209 citations · 209 across the 7 of their papers we have counts for
8 papers
The Confidence Game: Strategic Miscalibration in Human-AI Delegation
Raghu Arghal, Saswati Sarkar, Shirin Saeedi Bidokhti
Calibrated uncertainty quantification is essential to ensuring AI agents are trustworthy and reliable. However, when agents seek to maximize user engagement or revenue, confidence…
MSP-Net: Manifold-Guided Spectral Prompt Network for Hyperspectral Object Tracking
Juliu Li, Hanlin Qin, Shuowen Yang +4
Hyperspectral object tracking leverages abundant spectral information to provide unique advantages for target discrimination in complex scenes. However, existing methods typically…
DRPCA-Net: Make Robust PCA Great Again for Infrared Small Target Detection
Zihao Xiong, Fei Zhou, Fengyi Wu +5
Infrared small target detection plays a vital role in remote sensing, industrial monitoring, and various civilian applications. Despite recent progress powered by deep learning, ma…
Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learning
Yahao Lu, Yuehui Li, Xingyuan Guo +3
Infrared small target detection (ISTD) is highly sensitive to sensor type, observation conditions, and the intrinsic properties of the target. These factors can introduce substanti…
Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label Generation
Shuai Yuan, Hanlin Qin, Renke Kou +4
We pioneer a learning-based single-point prompt paradigm for infrared small target label generation (IRSTLG) to lobber annotation burdens. Unlike previous clustering-based methods,…
DestripeCycleGAN: Stripe Simulation CycleGAN for Unsupervised Infrared Image Destriping
Shiqi Yang, Hanlin Qin, Shuai Yuan +2
CycleGAN has been proven to be an advanced approach for unsupervised image restoration. This framework consists of two generators: a denoising one for inference and an auxiliary on…
SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection
Shuai Yuan, Hanlin Qin, Xiang Yan +2
Infrared small target detection (IRSTD) has recently benefitted greatly from U-shaped neural models. However, largely overlooking effective global information modeling, existing te…
ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping
Shuai Yuan, Hanlin Qin, Xiang Yan +4
In a real-world infrared imaging system, effectively learning a consistent stripe noise removal model is essential. Most existing destriping methods cannot precisely reconstruct im…