Publications (27)
Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion
Pan Mu, Zhiying Du, Jinyuan Liu +1
In recent years, deep learning networks have made remarkable strides in the domain of multi-exposure image fusion. Nonetheless, prevailing approaches often involve directly feeding…
NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval
Zengrong Lin, Zheng Wang, Tianwen Qian +3
Cross-modal retrieval aims to bridge the semantic gap between different modalities, such as visual and textual data, enabling accurate retrieval across them. Despite significant ad…
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval
Qing Ma, Jiancheng Pan, Cong Bai
Image-text retrieval has developed rapidly in recent years. However, it is still a challenge in remote sensing due to visual-semantic imbalance, which leads to incorrect matching o…
Intra-Modal Constraint Loss For Image-Text Retrieval
Jianan Chen, Lu Zhang, Qiong Wang +2
Cross-modal retrieval has drawn much attention in both computer vision and natural language processing domains. With the development of convolutional and recurrent neural networks,…
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
Cheng Huang, Pan Mu, Cong Bai +1
Precipitation from tropical cyclones (TCs) can cause disasters such as flooding, mudslides, and landslides. Predicting such precipitation in advance is crucial, giving people time…
Power Distribution System Blackstart Restoration Using Renewable Energy
Wenlong Shi, Hongyi Li, Cong Bai +1
Integrating renewable energy sources into the grid not only reduces global carbon emissions, but also facilitates distribution system (DS) blackstart restoration. This process leve…
PriorCLIP: Visual Prior Guided Vision-Language Model for Remote Sensing Image-Text Retrieval
Jiancheng Pan, Muyuan Ma, Qing Ma +2
Remote sensing image-text retrieval plays a crucial role in remote sensing interpretation, yet remains challenging under both closed-domain and open-domain scenarios due to semanti…
MVG-KAN: Multi-View Geo-Wind Guided KAN for PM Forecasting
Cheng Huang, Muyao Guan, Jairus Yougui Railey +6
Accurate short-term PM forecasting is important for public health protection, air-quality early warning, and urban environmental management. However, PM variation i…
Synchronization-Safe Dynamic Microgrid Formation for DER-Led Distribution System Restoration With Constraint-Aware Graph Learning
Cong Bai, Salish Maharjan, Yunyi Li +2
Prolonged blackouts in distribution systems (DSs) with high penetration of distributed energy resources (DERs) necessitate novel restoration strategies to rapidly restore loads. Ho…
From Swath to Full-Disc: Advancing Precipitation Retrieval with Multimodal Knowledge Expansion
Zheng Wang, Kai Ying, Bin Xu +2
Accurate near-real-time precipitation retrieval has been enhanced by satellite-based technologies. However, infrared-based algorithms have low accuracy due to weak relations with s…
Think, Then Verify: A Hypothesis-Verification Multi-Agent Framework for Long Video Understanding
Zheng Wang, Haoran Chen, Haoxuan Qin +3
Long video understanding is challenging due to dense visual redundancy, long-range temporal dependencies, and the tendency of chain-of-thought and retrieval-based agents to accumul…
Histogram-guided Video Colorization Structure with Spatial-Temporal Connection
Zheyuan Liu, Pan Mu, Hanning Xu +1
Video colorization, aiming at obtaining colorful and plausible results from grayish frames, has aroused a lot of interest recently. Nevertheless, how to maintain temporal consisten…
MMINR: Multi-frame-to-Multi-frame Inference with Noise Resistance for Precipitation Nowcasting with Radar
Feng Sun, Cong Bai
Precipitation nowcasting based on radar echo maps is essential in meteorological research. Recently, Convolutional RNNs based methods dominate this field, but they cannot be solved…
Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
Ziqing Ma, Kai Ying, Xinyue Gu +7
Accurate day-ahead solar irradiance forecasting is essential for integrating solar energy into the power grid. However, it remains challenging due to the pronounced diurnal cycle a…
PMPGuard: Catching Pseudo-Matched Pairs in Remote Sensing Image-Text Retrieval
Pengxiang Ouyang, Qing Ma, Zheng Wang +1
Remote sensing (RS) image-text retrieval faces significant challenges in real-world datasets due to the presence of Pseudo-Matched Pairs (PMPs), semantically mismatched or weakly a…
DERs-Aided Blackstart and Load Restoration Framework for Distribution Systems Considering Synchronization and Frequency Security Constraints
Salish Maharjan, Cong Bai, Han Wang +3
Extreme weather events have led to long-duration outages in the distribution system (DS), necessitating novel approaches to blackstart and restore the system. Existing blackstart s…
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
Hanting Yan, Pan Mu, Shiqi Zhang +3
Tropical Cyclone (TC) estimation aims to accurately estimate various TC attributes in real time. However, distribution shifts arising from the complex and dynamic nature of TC envi…
Towards General and Fast Video Derain via Knowledge Distillation
Defang Cai, Pan Mu, Sixian Chan +2
As a common natural weather condition, rain can obscure video frames and thus affect the performance of the visual system, so video derain receives a lot of attention. In natural e…
A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement
Pan Mu, Hanning Xu, Zheyuan Liu +3
Underwater images often suffer from color distortion and low contrast resulting in various image types, due to the scattering and absorption of light by water. While it is difficul…
Transmission and Color-guided Network for Underwater Image Enhancement
Pan Mu, Jing Fang, Haotian Qian +1
In recent years, with the continuous development of the marine industry, underwater image enhancement has attracted plenty of attention. Unfortunately, the propagation of light in…
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
Zekai Zhang, Qinghui Chen, Maomao Xiong +6
Large Visual Language Models (LVLMs) have achieved remarkable success in vision tasks. However, the significant differences between industrial and natural scenes make applying LVLM…
Model Predictive Black Start for Dynamic Formation of DER-Led Microgrids with Inrush Current Impacts
Cong Bai, Salish Maharjan, Zhaoyu Wang
Black start (BS) of the distribution system (DS) with high penetration of distributed energy resources (DERs) requires advanced control frameworks to ensure secure and efficient re…
KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite
Jiakang Shen, Qinghui Chen, Runtong Wang +4
Tropical cyclones (TC) are among the most destructive natural disasters, causing catastrophic damage to coastal regions through extreme winds, heavy rainfall, and storm surges. Tim…
ISDA: Position-Aware Instance Segmentation with Deformable Attention
Kaining Ying, Zhenhua Wang, Cong Bai +1
Most instance segmentation models are not end-to-end trainable due to either the incorporation of proposal estimation (RPN) as a pre-processing or non-maximum suppression (NMS) as…
Stochastic Black Start Resource Allocation to Enable Dynamic Formation of Networked Microgrids and DER-aided Restoration
Cong Bai, Salish Maharjan, Han Wang +1
Extended outages in distributed systems (DSs) dominated by distributed energy resources (DERs) require innovative strategies to efficiently and securely deploy black start (BS) res…
KFTD: Koopman-Fourier Time-Differentiable Network for Continuous Ocean Spatiotemporal Forecasting
Qinghui Chen, Zekai Zhang, Hailong Liu +2
Accurate oceanic forecasting is critical for climate monitoring and disaster early warning. However, ocean spatiotemporal forecasting encounters the double challenges of modeling c…
Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines
Zekai Zhang, Jinglin Zhang, Qinghui Chen +8
Large-scale Visual-Language Models (LVLMs) have achieved remarkable success in natural visual tasks, yet their application to industrial defect detection remains challenging due to…