Computer Vision

FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data WACV 2020 Fusing Semantics and Motion State Detection for Robust Visual SLAM WACV 2020 Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification MIDL 2020 Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach CVPR 2020 Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation CVPR 2020 FusionDN: A Unified Densely Connected Network for Image Fusion AAAI 2020 Future Video Synthesis With Object Motion Prediction CVPR 2020 G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features CVPR 2020 G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation IJCAI 2020 G3AN: Disentangling Appearance and Motion for Video Generation CVPR 2020 GaitPart: Temporal Part-Based Model for Gait Recognition CVPR 2020 Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features CVPR 2020 GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering AAAI 2020 GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes CVPR 2020 GAR: Graph Assisted Reasoning for Object Detection WACV 2020 Gated Channel Transformation for Visual Recognition CVPR 2020 Gated Convolutional Networks with Hybrid Connectivity for Image Classification AAAI 2020 Gated Fully Fusion for Semantic Segmentation AAAI 2020 Gate-Shift Networks for Video Action Recognition CVPR 2020 Gaze Estimation for Assisted Living Environments WACV 2020 GDFace: Gated Deformation for Multi-View Face Image Synthesis AAAI 2020 gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors CVPR 2020 GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection CoRL 2020 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection NeurIPS 2020 Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020