A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Deep Retinex Fusion for Adaptive Infrared and Visible Image Super-resolution Fusion
[article]
2022
arXiv
pre-print
Preserved Fulltext
Other Versions
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2022
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2021
2020 25th International Conference on Pattern Recognition (ICPR)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2016
Image and Vision Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 72 results