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2020 – today
- 2023
[j106]Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. ACM Comput. Surv. 55(2): 13:1-13:36 (2023)- [j105]Xinya Wang
, Jiayi Ma, Junjun Jiang:
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network. IEEE CAA J. Autom. Sinica 10(1): 78-89 (2023) - [j104]Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
ZMFF: Zero-shot multi-focus image fusion. Inf. Fusion 92: 127-138 (2023) - [j103]Chen Ma, Junjun Jiang, Huayi Li, Wenxue Cui, Guoyuan Li:
Progressive Token Reduction and Compensation for Hyperspectral Image Representation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [i42]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Guided Depth Map Super-resolution: A Survey. CoRR abs/2302.09598 (2023) - [i41]Zhenyu Li, Zhipeng Zhang, Heng Fan, Yuan He, Ke Wang, Xianming Liu, Junjun Jiang:
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection. CoRR abs/2303.11243 (2023) - 2022
- [j102]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring. IEEE CAA J. Autom. Sinica 9(5): 878-892 (2022) - [j101]Kaining Zhang, Jiayi Ma, Junjun Jiang:
Loop Closure Detection With Reweighting NetVLAD and Local Motion and Structure Consensus. IEEE CAA J. Autom. Sinica 9(6): 1087-1090 (2022) - [j100]Zhenyu Li, Junjun Jiang, Xianming Liu:
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. IEEE CAA J. Autom. Sinica 9(7): 1307-1310 (2022) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]Xi Gong, Feng Yao, Jiayi Ma, Junjun Jiang, Tao Lu, Yanduo Zhang, Huabing Zhou:
Feature Matching for Remote-Sensing Image Registration via Neighborhood Topological and Affine Consistency. Remote. Sens. 14(11): 2606 (2022) - [j94]Chen Ma, Junjun Jiang, Huayi Li, Xiaoguang Mei, Chengchao Bai:
Hyperspectral Image Classification via Spectral Pooling and Hybrid Transformer. Remote. Sens. 14(19): 4732 (2022) - [j93]Xinya Wang, Yingsong Cheng, Xiaoguang Mei, Junjun Jiang, Jiayi Ma:
Group Shuffle and Spectral-Spatial Fusion for Hyperspectral Image Super-Resolution. IEEE Trans. Computational Imaging 8: 1223-1236 (2022) - [j92]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu:
Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7317-7331 (2022) - [j91]Xinya Wang, Qian Hu, Junjun Jiang, Jiayi Ma:
A Group-Based Embedding Learning and Integration Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]Jiayi Ma, Chengli Peng, Xin Tian, Junjun Jiang:
DBDnet: A Deep Boosting Strategy for Image Denoising. IEEE Trans. Multim. 24: 3157-3168 (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) - [c100]Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. AAAI 2022: 104-112 - [c99]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. AAAI 2022: 1500-1508 - [c98]Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji:
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. AAAI 2022: 3446-3453 - [c97]Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma:
From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. CVPR Workshops 2022: 266-275 - [c96]Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang:
Thermal Image Super-Resolution Challenge Results - PBVS 2022. CVPR Workshops 2022: 417-425 - [c95]Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang:
NTIRE 2022 Image Inpainting Challenge: Report. CVPR Workshops 2022: 1149-1181 - [c94]Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CVPR Workshops 2022: 1300-1309 - [c93]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. CVPR 2022: 1989-1997 - [c92]Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang:
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning. CVPR 2022: 3564-3573 - [c91]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CVPR 2022: 15324-15333 - [c90]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 71-91 - [c89]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. ECCV (9) 2022: 245-262 - [c88]Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. ECCV Workshops (2) 2022: 507-523 - [c87]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion. ECCV (18) 2022: 719-735 - [c86]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards The Largest Margins. ICLR 2022 - [c85]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Prototype-Anchored Learning for Learning with Imperfect Annotations. ICML 2022: 27245-27267 - [c84]Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin:
DANet: Image Deraining via Dynamic Association Learning. IJCAI 2022: 980-986 - [c83]Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu:
Hybrid Conditional Deep Inverse Tone Mapping. ACM Multimedia 2022: 1016-1024 - [c82]Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu:
ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. ACM Multimedia 2022: 1358-1366 - [c81]Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji:
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. ACM Multimedia 2022: 2730-2738 - [i40]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) - [i39]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) - [i38]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) - [i37]Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. CoRR abs/2204.00987 (2022) - [i36]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) - [i35]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) - [i34]Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang:
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning. CoRR abs/2205.05264 (2022) - [i33]Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CoRR abs/2205.07162 (2022) - [i32]Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu:
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation. CoRR abs/2205.12606 (2022) - [i31]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards the Largest Margins. CoRR abs/2206.11589 (2022) - [i30]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Prototype-Anchored Learning for Learning with Imperfect Annotations. CoRR abs/2206.11602 (2022) - [i29]Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. CoRR abs/2209.00961 (2022) - [i28]Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji:
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. CoRR abs/2210.02009 (2022) - [i27]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.04470 (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. <