Computer Vision

Learning Efficient Object Detection Models with Knowledge Distillation NeurIPS 2017 Learning From Synthetic Humans CVPR 2017 Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution CVPR 2017 Learning Motion Patterns in Videos CVPR 2017 Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks CVPR 2017 Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation IJCAI 2017 Learning multiple visual domains with residual adapters NeurIPS 2017 Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories CVPR 2017 Learning Object Interactions and Descriptions for Semantic Image Segmentation CVPR 2017 Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation CVPR 2017 Learning Shape Abstractions by Assembling Volumetric Primitives CVPR 2017 Learning Spatial Regularization With Image-Level Supervisions for Multi-Label Image Classification CVPR 2017 Learning Spherical Convolution for Fast Features from 360° Imagery NeurIPS 2017 Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding NeurIPS 2017 Learning the Multilinear Structure of Visual Data CVPR 2017 Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization CVPR 2017 Learning to Detect Salient Objects With Image-Level Supervision CVPR 2017 Learning to Discover Cross-Domain Relations with Generative Adversarial Networks ICML 2017 Learning to Extract Semantic Structure From Documents Using Multimodal Fully Convolutional Neural Networks CVPR 2017 Learning to Generate Long-term Future via Hierarchical Prediction ICML 2017 Learning to Hallucinate Face Images via Component Generation and Enhancement IJCAI 2017 Learning to Inpaint for Image Compression NeurIPS 2017 Learning to Learn From Noisy Web Videos CVPR 2017 Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps CVPR 2017 Learning to Rank Retargeted Images CVPR 2017