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Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Predicting the physical properties of reconstructed 3D assets is essential for virtual reality interactions. However, current systems often depend on manually assigning properties such as stiffness an

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

As a distributed machine learning paradigm, federated learning enables collaborative training among multiple clients while preserving data privacy. However, in practical applications, it faces the cha

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Recent advances in pre-trained vision-language models have demonstrated remarkable zero-shot generalization capabilities. To further enhance these models’ adaptability to various downstream tasks, pro

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Vision-language object detectors (VLODs) pretrained on large image-text corpora exhibit strong zero-shot detection abilities, yet their performance often degrades on specialized downstream tasks that

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Current neural image compression (NIC) methods primarily focus on signal fidelity optimization. While perceptually optimized codecs can generate decoded images that better align with human visual pref

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Hyperspectral change detection (HCD) has found numerous key applications, such as land cover monitoring. The majority of benchmark HCD algorithms are semi-supervised methods, and some of them can even

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Diffusion models have been used extensively for hyperspectral and multispectral image fusion; however, their intrinsic hallucination phenomenon frequently results in a loss of high-frequency details i

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Examining thyroid fine needle aspiration (FNA) can grade cancer risks, derive prognostic information, and guide follow-up care or surgery decision-making. However, thyroid cytology’s diagnostic cues a

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

In hyperspectral image classification, existing cross-domain few-shot learning (CDFSL) approaches primarily focus on feature-level adaptation yet often neglect distribution-level shifts, which restric

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Semi-supervised object detection (SSOD) in aerial imagery is significantly hampered by extreme object scale variations, primarily due to diverse spatial resolutions inherent in aerial data, measurable