Gang Hua
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Explore the profile of Gang Hua including associated specialties, affiliations and a list of published articles.
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Articles
86
Citations
499
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Recent Articles
1.
Sun B, Kang H, Guan L, Li H, Mordohai P, Hua G
IEEE Trans Pattern Anal Mach Intell
. 2025 Mar;
47(4):2298-2312.
PMID: 40030789
We present a deep learning model, dubbed Glissando-Net, to simultaneously estimate the pose and reconstruct the 3D shape of objects at the category level from a single RGB image. Previous...
2.
Wang H, Yang M, Zheng X, Hua G
IEEE Trans Pattern Anal Mach Intell
. 2025 Mar;
PP.
PMID: 40030448
Depth completion, inferring dense depth maps from sparse measurements, is crucial for robust 3D perception. Although deep learning based methods have made tremendous progress in this problem, these models cannot...
3.
Ji H, Wang L, Zhou S, Tang W, Zheng N, Hua G
IEEE Trans Neural Netw Learn Syst
. 2024 Sep;
PP.
PMID: 39283785
Unsupervised person re-identification (Re-ID) is challenging due to the lack of ground-truth labels. Most existing methods rely on pseudo labels estimated via iterative clustering and thus are highly susceptible to...
4.
Ji H, Wang L, Zhou S, Tang W, Hua G
IEEE Trans Image Process
. 2024 Sep;
33:5144-5158.
PMID: 39264769
Unsupervised person re-identification (Re-ID) is challenging due to the lack of ground truth labels. Most existing methods employ iterative clustering to generate pseudo labels for unlabeled training data to guide...
5.
Zhang Q, Hua G, Smith L, Adang M
Toxins (Basel)
. 2024 Aug;
16(8).
PMID: 39195779
harboring Binary (BinA and BinB) toxins is highly toxic against and mosquito larvae. The Ag55 cell line is a suitable model for investigating the mode of Bin toxin action. Based...
6.
Cheng W, Wu Y, Wu Z, Ling H, Hua G
IEEE Trans Image Process
. 2024 May;
33:3369-3384.
PMID: 38801686
Recently studies have shown the potential of weakly supervised multi-object tracking and segmentation, but the drawbacks of coarse pseudo mask label and limited utilization of temporal information remain to be...
7.
Niu Z, Sun Y, Miao Q, Jin R, Hua G
IEEE Trans Pattern Anal Mach Intell
. 2024 Apr;
46(12):7589-7605.
PMID: 38652616
Deep Neural Networks (DNNs) are known to be vulnerable to both backdoor and adversarial attacks. In the literature, these two types of attacks are commonly treated as distinct robustness problems...
8.
Tang H, Yu X, Chen Q, Zhu Y, Zhang S, Tang L, et al.
J Nephrol
. 2024 Apr;
37(4):1063-1075.
PMID: 38594600
Background: Nutcracker syndrome is a disease characterized by complex symptoms, making its diagnosis challenging and often delayed, often resulting in a painful experience for the patients. Objective: This study aimed...
9.
Liu Q, Jiang Y, Tan Z, Chen D, Fu Y, Chu Q, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Apr;
46(10):6652-6668.
PMID: 38564348
Transformer based methods have achieved great success in image inpainting recently. However, we find that these solutions regard each pixel as a token, thus suffering from an information loss issue...
10.
Zhang J, Chen D, Liao J, Ma Z, Fang H, Zhang W, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Mar;
46(10):6985-6992.
PMID: 38526903
The intellectual property of deep networks can be easily "stolen" by surrogate model attack. There has been significant progress in protecting the model IP in classification tasks. However, little attention...