68 citations · 406 across the 33 of their papers we have counts for
11 papers · 1 filter
BEVBert: Multimodal Map Pre-training for Language-guided Navigation
Dong An, Yuankai Qi, Yangguang Li +4
Large-scale pre-training has shown promising results on the vision-and-language navigation (VLN) task. However, most existing pre-training methods employ discrete panoramas to lear…
CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoising
Yifan Zuo, Jiacheng Xie, Yuming Fang +2
A mainstream type of the state of the arts (SOTAs) based on convolutional neural network (CNN) for real image denoising contains two sub-problems, i.e., noise estimation and non-bl…
CNTN: Cyclic Noise-tolerant Network for Gait Recognition
Weichen Yu, Hongyuan Yu, Yan Huang +2
Gait recognition aims to identify individuals by recognizing their walking patterns. However, an observation is made that most of the previous gait recognition methods degenerate s…
Generalized Inter-class Loss for Gait Recognition
Weichen Yu, Hongyuan Yu, Yan Huang +1
Gait recognition is a unique biometric technique that can be performed at a long distance non-cooperatively and has broad applications in public safety and intelligent traffic syst…
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
Hongyuan Yu, Ting Li, Weichen Yu +4
Multivariate time-series forecasting is a critical task for many applications, and graph time-series network is widely studied due to its capability to capture the spatial-temporal…
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Yankun Huang, Qihang Lin, Nick Street +1
We propose a federated learning method with weighted nodes in which the weights can be modified to optimize the model's performance on a separate validation set. The problem is for…