Guanbin Li
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Explore the profile of Guanbin Li including associated specialties, affiliations and a list of published articles.
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51
Citations
83
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Recent Articles
1.
Chen J, Fang C, Li J, Leng Y, Li G
IEEE Trans Image Process
. 2025 Mar;
34:1192-1203.
PMID: 40031543
This paper aims to restore original background images in watermarked videos, overcoming challenges posed by traditional approaches that fail to handle the temporal dynamics and diverse watermark characteristics effectively. Our...
2.
Kong Z, Wang Z, Hu Z, Song Y, Xu D, Li G, et al.
Water Res
. 2025 Feb;
275:123208.
PMID: 39893904
Acidic nitritation driven by acid-tolerant ammonia-oxidizing bacteria (AOB) has gained wide attention due to its potential in sustainable wastewater and sludge treatment. However, limited knowledge of initiating acidic nitration using...
3.
Zhang W, Li J, Xia M, Gao X, Tan X, Shi Y, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Nov;
47(2):949-960.
PMID: 39495695
Offset-based representation has emerged as a promising approach for modeling semantic relations between pixels and object motion, demonstrating efficacy across various computer vision tasks. In this paper, we introduce a...
4.
Du Y, Jiang Y, Tan S, Liu S, Li Z, Li G, et al.
IEEE J Biomed Health Inform
. 2024 Oct;
29(2):1209-1220.
PMID: 39446534
Automated polyp segmentation from colonoscopy images is crucial for colorectal cancer diagnosis. The accuracy of such segmentation, however, is challenged by two main factors. First, the variability in polyps' size,...
5.
Yan Z, Ruan D, Wu Y, Huang J, Chai Z, Han X, et al.
IEEE Trans Image Process
. 2024 Sep;
33:5525-5537.
PMID: 39236128
In this paper, we address a complex but practical scenario in Active Learning (AL) known as open-set AL, where the unlabeled data consists of both in-distribution (ID) and out-of-distribution (OOD)...
6.
Huang W, Gong H, Zhang H, Wang Y, Wan X, Li G, et al.
IEEE Trans Med Imaging
. 2024 Aug;
44(1):489-498.
PMID: 39178085
CT-based bronchial tree analysis is a key step for the diagnosis of lung and airway diseases. However, the topology of bronchial trees varies across individuals, which presents a challenge to...
7.
Li G, Chen Z, Mao M, Lin L, Fang C
IEEE Trans Image Process
. 2024 Jun;
33:5510-5524.
PMID: 38889015
Due to the advancement of deep learning, the performance of salient object detection (SOD) has been significantly improved. However, deep learning-based techniques require a sizable amount of pixel-wise annotations. To...
8.
Lou W, Wan X, Li G, Lou X, Li C, Gao F, et al.
IEEE Trans Med Imaging
. 2024 Apr;
43(9):3149-3160.
PMID: 38607704
Nuclei classification provides valuable information for histopathology image analysis. However, the large variations in the appearance of different nuclei types cause difficulties in identifying nuclei. Most neural network based methods...
9.
Li Z, Chen J, Zhang P, Huang H, Li G
IEEE Trans Neural Netw Learn Syst
. 2024 Jan;
36(2):3343-3355.
PMID: 38277248
Federated learning (FL) makes it possible for multiple clients to collaboratively train a machine-learning model through communicating models instead of data, reducing privacy risk. Thus, FL is more suitable for...
10.
Li G, Huang R, Li H, You Z, Chen W
IEEE Trans Image Process
. 2023 Dec;
33:439-450.
PMID: 38145544
Self-supervised depth estimation methods can achieve competitive performance using only unlabeled monocular videos, but they suffer from the uncertainty of jointly learning depth and pose without any ground truths of...