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Multi Camera Visual Saliency Using Image Stitching

, 2011
Christopher Wing Hong Ngau, Li-Minn Ang, Kah Phooi Seng   +2 more
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Digit-Tracking Reveals Curiosity-Driven Visual Attention in Macaque Monkeys

Yang Y, Ameloot A, Lio G, Sirigu A, Duhamel J.   +4 more
europepmc   +1 more source

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Saliency-Guided Image Translation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
In this paper, we propose a novel task for saliency-guided image translation, with the goal of image-to-image translation conditioned on the user specified saliency map. To address this problem, we develop a novel Generative Adversarial Network (GAN)-based model, called SalG-GAN. Given the original image and target saliency map, SalG-GAN can generate a
Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal   +3 more
openaire   +2 more sources

360-aware saliency estimation with conventional image saliency predictors

Signal Processing: Image Communication, 2018
Abstract This work explores saliency prediction for panoramic 360°-scenes stored as equirectangular images, using exclusively regular “flat” image saliency predictors. The simple equirectangular projection causes severe distortions in the resulting image, which need to be compensated for sensible saliency prediction in all viewports.
Mikhail Startsev, Michael Dorr
openaire   +2 more sources

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

International Conference on Learning Representations, 2023
With evolving data regulations, machine unlearning (MU) has become an important tool for fostering trust and safety in today's AI models. However, existing MU methods focusing on data and/or weight perspectives often grapple with limitations in ...
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu   +5 more
semanticscholar   +1 more source

Multi-Graph Fusion and Learning for RGBT Image Saliency Detection

IEEE transactions on circuits and systems for video technology (Print), 2021
RGB and thermal infrared (RGBT) image saliency detection is a relatively new direction in the field of computer vision. Combining the advantages of RGB images and T images can significantly improve detection performance.
Liming Huang, Kechen Song, Jie Wang, Menghui Niu, Yunhui Yan   +4 more
semanticscholar   +1 more source

Exemplar-based image saliency and co-saliency detection

Neurocomputing, 2020
Abstract Image saliency and co-saliency detection that aim to detect salient objects in an image or common salient objects in a group of images are import in computer vision. Researchers often treat saliency and co-saliency as two separate problems.
Rui Huang, Wei Feng, Zezheng Wang, Yan Xing, Yaobin Zou   +4 more
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Multi-Exposure Decomposition-Fusion Model for High Dynamic Range Image Saliency Detection

IEEE transactions on circuits and systems for video technology (Print), 2020
High dynamic range (HDR) imaging techniques have witnessed a great improvement in the past few decades. However, saliency detection task on HDR content is still far from well explored.
Xu Wang, Zhenhao Sun, Qiudan Zhang, Yuming Fang, Lin Ma, Shiqi Wang, S. Kwong   +6 more
semanticscholar   +1 more source

Classification Saliency-Based Rule for Visible and Infrared Image Fusion

IEEE Transactions on Computational Imaging, 2021
Existing image fusion methods always use hand-crafted fusion rules due to the uninterpretability of deep feature maps, which restrict the performance of networks and result in distortion.
Han Xu, Hao Zhang, Jiayi Ma
semanticscholar   +1 more source