Josef Kittler
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Explore the profile of Josef Kittler including associated specialties, affiliations and a list of published articles.
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49
Citations
329
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Recent Articles
1.
Novak J, Nahacka Z, Oliveira G, Brisudova P, Dubisova M, Dvorakova S, et al.
Cell Rep
. 2025 Jan;
44(1):115154.
PMID: 39792553
Recent research has shown that mtDNA-deficient cancer cells (ρ cells) acquire mitochondria from tumor stromal cells to restore respiration, facilitating tumor formation. We investigated the role of Miro1, an adaptor...
2.
Shao P, Xu T, Tang Z, Li L, Wu X, Kittler J
Neural Netw
. 2024 Dec;
183():106948.
PMID: 39657526
There is currently strong interest in improving visual object tracking by augmenting the RGB modality with the output of a visual event camera that is particularly informative about the scene...
3.
Dong W, Wu X, Xu T, Feng Z, Ahmed S, Awais M, et al.
Neural Netw
. 2024 Aug;
179:106602.
PMID: 39153400
In the majority of existing multi-view clustering methods, the prerequisite is that the data have the correct cross-view correspondence. However, this strong assumption may not always hold in real-world applications,...
4.
Wang R, Wu X, Chen Z, Hu C, Kittler J
IEEE Trans Neural Netw Learn Syst
. 2024 Mar;
35(7):8924-8938.
PMID: 38470600
By characterizing each image set as a nonsingular covariance matrix on the symmetric positive definite (SPD) manifold, the approaches of visual content classification with image sets have made impressive progress....
5.
Liu D, Bober M, Kittler J
IEEE Trans Pattern Anal Mach Intell
. 2023 Nov;
46(2):1231-1242.
PMID: 37910406
Scene graph generation is a structured prediction task aiming to explicitly model objects and their relationships via constructing a visually-grounded scene graph for an input image. Currently, the message passing...
6.
Liu D, Bober M, Kittler J
IEEE Trans Pattern Anal Mach Intell
. 2023 Jun;
45(10):11588-11599.
PMID: 37276097
As a structured prediction task, scene graph generation aims to build a visually-grounded scene graph to explicitly model objects and their relationships in an input image. Currently, the mean field...
7.
Li H, Xu T, Wu X, Lu J, Kittler J
IEEE Trans Pattern Anal Mach Intell
. 2023 Apr;
45(9):11040-11052.
PMID: 37074897
Deep learning based fusion methods have been achieving promising performance in image fusion tasks. This is attributed to the network architecture that plays a very important role in the fusion...
8.
Chen Z, Wu X, Xu T, Kittler J
IEEE Trans Image Process
. 2023 Apr;
32:6514-6525.
PMID: 37030827
Multi-view subspace clustering is an important topic in cluster analysis. Its aim is to utilize the complementary information conveyed by multiple views of objects to be clustered. Recently, view-shared anchor...
9.
Xu T, Feng Z, Wu X, Kittler J
IEEE Trans Image Process
. 2023 Apr;
PP.
PMID: 37027596
Advanced Siamese visual object tracking architectures are jointly trained using pair-wise input images to perform target classification and bounding box regression. They have achieved promising results in recent benchmarks and...
10.
Liu D, Bober M, Kittler J
IEEE Trans Pattern Anal Mach Intell
. 2023 Apr;
45(8):10161-10172.
PMID: 37022845
Scene graph generation aims to interpret an input image by explicitly modelling the objects contained therein and their relationships. In existing methods the problem is predominantly solved by message passing...