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Mutual Guidance-based Saliency Propagation for Infrared Pedestrian Images
2019
IEEE Access
Preserved Fulltext
In this paper, an effective propagation based saliency detection method for infrared pedestrian images is proposed. ...
INDEX TERMS Infrared images, pedestrian, saliency, propagation. ...
Bottom: the mutual guidance based saliency propagation. ...
doi:10.1109/access.2019.2933310
fatcat:saeqvkz33vaole5kws2yll3nkq
Deep Visible and Thermal Image Fusion for Enhanced Pedestrian Visibility
2019
Sensors
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In this paper, we propose a learning-based method for visible and thermal image fusion that focuses on generating fused images with high visual similarity to regular truecolor (red-green-blue or RGB) images ...
The main novelty of this paper is the idea to rely on two types of objective functions for optimization: a similarity metric between the RGB input and the fused output to achieve natural image appearance ...
Paper [2] provides a comprehensive overview of existing techniques for visible and infrared image fusion. ...
doi:10.3390/s19173727
pmid:31466378
pmcid:PMC6749306
fatcat:ykjkwe7xhbh5pf3f54ez34soi4
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey
[article]
2024
arXiv
pre-print
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Accordingly, most of the current approaches in the field use deep learning-based image fusion methodologies (i.e., early, halfway, and late fusion) for accurate and reliable pedestrian detection. ...
These methodologies encompass a diverse range, including deep learning-based, feature-based, and hybrid approaches, which have shown promising results in enhancing pedestrian detection performance under ...
Infrared images are another source of valuable information for pedestrian detection tasks at night. Zhou et al. [45] designed a pedestrian extraction algorithm for IR images. ...
arXiv:2401.07801v1
fatcat:7ev2rhksfbftxndz6jkrw5rawi
Asymmetric Contextual Modulation for Infrared Small Target Detection
[article]
2020
arXiv
pre-print
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We also propose an asymmetric contextual modulation module specially designed for detecting infrared small targets. ...
To better highlight small targets, besides a top-down global contextual feedback, we supplement a bottom-up modulation pathway based on point-wise channel attention for exchanging high-level semantics ...
Datasets for Infrared Small Targets Unlike the computer vision tasks based on optical image datasets [28, 23] , infrared small target detection is trapped by data scarcity for a long time due to many ...
arXiv:2009.14530v1
fatcat:sn33e7qkvrhxhpnc6ybcgkvmoy
Pedestrian Detection in Automotive Safety: Understanding State-of-the-Art
2019
IEEE Access
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INDEX TERMS Road safety, advanced driver assistance systems (ADAS), smart image region of interest (ROI) selection, image feature descriptors, pedestrian detection. 47864 2169-3536 ...
This paper is a study of different techniques used in pedestrian detection specific to the automotive application, along with a description of generic pedestrian detection solution architecture. ...
ACKNOWLEDGMENT The authors would like to thank the authorities at Bharathiar University, Central University of Kerala, and Tata Elxsi for the support extended during the preparation of this paper. ...
doi:10.1109/access.2019.2909992
fatcat:rb4b5mzd5vfgnnqrswnu2vuk4m
Table of contents
2020
IEEE Transactions on Image Processing
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Tai 4669 The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification .............................. .......................... D. Chang, Y. Ding, J. Xie, A. ...
Ko 4721 MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion ..................................... .............................................................................. ...
doi:10.1109/tip.2019.2940372
fatcat:h23ul2rqazbstcho46uv3lunku
State-of-the-Art in Visual Attention Modeling
2013
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Modeling visual attention -particularly stimulus-driven, saliency-based attention -has been a very active research area over the past 25 years. ...
Finally, we highlight current research trends in attention modeling and provide insights for future. ...
The authors would like to thank reviewers for their helpful comments on the paper. ...
doi:10.1109/tpami.2012.89
pmid:22487985
fatcat:unx6oe5wfracdcxhcrocwgfspm
Table of Contents
2021
IEEE transactions on multimedia
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Attention Network for Online News Sentiment Recognition . . . . . . . . . . . . . . . ... .FoV Viewport-Based Visual Saliency Model Using Adaptive Weighting Losses for 360 • Images. . . . . . . . . . ...
Pereira Integrating Part of Speech Guidance for Image Captioning . . . . . . . . . . . . . . . . . . . . . J. Zhang, K. Mei, Y. Zheng, and J. ...
doi:10.1109/tmm.2021.3132246
fatcat:el7u2udtybddrpbl5gxkvfricy
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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., +, TIP 2020 186-198
IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 29, 2020
+ Check author entry for coauthors
Context-Aware Graph Label Propagation Network for Saliency Detection. ...
., +, TIP 2020 2176-2189
TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Fil-
tering Regularization for Infrared Small Target Detection. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TMM 2021 2706-2720 Attentive Cross-Modal Fusion Network for RGB-D Saliency Detection. Liu, D., +, TMM 2021 967-981 Attribute-Aware Pedestrian Detection in a Crowd. ...
., +, TMM 2021 4491-4501 A Multi-FoV Viewport-Based Visual Saliency Model Using Adaptive Weighting Losses for 360° Images. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends
[article]
2022
arXiv
pre-print
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Owing to its potential in various applications and research significance, a plethora of deep learning based re-Id approaches have been proposed in the recent years. ...
For the first time a survey of this type have been presented where the person re-Id approaches are reviewed in such solution-oriented perspective. ...
Attention Based Deep Network In the convolution based deep architectures, the attention regions of the images are captured at small receptive fields of the input image and are propagated towards deeper ...
arXiv:2202.13121v1
fatcat:luwwbcwspndqpauj4dosmmojee
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TIP 2021 1015-1029 Salience-Guided Iterative Asymmetric Mutual Hashing for Fast Person Re-Identification. ...
., +, TIP 2021 1130-1142 Salience-Guided Iterative Asymmetric Mutual Hashing for Fast Person Re-Identification. Zhao, C., +, TIP 2021 7776-7789 Toward Visual Distortion in Black-Box Attacks. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction
[article]
2021
arXiv
pre-print
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Various mathematical tools such as Markov Chains, Gaussian Processes, Auto-Regressive modeling, and Bayesian recursive filtering are widely adopted jointly with computer vision techniques for these two ...
Recently, structures that rely on deep convolutional neural networks and recurrent neural networks have been extensively proposed for improving the performance of existing vision tasks, in general, and ...
Derpanis for the insightful comments they provided on this review. ...
arXiv:2107.05140v2
fatcat:f23pi3i5fzhqxlirv3slgkl3wu
Table of Contents
2020
2020 IEEE International Conference on Image Processing (ICIP)
Preserved Fulltext
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& VIDEO MID-LEVEL ANALYSIS ARS-15.1: JOINT-DISTRIBUTION AND GAIN RATE BASED SALIENCY MODEL FOR ........................................... 1486 CIRCULAR TANK DETECTION IN REMOTE SENSING IMAGES /LEDR = ...
........................................ 1996 SALIENCY DETECTION /HL :DQJ /LSLQJ 6KHQ 6KDQJKDL -LDR7RQJ 8QLYHUVLW\ &KLQD ARS-19.8: KL-DIVERGENCE-BASED REGION PROPOSAL NETWORK FOR OBJECT .............. ...
CODED-APERTURE FOR UNSUPERVISED CLASSIFICATION OF HYPERSEPCTRAL IMAGERY -LDQFKHQ =KX 7RQJ =KDQJ 6KHQJMLH =KDR 7RQJML 8QLYHUVLW\ &KLQD
IMT-02.4: ADMM-INSPIRED RECONSTRUCTION NETWORK FOR COMPRESSIVE ...
doi:10.1109/icip40778.2020.9191006
fatcat:3fkxl2sjmre2jkryewwo5mlahi
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey
[article]
2023
arXiv
pre-print
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Throughout this article, we explore well-established techniques for extracting features from multimodal data sources. ...
In this context, we present a comprehensive survey of multimodal approaches for indoor human monitoring systems, with a specific focus on their relevance in elderly care. ...
[94] present a depth map regression model for imaging radar perception by using mmWave radar with LiDAR based supervision. ...
arXiv:2312.07601v1
fatcat:dw7jewtojbecnn67h4e32utahi
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