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Deep Retinex Fusion for Adaptive Infrared and Visible Image Super-resolution Fusion [article]

Yuanjie Gu, Zhibo Xiao, Hailun Wang, Cheng Liu, Shouyu Wang
2022 arXiv   pre-print
By this way, we propose a novel self-supervised dataset-free method for adaptive infrared (IR) and visible (VIS) image super-resolution fusion named Deep Retinex Fusion (DRF).  ...  Convolutional neural networks have turned into an illustrious tool for image fusion and super-resolution.  ...  ACKNOWLEDGMENT This work is supported by National Natural Science Foundation of China (61705092) and Natural Science Foundation of Jiangsu Province (BK20200588, BK20180598, BK20170194).  ... 
arXiv:2112.02869v3 fatcat:s7rsdzuk3fcvhfeb6ncplqzcgq

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TMM 2021 1008-1020 Spectrum Characteristics Preserved Visible and Near-Infrared Image Fusion Algorithm.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TIP 2021 8510-8525 Frequency modulation Different Input Resolutions and Arbitrary Output Resolution: A Meta Learn-ing-Based Deep Framework for Infrared and Visible Image Fusion.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Deep Learning for Face Anti-Spoofing: A Survey [article]

Zitong Yu, Yunxiao Qin, Xiaobai Li, Chenxu Zhao, Zhen Lei, Guoying Zhao
2022 arXiv   pre-print
It covers several novel and insightful components: 1) besides supervision with binary label (e.g., '0' for bonafide vs. '1' for PAs), we also investigate recent methods with pixel-wise supervision (e.g  ...  ., pseudo depth map); 2) in addition to traditional intra-dataset evaluation, we collect and analyze the latest methods specially designed for domain generalization and open-set FAS; and 3) besides commercial  ...  CE loss DP image pair S reconstructed depth based on the DP pair with self-supervised loss for planar attack detection TABLE 13 : 13 Summary of the multi-modal deep learning FAS methods.  ... 
arXiv:2106.14948v2 fatcat:wsheo7hbwvewhjoe6ykwjuqfii

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
Chadha, A., +, TIP 2020 2622-2637 Improving Dataset Volumes and Model Accuracy With Semi-Supervised Iterative Self-Learning. Dupre, R., +, TIP 2020 4337-4348 Latent Elastic-Net Transfer Learning.  ...  ., +, TIP 2020 2999-3013 Decision support systems Improving Dataset Volumes and Model Accuracy With Semi-Supervised Iterative Self-Learning.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Table of contents

2020 IEEE Transactions on Image Processing  
Ko 4721 MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion ..................................... ..............................................................................  ...  Huang 4461 Learning a Deep Dual Attention Network for Video Super-Resolution ...................... F. Li, H. Bai, and Y.  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

A Survey of Deep Learning-Based Image Restoration Methods for Enhancing Situational Awareness at Disaster Sites: The Cases of Rain, Snow and Haze

Sotiris Karavarsamis, Ioanna Gkika, Vasileios Gkitsas, Konstantinos Konstantoudakis, Dimitrios Zarpalas
2022 Sensors  
A faceted taxonomy is introduced in past and recent literature including various DL architectures, loss functions and datasets.  ...  These image restoration methods are: (a) deraining; (b) desnowing; (c) dehazing ones.  ...  [63] proposes a self-supervised technique for single image deraining.  ... 
doi:10.3390/s22134707 fatcat:d34wmmvjznfcxfmh3vkj5qlk44

Table of Contents

2020 2020 IEEE International Conference on Image Processing (ICIP)  
ENHANCED RESOLUTION-WISE FEATURES ARS- 06 : 06 MACHINE LEARNING FOR IMAGE AND VIDEO ANALYSIS AND RETRIEVAL I ARS-06.1: SPACE-TIME GUIDED ASSOCIATION LEARNING FOR UNSUPERVISED .......................  ...  AND MOSAICING TEC-01.1: AHFF-NET: ADAPTIVE HIERARCHICAL FEATURE FUSION NETWORK FOR ...................................... 478 IMAGE INPAINTING -LDTL =KDQJ 6KHQJ 7DQJ ,QVWLWXWH RI &RPSXWLQJ 7HFKQRORJ\  ...  IDENTIFICATION AND MISMATCH ...................................... REGULARISATION WITH A ...............................................  ... 
doi:10.1109/icip40778.2020.9191006 fatcat:3fkxl2sjmre2jkryewwo5mlahi

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Semantic Segmentation on Xray Images DAY 4 -Jan 15, 2021 Fu, Yu; Wu, Xiaojun 3002 A Dual-Branch Network for Infrared and Visible Image Fusion DAY 1 -Jan 12, 2021 -DAY 4 -Jan 15, 2021 Ma, Xin; Zhou, Xiaoqiang  ...  ; Babaguchi, Noboru 1191 Semi-Supervised Outdoor Image Generation Conditioned on Weather Signals DAY 4 -Jan 15, 2021 Ahn, Joon Young; Cho, Nam Ik 1325 Neural Architecture Search for Image Super-Resolution  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution

Shuxin Ouyang, Timothy Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang
2016 Image and Vision Computing  
This survey provides a comprehensive review of established techniques and recent developments in HFR. Moreover, we offer a detailed account of datasets and benchmarks commonly used for evaluation.  ...  A wide variety of new invariant features, cross-modality matching models and heterogeneous datasets being established in recent years.  ...  It typically involves a gallery dataset of visible light images and a probe dataset of facial sketches.  ... 
doi:10.1016/j.imavis.2016.09.001 fatcat:hy666szkk5bgfoazyxgwy6hli4

Table of Contents

2021 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)  
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution 1589 Mohammad Saeed Rad (Behzad Bozorgtabar), Thomas Yu (Behzad Bozorgtabar), Claudiu Musat (Digital  ...  Fusion for 3D Object Detection 1526 Ramin Nabati (University of Tennessee Knoxville) and Hairong Qi (University of Tennessee Knoxville) Large Image Datasets: A Pyrrhic Win for Computer Vision?  ... 
doi:10.1109/wacv48630.2021.00004 fatcat:wcrqolbeo5de3gmqsnuw6uewde

2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43

2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Zampogiannis, K., +, TPAMI March 2021 1056-1069 Degradation Deep Learning for Image Super-Resolution: A Survey.  ... 
doi:10.1109/tpami.2021.3126216 fatcat:h6bdbf2tdngefjgj76cudpoyia

Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends [article]

Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz
2022 arXiv   pre-print
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.  ...  In this context, a comprehensive review of current re-ID approaches in solving theses challenges is needed to analyze and focus on particular aspects for further advancements.  ...  Graph matching technique was then adopted to match the self-learned features of visibility cues and self-mine visibility score of the gallery and test image accordingly.  ... 
arXiv:2202.13121v1 fatcat:luwwbcwspndqpauj4dosmmojee

Human Action Recognition from Various Data Modalities: A Review [article]

Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu
2021 arXiv   pre-print
Specifically, we review the current mainstream deep learning methods for single data modalities and multiple data modalities, including the fusion-based and the co-learning-based frameworks.  ...  In this paper, we present a comprehensive survey of recent progress in deep learning methods for HAR based on the type of input data modality.  ...  [64] proposed two video super-resolution methods producing high resolution videos, which were fed to the spatial and temporal streams to predict the action class.  ... 
arXiv:2012.11866v4 fatcat:twjnaur2jzahznci6clkadylay

Literature Review of Action Recognition in the Wild [article]

Asket Kaur, Navya Rao, Tanya Joon
2019 arXiv   pre-print
Action Recognition problem in the untrimmed videos is a challenging task and most of the papers have tackled this problem using hand-crafted features with shallow learning techniques and sophisticated  ...  end-to-end deep learning techniques.  ...  This can handle large number of registered infrared and visible light images. The images were encoded and feature of the images was extracted by that codes.  ... 
arXiv:1911.12249v1 fatcat:46qu4wtyqvhuxcomoymdd5owcm
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