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Papers (including subtopics)

Learning to Localize Objects with Noisy Labeled Instances AAAI 2019 Learning to Minify Photometric Stereo CVPR 2019 Learning to Rank Proposals for Object Detection ICCV 2019 Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop ICCV 2019 Learning to Reconstruct People in Clothing From a Single RGB Camera CVPR 2019 Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification CVPR 2019 Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision CVPR 2019 Learning to Relate from Captions and Bounding Boxes ACL 2019 Learning to Sample CVPR 2019 Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision AAAI 2019 Learning Transformation Synchronization CVPR 2019 Learning Two-View Correspondences and Geometry Using Order-Aware Network ICCV 2019 Learning View Priors for Single-View 3D Reconstruction CVPR 2019 Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019 Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019 Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images MIDL 2019 Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting ICCV 2019 Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces CVPR 2019 Lending Orientation to Neural Networks for Cross-View Geo-Localization CVPR 2019 Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting CVPR 2019 Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection ICCV 2019 Leveraging Shape Completion for 3D Siamese Tracking CVPR 2019 Libra R-CNN: Towards Balanced Learning for Object Detection CVPR 2019 LiFF: Light Field Features in Scale and Depth CVPR 2019 Linkage Based Face Clustering via Graph Convolution Network CVPR 2019