Zobrazeno 1 - 10
of 954
pro vyhledávání: '"Zhang, Tianhao"'
Autor:
Zhang, Tianhao, McCourty, Heather J., Sanchez-Tafolla, Berardo M., Nikolaev, Anton, Mihaylova, Lyudmila S.
Deep learning has revolutionized medical and biological imaging, particularly in segmentation tasks. However, segmenting biological cells remains challenging due to the high variability and complexity of cell shapes. Addressing this challenge require
Externí odkaz:
http://arxiv.org/abs/2409.17110
Foundation models for natural language processing, powered by the transformer architecture, exhibit remarkable in-context learning (ICL) capabilities, allowing pre-trained models to adapt to downstream tasks using few-shot prompts without updating th
Externí odkaz:
http://arxiv.org/abs/2409.12293
Deformable image registration (DIR) is a fundamental task in radiotherapy, with existing methods often struggling to balance computational efficiency, registration accuracy, and speed effectively. We introduce a novel DIR approach employing parametri
Externí odkaz:
http://arxiv.org/abs/2406.03394
Modeling and analyzing long sequences of text is an essential task for Natural Language Processing. Success in capturing long text dynamics using neural language models will facilitate many downstream tasks such as coherence evaluation, text generati
Externí odkaz:
http://arxiv.org/abs/2405.17764
Measuring the coherence of text is a vital aspect of evaluating the quality of written content. Recent advancements in neural coherence modeling have demonstrated their efficacy in capturing entity coreference and discourse relations, thereby enhanci
Externí odkaz:
http://arxiv.org/abs/2312.16893
Publikováno v:
2023 26th International Conference on Information Fusion (FUSION), 1-8, 2023
The superior performance of object detectors is often established under the condition that the test samples are in the same distribution as the training data. However, in many practical applications, out-of-distribution (OOD) instances are inevitable
Externí odkaz:
http://arxiv.org/abs/2310.19119
The multiple scattering of light makes materials opaque and obstructs imaging. Wavefront shaping can reverse the scattering process, but imaging with physical wavefront shaping has limitations such as requiring physical guidestars, being restricted w
Externí odkaz:
http://arxiv.org/abs/2306.08793
No-reference video quality assessment (NR-VQA) for user generated content (UGC) is crucial for understanding and improving visual experience. Unlike video recognition tasks, VQA tasks are sensitive to changes in input resolution. Since large amounts
Externí odkaz:
http://arxiv.org/abs/2303.07489
Autor:
Huang, Li1 (AUTHOR), Zhang, Tianhao1 (AUTHOR), Wang, Kaixin1 (AUTHOR), Chang, Bingcheng2 (AUTHOR), Fu, Daan1,3,4 (AUTHOR) fda1993@hust.edu.cn, Chen, Xiangdong1,3,4 (AUTHOR) xdchen@hust.edu.cn
Publikováno v:
Pain & Therapy. Aug2024, Vol. 13 Issue 4, p745-766. 22p.
Congestion Control (CC), as the core networking task to efficiently utilize network capacity, received great attention and widely used in various Internet communication applications such as 5G, Internet-of-Things, UAN, and more. Various CC algorithms
Externí odkaz:
http://arxiv.org/abs/2206.01972