Computer Vision

SSAN: Separable Self-Attention Network for Video Representation Learning CVPR 2021 SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation WACV 2021 SSH: A Self-Supervised Framework for Image Harmonization ICCV 2021 SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama CVPR 2021 SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification AAAI 2021 SSN: Soft Shadow Network for Image Compositing CVPR 2021 SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network AAAI 2021 SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation CVPR 2021 SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning NeurIPS 2021 ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection CVPR 2021 StablePose: Learning 6D Object Poses From Geometrically Stable Patches CVPR 2021 Stable View Synthesis CVPR 2021 Stacked Homography Transformations for Multi-View Pedestrian Detection ICCV 2021 Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation ICCV 2021 STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement ICCV 2021 StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement ICCV 2021 StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021 STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering CVPR 2021 Static-Dynamic Interaction Networks for Offline Signature Verification AAAI 2021 Staying in shape: learning invariant shape representations using contrastive learning UAI 2021 Stay Positive: Non-Negative Image Synthesis for Augmented Reality CVPR 2021 StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis CVPR 2021 Step-Wise Hierarchical Alignment Network for Image-Text Matching IJCAI 2021 StereOBJ-1M: Large-Scale Stereo Image Dataset for 6D Object Pose Estimation ICCV 2021 Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations AAAI 2021