81 citations · 172 across the 23 of their papers we have counts for
5 papers · 1 filter
Prototype Optimization with Neural ODE for Few-Shot Learning
Baoquan Zhang, Shanshan Feng, Bingqi Shan +3
Few-Shot Learning (FSL) is a challenging task, which aims to recognize novel classes with few examples. Pre-training based methods effectively tackle the problem by pre-training a…
LG-VQ: Language-Guided Codebook Learning
Guotao Liang, Baoquan Zhang, Yaowei Wang +6
Vector quantization (VQ) is a key technique in high-resolution and high-fidelity image synthesis, which aims to learn a codebook to encode an image with a sequence of discrete code…
MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information
Jiajun Liang, Baoquan Zhang, Yunming Ye +3
The accurate detection of Mesoscale Convective Systems (MCS) is crucial for meteorological monitoring due to their potential to cause significant destruction through severe weather…
Four-hour thunderstorm nowcasting using a deep diffusion model of satellite data
Kuai Dai, Xutao Li, Junying Fang +6
Convection (thunderstorm) develops rapidly within hours and is highly destructive, posing a significant challenge for nowcasting and resulting in substantial losses to infrastructu…
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
Baoquan Zhang, Huaibin Wang, Luo Chuyao +5
Vector-Quantized Image Modeling (VQIM) is a fundamental research problem in image synthesis, which aims to represent an image with a discrete token sequence. Existing studies effec…