Every Wednesday
- [shifan] Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [code]
- [tianxiaowei] Character Region Awareness for Text Detection
- [shifan] Learning to Synthesize Motion Blur
- [tianxiaowei] Shape Robust Text Detection with Progressive Scale Expansion Network [code]
- [liangdong] Unsupervised Part-Based Disentangling of Object Shape and Appearance
- [liangdong] SFNet: Learning Object-aware Semantic Correspondence
- [zoucong] Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition
- [zoucong] Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR2019 Oral)
- [zoucong] Kervolutional Neural Networks (CVPR2019 Oral)
- [tongxuezhi] Simplifying Graph Convolutional Networks,ICML 2019
- [tongxuezhi] Learning Discrete Structures for Graph Neural Networks,ICML 2019
- [lvfeixiao] Transformation Networks for Target-Oriented Sentiment Classifcation (ACL 2018)
- [qijunkun] Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations (ICML 2019)
- [qijunkun] The Contextual Loss for Image Transformation with Non-aligned Data (ECCV 2018)
- [shifan] Onion-Peel Networks for Deep Video Completion
- [shifan] Self-supervised Spatiotemporal Learning via Video Clip Order Prediction
- [liangdong] Spectrally-normalized margin bounds for neural networks (NIPS 2017)
- [liangdong] Generalization Bounds for Neural Networks via Approximate Description Length (NIPS 2019)
- [zoucong] Selective Sparse Sampling for Fine-grained Image Recognition
- [zoucong] Learning a Mixture of Granularity-Specific Experts for Fine-Grained
- [zoucong] Categorization Cross-X Learning for Fine-Grained Visual Categorization
- [qijunkun] Improved precision and recall metric for assessing generative models (NeurIPS19)
- [qijunkun] Image-to-image translation via group-wise deep whitening-and-coloring transformation (CVPR19)
- [qijunkun] Multi-mapping image-to-image translation via learning disentanglement (NeurIPS19)
- [lvfeixiao] Editing Text in the Wild
- [lvfeixiao] What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis