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Award, CVPR, HM. Physics based model to get structure and two or more images
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Contrast decay is exponential in the depth of the scene. This is used
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atmospheric optics
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Potential of Intelligent Transportation Systems in Mitigating Adverse
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Computer crashes
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Object detection, Feature extraction, Atmospheric modeling,
Image restoration, Task analysis, Meteorology, Detectors, CNN
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WiperNet: A Lightweight Multi-Weather Restoration Network for
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2212
Rain, Snow, Image restoration, Degradation, Deep learning,
Context-aware services, Task analysis, Multi-weather restoration,
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Atmospheric/weather conditions, E-TUVD dataset,
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Restoring Vision in Adverse Weather Conditions With Patch-Based
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PAMI(45), No. 8, August 2023, pp. 10346-10357.
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2307
Image restoration, Meteorology, Task analysis, Noise reduction,
Computational modeling, Rain, Data models,
raindrop removal
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Cheng, X.[Xin],
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Song, J.C.[Jia-Chun],
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A Highway Traffic Image Enhancement Algorithm Based on Improved GAN
in Complex Weather Conditions,
ITS(24), No. 8, August 2023, pp. 8716-8726.
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2308
Image enhancement, Meteorology, Rain, Generators,
Generative adversarial networks, Image color analysis,
multiscale feature
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Deng, X.H.[Xiao-Heng],
Jiang, P.[Ping],
Wan, S.H.[Shao-Hua],
Guo, Y.Y.X.[Yuan-Yan-Xiong],
CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous
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Liu, H.[Huikai],
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Zhu, W.Q.[Wen-Qian],
Fu, B.[Bin],
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2312
Image de-weathering, Deep learning, Image restoration,
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Cheng, Y.J.[Yu-Jie],
Xin, Z.C.[Zhi-Chao],
Yu, Z.B.[Zhi-Bin],
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Robust Perception Under Adverse Conditions for Autonomous Driving
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ITS(24), No. 12, December 2023, pp. 13916-13929.
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2312
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Kulkarni, A.[Ashutosh],
Patil, P.W.[Prashant W.],
Murala, S.[Subrahmanyam],
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2312
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Multiple Adverse Weather Conditions Adaptation for Object Detection
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PAMI(46), No. 3, March 2024, pp. 1742-1756.
IEEE DOI
2402
Meteorology, Object detection, Feature extraction, Visualization,
Detectors, Adaptation models, Training, Domain adaptation model,
causal intervention representation learning
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Gao, T.[Tao],
Wen, Y.B.[Yuan-Bo],
Zhang, K.[Kaihao],
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Chen, T.[Ting],
Liu, L.[Lidong],
Luo, W.H.[Wen-Han],
Frequency-Oriented Efficient Transformer for All-in-One
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WWW Link.
2403
Image restoration, Transformers, Task analysis, Degradation, Meteorology,
Decoding, Rain, image restoration, frequency-oriented transformer
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Tan, Z.T.[Zhen-Tao],
Wu, Y.[Yue],
Liu, Q.[Qiankun],
Chu, Q.[Qi],
Lu, L.[Le],
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Yu, N.H.[Neng-Hai],
Exploring the Application of Large-Scale Pre-Trained Models on
Adverse Weather Removal,
IP(33), 2024, pp. 1683-1698.
IEEE DOI
2403
Meteorology, Task analysis, Training, Semantics, Image restoration,
Rain, Feature extraction, Adverse weather removal,
multi-modal pre-trained model
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Ali, A.[Asfak],
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2403
Dehaze, Derain, Auto encoder, U-Net, Wavelet, Noise removal
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Deep Counterfactual Representation Learning for Visual Recognition
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MultMed(26), 2024, pp. 5257-5272.
IEEE DOI
2404
Meteorology, Representation learning, Adaptation models, Training,
Feature extraction, Data models, Robustness, Causal effect, weather corruptions
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Nie, J.[Jing],
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IVC(146), 2024, pp. 105035.
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Object detection, Adverse weather conditions, Knowledge distillation
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Towards a Transitional Weather Scene Recognition Approach for
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ITS(25), No. 6, June 2024, pp. 5201-5210.
IEEE DOI
2406
Shape, Clouds, Logic gates, Data collection, Feature extraction,
Data mining, Convolutional neural networks, Autonomous vehicles,
sequence classification
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Sarmiento, N.[Nicolas],
Erdogan, H.[Hüseyin],
Wunderle, B.[Bernhard],
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Li, Y.[Yan],
Wang, N.N.[Nan-Nan],
Han, J.W.[Jun-Wei],
Zhang, D.W.[Ding-Wen],
Continual All-in-One Adverse Weather Removal With Knowledge Replay on
a Unified Network Structure,
MultMed(26), 2024, pp. 8184-8196.
IEEE DOI
2408
Meteorology, Task analysis, Knowledge engineering, Training,
Image restoration, Data models, Snow, Adverse weather removal,
continual Learning
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Wen, Y.B.[Yuan-Bo],
Gao, T.[Tao],
Zhang, K.[Kaihao],
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PR(156), 2024, pp. 110743.
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2408
Image restoration,
Rain-by-snow weather removal, Vision Transformer, Attention sampling
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Shi, B.H.[Bo-Hang],
Xiong, B.Q.[Bing-Qing],
Yu, Y.H.[Yuan-Hui],
Research on a multi-scale degradation fusion network in all-in-one
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IET-IPR(18), No. 11, 2024, pp. 3070-3081.
DOI Link
2409
Deraining, dehazing
image denoising
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Wang, T.[Tao],
Zhang, K.H.[Kai-Hao],
Shao, Z.Q.[Zi-Qian],
Luo, W.H.[Wen-Han],
Stenger, B.[Bjorn],
Lu, T.[Tong],
Kim, T.K.[Tae-Kyun],
Liu, W.[Wei],
Li, H.D.[Hong-Dong],
GridFormer: Residual Dense Transformer with Grid Structure for Image
Restoration in Adverse Weather Conditions,
IJCV(132), No. 10, October 2024, pp. 4541-4563.
Springer DOI
2410
BibRef
Wu, X.D.[Xin-Dong],
Cao, H.[Huiliang],
Wang, C.G.[Chen-Guang],
Shen, C.[Chong],
Tang, J.[Jun],
Liu, J.[Jun],
Heading Measurement Frame Based on Atmospheric Scattering Beams for
Intelligent Vehicle,
ITS(25), No. 10, October 2024, pp. 14932-14947.
IEEE DOI
2410
Navigation, Sun, Vectors, Atmospheric measurements, Scattering,
Atmospheric modeling, Position measurement, vehicle orientation
BibRef
Feng, X.Y.[Xin-Yun],
Peng, T.[Tao],
Qiao, N.G.[Ning-Guo],
Li, H.T.[Hai-Tao],
Chen, Q.[Qiang],
Zhang, R.[Rui],
Duan, T.T.[Ting-Ting],
Gong, J.[JinFeng],
ADWNet: An improved detector based on YOLOv8 for application in
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2411
artificial intelligence, automobiles, autonomous driving
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Li, Z.Y.[Zhong-Yu],
Zhang, L.[Lei],
Efficient Scene Recovery Using Luminous Flux Prior,
CVPR24(2743-2752)
IEEE DOI
2410
Training, Performance evaluation, Analytical models, Correlation,
Computational modeling, Real-time systems, Robustness,
Luminous Flux Prior
BibRef
Yang, Y.J.[Yi-Jun],
Wu, H.T.[Hong-Tao],
Aviles-Rivero, A.I.[Angelica I.],
Zhang, Y.[Yulun],
Qin, J.[Jing],
Zhu, L.[Lei],
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for
Video Adverse Weather Removal,
CVPR24(25606-25616)
IEEE DOI
2410
Training, Adaptation models, Rain, Snow, Noise, Streaming media,
Video Adverse Weather Removal, Diffusion models, Test-Time Adaptation
BibRef
Yang, H.[Hao],
Pan, L.Y.[Li-Yuan],
Yang, Y.[Yan],
Liang, W.[Wei],
Language-driven All-in-one Adverse Weather Removal,
CVPR24(24902-24912)
IEEE DOI
2410
Degradation, Knowledge engineering, Adaptation models, Cognition,
Meteorology
BibRef
Zhao, S.[Shibo],
Gao, Y.J.[Yuan-Jun],
Wu, T.H.[Tian-Hao],
Singh, D.[Damanpreet],
Jiang, R.S.[Ru-Shan],
Sun, H.X.[Hao-Xiang],
Sarawata, M.[Mansi],
Qiu, Y.H.[Yu-Heng],
Whittaker, W.[Warren],
Higgins, I.[Ian],
Du, Y.[Yi],
Su, S.[Shaoshu],
Xu, C.[Can],
Keller, J.[John],
Karhade, J.[Jay],
Nogueira, L.[Lucas],
Saha, S.[Sourojit],
Zhang, J.[Ji],
Wang, W.[Wenshan],
Wang, C.[Chen],
Scherer, S.[Sebastian],
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments,
CVPR24(22647-22657)
IEEE DOI
2410
Measurement, Simultaneous localization and mapping, Scalability,
Multimodal sensors, Robot vision systems, Thermal sensors, Cameras,
Degraded Environments
BibRef
Shyam, P.[Pranjay],
Yoo, H.[HyunJin],
PAIR: Perception Aided Image Restoration for Natural Driving
Conditions,
WACV24(7444-7455)
IEEE DOI
2404
Degradation, Semantics, Neural networks, Real-time systems,
Image restoration, Computational efficiency,
Autonomous Driving
BibRef
Rothmeier, T.[Thomas],
Huber, W.[Werner],
Knoll, A.C.[Alois C.],
Time to Shine: Fine-Tuning Object Detection Models with Synthetic
Adverse Weather Images,
WACV24(4435-4444)
IEEE DOI
2404
Training, Rain, Pedestrians, Computational modeling, Snow,
Image edge detection, Algorithms, Datasets and evaluations,
Image recognition and understanding
BibRef
Shaik, F.A.[Furqan Ahmed],
Malreddy, A.R.[Abhishek Reddy],
Billa, N.R.[Nikhil Reddy],
Chaudhary, K.[Kunal],
Manchanda, S.[Sunny],
Varma, G.[Girish],
IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes
in Unstructured Traffic and Adverse Weather,
WACV24(4602-4611)
IEEE DOI Code:
WWW Link.
2404
Measurement, Rain, Semantic segmentation, Snow, Semantics,
Benchmark testing, Robustness, Algorithms,
Autonomous Driving
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Gupta, H.[Himanshu],
Kotlyar, O.[Oleksandr],
Andreasson, H.[Henrik],
Lilienthal, A.J.[Achim J.],
Robust Object Detection in Challenging Weather Conditions,
WACV24(7508-7517)
IEEE DOI
2404
Training, Surveillance, Noise reduction, Noise, Object detection,
Traffic control, Applications, Autonomous Driving, Algorithms,
Image recognition and understanding
BibRef
Ye, T.[Tian],
Chen, S.[Sixiang],
Bai, J.[Jinbin],
Shi, J.[Jun],
Xue, C.H.[Cheng-Hao],
Jiang, J.X.[Jing-Xia],
Yin, J.J.[Jun-Jie],
Chen, E.[Erkang],
Liu, Y.[Yun],
Adverse Weather Removal with Codebook Priors,
ICCV23(12619-12630)
IEEE DOI
2401
BibRef
Yang, Y.J.[Yi-Jun],
Aviles-Rivero, A.I.[Angelica I.],
Fu, H.Z.[Hua-Zhu],
Liu, Y.[Ye],
Wang, W.M.[Wei-Ming],
Zhu, L.[Lei],
Video Adverse-Weather-Component Suppression Network via Weather
Messenger and Adversarial Backpropagation,
ICCV23(13154-13164)
IEEE DOI
2401
BibRef
Patil, P.W.[Prashant W.],
Gupta, S.I.[Sun-Il],
Rana, S.[Santu],
Venkatesh, S.[Svetha],
Murala, S.[Subrahmanyam],
Multi-weather Image Restoration via Domain Translation,
ICCV23(21639-21648)
IEEE DOI Code:
WWW Link.
2401
BibRef
Sakaino, H.[Hidetomo],
Semantically Enhanced Scene Captions with Physical and Weather
Condition Changes,
AROW23(3656-3668)
IEEE DOI
2401
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Zhu, Y.R.[Yu-Rui],
Wang, T.Y.[Tian-Yu],
Fu, X.Y.[Xue-Yang],
Yang, X.Y.[Xuan-Yu],
Guo, X.[Xin],
Dai, J.F.[Ji-Feng],
Qiao, Y.[Yu],
Hu, X.W.[Xiao-Wei],
Learning Weather-General and Weather-Specific Features for Image
Restoration Under Multiple Adverse Weather Conditions,
CVPR23(21747-21758)
IEEE DOI
2309
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Marathe, A.[Aboli],
Prabhu, S.[Sanjana],
t-RAIN: Robust generalization under weather-aliasing label shift
attacks,
ABAW23(5845-5854)
IEEE DOI
2309
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Valanarasu, J.M.J.[Jeya Maria Jose],
Yasarla, R.[Rajeev],
Patel, V.M.[Vishal M.],
TransWeather: Transformer-based Restoration of Images Degraded by
Adverse Weather Conditions,
CVPR22(2343-2353)
IEEE DOI
2210
Degradation, Visualization, Codes, Machine vision, Snow, Transformers,
Image restoration, Vision applications and systems, Low-level vision
BibRef
Chen, W.T.[Wei-Ting],
Huang, Z.K.[Zhi-Kai],
Tsai, C.C.[Cheng-Che],
Yang, H.H.[Hao-Hsiang],
Ding, J.J.[Jian-Jiun],
Kuo, S.Y.[Sy-Yen],
Learning Multiple Adverse Weather Removal via Two-stage Knowledge
Learning and Multi-contrastive Regularization: Toward a Unified Model,
CVPR22(17632-17641)
IEEE DOI
2210
Training, Photography, Learning systems, Rain, Snow,
Low-level vision
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Yasarla, R.[Rajeev],
Sindagi, V.A.[Vishwanath A.],
Patel, V.M.[Vishal M.],
Unsupervised Restoration of Weather-affected Images using Deep
Gaussian Process-based CycleGAN,
ICPR22(1967-1974)
IEEE DOI
2212
Training, Gaussian processes, Object detection, Predictive models,
Image restoration, Task analysis
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Yasarla, R.[Rajeev],
Priebe, C.E.[Carey E.],
Patel, V.M.[Vishal M.],
ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration
for Adverse Weather-Affected Images,
ECCV22(XVIII:699-718).
Springer DOI
2211
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Qin, Q.P.[Qing-Pao],
Chang, K.[Kan],
Huang, M.Y.[Meng-Yuan],
Li, G.Q.[Gui-Qing],
Denet: Detection-driven Enhancement Network for Object Detection Under
Adverse Weather Conditions,
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Springer DOI
2307
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Xie, K.Z.[Ke-Zhen],
Huang, L.[Lei],
Zhang, W.F.[Wen-Feng],
Qin, Q.B.[Qi-Bing],
Wei, Z.Q.[Zhi-Qiang],
Learning to Classify Weather Conditions from Single Images Without
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MMMod22(I:57-68).
Springer DOI
2203
BibRef
Kulkarni, A.[Ashutosh],
Phutke, S.S.[Shruti S.],
Murala, S.[Subrahmanyam],
Unified Transformer Network for Multi-Weather Image Restoration,
AIM22(344-360).
Springer DOI
2304
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Chaturvedi, S.S.[Saket S.],
Zhang, L.[Lan],
Yuan, X.Y.[Xiao-Yong],
Pay 'Attention' to Adverse Weather:
Weather-aware Attention-based Object Detection,
ICPR22(4573-4579)
IEEE DOI
2212
Deep learning, Laser radar, Neural networks, Object detection,
Sensor fusion, Logic gates, Feature extraction, Object Detection,
Attention Neural Network
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Li, R.,
Tan, R.T.,
Cheong, L.,
All in One Bad Weather Removal Using Architectural Search,
CVPR20(3172-3182)
IEEE DOI
2008
Rain, Snow, Microprocessors, Degradation,
Image restoration
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Viriri, S.[Serestina],
Weather Characterization from Outdoor Scene Images,
ICCVG18(160-170).
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1810
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Webster, D.D.[Dereck D.],
Breckon, T.P.[Toby P.],
Improved raindrop detection using combined shape and saliency
descriptors with scene context isolation,
ICIP15(4376-4380)
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1512
all-weather computer vision
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Zhang, Z.[Zheng],
Ma, H.D.[Hua-Dong],
Multi-class weather classification on single images,
ICIP15(4396-4400)
IEEE DOI
1512
Multi-class weather classification
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Gehrig, S.,
Reznitskii, M.,
Schneider, N.,
Franke, U.,
Weickert, J.,
Priors for Stereo Vision under Adverse Weather Conditions,
AutoDrive13(238-245)
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1403
graph theory
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Kaneko, E.[Eiji],
Toda, M.[Masato],
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Daylight spectrum model under weather conditions from clear sky to
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A hybrid approach for a vision based driver assistance system with
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1205
Correct for the bad weather effects.
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Sluzek, A.[Andrzej],
Paradowski, M.[Mariusz],
Assessment of Visibility Quality in Adverse Weather and Illumination
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DAGM11(216-225).
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1109
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Feng, B.[Bin],
Shi, Z.L.[Ze-Lin],
PD Based Determination of Polarized Reflection Regions in Bad Weather,
CISP09(1-5).
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0910
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Grosso, E.[Enrico],
Tistarelli, M.[Massimo],
Automatic Detection of Adverse Weather Conditions in Traffic Scenes,
AVSBS08(273-279).
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0809
See also Commentary Paper 1 on Automatic Detection of Adverse Weather Conditions in Traffic Scenes.
See also Commentary Paper 2 on Automatic Detection of Adverse Weather Conditions in Traffic Scenes.
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Prati, A.[Andrea],
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AVSBS08(280-280).
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See also Automatic Detection of Adverse Weather Conditions in Traffic Scenes.
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Nicolescu, M.[Mircea],
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AVSBS08(281-282).
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0809
See also Automatic Detection of Adverse Weather Conditions in Traffic Scenes.
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Visibility in bad weather from a single image,
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IEEE DOI
0806
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Underwater Imaging, Color Correction, Restoration .