- [2012 NIPS] ImageNet Classification with Deep Convolutional Neural Networks, AlexNet, [paper].
- [2014 ECCV] Visualizing and Understanding Convolutional Networks, [paper].
- [2014 ArXiv] Very Deep Convolutional Networks for Large-Scale Image Recognition, VGG, [paper].
- [2015 CVPR] Going Deeper with Convolutions, GoogLeNet, [paper].
- [2016 ICML] Learning Convolutional Neural Networks for Graphs, [paper].
- [2016 CVPR] End-to-end Learning of Action Detection from Frame Glimpses in Videos, [paper], sources: [syyeung/frameglimpses].
- [2017 ICML] Language Modeling with Gated Convolutional Networks, [paper], sources: [jojonki/Gated-Convolutional-Networks], [anantzoid/Language-Modeling-GatedCNN].
- [2017 CVPR] Densely Connected Convolutional Networks, [paper], sources: [liuzhuang13/DenseNet].
- [2017 CVPR] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation, [paper], sources: [charlesq34/pointnet].
- [2017 ICCV] Mask R-CNN, [paper], [tutorial], [video], sources: [matterport/Mask_RCNN], [CharlesShang/FastMaskRCNN], [facebookresearch/Detectron].
- [2017 ICCV] Focal Loss for Dense Object Detection, [paper], [bibtex], sources: [unsky/focal-loss], [ailias/Focal-Loss-implement-on-Tensorflow].
- [2018 AAAI] Towards Perceptual Image Dehazing by Physics-based Disentanglement and Adversarial Training, [paper].
- [2018 IJCAI] DehazeGAN: When Image Dehazing Meets Differential Programming, [paper].
- [2018 CVPR] Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs, [paper], [blog], sources: [JudyYe/zero-shot-gcn].