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Wen Lu
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2020 – today
- 2024
- [j92]Guipeng Lan, Shuai Xiao, Jiachen Yang, Jiabao Wen, Wen Lu, Xinbo Gao:
Active learning inspired method in generative models. Expert Syst. Appl. 249: 123582 (2024) - [j91]Guipeng Lan, Shuai Xiao, Jiachen Yang, Jiabao Wen, Wen Lu, Xinbo Gao:
Face swapping with adaptive exploration-fusion mechanism and dual en-decoding tactic. Expert Syst. Appl. 255: 124822 (2024) - [j90]Xin Xu, Wen Lu:
Digital Preservation and Network Security Protection: A Case Study of Landscape Painting in Ming Dynasty. J. Internet Serv. Inf. Secur. 14(4): 249-262 (2024) - [j89]Wen Lu, Minh Nguyen:
Enhancing Remote Sensing Image Retrieval: A Hierarchical Approach Integrating Visual and Semantic Similarities. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j88]Wen Lu, Xinyu Wang, Le Sun, Yuhui Zheng:
Spectral-Spatial Feature Extraction for Hyperspectral Image Classification Using Enhanced Transformer with Large-Kernel Attention. Remote. Sens. 16(1): 67 (2024) - [j87]Ziang Li, Wen Lu, Zhaoyang Wang, Jian Hu, Zeming Zhang, Lihuo He:
Multi-Window Fusion Spatial-Frequency Joint Self-Attention for Remote-Sensing Image Super-Resolution. Remote. Sens. 16(19): 3695 (2024) - [j86]Wen Lu, Lu Wei, Minh Nguyen:
Bitemporal Attention Transformer for Building Change Detection and Building Damage Assessment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4917-4935 (2024) - [j85]Wen Lu, Minh Nguyen:
A Lightweight Transformer With Multigranularity Tokens and Connected Component Loss for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j84]Wen Lu, Zhiqi Zhang, Minh Nguyen:
A Lightweight CNN-Transformer Network With Laplacian Loss for Low-Altitude UAV Imagery Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j83]Shuai Xiao, Guipeng Lan, Jiachen Yang, Wen Lu, Qinggang Meng, Xinbo Gao:
MCS-GAN: A Different Understanding for Generalization of Deep Forgery Detection. IEEE Trans. Multim. 26: 1333-1345 (2024) - [j82]Guipeng Lan, Shuai Xiao, Jiachen Yang, Yanshuang Zhou, Jiabao Wen, Wen Lu, Xinbo Gao:
Image Aesthetics Assessment Based on Hypernetwork of Emotion Fusion. IEEE Trans. Multim. 26: 3640-3650 (2024) - [j81]Jiachen Yang, Shukun Ma, Zhuo Zhang, Yang Li, Shuai Xiao, Jiabao Wen, Wen Lu, Xinbo Gao:
Say No to Redundant Information: Unsupervised Redundant Feature Elimination for Active Learning. IEEE Trans. Multim. 26: 7721-7733 (2024) - [j80]Bo Han, Lihuo He, Ying Yu, Wen Lu, Xinbo Gao:
General Deformable RoI Pooling and Semi-Decoupled Head for Object Detection. IEEE Trans. Multim. 26: 9410-9422 (2024) - [e3]Jing Li, Xinbo Gao, Patrick Le Callet, Lucjan Janowski, Wen Lu, Jiacheng Yang, Junle Wang, Jiabin Zhang:
Proceedings of the 3rd Workshop on Quality of Experience in Visual Multimedia Applications, QoEVMA2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1204-3 [contents] - [i10]Lvyang Zhang, Wen Lu, Yang Zhao, Jiaqi Li, Lidong Zhai:
Yuan: Research on the Concept of Digital World Analogue Scientific Infrastructure and Science Popularization Communication Based on Suzhou Gardens Pattern. CoRR abs/2410.10248 (2024) - 2023
- [j79]Wen Lu, Shu Liang:
Direct emotional interaction in prisoner's dilemma game. Appl. Math. Comput. 458: 128254 (2023) - [j78]Zehong Liang, Wen Lu, Yong Zheng, Weiquan He, Jiachen Yang:
The context effect for blind image quality assessment. Neurocomputing 521: 172-180 (2023) - [j77]Jiabao Wen, Meng Xi, Taiqiu Xiao, Jiachen Yang, Desheng Chen, Wen Lu, Xinbo Gao:
A deep semi-dense compression network for reinforcement learning based on information theory. Neurocomputing 530: 81-90 (2023) - [j76]Jiachen Yang, Zhuo Zhang, Shuai Xiao, Shukun Ma, Yang Li, Wen Lu, Xinbo Gao:
Efficient data-driven behavior identification based on vision transformers for human activity understanding. Neurocomputing 530: 104-115 (2023) - [j75]Wen Lu, G. N. Vivekananda, A. Shanthini:
Supervision system of english online teaching based on machine learning. Prog. Artif. Intell. 12(2): 187-198 (2023) - [j74]Yang Zhao, Shuai Xiao, Jiachen Yang, Wen Lu, Xinbo Gao:
No-reference quality index of tone-mapped images based on authenticity, preservation, and scene expressiveness. Signal Process. 203: 108782 (2023) - [j73]Zhiqi Zhang, Wen Lu, Xiaoxiao Feng, Jinshan Cao, Guangqi Xie:
A Discriminative Feature Learning Approach With Distinguishable Distance Metrics for Remote Sensing Image Classification and Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 889-901 (2023) - [j72]Jiachen Yang, Yanshuang Zhou, Yang Zhao, Wen Lu, Xinbo Gao:
MetaMP: Metalearning-Based Multipatch Image Aesthetics Assessment. IEEE Trans. Cybern. 53(9): 5716-5728 (2023) - [c57]Hanbo Zhang, Jiangxin Li, Shen Liang, Peng Wang, Themis Palpanas, Chen Wang, Wei Wang, Haoxuan Zhou, Jianwei Song, Wen Lu:
Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications. KDD 2023: 5532-5543 - 2022
- [j71]Zhiqi Zhang, Wen Lu, Jinshan Cao, Guangqi Xie:
MKANet: An Efficient Network with Sobel Boundary Loss for Land-Cover Classification of Satellite Remote Sensing Imagery. Remote. Sens. 14(18): 4514 (2022) - [j70]Dong Liang, Xinbo Gao, Wen Lu, Jie Li:
Systemic distortion analysis with deep distortion directed image quality assessment models. Signal Process. Image Commun. 109: 116870 (2022) - [j69]Jiachen Yang, Shuai Xiao, Aiyun Li, Wen Lu, Xinbo Gao, Yang Li:
MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4854-4866 (2022) - [j68]Jiachen Yang, Yang Zhao, Jiacheng Liu, Bin Jiang, Qinggang Meng, Wen Lu, Xinbo Gao:
No Reference Quality Assessment for Screen Content Images Using Stacked Autoencoders in Pictorial and Textual Regions. IEEE Trans. Cybern. 52(5): 2798-2810 (2022) - [j67]Kyohoon Sim, Jiachen Yang, Wen Lu, Xinbo Gao:
Blind Stereoscopic Image Quality Evaluator Based on Binocular Semantic and Quality Channels. IEEE Trans. Multim. 24: 1389-1398 (2022) - [c56]Shanshan Wu, Wen Lu, Kezhang Lin, Xiang Lu, Dong Jin:
Magic Mirror by Bidirectional GAN: A Video Data Theft-Proof Framework. ICC 2022: 2059-2064 - [c55]Jiaxu Leng, Mingpi Tan, Xinbo Gao, Wen Lu, Zongyi Xu:
Anomaly Warning: Learning and Memorizing Future Semantic Patterns for Unsupervised Ex-ante Potential Anomaly Prediction. ACM Multimedia 2022: 6746-6754 - [c54]Jing Li, Patrick Le Callet, Xinbo Gao, Zhi Li, Wen Lu, Jiachen Yang, Junle Wang:
QoEVMA'22: 2nd Workshop on Quality of Experience (QoE) in Visual Multimedia Applications. ACM Multimedia 2022: 7423-7425 - [e2]Jing Li, Xinbo Gao, Patrick Le Callet, Zhi Li, Wen Lu, Jiachen Yang, Junle Wang:
QoEVMA@MM 2022: Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications, Lisboa, Portugal, 14 October 2022. ACM 2022, ISBN 978-1-4503-9499-4 [contents] - [i9]Jiachen Yang, Zhuo Zhang, Yicheng Gong, Shukun Ma, Xiaolan Guo, Yue Yang, Shuai Xiao, Jiabao Wen, Yang Li, Xinbo Gao, Wen Lu, Qinggang Meng:
Do Deep Neural Networks Always Perform Better When Eating More Data? CoRR abs/2205.15187 (2022) - [i8]Zhiqi Zhang, Wen Lu, Jinshan Cao, Guangqi Xie:
MKANet: A Lightweight Network with Sobel Boundary Loss for Efficient Land-cover Classification of Satellite Remote Sensing Imagery. CoRR abs/2207.13866 (2022) - 2021
- [j66]Xiaodan Zhang, Xinbo Gao, Lihuo He, Wen Lu:
MSCAN: Multimodal Self-and-Collaborative Attention Network for image aesthetic prediction tasks. Neurocomputing 430: 14-23 (2021) - [j65]Dong Liang, Xinbo Gao, Wen Lu, Jie Li:
Deep blind image quality assessment based on multiple instance regression. Neurocomputing 431: 78-89 (2021) - [j64]Yu Zhang, Lihuo He, Wen Lu, Jie Li, Xinbo Gao:
Video quality assessment with dense features and ranking pooling. Neurocomputing 457: 242-253 (2021) - [j63]Lize Zhang, Wen Lu, Yuanfei Huang, Xiaopeng Sun, Hongyi Zhang:
Unpaired Remote Sensing Image Super-Resolution with Multi-Stage Aggregation Networks. Remote. Sens. 13(16): 3167 (2021) - [j62]Jiachen Yang, Zilin Bian, Yang Zhao, Wen Lu, Xinbo Gao:
Staged-Learning: Assessing the Quality of Screen Content Images from Distortion Information. IEEE Signal Process. Lett. 28: 1480-1484 (2021) - [j61]Jiachen Yang, Zilin Bian, Yang Zhao, Wen Lu, Xinbo Gao:
Full-Reference Quality Assessment for Screen Content Images Based on the Concept of Global-Guidance and Local-Adjustment. IEEE Trans. Broadcast. 67(3): 696-709 (2021) - [j60]Jiachen Yang, Aiyun Li, Shuai Xiao, Wen Lu, Xinbo Gao:
MTD-Net: Learning to Detect Deepfakes Images by Multi-Scale Texture Difference. IEEE Trans. Inf. Forensics Secur. 16: 4234-4245 (2021) - [j59]Yuanfei Huang, Jie Li, Xinbo Gao, Yanting Hu, Wen Lu:
Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution. IEEE Trans. Image Process. 30: 2325-2339 (2021) - [j58]Jiachen Yang, Zilin Bian, Jiacheng Liu, Bin Jiang, Wen Lu, Xinbo Gao, Houbing Song:
No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network. IEEE Trans. Image Process. 30: 6801-6814 (2021) - [j57]Xiaodan Zhang, Xinbo Gao, Wen Lu, Lihuo He, Jie Li:
Beyond Vision: A Multimodal Recurrent Attention Convolutional Neural Network for Unified Image Aesthetic Prediction Tasks. IEEE Trans. Multim. 23: 611-623 (2021) - [j56]Jiachen Yang, Tianlin Liu, Bin Jiang, Wen Lu, Qinggang Meng:
Panoramic Video Quality Assessment Based on Non-Local Spherical CNN. IEEE Trans. Multim. 23: 797-809 (2021) - [j55]Kyohoon Sim, Jiachen Yang, Wen Lu, Xinbo Gao:
MaD-DLS: Mean and Deviation of Deep and Local Similarity for Image Quality Assessment. IEEE Trans. Multim. 23: 4037-4048 (2021) - [c53]Wen Lu, Yulu Ouyang:
Research on the Inheritance and Innovation Path of Intangible Cultural Heritage from the Perspective of Consumer Sociology - - Take Changsha Kiln as an Example. HCI (12) 2021: 56-67 - [i7]Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao, Wen Lu:
Transitive Learning: Exploring the Transitivity of Degradations for Blind Super-Resolution. CoRR abs/2103.15290 (2021) - [i6]Hongwei Chen, Wen Lu:
Regularized Deep Linear Discriminant Analysis. CoRR abs/2105.07129 (2021) - 2020
- [j54]Jiachen Yang, Bin Jiang, Houbing Song, Xiahan Yang, Wen Lu, Hehan Liu:
Corrections to "No-Reference Stereoimage Quality Assessment for Multimedia Analysis Towards Internet-of-Things". IEEE Access 8: 127883 (2020) - [j53]Huijin Yang, Yong Ren, Wen Lu:
Stabilisation of stochastic differential equations driven by G-Brownian motion via aperiodically intermittent control. Int. J. Control 93(3): 565-574 (2020) - [j52]Dong Liang, Xinbo Gao, Wen Lu, Lihuo He:
Deep multi-label learning for image distortion identification. Signal Process. 172: 107536 (2020) - [j51]Ziheng Zhou, Wen Lu, Jiachen Yang, Weiquan He:
No-reference image quality assessment based on neighborhood co-occurrence matrix. Signal Process. Image Commun. 81 (2020) - [j50]Jiachen Yang, Vanhung Nguyen, Kyohoon Sim, Yang Zhao, Wen Lu:
3-D Visual Discomfort Assessment Considering Optical and Neural Attention Models. IEEE Trans. Broadcast. 66(2): 279-291 (2020) - [j49]Jiachen Yang, Yang Zhao, Bin Jiang, Qinggang Meng, Wen Lu, Xinbo Gao:
No-Reference Quality Assessment of Stereoscopic Videos With Inter-Frame Cross on a Content-Rich Database. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3608-3623 (2020) - [j48]Bin Jiang, Jiachen Yang, Qinggang Meng, Baihua Li, Wen Lu:
A Deep Evaluator for Image Retargeting Quality by Geometrical and Contextual Interaction. IEEE Trans. Cybern. 50(1): 87-99 (2020) - [j47]Jiachen Yang, Yang Zhao, Bin Jiang, Wen Lu, Xinbo Gao:
No-Reference Quality Evaluation of Stereoscopic Video Based on Spatio-Temporal Texture. IEEE Trans. Multim. 22(10): 2635-2644 (2020) - [j46]Jiachen Yang, Jiabao Man, Meng Xi, Xinbo Gao, Wen Lu, Qinggang Meng:
Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2030-2041 (2020) - [j45]Yu Zhang, Xinbo Gao, Lihuo He, Wen Lu, Ran He:
Objective Video Quality Assessment Combining Transfer Learning With CNN. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2716-2730 (2020) - [c52]Linzi Qu, Lihuo He, Junji Ke, Xinbo Gao, Wen Lu:
Learning More Accurate Features for Semantic Segmentation in CycleNet. ACCV (1) 2020: 571-584 - [c51]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops 2020: 2045-2057 - [c50]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c49]Wen Lu:
Applying Deep Learning in Creative Re-creation of Changsha Kiln Cultural Relics. HCI (23) 2020: 558-568 - [c48]Xiao Bai, Wen Lu, Rong Zhang:
Measurement and Analysis of Industrial Structure Order in Kashgar City Circle Based on Order Model of Industrial Structure. ICCMB 2020: 253-260 - [c47]Hongyi Zhang, Wen Lu, Xiaopeng Sun:
Cross-layer Information Refining Network for Single Image Super-Resolution. ICPR 2020: 1635-1640 - [c46]Gang Long, Wen Lu, Lin Zha, Hongyi Zhang:
PHC-GAN: Physical Constraint Generative Adversarial Network for Single Image Dehazing. ICTAI 2020: 545-549 - [c45]Xinbo Gao, Patrick Le Callet, Jing Li, Zhi Li, Wen Lu, Jiachen Yang:
QoEVMA'20: 1st Workshop on Quality of Experience (QoE) in Visual Multimedia Applications. ACM Multimedia 2020: 4771-4772 - [e1]Xinbo Gao, Patrick Le Callet, Jing Li, Zhi Li, Wen Lu, Jiachen Yang:
QoEVMA'20: Proceedings of the 1st Workshop on Quality of Experience (QoE) in Visual Multimedia Applications, Seattle, WA, USA, October 16, 2020. ACM 2020, ISBN 978-1-4503-8158-1 [contents] - [i5]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR abs/2005.01056 (2020) - [i4]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i3]Yuanfei Huang, Jie Li, Xinbo Gao, Yanting Hu, Wen Lu:
Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution. CoRR abs/2009.13134 (2020)
2010 – 2019
- 2019
- [j44]Jiabao Man, Gen Li, Meng Xi, Yutian Lei, Wen Lu, Xinbo Gao:
MFNN: Position and Attitude Measurement Neural Network Based on Multi-Feature Fusion. IEEE Access 7: 109495-109505 (2019) - [j43]Lihuo He, Yanzhe Zhong, Wen Lu, Xinbo Gao:
A Visual Residual Perception Optimized Network for Blind Image Quality Assessment. IEEE Access 7: 176087-176098 (2019) - [j42]Furui Bai, Wen Lu, Yuanfei Huang, Lin Zha, Jiachen Yang:
Densely convolutional attention network for image super-resolution. Neurocomputing 368: 25-33 (2019) - [j41]Jiachen Yang, Yang Zhao, Yinghao Zhu, Huifang Xu, Wen Lu, Qinggang Meng:
Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network. Inf. Sci. 474: 1-17 (2019) - [j40]Wen Lu, Ran He, Jiachen Yang, Changcheng Jia, Xinbo Gao:
A spatiotemporal model of video quality assessment via 3D gradient differencing. Inf. Sci. 478: 141-151 (2019) - [j39]Jiachen Yang, Huifang Xu, Yang Zhao, Hehan Liu, Wen Lu:
Stereoscopic image quality assessment combining statistical features and binocular theory. Pattern Recognit. Lett. 127: 48-55 (2019) - [j38]Xiaodan Zhang, Xinbo Gao, Wen Lu, Ying Yu, Lihuo He:
Fusion global and local deep representations with neural attention for aesthetic quality assessment. Signal Process. Image Commun. 78: 42-50 (2019) - [j37]Jiachen Yang, Zhihui Huang, Kyohoon Sim, Wen Lu, Kai Liu, Hehan Liu:
No-reference image quality assessment focusing on human facial region. Signal Process. Image Commun. 78: 51-61 (2019) - [j36]Yu Zhang, Xinbo Gao, Lihuo He, Wen Lu, Ran He:
Blind Video Quality Assessment With Weakly Supervised Learning and Resampling Strategy. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2244-2255 (2019) - [j35]Jiachen Yang, Kyohoon Sim, Xinbo Gao, Wen Lu, Qinggang Meng, Baihua Li:
A Blind Stereoscopic Image Quality Evaluator With Segmented Stacked Autoencoders Considering the Whole Visual Perception Route. IEEE Trans. Image Process. 28(3): 1314-1328 (2019) - [j34]Jiachen Yang, Kyohoon Sim, Wen Lu, Bin Jiang:
Predicting Stereoscopic Image Quality via Stacked Auto-Encoders Based on Stereopsis Formation. IEEE Trans. Multim. 21(7): 1750-1761 (2019) - [j33]Xiaodan Zhang, Xinbo Gao, Wen Lu, Lihuo He:
A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction. IEEE Trans. Multim. 21(11): 2815-2826 (2019) - [c44]Rigao Yin, Ligu Zhu, Wen Lu:
Research on the Fine-tuning Technology Based on Faster R-CNN. ICIS 2019: 348-351 - [c43]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c42]Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao:
Un-Paired Real World Super-Resolution with Degradation Consistency. ICCV Workshops 2019: 3458-3466 - [c41]Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583 - [c40]Furui Bai, Wen Lu, Lin Zha, Xiaopeng Sun, Ruoxuan Guan:
Non-Local Hierarchical Residual Network for Single Image Super-Resolution. ICIP 2019: 2821-2825 - [c39]Yuanfei Huang, Jie Li, Xinbo Gao, Wen Lu, Yanting Hu:
Improving Image Super-Resolution via Feature Re-Balancing Fusion. ICME 2019: 580-585 - [c38]Xiaopeng Sun, Wen Lu, Rui Wang, Furui Bai:
Distilling with Residual Network for Single Image Super Resolution. ICME 2019: 1180-1185 - [c37]Xiaodan Zhang, Xinbo Gao, Wen Lu, Ying Yu, Lihuo He:
Unified Image Aesthetic Prediction via Scanpath-Guided Feature Aggregation Network. HBAI@IJCAI 2019: 259-271 - [c36]Tianyan Wu, Lihuo He, Hongxia Cai, Wen Lu, Xinbo Gao:
Influence of significant target on image quality assessment via EEG. ISPACS 2019: 1-2 - [c35]Yi Zhang, Linzi Qu, Lihuo He, Wen Lu, Xinbo Gao:
Beauty Aware Network: An Unsupervised Method for Makeup Product Retrieval. ACM Multimedia 2019: 2558-2562 - [c34]Ziheng Zhou, Wen Lu, Jiachen Yang, Shishuai Han:
No-Reference Image Quality Assessment via Multi-order Perception Similarity. PRCV (2) 2019: 607-619 - [c33]Ruoxuan Guan, Wen Lu, Weiquan He, Furui Bai:
Deep quad path quality evaluator combined aesthetic estimation for Multi-exposure image fusion. VCIP 2019: 1-4 - [c32]Weiquan He, Xinbo Gao, Wen Lu, Ruoxuan Guan:
Weakly Supervised Learning for Blind Image Quality Assessment. VCIP 2019: 1-4 - [i2]Xiaopeng Sun, Wen Lu, Rui Wang, Furui Bai:
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