- jhpark
1. Learning Loss for Active Learning (CVPR 2019)
- yllee
1. Deep Attractor Network for Single-Microphone Speaker Separation (ICASSP 2017)
2. Object-Centric Learning with Slot Attention (NeurIPS 2020)
3. An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution (NeurIPS 2018)
4. Streaming End-to-end Speech Recognition For Mobile Devices (ICASSP 2019)
- khlee
1. Multi-scale residual network for image super-resolution (ECCV 2018)
2. Multi-task deep learning for real-time 3D human pose estimation and action recognition (IEEE transactions 2020)
3. Large scale GAN training for high fidelity natural image synthesis (ICLR 2018)
- ysjin
1. Learning to Segment Every Thing (CVPR 2018)
2. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation (ECCV 2018)
3. Residual Networks Behave Like Ensembles of Relatively Shallow Networks (NIPS 2016)
4. Introduction of KnowledgeDistillation
5. Dual Super-Resolution Learning for Semantic Segmentation (CVPR 2020)
6. Learning Memory-guided Normality for Anomaly Detection (CVPR 2020)
- yfjiang
1. AutoAugment Learning Augmentation Strategies From Data (CVPR2019)
2. Toward a universal decoder of linguistic meaning from brain activation (Natural Communication 2018)