detection and Prediction from Sequential 3D Point Clouds
SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion
Faster Self-adaptive Deep Stereo
AFN: Attentional Feedback Network based 3D Terrain Super-Resolution
^Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
Anatomy and Geometry Constrained One-Stage Framework for 3D Human Pose Estimation
DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media
Homography-based Egomotion Estimation Using Gravity and SIFT Features
Mapping of Sparse 3D Data using Alternating Projection
Best Buddies Registration for Point Clouds
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
^IAFA: Instance-Aware Feature Aggregation for 3D Object Detection from a Single Image
Attended-Auxiliary Supervision Representation for Face Anti-spoofing
3D Object Detection from Consecutive Monocular Images
Data-Efficient Ranking Distillation for Image Retrieval
Quantum Robust Fitting
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning
Segmentation and Grouping
RGB-D Co-attention Network for Semantic Segmentation
Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation
Dense Dual-Path Network for Real-time Semantic Segmentation
Learning More Accurate Features for Semantic Segmentation in CycleNet
3D Guided Weakly Supervised Semantic Segmentation
Real-Time Segmentation Networks should be Latency Aware
Mask-Ranking Network for Semi-Supervised Video Object Segmentation
SDCNet: Size Divide and Conquer Network for Salient Object Detection
^Bidirectional Pyramid Networks for Semantic Segmentation
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion
Local Context Attention for Salient Object Segmentation
Generic Image Segmentation in Fully Convolutional Networks by Superpixel Merging Map.