Luc Van Gool
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Explore the profile of Luc Van Gool including associated specialties, affiliations and a list of published articles.
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Citations
296
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Recent Articles
1.
Tang H, Shao L, Sebe N, Gool L
IEEE Trans Pattern Anal Mach Intell
. 2025 Mar;
PP.
PMID: 40031216
In this paper, we propose a novel cross-attention-based generative adversarial network (GAN) for the challenging person image generation task. Cross-attention is a novel and intuitive multi-modal fusion method in which...
2.
Sakaridis C, Bruggemann D, Yu F, Gool L
IEEE Trans Pattern Anal Mach Intell
. 2025 Mar;
47(4):3111-3125.
PMID: 40031073
Adaptation of semantic segmentation networks to different visual conditions is vital for robust perception in autonomous cars and robots. However, previous work has shown that most feature-level adaptation methods, which...
3.
Sun L, Gehrig D, Sakaridis C, Gehrig M, Liang J, Sun P, et al.
IEEE Trans Pattern Anal Mach Intell
. 2025 Mar;
47(4):2265-2279.
PMID: 40030478
Effective video frame interpolation hinges on the adept handling of motion in the input scene. Prior work acknowledges asynchronous event information for this, but often overlooks whether motion induces blur...
4.
Xia B, Zhang Y, Wang S, Wang Y, Wu X, Tian Y, et al.
IEEE Trans Pattern Anal Mach Intell
. 2025 Mar;
PP.
PMID: 40030370
The Diffusion Model (DM) has emerged as the SOTA approach for image synthesis. However, the existing DM cannot perform well on some image-to-image translation (I2I) tasks. Different from image synthesis,...
5.
Li K, Gool L, Dai D
IEEE Trans Pattern Anal Mach Intell
. 2024 Sep;
PP.
PMID: 39312438
The progress on Hyperspectral image (HSI) super-resolution (SR) is still lagging behind the research of RGB image SR. HSIs usually have a high number of spectral bands, so accurately modeling...
6.
Yin B, Zhang X, Fan D, Jiao S, Cheng M, Gool L, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Aug;
46(12):10362-10374.
PMID: 39102328
How to identify and segment camouflaged objects from the background is challenging. Inspired by the multi-head self-attention in Transformers, we present a simple masked separable attention (MSA) for camouflaged object...
7.
Wei H, Tang H, Jia X, Wang Z, Yu H, Li Z, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Jul;
46(12):9797-9817.
PMID: 39024087
Despite the impressive achievements of Deep Neural Networks (DNNs) in computer vision, their vulnerability to adversarial attacks remains a critical concern. Extensive research has demonstrated that incorporating sophisticated perturbations into...
8.
Sun G, Liu Y, Ding H, Wu M, Gool L
IEEE Trans Pattern Anal Mach Intell
. 2024 Apr;
46(10):6919-6934.
PMID: 38598382
Contextual information plays a core role for video semantic segmentation (VSS). This paper summarizes contexts for VSS in two-fold: local temporal contexts (LTC) which define the contexts from neighboring frames,...
9.
Liang J, Cao J, Fan Y, Zhang K, Ranjan R, Li Y, et al.
IEEE Trans Image Process
. 2024 Mar;
33:2171-2182.
PMID: 38451763
Video restoration aims to restore high-quality frames from low-quality frames. Different from single image restoration, video restoration generally requires to utilize temporal information from multiple adjacent but usually misaligned video...
10.
Tang H, Shao L, Sebe N, Gool L
IEEE Trans Pattern Anal Mach Intell
. 2024 Jan;
46(6):4298-4313.
PMID: 38231798
We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for challenging graph-constrained architectural layout generation tasks. The proposed graph-Transformer-based...