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2020 – today
- 2022
[j93]Xinya Wang
, Jiayi Ma, Peng Yi, Xin Tian, Junjun Jiang, Xiao-Ping Zhang:
Learning an epipolar shift compensation for light field image super-resolution. Inf. Fusion 79: 188-199 (2022)- [j92]Xinya Wang, Jiayi Ma, Junjun Jiang, Xiao-Ping Zhang:
Dilated projection correction network based on autoencoder for hyperspectral image super-resolution. Neural Networks 146: 107-119 (2022) - [j91]Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, Haibin Ling:
U2Fusion: A Unified Unsupervised Image Fusion Network. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 502-518 (2022) - [j90]Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Jiayi Ma:
A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2264-2280 (2022) - [j89]Xinya Wang, Jiayi Ma, Junjun Jiang:
Hyperspectral Image Super-Resolution via Recurrent Feedback Embedding and Spatial-Spectral Consistency Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j88]Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai:
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j87]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion. IEEE Trans. Image Process. 31: 648-663 (2022) - [j86]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution. IEEE Trans. Image Process. 31: 2950-2961 (2022) - [j85]Kui Jiang, Zhongyuan Wang, Peng Yi, Tao Lu, Junjun Jiang, Zixiang Xiong:
Dual-Path Deep Fusion Network for Face Image Hallucination. IEEE Trans. Neural Networks Learn. Syst. 33(1): 378-391 (2022) - [j84]Junjun Jiang, Jiayi Ma, Xianming Liu:
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(2): 839-852 (2022) - [j83]Deming Zhai, Ruifeng Shi, Junjun Jiang, Xianming Liu:
Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 30:1-30:17 (2022) - [j82]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Fully Unsupervised Person Re-Identification via Selective Contrastive Learning. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 64:1-64:15 (2022) - [i32]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CoRR abs/2203.03818 (2022) - [i31]Yiqi Zhong, Lei Wu, Xianming Liu, Junjun Jiang:
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness. CoRR abs/2203.05323 (2022) - [i30]Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation. CoRR abs/2203.14211 (2022) - [i29]Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. CoRR abs/2204.00987 (2022) - [i28]Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. CoRR abs/2204.08196 (2022) - [i27]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training. CoRR abs/2204.11590 (2022) - 2021
- [j81]Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan:
Image Matching from Handcrafted to Deep Features: A Survey. Int. J. Comput. Vis. 129(1): 23-79 (2021) - [j80]Hao Zhang, Han Xu, Xin Tian, Junjun Jiang, Jiayi Ma:
Image fusion meets deep learning: A survey and perspective. Inf. Fusion 76: 323-336 (2021) - [j79]Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Xiaofen Wang, Junjun Jiang, Zixiang Xiong:
Multi-Level Memory Compensation Network for Rain Removal via Divide-and-Conquer Strategy. IEEE J. Sel. Top. Signal Process. 15(2): 216-228 (2021) - [j78]Xinya Wang, Jiayi Ma, Wenjing Gao, Junjun Jiang:
MPIN: a macro-pixel integration network for light field super-resolution. Frontiers Inf. Technol. Electron. Eng. 22(10): 1299-1310 (2021) - [j77]Junjun Jiang, Qing Ma, Xingyu Jiang, Jiayi Ma:
Ranking list preservation for feature matching. Pattern Recognit. 111: 107665 (2021) - [j76]Qiang Li, Xianming Liu, Junjun Jiang, Cheng Guo, Xiangyang Ji, Xiaolin Wu:
Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing. IEEE Trans. Computational Imaging 7: 124-136 (2021) - [j75]Jiayi Ma, Zhuliang Le, Xin Tian, Junjun Jiang:
SMFuse: Multi-Focus Image Fusion Via Self-Supervised Mask-Optimization. IEEE Trans. Computational Imaging 7: 309-320 (2021) - [j74]Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zhen Han, Tao Lu, Baojin Huang, Junjun Jiang:
Decomposition Makes Better Rain Removal: An Improved Attention-Guided Deraining Network. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3981-3995 (2021) - [j73]Han Xu, Jiayi Ma, Zhenfeng Shao, Hao Zhang, Junjun Jiang, Xiaojie Guo:
SDPNet: A Deep Network for Pan-Sharpening With Enhanced Information Representation. IEEE Trans. Geosci. Remote. Sens. 59(5): 4120-4134 (2021) - [j72]Liang Chen, Jinshan Pan, Junjun Jiang, Jiawei Zhang, Zhen Han, Linchao Bao:
Multi-Stage Degradation Homogenization for Super-Resolution of Face Images With Extreme Degradations. IEEE Trans. Image Process. 30: 5600-5612 (2021) - [j71]Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zheng Wang, Xiao Wang, Junjun Jiang, Chia-Wen Lin:
Rain-Free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining. IEEE Trans. Image Process. 30: 7404-7418 (2021) - [c80]Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji:
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. CVPR 2021: 10523-10531 - [c79]Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. ICCV 2021: 72-81 - [c78]Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma:
Omniscient Video Super-Resolution. ICCV 2021: 4409-4418 - [c77]Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
Zero-Shot Multi-Focus Image Fusion. ICME 2021: 1-6 - [c76]Chenyang Wang, Junjun Jiang, Xianming Liu:
Heatmap-Aware Pyramid Face Hallucination. ICME 2021: 1-6 - [c75]Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji:
Asymmetric Loss Functions for Learning with Noisy Labels. ICML 2021: 12846-12856 - [c74]Jiliang Yan, Deming Zhai, Junjun Jiang, Xianming Liu:
Target-guided Adaptive Base Class Reweighting for Few-Shot Learning. ACM Multimedia 2021: 5335-5343 - [c73]Tao Lu, Yuanzhi Wang, Yanduo Zhang, Yu Wang, Wei Liu, Zhongyuan Wang, Junjun Jiang:
Face Hallucination via Split-Attention in Split-Attention Network. ACM Multimedia 2021: 5501-5509 - [c72]Ziqian Liu, Qing Ma, Junjun Jiang, Xianming Liu:
Improving Hyperspectral Super-Resolution via Heterogeneous Knowledge Distillation. MMAsia 2021: 29:1-29:7 - [i26]Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. CoRR abs/2101.03749 (2021) - [i25]Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma:
Omniscient Video Super-Resolution. CoRR abs/2103.15683 (2021) - [i24]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion. CoRR abs/2104.01530 (2021) - [i23]Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08630 (2021) - [i22]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring. CoRR abs/2105.14766 (2021) - [i21]Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji:
Asymmetric Loss Functions for Learning with Noisy Labels. CoRR abs/2106.03110 (2021) - [i20]Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. CoRR abs/2108.00192 (2021) - [i19]Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma:
Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. CoRR abs/2108.13584 (2021) - [i18]Yuanzhi Wang, Tao Lu, Yanduo Zhang, Junjun Jiang, Jiaming Wang, Zhongyuan Wang, Jiayi Ma:
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network. CoRR abs/2109.08174 (2021) - [i17]Jialei Xu, Yuanchao Bai, Xianming Liu, Junjun Jiang, Xiangyang Ji:
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data. CoRR abs/2109.11573 (2021) - [i16]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution. CoRR abs/2111.13923 (2021) - [i15]Gang Wu, Junjun Jiang, Xianming Liu, Jiayi Ma:
A Practical Contrastive Learning Framework for Single Image Super-Resolution. CoRR abs/2111.13924 (2021) - [i14]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations. CoRR abs/2112.04680 (2021) - [i13]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Deep Attentional Guided Image Filtering. CoRR abs/2112.06401 (2021) - [i12]Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. CoRR abs/2112.09300 (2021) - 2020
- [j70]Tao Lu, Jiaming Wang, Junjun Jiang, Yanduo Zhang:
Global-local fusion network for face super-resolution. Neurocomputing 387: 309-320 (2020) - [j69]Jiayi Ma, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu, Junjun Jiang:
Infrared and visible image fusion via detail preserving adversarial learning. Inf. Fusion 54: 85-98 (2020) - [j68]Jiayi Ma, Wei Yu, Chen Chen, Pengwei Liang, Xiaojie Guo, Junjun Jiang:
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion. Inf. Fusion 62: 110-120 (2020) - [j67]Liang Chen, Qing Li, Junjun Jiang:
Noisy practical facial super-resolution method via deformable constrained model with small dataset. Multim. Tools Appl. 79(3-4): 2577-2600 (2020) - [j66]Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang:
Hierarchical dense recursive network for image super-resolution. Pattern Recognit. 107: 107475 (2020) - [j65]Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. IEEE Trans. Computational Imaging 6: 1082-1096 (2020) - [j64]Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa:
Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing Learning. IEEE Trans. Cybern. 50(1): 324-337 (2020) - [j63]Junjun Jiang, Yi Yu, Zheng Wang, Suhua Tang, Ruimin Hu, Jiayi Ma:
Ensemble Super-Resolution With a Reference Dataset. IEEE Trans. Cybern. 50(11): 4694-4708 (2020) - [j62]Qingming Leng, Haiou Yang, Junjun Jiang, Qi Tian:
Adaptive MultiScale Segmentations for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(8): 5847-5860 (2020) - [j61]Jiayi Ma, Xinya Wang, Junjun Jiang:
Image Superresolution via Dense Discriminative Network. IEEE Trans. Ind. Electron. 67(7): 5687-5695 (2020) - [j60]Xingyu Jiang, Jiayi Ma, Junjun Jiang, Xiaojie Guo:
Robust Feature Matching Using Spatial Clustering With Heavy Outliers. IEEE Trans. Image Process. 29: 736-746 (2020) - [j59]Zheng Wang, Junjun Jiang, Yang Wu, Mang Ye, Xiang Bai, Shin'ichi Satoh:
Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification. IEEE Trans. Image Process. 29: 2013-2025 (2020) - [j58]Jiayi Ma, Han Xu, Junjun Jiang, Xiaoguang Mei, Xiao-Ping (Steven) Zhang:
DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion. IEEE Trans. Image Process. 29: 4980-4995 (2020) - [j57]Liang Chen, Jinshan Pan, Junjun Jiang, Jiawei Zhang, Yi Wu:
Robust Face Super-Resolution via Position Relation Model Based on Global Face Context. IEEE Trans. Image Process. 29: 9002-9016 (2020) - [j56]Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Ke Gu, Junjun Jiang:
ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination. IEEE Trans. Multim. 22(10): 2734-2747 (2020) - [c71]Han Xu, Jiayi Ma, Zhuliang Le, Junjun Jiang, Xiaojie Guo:
FusionDN: A Unified Densely Connected Network for Image Fusion. AAAI 2020: 12484-12491 - [c70]Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang:
Multi-Scale Progressive Fusion Network for Single Image Deraining. CVPR 2020: 8343-8352 - [c69]Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma:
Geometric Estimation via Robust Subspace Recovery. ECCV (22) 2020: 462-478 - [c68]Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu:
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. ICASSP 2020: 2518-2522 - [c67]Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Yuhong Yang, Xin Tian, Junjun Jiang:
Attention-Guided Deraining Network Via Stage-Wise Learning. ICASSP 2020: 2618-2622 - [c66]Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. ICASSP 2020: 2668-2672 - [c65]Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang:
Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. ICIP 2020: 2366-2370 - [c64]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. ACM Multimedia 2020: 375-383 - [c63]Yi Yu, Florian Harscoët, Simon Canales, Gurunath Reddy M, Suhua Tang, Junjun Jiang:
Lyrics-Conditioned Neural Melody Generation. MMM (2) 2020: 709-714 - [c62]Yifeng Wang, Hanguang Yao, Liangpeng Wan, Hua Li, Junjun Jiang, Yun Zhang, Fangmin Wu, Junfeng Chen, Xingsi Xue, Cai Dai:
Optimizing Hydrography Ontology Alignment Through Compact Particle Swarm Optimization Algorithm. ICSI 2020: 151-162 - [i11]Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising. CoRR abs/2003.01947 (2020) - [i10]Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. CoRR abs/2003.07603 (2020) - [i9]Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang:
Multi-Scale Progressive Fusion Network for Single Image Deraining. CoRR abs/2003.10985 (2020) - [i8]Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. CoRR abs/2005.08752 (2020) - [i7]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. CoRR abs/2006.05049 (2020) - [i6]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Unsupervised Constrative Person Re-identification. CoRR abs/2010.07608 (2020)
2010 – 2019
- 2019
- [j55]Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang:
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access 7: 33778-33786 (2019) - [j54]Qi Zheng, Jun Chen, Zhongyuan Wang, Junjun Jiang, Chao Liang:
Deep Segmentation Domain Adaptation Network With Weighted Boundary Constraint. IEEE Access 7: 93909-93918 (2019) - [j53]Zhikun Chen, Junjun Jiang, Chong Zhou, Shaoyuan Fu, Zhihua Cai:
SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images. IEEE Access 7: 147796-147807 (2019) - [j52]Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou, Xiaojie Guo:
Locality Preserving Matching. Int. J. Comput. Vis. 127(5): 512-531 (2019) - [j51]Jiayi Ma, Wei Yu, Pengwei Liang, Chang Li, Junjun Jiang:
FusionGAN: A generative adversarial network for infrared and visible image fusion. Inf. Fusion 48: 11-26 (2019) - [j50]Junjun Jiang, Jiayi Ma, Suhua Tang, Yi Yu, Kiyoharu Aizawa:
Face hallucination through differential evolution parameter map learning with facial structure prior. Inf. Sci. 481: 174-188 (2019) - [j49]Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai:
Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 16(5): 781-785 (2019) - [j48]Li Peng, Yanduo Zhang, Huabing Zhou, Junjun Jiang, Jiayi Ma:
A non-parametric depth modification model for registration between color and depth images. Multidimens. Syst. Signal Process. 30(3): 1129-1148 (2019) - [j47]Jiayi Ma, Xingyu Jiang, Junjun Jiang, Yuan Gao:
Feature-guided Gaussian mixture model for image matching. Pattern Recognit. 92: 231-245 (2019) - [j46]Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai:
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. 11(1): 29 (2019) - [j45]Qingming Leng, Haiou Yang, Junjun Jiang:
Label Noise Cleansing with Sparse Graph for Hyperspectral Image Classification. Remote. Sens. 11(9): 1116 (2019) - [j44]Tao Lu, Jiaming Wang, Yanduo Zhang, Zhongyuan Wang, Junjun Jiang:
Satellite Image Super-Resolution via Multi-Scale Residual Deep Neural Network. Remote. Sens. 11(13): 1588 (2019) - [j43]Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu:
Hyperspectral Image Classification in the Presence of Noisy Labels. IEEE Trans. Geosci. Remote. Sens. 57(2): 851-865 (2019) - [j42]Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Tao Lu, Junjun Jiang:
Edge-Enhanced GAN for Remote Sensing Image Superresolution. IEEE Trans. Geosci. Remote. Sens. 57(8): 5799-5812 (2019) - [j41]Xingyu Jiang, Junjun Jiang, Aoxiang Fan, Zhongyuan Wang, Jiayi Ma:
Multiscale Locality and Rank Preservation for Robust Feature Matching of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(9): 6462-6472 (2019) - [j40]Junjun Jiang, Yi Yu, Zheng Wang, Xianming Liu, Jiayi Ma:
Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis. IEEE Trans. Image Process. 28(2): 628-641 (2019) - [j39]Zhongyuan Wang, Peng Yi, Kui Jiang, Junjun Jiang, Zhen Han, Tao Lu, Jiayi Ma:
Multi-Memory Convolutional Neural Network for Video Super-Resolution. IEEE Trans. Image Process. 28(5): 2530-2544 (2019) - [j38]Jiayi Ma, Xingyu Jiang, Junjun Jiang, Ji Zhao, Xiaojie Guo:
LMR: Learning a Two-Class Classifier for Mismatch Removal. IEEE Trans. Image Process. 28(8): 4045-4059 (2019) - [j37]Weijian Ruan, Jun Chen, Yi Wu, Jinqiao Wang, Chao Liang, Ruimin Hu, Junjun Jiang:
Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking. IEEE Trans. Multim. 21(5): 1122-1134 (2019) - [j36]Zheng Wang, Junjun Jiang, Yi Yu, Shin'ichi Satoh:
Incremental Re-Identification by Cross-Direction and Cross-Ranking Adaption. IEEE Trans. Multim. 21(9): 2376-2386 (2019) - [j35]Zengmin Xu, Ruimin Hu, Jun Chen, Chen Chen, Junjun Jiang, Jiaofen Li, Hongyang Li:
Semisupervised Discriminant Multimanifold Analysis for Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2951-2962 (2019) - [j34]Jiayi Ma, Jia Wu, Ji Zhao, Junjun Jiang, Huabing Zhou, Quan Z. Sheng:
Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3584-3597 (2019) - [c61]Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, A. Murat Tekalp, M. Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c60]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c59]