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Computer Vision

40,842 papers (88 classified directly here)

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Papers (including subtopics)

Searching Central Difference Convolutional Networks for Face Anti-Spoofing CVPR 2020 Searching for Actions on the Hyperbole CVPR 2020 SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition CVPR 2020 Seeing the World in a Bag of Chips CVPR 2020 Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather CVPR 2020 Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization CVPR 2020 SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel CVPR 2020 Segmenting Medical MRI via Recurrent Decoding Cell AAAI 2020 Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image CVPR 2020 Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs NeurIPS 2020 Self-Attention ConvLSTM for Spatiotemporal Prediction AAAI 2020 Self-Attention Network for Skeleton-based Human Action Recognition WACV 2020 Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer WACV 2020 Self-Growing Spatial Graph Networks for Pedestrian Trajectory Prediction WACV 2020 Self-Guided Novel View Synthesis via Elastic Displacement Network WACV 2020 Self-Learning Transformations for Improving Gaze and Head Redirection NeurIPS 2020 Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence CVPR 2020 Self-Learning With Rectification Strategy for Human Parsing CVPR 2020 Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID NeurIPS 2020 Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020 Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis CVPR 2020 Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation CoRL 2020 Self-supervised Co-Training for Video Representation Learning NeurIPS 2020 Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation CVPR 2020 Self-Supervised Few-Shot Learning on Point Clouds NeurIPS 2020