Cited By
View all- Chu JLiu JWang HMeng HGong ZLi T(2023)Micro-Supervised Disturbance Learning: A Perspective of Representation Probability DistributionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.322546145:6(7542-7558)Online publication date: 1-Jun-2023
- Liu SKeren GParada-Cabaleiro ESchuller B(2021)N-HANS: A neural network-based toolkit for in-the-wild audio enhancementMultimedia Tools and Applications10.1007/s11042-021-11080-yOnline publication date: 3-Jun-2021
- Lu KBarnes NAnwar SZheng L(2020)From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR42600.2020.01132(11303-11312)Online publication date: Jun-2020
- Show More Cited By