Computer Vision

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract) AAAI 2021 Learning To Estimate Hidden Motions With Global Motion Aggregation ICCV 2021 Learning To Filter: Siamese Relation Network for Robust Tracking CVPR 2021 Learning To Fuse Asymmetric Feature Maps in Siamese Trackers CVPR 2021 Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification CVPR 2021 Learning to Generate 3D Shapes with Generative Cellular Automata ICLR 2021 Learning to Generate Dense Point Clouds With Textures on Multiple Categories WACV 2021 Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training NeurIPS 2021 Learning to Ground Visual Objects for Visual Dialog EMNLP 2021 Learning To Identify Correct 2D-2D Line Correspondences on Sphere CVPR 2021 Learning to Jump from Pixels CoRL 2021 Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification ICCV 2021 Learning To Match Features With Seeded Graph Matching Network ICCV 2021 Learning To Predict Visual Attributes in the Wild CVPR 2021 Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild CVPR 2021 Learning To Reconstruct High Speed and High Dynamic Range Videos From Events CVPR 2021 Learning To Recover 3D Scene Shape From a Single Image CVPR 2021 Learning To Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data ICCV 2021 Learning to Regrasp by Learning to Place CoRL 2021 Learning To Regress Bodies From Images Using Differentiable Semantic Rendering ICCV 2021 Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation CVPR 2021 Learning To Remove Refractive Distortions From Underwater Images ICCV 2021 Learning To Resize Images for Computer Vision Tasks ICCV 2021 Learning To Restore Hazy Video: A New Real-World Dataset and a New Method CVPR 2021 Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment CVPR 2021