Computer Vision

Learning Spatial Awareness to Improve Crowd Counting ICCV 2019 Learning Spatial Common Sense With Geometry-Aware Recurrent Networks CVPR 2019 Learning Spatio-Temporal Representation With Local and Global Diffusion CVPR 2019 Learning Structure-And-Motion-Aware Rolling Shutter Correction CVPR 2019 Learning Temporal Action Proposals With Fewer Labels ICCV 2019 Learning Temporal Pose Estimation from Sparsely-Labeled Videos NeurIPS 2019 Learning the Depths of Moving People by Watching Frozen People CVPR 2019 Learning to Adapt for Stereo CVPR 2019 Learning to Assemble Neural Module Tree Networks for Visual Grounding ICCV 2019 Learning to Caption Images Through a Lifetime by Asking Questions ICCV 2019 Learning to Cluster Faces on an Affinity Graph CVPR 2019 Learning to Collocate Neural Modules for Image Captioning ICCV 2019 Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019 Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning AAAI 2019 Learning to Describe Scenes with Programs ICLR 2019 Learning to Detect Human-Object Interactions With Knowledge CVPR 2019 Learning to Draw Text in Natural Images with Conditional Adversarial Networks IJCAI 2019 Learning to Explain With Complemental Examples CVPR 2019 Learning to Explore Intrinsic Saliency for Stereoscopic Video CVPR 2019 Learning to Extract Flawless Slow Motion From Blurry Videos CVPR 2019 Learning to Film From Professional Human Motion Videos CVPR 2019 Learning to Find Common Objects Across Few Image Collections ICCV 2019 Learning to Generalize Kinematic Models to Novel Objects CoRL 2019 Learning to Generate Synthetic Data via Compositing CVPR 2019