activity
20212024
most citedMetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning

4 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 1 cited

RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering

Hui Lin, Danfeng Hong, Shuhang Ge +4

Remote Sensing Image Captioning (RSIC) presents unique challenges and plays a critical role in applications. Traditional RSIC methods often struggle to produce rich and diverse des…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023★ 3 cited

DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting

Demin Yu, Xutao Li, Yunming Ye +5

Precipitation nowcasting is an important spatio-temporal prediction task to predict the radar echoes sequences based on current observations, which can serve both meteorological sc…

cs.LG2023★ 4 cited

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning

Baoquan Zhang, Chuyao Luo, Demin Yu +4

Equipping a deep model the abaility of few-shot learning, i.e., learning quickly from only few examples, is a core challenge for artificial intelligence. Gradient-based meta-learni…

cs.LG2021★ 2 cited

RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting

Chuyao Luo, ZhengZhang, Rui Ye +2

Natural disasters caused by heavy rainfall often cost huge loss of life and property. To avoid it, the task of precipitation nowcasting is imminent. To solve the problem, increasin…