A super-resolution method for low-quality face image through RBF-PLS regression and neighbor embedding. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Tao Lu 001; Kebin Huang (ICASSP, 2012)

Graph discriminant analysis on multi-manifold (GDAMM): A novel super-resolution method for face recognition. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Kebin Huang; Tao Lu 001 (ICIP, 2012)

Enhanced Principal Component Using Polar Coordinate PCA for Stereo Audio Coding. - Shi Dong 004; Ruimin Hu; Weiping Tu; Xiang Zheng; Junjun Jiang; Song Wang 011 (ICME, 2012)

Efficient Single Image Super-Resolution via Graph Embedding. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Kebin Huang; Tao Lu 001 (ICME, 2012)

Position-Patch Based Face Hallucination via Locality-Constrained Representation. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Tao Lu 001; Kebin Huang (ICME, 2012)

Face hallucination via K-selection mean constrained sparse representation. - Kebin Huang; Ruimin Hu; Zhen Han 002; Tao Lu 001; Junjun Jiang; Feng Wang (ICPR, 2012)

Surveillance face hallucination via variable selection and manifold learning. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Tao Lu 001; Kebin Huang (ISCAS, 2012)

Face image super-resolution via nearest feature line. - Zhen Han 002; Junjun Jiang; Ruimin Hu; Tao Lu 001; Kebin Huang (ACM Multimedia, 2012)

Manifold regularized sparse support regression for single image super-resolution. - Junjun Jiang; Ruimin Hu; Zhongyuan Wang 001; Zhen Han 002; Shi Dong 004 (ICASSP, 2013)

Face hallucination via weighted sparse representation. - Zhongyuan Wang 001; Junjun Jiang; Zixiang Xiong; Ruimin Hu; Zhenfeng Shao (ICASSP, 2013)

A joint learning based face hallucination approach for low quality face image. - Liang Chen 026; Ruimin Hu; Zhen Han 002; Yang Xia; Junjun Jiang (ICIP, 2013)

Coupled-layer neighbor embedding for surveillance face hallucination. - Junjun Jiang; Ruimin Hu; Liang Chen 026; Zhen Han 002; Tao Lu 001; Jun Chen 001 (ICIP, 2013)

Locality-constraint iterative neighbor embedding for face hallucination. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Zhongyuan Wang 001; Tao Lu 001; Jun Chen 001 (ICME, 2013)

Support-driven sparse coding for face hallucination. - Junjun Jiang; Ruimin Hu; Zhongyuan Wang 001; Zixiang Xiong; Zhen Han 002 (ISCAS, 2013)

Robust super-resolution for face images via principle component sparse representation and least squares regression. - Tao Lu 001; Ruimin Hu; Zhen Han 002; Junjun Jiang; Yang Xia (ISCAS, 2013)

From local representation to global face hallucination: A novel super-resolution method by nonnegative feature transformation. - Tao Lu 001; Ruimin Hu; Zhen Han 002; Junjun Jiang; Yanduo Zhang (VCIP, 2013)

Two-step superresolution approach for surveillance face image through radial basis function-partial least squares regression and locality-induced sparse representation. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Zhongyuan Wang 001; Jun Chen 001 (J. Electronic Imaging, 2013)

Face Image Superresolution via Locality Preserving Projection and Sparse Coding. - Kebin Huang; Ruimin Hu; Zhen Han 002; Tao Lu 001; Junjun Jiang; Feng Wang (J. Softw., 2013)

Gabor-based patch covariance matrix for face sketch synthesis. - Jian Guan; Ruimin Hu; Junjun Jiang; Zhen Han 002 (ICIP, 2014)

Face hallucination via re-identified K-nearest neighbors embedding. - Shenming Qu; Ruimin Hu; Shihong Chen; Junjun Jiang; Zhongyuan Wang 001; Jun Chen 001 (ICME, 2014)

Efficient learning based face hallucination approach via facial standard deviation prior. - Liang Chen 026; Ruimin Hu; Junjun Jiang; Zhen Han 002 (ISCAS, 2014)

Noise Face Image Hallucination via Data-Driven Local Eigentransformation. - Xiaohui Dong; Ruimin Hu; Junjun Jiang; Zhen Han 002; Liang Chen 026; Ge Gao (PCM, 2014)

Noise robust face hallucination employing Gaussian-Laplacian mixture model. - Zhongyuan Wang 001; Zhen Han 002; Ruimin Hu; Junjun Jiang (Neurocomputing, 2014)

Efficient single image super-resolution via graph-constrained least squares regression. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Tao Lu 001 (Multim. Tools Appl., 2014)

Face image super-resolution through locality-induced support regression. - Junjun Jiang; Ruimin Hu; Chao Liang 001; Zhen Han 002; Chunjie Zhang (Signal Process., 2014)

Face Hallucination Via Weighted Adaptive Sparse Regularization. - Zhongyuan Wang 001; Ruimin Hu; Shizheng Wang; Junjun Jiang (IEEE Trans. Circuits Syst. Video Technol., 2014)

Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning. - Junjun Jiang; Ruimin Hu; Zhongyuan Wang 001; Zhen Han 002 (IEEE Trans. Image Process., 2014)

Noise Robust Face Hallucination via Locality-Constrained Representation. - Junjun Jiang; Ruimin Hu; Zhongyuan Wang 001; Zhen Han 002 (IEEE Trans. Multim., 2014)

Low-Resolution and Low-Quality Face Super-Resolution in Monitoring Scene via Support-Driven Sparse Coding. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Zhongyuan Wang 001 (J. Signal Process. Syst., 2014)

Hyperspectral image classification using Gradient Local Auto-Correlations. - Chen Chen 001; Junjun Jiang; Baochang Zhang 001; Wankou Yang; Jianzhong Guo (ACPR, 2015)

Face hallucination via Cauchy regularized sparse representation. - Shenming Qu; Ruimin Hu; Shihong Chen; Zhongyuan Wang 001; Junjun Jiang; Cheng Yang (ICASSP, 2015)

Locally regularized Anchored Neighborhood Regression for fast Super-Resolution. - Junjun Jiang; Jican Fu; Tao Lu 001; Ruimin Hu; Zhongyuan Wang 001 (ICME, 2015)

Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition. - Chen Chen 001; Zhenjie Hou; Baochang Zhang 001; Junjun Jiang; Yun Yang (ISVC (1), 2015)

Coupled Discriminant Multi-Manifold Analysis with Application to Low-Resolution Face Recognition. - Junjun Jiang; Ruimin Hu; Zhen Han 002; Liang Chen 026; Jun Chen 001 (MMM (1), 2015)

Person Re-identification Using Data-Driven Metric Adaptation. - Zheng Wang 007; Ruimin Hu; Chao Liang 001; Junjun Jiang; Kaimin Sun; Qingming Leng; Bingyue Huang (MMM (2), 2015)

Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming. - Jiayi Ma 001; Huabing Zhou; Ji Zhao 001; Yuan Gao 015; Junjun Jiang; Jinwen Tian (IEEE Trans. Geosci. Remote. Sens., 2015)

Hyperspectral image classification using set-to-set distance. - Junjun Jiang; Chen Chen 001; Xin Song; Zhihua Cai (ICASSP, 2016)

L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise. - Junjun Jiang; Zhongyuan Wang 001; Chen Chen 001; Tao Lu 001 (ICASSP, 2016)

Robust image matching via feature guided Gaussian mixture model. - Jiayi Ma 001; Junjun Jiang; Yuan Gao 015; Jun Chen 019; Chengyin Liu (ICME, 2016)

Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface. - Zheng Wang 007; Ruimin Hu; Yi Yu 001; Junjun Jiang; Chao Liang 001; Jinqiao Wang (IJCAI, 2016)

3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector. - Chen Chen 001; Mengyuan Liu; Baochang Zhang 001; Jungong Han; Junjun Jiang; Hong Liu 008 (IJCAI, 2016)

Face Image Super-Resolution Through Improved Neighbor Embedding. - Kebin Huang; Ruimin Hu; Junjun Jiang; Zhen Han 002; Feng Wang (MMM (1), 2016)

Smooth sparse representation for noise robust face super-resolution. - Junjun Jiang; Jiayi Ma 001; Chen Chen 001; Zhongyuan Wang 001; Tao Lu 001 (VCIP, 2016)

Multimodal retinal image registration using edge map and feature guided Gaussian mixture model. - Jiayi Ma 001; Junjun Jiang; Jun Chen 019; Chengyin Liu; Chang Li 001 (VCIP, 2016)

Hyperspectral image denoising with segmentation-based low rank representation. - Jiayi Ma 001; Junjun Jiang; Chang Li 001 (VCIP, 2016)

Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation. - Junjun Jiang; Chen Chen 001; Kebin Huang; Zhihua Cai; Ruimin Hu (Inf. Sci., 2016)

Heteroskedasticity tuned mixed-norm sparse regularization for face hallucination. - Zhongyuan Wang 001; Ruimin Hu; Junjun Jiang; Zhen Han 002; Zhenfeng Shao (Multim. Tools Appl., 2016)

CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. - Junjun Jiang; Ruimin Hu; Zhongyuan Wang 001; Zhihua Cai (Signal Process., 2016)

Facial Image Hallucination Through Coupled-Layer Neighbor Embedding. - Junjun Jiang; Ruimin Hu; Zhongyuan Wang 001; Zhen Han 002; Jiayi Ma 001 (IEEE Trans. Circuits Syst. Video Technol., 2016)

Zero-Shot Person Re-identification via Cross-View Consistency. - Zheng Wang 007; Ruimin Hu; Chao Liang 001; Yi Yu 001; Junjun Jiang; Mang Ye; Jun Chen 001; Qingming Leng (IEEE Trans. Multim., 2016)

Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization. - Jiayi Ma 001; Ji Zhao 001; Junjun Jiang; Huabing Zhou (AAAI, 2017)

Face hallucination using region-based deep convolutional networks. - Tao Lu 001; Hao Wang; Zixiang Xiong; Junjun Jiang; Yanduo Zhang; Huabing Zhou; Zhongyuan Wang 001 (ICIP, 2017)

Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning. - Junjun Jiang; Yi Yu 001; Suhua Tang; Jiayi Ma 001; Guo-Jun Qi; Akiko Aizawa (ICME, 2017)

DLML: Deep linear mappings learning for face super-resolution with nonlocal-patch. - Tao Lu 001; Lanlan Pan; Junjun Jiang; Yanduo Zhang; Zixiang Xiong (ICME, 2017)

A unified model for improving depth accuracy in kinect sensor. - Li Peng 003; Yanduo Zhang; Huabing Zhou; Deng Chen; Zhenghong Yu; Junjun Jiang; Jiayi Ma 001 (ICME, 2017)

Locality Preserving Matching. - Jiayi Ma 001; Ji Zhao 001; Hanqi Guo 002; Junjun Jiang; Huabing Zhou; Yuan Gao 015 (IJCAI, 2017)

Statistical Inference of Gaussian-Laplace Distribution for Person Verification. - Zheng Wang 007; Ruimin Hu; Yi Yu 001; Junjun Jiang; Jiayi Ma 001; Shin'ichi Satoh 001 (ACM Multimedia, 2017)

Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration. - Jiayi Ma 001; Junjun Jiang; Chengyin Liu; Yansheng Li 001 (Inf. Sci., 2017)

Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification. - Junjun Jiang; Chen Chen 001; Yi Yu 001; Xinwei Jiang; Jiayi Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2017)

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. - Xinwei Jiang; Xiaoping Fang; Zhikun Chen; Junbin Gao; Junjun Jiang; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2017)

Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features. - Chen Chen 001; Baochang Zhang 001; Zhenjie Hou; Junjun Jiang; Mengyuan Liu; Yun Yang (Multim. Tools Appl., 2017)

HRM graph constrained dictionary learning for face image super-resolution. - Kebin Huang; Ruimin Hu; Junjun Jiang; Zhen Han 002; Feng Wang (Multim. Tools Appl., 2017)

Multiscale Union Regions Adaptive Sparse Representation for Hyperspectral Image Classification. - Fei Tong; Hengjian Tong; Junjun Jiang; Yun Zhang 002 (Remote. Sens., 2017)

Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation. - Junjun Jiang; Jiayi Ma 001; Chen Chen 001; Xinwei Jiang; Zheng Wang 007 (IEEE Trans. Cybern., 2017)

SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior. - Junjun Jiang; Chen Chen 001; Jiayi Ma 001; Zheng Wang 007; Zhongyuan Wang 001; Ruimin Hu (IEEE Trans. Multim., 2017)

Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means. - Junjun Jiang; Xiang Ma; Chen Chen 001; Tao Lu 001; Zhongyuan Wang 001; Jiayi Ma 001 (IEEE Trans. Multim., 2017)

Residual Learning for Face Sketch Synthesis. - Junjun Jiang; Yi Yu 001; Zheng Wang 007; Jiayi Ma 001 (ICASSP, 2018)

Feature Matching Based on Top K Rank Similarity. - Junjun Jiang; Qing Ma; Tao Lu 001; Zhongyuan Wang 001; Jiayi Ma 001 (ICASSP, 2018)

Face Hallucination Using Manifold-Regularized Group Locality-Constrained Representation. - Tao Lu 001; Kangli Zeng; Junjun Jiang; Yanduo Zhang; Wei He; Zhongyuan Wang 001; Huabing Zhou (ICIP, 2018)

Visual Homing via Guided Locality Preserving Matching. - Jiayi Ma 001; Ji Zhao 001; Junjun Jiang; Huabing Zhou; Yu Zhou 016; Zheng Wang 007; Xiaojie Guo 001 (ICRA, 2018)

Nonlinear Contextual Face Hallucination. - Kangli Zeng; Tao Lu 001; Junjun Jiang; Zhongyuan Wang 001 (IFTC, 2018)

Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination. - Junjun Jiang; Yi Yu 001; Jinhui Hu; Suhua Tang; Jiayi Ma 001 (IJCAI, 2018)

Reinforcing Pedestrian Parsing on Small Scale Dataset. - Qi Zheng; Jun Chen 001; Junjun Jiang; Ruimin Hu (MMM (1), 2018)

Group Embedding for Face Hallucination. - Tao Lu 001; Kangli Zeng; Zixiang Xiong; Junjun Jiang; Yanduo Zhang (IEEE Access, 2018)

Rectangular-Normalized Superpixel Entropy Index for Image Quality Assessment. - Tao Lu 001; Jiaming Wang 001; Huabing Zhou; Junjun Jiang; Jiayi Ma 001; Zhongyuan Wang 001 (Entropy, 2018)

Deep Distillation Recursive Network for Remote Sensing Imagery Super-Resolution. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Junjun Jiang; Jing Xiao 004; Yuan Yao (Remote. Sens., 2018)

Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. - Zhikun Chen; Junjun Jiang; Xinwei Jiang; Xiaoping Fang; Zhihua Cai (Sensors, 2018)

Noise robust face hallucination algorithm using local content prior based error shrunk nearest neighbors representation. - Shyam Singh Rajput; Ankur Singh; K. V. Arya; Junjun Jiang (Signal Process., 2018)

A Progressively Enhanced Network for Video Satellite Imagery Superresolution. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Junjun Jiang (IEEE Signal Process. Lett., 2018)

Person Reidentification via Discrepancy Matrix and Matrix Metric. - Zheng Wang 007; Ruimin Hu; Chen Chen 001; Yi Yu 001; Junjun Jiang; Chao Liang 001; Shin'ichi Satoh 001 (IEEE Trans. Cybern., 2018)

SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. - Junjun Jiang; Jiayi Ma 001; Chen Chen 001; Zhongyuan Wang 001; Zhihua Cai; Lizhe Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Guided Locality Preserving Feature Matching for Remote Sensing Image Registration. - Jiayi Ma 001; Junjun Jiang; Huabing Zhou; Ji Zhao 001; Xiaojie Guo 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan 001; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. - Seungjun Nah; Radu Timofte; Shuhang Gu; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son 002; Kyoung Mu Lee; Xintao Wang 002; Kelvin C. K. Chan; Ke Yu; Chao Dong 005; et al. (CVPR Workshops, 2019)

Image Super-resolution via Deep Aggregation Network. - Xinya Wang; Jiayi Ma 001; Junjun Jiang (ICASSP, 2019)

Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations. - Peng Yi 002; Zhongyuan Wang 001; Kui Jiang; Junjun Jiang; Jiayi Ma 001 (ICCV, 2019)

AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. - Dario Fuoli; Xiaoyong Shen; Shutao Xia; Yurong Dai; Jiaya Jia; Peng Yi 002; Zhongyuan Wang 001; Kui Jiang; Junjun Jiang; Jiayi Ma 001; Zhiwei Zhong; Shuhang Gu; et al. (ICCV Workshops, 2019)

AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. - Dario Fuoli; Xiaoyong Shen; Shutao Xia; Yurong Dai; Jiaya Jia; Peng Yi 002; Zhongyuan Wang 001; Kui Jiang; Junjun Jiang; Jiayi Ma 001; Zhiwei Zhong; Shuhang Gu; et al. (ICCV Workshops, 2019)

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. - Shuhang Gu; Hanwen Liu; Dan Zhu; Tangxin Xie; Xin Yang 009; Chen Zhu; Jia Yu 018; Wenyu Sun; Xin Tao 001; Zijun Deng; Liying Lu; Martin Danelljan; et al. (ICCV Workshops, 2019)

GAN-Based Multi-level Mapping Network for Satellite Imagery Super-Resolution. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Junjun Jiang; Guangcheng Wang; Zhen Han 002; Tao Lu 001 (ICME, 2019)

Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network. - He Sun; Zhiwei Zhong; Deming Zhai; Xianming Liu; Junjun Jiang (IFTC, 2019)

Multi-Scale Depthwise Separable Convolutional Neural Network for Hyperspectral Image Classification. - Jiliang Yan; Deming Zhai; Yi Niu; Xianming Liu; Junjun Jiang (IFTC, 2019)

Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators. - Han Xu 001; Pengwei Liang; Wei Yu 018; Junjun Jiang; Jiayi Ma 001 (IJCAI, 2019)

Event-Oriented Wiki Document Generation. - Fangwei Zhu; Zhengguo Wang; Juanzi Li; Lei Hou 001; Jiaxin Shi; Shining Lv; Ran Shen; Junjun Jiang (JIST, 2019)

SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images. - Zhikun Chen; Junjun Jiang; Chong Zhou; Shaoyuan Fu; Zhihua Cai (IEEE Access, 2019)

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. - Jia Wu 001; Shirui Pan; Junjun Jiang; Zhihua Cai; Bo Du 001; Yingjie Tian 001; Shuaiqiang Wang; Haishuai Wang (IEEE Access, 2019)

Deep Segmentation Domain Adaptation Network With Weighted Boundary Constraint. - Qi Zheng; Jun Chen 001; Zhongyuan Wang 001; Junjun Jiang; Chao Liang 001 (IEEE Access, 2019)

Locality Preserving Matching. - Jiayi Ma 001; Ji Zhao 001; Junjun Jiang; Huabing Zhou; Xiaojie Guo 001 (Int. J. Comput. Vis., 2019)

FusionGAN: A generative adversarial network for infrared and visible image fusion. - Jiayi Ma 001; Wei Yu 018; Pengwei Liang; Chang Li 001; Junjun Jiang (Inf. Fusion, 2019)

Face hallucination through differential evolution parameter map learning with facial structure prior. - Junjun Jiang; Jiayi Ma 001; Suhua Tang; Yi Yu 001; Kiyoharu Aizawa (Inf. Sci., 2019)

Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction. - Zhikun Chen; Junjun Jiang; Chong Zhou; Xinwei Jiang; Shaoyuan Fu; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2019)

A non-parametric depth modification model for registration between color and depth images. - Li Peng 003; Yanduo Zhang; Huabing Zhou; Junjun Jiang; Jiayi Ma 001 (Multidimens. Syst. Signal Process., 2019)

Feature-guided Gaussian mixture model for image matching. - Jiayi Ma 001; Xingyu Jiang; Junjun Jiang; Yuan Gao 015 (Pattern Recognit., 2019)

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. - Xinwei Jiang; Xin Song; Yongshan Zhang; Junjun Jiang; Junbin Gao; Zhihua Cai (Remote. Sens., 2019)

Label Noise Cleansing with Sparse Graph for Hyperspectral Image Classification. - Qingming Leng; Haiou Yang; Junjun Jiang (Remote. Sens., 2019)

Satellite Image Super-Resolution via Multi-Scale Residual Deep Neural Network. - Tao Lu 001; Jiaming Wang 001; Yanduo Zhang; Zhongyuan Wang 001; Junjun Jiang (Remote. Sens., 2019)

Hyperspectral Image Classification in the Presence of Noisy Labels. - Junjun Jiang; Jiayi Ma 001; Zheng Wang 007; Chen Chen 001; Xianming Liu (IEEE Trans. Geosci. Remote. Sens., 2019)

Multiscale Locality and Rank Preservation for Robust Feature Matching of Remote Sensing Images. - Xingyu Jiang; Junjun Jiang; Aoxiang Fan; Zhongyuan Wang 001; Jiayi Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Edge-Enhanced GAN for Remote Sensing Image Superresolution. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Guangcheng Wang; Tao Lu 001; Junjun Jiang (IEEE Trans. Geosci. Remote. Sens., 2019)

Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis. - Junjun Jiang; Yi Yu 001; Zheng Wang 007; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Image Process., 2019)

LMR: Learning a Two-Class Classifier for Mismatch Removal. - Jiayi Ma 001; Xingyu Jiang; Junjun Jiang; Ji Zhao 001; Xiaojie Guo 001 (IEEE Trans. Image Process., 2019)

Multi-Memory Convolutional Neural Network for Video Super-Resolution. - Zhongyuan Wang 001; Peng Yi 002; Kui Jiang; Junjun Jiang; Zhen Han 002; Tao Lu 001; Jiayi Ma 001 (IEEE Trans. Image Process., 2019)

Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking. - Weijian Ruan; Jun Chen 001; Yi Wu 001; Jinqiao Wang; Chao Liang 001; Ruimin Hu; Junjun Jiang (IEEE Trans. Multim., 2019)

Incremental Re-Identification by Cross-Direction and Cross-Ranking Adaption. - Zheng Wang 007; Junjun Jiang; Yi Yu 001; Shin'ichi Satoh 001 (IEEE Trans. Multim., 2019)

Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization. - Jiayi Ma 001; Jia Wu 001; Ji Zhao 001; Junjun Jiang; Huabing Zhou; Quan Z. Sheng (IEEE Trans. Neural Networks Learn. Syst., 2019)

Semisupervised Discriminant Multimanifold Analysis for Action Recognition. - Zengmin Xu; Ruimin Hu; Jun Chen 001; Chen Chen 001; Junjun Jiang; Jiaofen Li; Hongyang Li (IEEE Trans. Neural Networks Learn. Syst., 2019)

FusionDN: A Unified Densely Connected Network for Image Fusion. - Han Xu 001; Jiayi Ma 001; Zhuliang Le; Junjun Jiang; Xiaojie Guo 001 (AAAI, 2020)

Multi-Scale Progressive Fusion Network for Single Image Deraining. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Chen Chen 001; Baojin Huang; Yimin Luo; Jiayi Ma 001; Junjun Jiang (CVPR, 2020)

Geometric Estimation via Robust Subspace Recovery. - Aoxiang Fan; Xingyu Jiang; Yang Wang; Junjun Jiang; Jiayi Ma 001 (ECCV (22), 2020)

Attention-Guided Deraining Network Via Stage-Wise Learning. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Chen Chen 001; Yuhong Yang 001; Xin Tian 006; Junjun Jiang (ICASSP, 2020)

Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. - Chenyang Wang 002; Zhiwei Zhong; Junjun Jiang; Deming Zhai; Xianming Liu (ICASSP, 2020)

ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. - Yongsen Zhao; Deming Zhai; Junjun Jiang; Xianming Liu (ICASSP, 2020)

Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. - Zhanjian Shen; Deming Zhai; Xianming Liu; Junjun Jiang (ICIP, 2020)

Single Image Deraining via Scale-space Invariant Attention Neural Network. - Bo Pang; Deming Zhai; Junjun Jiang; Xianming Liu (ACM Multimedia, 2020)

Lyrics-Conditioned Neural Melody Generation. - Yi Yu 001; Florian Harscoët; Simon Canales; Gurunath Reddy M; Suhua Tang; Junjun Jiang (MMM (2), 2020)

Optimizing Hydrography Ontology Alignment Through Compact Particle Swarm Optimization Algorithm. - Yifeng Wang; Hanguang Yao; Liangpeng Wan; Hua Li; Junjun Jiang; Yun Zhang 002; Fangmin Wu; Junfeng Chen; Xingsi Xue; Cai Dai (ICSI, 2020)

Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. - Ruifeng Shi; Deming Zhai; Xianming Liu; Junjun Jiang; Wen Gao 001 (CoRR, 2020)

Unsupervised Constrative Person Re-identification. - Bo Pang; Deming Zhai; Junjun Jiang; Xianming Liu (CoRR, 2020)

Global-local fusion network for face super-resolution. - Tao Lu 001; Jiaming Wang 001; Junjun Jiang; Yanduo Zhang (Neurocomputing, 2020)

Infrared and visible image fusion via detail preserving adversarial learning. - Jiayi Ma 001; Pengwei Liang; Wei Yu 018; Chen Chen 001; Xiaojie Guo 001; Jia Wu 001; Junjun Jiang (Inf. Fusion, 2020)

Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion. - Jiayi Ma 001; Wei Yu 018; Chen Chen 001; Pengwei Liang; Xiaojie Guo 001; Junjun Jiang (Inf. Fusion, 2020)

Noisy practical facial super-resolution method via deformable constrained model with small dataset. - Liang Chen 026; Qing Li 001; Junjun Jiang (Multim. Tools Appl., 2020)

Hierarchical dense recursive network for image super-resolution. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Junjun Jiang (Pattern Recognit., 2020)

Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. - Junjun Jiang; He Sun; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Computational Imaging, 2020)

Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing Learning. - Junjun Jiang; Yi Yu 001; Suhua Tang; Jiayi Ma 001; Akiko Aizawa; Kiyoharu Aizawa (IEEE Trans. Cybern., 2020)

Ensemble Super-Resolution With a Reference Dataset. - Junjun Jiang; Yi Yu 001; Zheng Wang 007; Suhua Tang; Ruimin Hu; Jiayi Ma 001 (IEEE Trans. Cybern., 2020)

Adaptive MultiScale Segmentations for Hyperspectral Image Classification. - Qingming Leng; Haiou Yang; Junjun Jiang; Qi Tian 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Image Superresolution via Dense Discriminative Network. - Jiayi Ma 001; Xinya Wang; Junjun Jiang (IEEE Trans. Ind. Electron., 2020)

Robust Face Super-Resolution via Position Relation Model Based on Global Face Context. - Liang Chen 026; Jinshan Pan; Junjun Jiang; Jiawei Zhang 002; Yi Wu 010 (IEEE Trans. Image Process., 2020)

Robust Feature Matching Using Spatial Clustering With Heavy Outliers. - Xingyu Jiang; Jiayi Ma 001; Junjun Jiang; Xiaojie Guo 001 (IEEE Trans. Image Process., 2020)

DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion. - Jiayi Ma 001; Han Xu 001; Junjun Jiang; Xiaoguang Mei; Xiao-Ping (Steven) Zhang (IEEE Trans. Image Process., 2020)

Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification. - Zheng Wang 007; Junjun Jiang; Yang Wu 001; Mang Ye; Xiang Bai; Shin'ichi Satoh 001 (IEEE Trans. Image Process., 2020)

ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Guangcheng Wang; Ke Gu 001; Junjun Jiang (IEEE Trans. Multim., 2020)

Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. - Feilong Zhang 002; Xianming Liu; Cheng Guo 008; Shiyi Lin; Junjun Jiang; Xiangyang Ji (CVPR, 2021)

Omniscient Video Super-Resolution. - Peng Yi 002; Zhongyuan Wang 001; Kui Jiang; Junjun Jiang; Tao Lu 001; Xin Tian 006; Jiayi Ma 001 (ICCV, 2021)

Learning with Noisy Labels via Sparse Regularization. - Xiong Zhou; Xianming Liu; Chenyang Wang 002; Deming Zhai; Junjun Jiang; Xiangyang Ji (ICCV, 2021)

Zero-Shot Multi-Focus Image Fusion. - Xingyu Hu; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (ICME, 2021)

Heatmap-Aware Pyramid Face Hallucination. - Chenyang Wang 002; Junjun Jiang; Xianming Liu (ICME, 2021)

Asymmetric Loss Functions for Learning with Noisy Labels. - Xiong Zhou; Xianming Liu; Junjun Jiang; Xin Gao; Xiangyang Ji (ICML, 2021)

Face Hallucination via Split-Attention in Split-Attention Network. - Tao Lu 001; Yuanzhi Wang; Yanduo Zhang; Yu Wang 140; Wei Liu 123; Zhongyuan Wang 001; Junjun Jiang (ACM Multimedia, 2021)

Target-guided Adaptive Base Class Reweighting for Few-Shot Learning. - Jiliang Yan; Deming Zhai; Junjun Jiang; Xianming Liu (ACM Multimedia, 2021)

Improving Hyperspectral Super-Resolution via Heterogeneous Knowledge Distillation. - Ziqian Liu; Qing Ma; Junjun Jiang; Xianming Liu (MMAsia, 2021)

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; David Plowman; Samarth Shukla; Radu Timofte; Ziyu Zhang; Yicheng Wang; Zilong Huang; Guozhong Luo; Gang Yu 002; Bin Fu; Yiran Wang 005; et al. (CoRR, 2021)

BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring. - Pengwei Liang; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (CoRR, 2021)

Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. - Junjun Jiang; Chenyang Wang 002; Kui Jiang; Xianming Liu; Jiayi Ma 001 (CoRR, 2021)

TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network. - Yuanzhi Wang; Tao Lu 001; Yanduo Zhang; Junjun Jiang; Jiaming Wang 001; Zhongyuan Wang 001; Jiayi Ma 001 (CoRR, 2021)

Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data. - Jialei Xu; Yuanchao Bai; Xianming Liu; Junjun Jiang; Xiangyang Ji (CoRR, 2021)

A Practical Contrastive Learning Framework for Single Image Super-Resolution. - Gang Wu 010; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (CoRR, 2021)

Image Matching from Handcrafted to Deep Features: A Survey. - Jiayi Ma 001; Xingyu Jiang; Aoxiang Fan; Junjun Jiang; Junchi Yan (Int. J. Comput. Vis., 2021)

Image fusion meets deep learning: A survey and perspective. - Hao Zhang 073; Han Xu 001; Xin Tian 006; Junjun Jiang; Jiayi Ma 001 (Inf. Fusion, 2021)

Multi-Level Memory Compensation Network for Rain Removal via Divide-and-Conquer Strategy. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Chen Chen 001; Xiaofen Wang; Junjun Jiang; Zixiang Xiong (IEEE J. Sel. Top. Signal Process., 2021)

MPIN: a macro-pixel integration network for light field super-resolution. - Xinya Wang; Jiayi Ma 001; Wenjing Gao; Junjun Jiang (Frontiers Inf. Technol. Electron. Eng., 2021)

Ranking list preservation for feature matching. - Junjun Jiang; Qing Ma; Xingyu Jiang; Jiayi Ma 001 (Pattern Recognit., 2021)

Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing. - Qiang Li; Xianming Liu; Junjun Jiang; Cheng Guo 008; Xiangyang Ji; Xiaolin Wu 001 (IEEE Trans. Computational Imaging, 2021)

SMFuse: Multi-Focus Image Fusion Via Self-Supervised Mask-Optimization. - Jiayi Ma 001; Zhuliang Le; Xin Tian 006; Junjun Jiang (IEEE Trans. Computational Imaging, 2021)

Decomposition Makes Better Rain Removal: An Improved Attention-Guided Deraining Network. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Chen Chen 001; Zhen Han 002; Tao Lu 001; Baojin Huang; Junjun Jiang (IEEE Trans. Circuits Syst. Video Technol., 2021)

SDPNet: A Deep Network for Pan-Sharpening With Enhanced Information Representation. - Han Xu 001; Jiayi Ma 001; Zhenfeng Shao; Hao Zhang 073; Junjun Jiang; Xiaojie Guo 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Multi-Stage Degradation Homogenization for Super-Resolution of Face Images With Extreme Degradations. - Liang Chen 026; Jinshan Pan; Junjun Jiang; Jiawei Zhang 002; Zhen Han 002; Linchao Bao (IEEE Trans. Image Process., 2021)

Rain-Free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Chen Chen 001; Zheng Wang 007; Xiao Wang 029; Junjun Jiang; Chia-Wen Lin (IEEE Trans. Image Process., 2021)

Towards End-to-End Image Compression and Analysis with Transformers. - Yuanchao Bai; Xu Yang; Xianming Liu; Junjun Jiang; Yaowei Wang 001; Xiangyang Ji; Wen Gao 001 (AAAI, 2022)

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. - Zhenyu Li 007; Zehui Chen; Ang Li; Liangji Fang; Qinhong Jiang; Xianming Liu; Junjun Jiang; Bolei Zhou; Hang Zhao (AAAI, 2022)

Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. - Wenbo Zhao 004; Xianming Liu; Junjun Jiang; Debin Zhao; Ge Li 002; Xiangyang Ji (AAAI, 2022)

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning. - Mengshun Hu; Kui Jiang; Liang Liao; Jing Xiao 004; Junjun Jiang; Zheng Wang 007 (CVPR, 2022)

From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. - Junjun Jiang; Chenyang Wang 002; Xianming Liu; Kui Jiang; Jiayi Ma 001 (CVPR Workshops, 2022)

GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. - Zeyu Lu; Junjun Jiang; Junqin Huang; Gang Wu 010; Xianming Liu (CVPR Workshops, 2022)

Thermal Image Super-Resolution Challenge Results - PBVS 2022. - 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 006; Rongyuan Wu; et al. (CVPR Workshops, 2022)

NTIRE 2022 Image Inpainting Challenge: Report. - Andrés Romero; Angela Castillo; Jose Abril-Nova; Radu Timofte; Ritwik Das; Sanchit Hira; Zhihong Pan 001; Min Zhang 030; Baopu Li; Dongliang He; Tianwei Lin; Fu Li 003; et al. (CVPR Workshops, 2022)

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. - Wenbo Zhao 004; Xianming Liu; Zhiwei Zhong; Junjun Jiang; Wei Gao 003; Ge Li 002; Xiangyang Ji (CVPR, 2022)

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. - Yiqi Zhong; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CVPR, 2022)

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Lukasz Treszczotko; Xin Chang; Piotr Ksiazek; Michal Lopuszynski; Maciej Pioro; Rafal Rudnicki; Maciej Smyl; Yujie Ma; Zhenyu Li 007; et al. (ECCV Workshops (3), 2022)

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. - Zhenyu Li 007; Zehui Chen; Ang Li; Liangji Fang; Qinhong Jiang; Xianming Liu; Junjun Jiang (ECCV (9), 2022)

LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. - Zhenyu Li 007; Zehui Chen; Jialei Xu; Xianming Liu; Junjun Jiang (ECCV Workshops (2), 2022)

Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion. - Pengwei Liang; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (ECCV (18), 2022)

Learning Towards The Largest Margins. - Xiong Zhou; Xianming Liu; Deming Zhai; Junjun Jiang; Xin Gao; Xiangyang Ji (ICLR, 2022)

Prototype-Anchored Learning for Learning with Imperfect Annotations. - Xiong Zhou; Xianming Liu; Deming Zhai; Junjun Jiang; Xin Gao; Xiangyang Ji (ICML, 2022)

DANet: Image Deraining via Dynamic Association Learning. - Kui Jiang; Zhongyuan Wang 001; Zheng Wang 007; Peng Yi 002; Junjun Jiang; Jinsheng Xiao; Chia-Wen Lin (IJCAI, 2022)

ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. - Jinwang Pan; Deming Zhai; Yuanchao Bai; Junjun Jiang; Debin Zhao; Xianming Liu (ACM Multimedia, 2022)

Hybrid Conditional Deep Inverse Tone Mapping. - Tong Shao; Deming Zhai; Junjun Jiang; Xianming Liu (ACM Multimedia, 2022)

Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. - Jialei Xu; Xianming Liu; Yuanchao Bai; Junjun Jiang; Kaixuan Wang; Xiaozhi Chen; Xiangyang Ji (ACM Multimedia, 2022)

Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness. - Yiqi Zhong; Lei Wu; Xianming Liu; Junjun Jiang (CoRR, 2022)

Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. - Zhenyu Li 007; Junjun Jiang; Xianming Liu (IEEE CAA J. Autom. Sinica, 2022)

BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring. - Pengwei Liang; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (IEEE CAA J. Autom. Sinica, 2022)

Loop Closure Detection With Reweighting NetVLAD and Local Motion and Structure Consensus. - Kaining Zhang; Jiayi Ma 001; Junjun Jiang (IEEE CAA J. Autom. Sinica, 2022)

Learning an epipolar shift compensation for light field image super-resolution. - Xinya Wang; Jiayi Ma 001; Peng Yi 002; Xin Tian 006; Junjun Jiang; Xiao-Ping Zhang 002 (Inf. Fusion, 2022)

Dilated projection correction network based on autoencoder for hyperspectral image super-resolution. - Xinya Wang; Jiayi Ma 001; Junjun Jiang; Xiao-Ping Zhang 002 (Neural Networks, 2022)

U2Fusion: A Unified Unsupervised Image Fusion Network. - Han Xu 001; Jiayi Ma 001; Junjun Jiang; Xiaojie Guo 001; Haibin Ling (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution. - Peng Yi 002; Zhongyuan Wang 001; Kui Jiang; Junjun Jiang; Tao Lu 001; Jiayi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Feature Matching for Remote-Sensing Image Registration via Neighborhood Topological and Affine Consistency. - Xi Gong; Feng Yao; Jiayi Ma 001; Junjun Jiang; Tao Lu 001; Yanduo Zhang; Huabing Zhou (Remote. Sens., 2022)

Hyperspectral Image Classification via Spectral Pooling and Hybrid Transformer. - Chen Ma; Junjun Jiang; Huayi Li; Xiaoguang Mei; Chengchao Bai (Remote. Sens., 2022)

Deep Unfolding Network for Spatiospectral Image Super-Resolution. - Qing Ma; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Computational Imaging, 2022)

Group Shuffle and Spectral-Spatial Fusion for Hyperspectral Image Super-Resolution. - Xinya Wang; Yingsong Cheng; Xiaoguang Mei; Junjun Jiang; Jiayi Ma 001 (IEEE Trans. Computational Imaging, 2022)

Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution. - Chenyang Wang 002; Junjun Jiang; Zhiwei Zhong; Xianming Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Group-Based Embedding Learning and Integration Network for Hyperspectral Image Super-Resolution. - Xinya Wang; Qian Hu; Junjun Jiang; Jiayi Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Super-Resolution via Recurrent Feedback Embedding and Spatial-Spectral Consistency Regularization. - Xinya Wang; Jiayi Ma 001; Junjun Jiang (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. - Xin Zhang; Xinwei Jiang; Junjun Jiang; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2022)

Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution. - Qing Ma; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Image Process., 2022)

High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion. - Zhiwei Zhong; Xianming Liu; Junjun Jiang; Debin Zhao; Zhiwen Chen 002; Xiangyang Ji (IEEE Trans. Image Process., 2022)

DBDnet: A Deep Boosting Strategy for Image Denoising. - Jiayi Ma 001; Chengli Peng; Xin Tian 006; Junjun Jiang (IEEE Trans. Multim., 2022)

Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. - Junjun Jiang; Jiayi Ma 001; Xianming Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Dual-Path Deep Fusion Network for Face Image Hallucination. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Tao Lu 001; Junjun Jiang; Zixiang Xiong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Fully Unsupervised Person Re-Identification via Selective Contrastive Learning. - Bo Pang; Deming Zhai; Junjun Jiang; Xianming Liu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. - Deming Zhai; Ruifeng Shi; Junjun Jiang; Xianming Liu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li 002; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

Robust and Scalable Gaussian Process Regression and Its Applications. - Yifan Lu; Jiayi Ma 001; Leyuan Fang; Xin Tian 006; Junjun Jiang (CVPR, 2023)

Thermal Image Super-Resolution Challenge Results - PBVS 2023. - Rafael E. Rivadeneira; Angel Domingo Sappa; Boris Xavier Vintimilla; Chenyang Wang 002; Junjun Jiang; Xianming Liu; Zhiwei Zhong; Dai Bin; Li Ruodi; Shengye Li (CVPR Workshops, 2023)

Spatial-Frequency Mutual Learning for Face Super-Resolution. - Chenyang Wang 002; Junjun Jiang; Zhiwei Zhong; Xianming Liu (CVPR, 2023)

SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. - Meiling Fang; Marco Huber; Julian Fiérrez; Raghavendra Ramachandra; Naser Damer; Alhasan Alkhaddour; Maksim Kasantcev; Vasiliy Pryadchenko; Ziyuan Yang 001; Huijie Huangfu; Yingyu Chen; Yi Zhang 018; et al. (IJCB, 2023)

Large Sparse Kernels for Federated Learning. - Feilong Zhang 002; Yinchuan Li; Shiyi Lin; Yunfeng Shao 001; Junjun Jiang; Xianming Liu (Tiny Papers @ ICLR, 2023)

Learning Lossless Compression for High Bit-Depth Medical Imaging. - Kai Wang 070; Yuanchao Bai; Deming Zhai; Daxin Li; Junjun Jiang; Xianming Liu (ICME, 2023)

No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. - Feilong Zhang 002; Xianming Liu; Shiyi Lin; Gang Wu 010; Xiong Zhou; Junjun Jiang; Xiangyang Ji (ICML, 2023)

DAWN: Direction-aware Attention Wavelet Network for Image Deraining. - Kui Jiang; Wenxuan Liu; Zheng Wang 007; Xian Zhong; Junjun Jiang; Chia-Wen Lin (ACM Multimedia, 2023)

Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection. - Zhenyu Li 007; Zhipeng Zhang; Heng Fan 001; Yuan He; Ke Wang; Xianming Liu; Junjun Jiang (CoRR, 2023)

Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution. - Gang Wu 010; Junjun Jiang; Yuanchao Bai; Xianming Liu (CoRR, 2023)

Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. - Yiqi Zhong; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2023)

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. - Lingdong Kong; Yaru Niu; Shaoyuan Xie; Hanjiang Hu; Lai Xing Ng; Benoit R. Cottereau; Ding Zhao; Liangjun Zhang; Hesheng Wang 001; Wei Tsang Ooi; Ruijie Zhu 002; Ziyang Song; et al. (CoRR, 2023)

Dynamic Association Learning of Self-Attention and Convolution in Image Restoration. - Kui Jiang; Xuemei Jia; Wenxin Huang; Wenbin Wang; Zheng Wang 007; Junjun Jiang (CoRR, 2023)

Deep Learning-based Face Super-resolution: A Survey. - Junjun Jiang; Chenyang Wang 002; Xianming Liu; Jiayi Ma 001 (ACM Comput. Surv., 2023)

Guided Depth Map Super-Resolution: A Survey. - Zhiwei Zhong; Xianming Liu; Junjun Jiang; Debin Zhao; Xiangyang Ji (ACM Comput. Surv., 2023)

Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network. - Xinya Wang; Jiayi Ma 001; Junjun Jiang (IEEE CAA J. Autom. Sinica, 2023)

On the Dynamics Under the Unhinged Loss and Beyond. - Xiong Zhou; Xianming Liu; Hanzhang Wang; Deming Zhai; Junjun Jiang; Xiangyang Ji (J. Mach. Learn. Res., 2023)

Rethinking 3D-CNN in Hyperspectral Image Super-Resolution. - Ziqian Liu; Wenbing Wang; Qing Ma; Xianming Liu; Junjun Jiang (Remote. Sens., 2023)

Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. - Pengyu Lu; Xinwei Jiang; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai; Junjun Jiang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

Progressive Token Reduction and Compensation for Hyperspectral Image Representation. - Chen Ma; Junjun Jiang; Huayi Li; Wenxue Cui; Guoyuan Li (IEEE Trans. Geosci. Remote. Sens., 2023)

DCTNet: A Heterogeneous Dual-Branch Multi-Cascade Network for Infrared and Visible Image Fusion. - Jinfu Li 004; Lei Liu 070; Hong Song; Yuqi Huang; Junjun Jiang; Jian Yang 009 (IEEE Trans. Instrum. Meas., 2023)

Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. - Hanzhang Wang; Deming Zhai; Xianming Liu; Junjun Jiang; Wen Gao 001 (IEEE Trans. Image Process., 2023)

Loop Closure Detection via Locality Preserving Matching With Global Consensus. - Jiayi Ma 001; Kaining Zhang; Junjun Jiang (IEEE CAA J. Autom. Sinica, 2023)

ZMFF: Zero-shot multi-focus image fusion. - Xingyu Hu; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (Inf. Fusion, 2023)

FaceFormer: Aggregating Global and Local Representation for Face Hallucination. - Yuanzhi Wang; Tao Lu 001; Yanduo Zhang; Zhongyuan Wang 001; Junjun Jiang; Zixiang Xiong (IEEE Trans. Circuits Syst. Video Technol., 2023)

Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. - Xiong Zhou; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-Scale Hybrid Fusion Network for Single Image Deraining. - Kui Jiang; Zhongyuan Wang 001; Peng Yi 002; Chen Chen 001; Guangcheng Wang; Zhen Han 002; Junjun Jiang; Zixiang Xiong (IEEE Trans. Neural Networks Learn. Syst., 2023)

Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. - Wenbo Zhao 004; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Super-Resolving Face Image by Facial Parsing Information. - Chenyang Wang 002; Junjun Jiang; Zhiwei Zhong; Deming Zhai; Xianming Liu (IEEE Trans. Biom. Behav. Identity Sci., 2023)

DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation. - Zhenyu Li 007; Zehui Chen; Xianming Liu; Junjun Jiang (Mach. Intell. Res., 2023)

Learning a 3D-CNN and Transformer prior for hyperspectral image super-resolution. - Qing Ma; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (Inf. Fusion, 2023)

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu (AAAI, 2024)

FMRNet: Image Deraining via Frequency Mutual Revision. - Kui Jiang; Junjun Jiang; Xianming Liu; Xin Xu 007; Xianzheng Ma (AAAI, 2024)

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. - Chenyang Wang 002; Junjun Jiang; Kui Jiang; Xianming Liu (AAAI, 2024)

MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results. - Xin Jin 005; Chunle Guo; Xiaoming Li 002; Zongsheng Yue; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Yuekun Dai; Peiqing Yang 001; Chen Change Loy; Ruoqi Li; Chang Liu 030; et al. (CVPR Workshops, 2024)

Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning. - Jiahan Li; Jiuyang Dong; Shenjin Huang; Xi Li; Junjun Jiang; Xiaopeng Fan; Yongbing Zhang 002 (CVPR, 2024)

OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. - Yuchen Pan; Junjun Jiang; Kui Jiang; Zhihao Wu; Keyuan Yu; Xianming Liu (CVPR, 2024)

Thermal Image Super-Resolution Challenge Results - PBVS 2024. - Rafael E. Rivadeneira; Angel Domingo Sappa; Chenyang Wang 002; Junjun Jiang; Zhiwei Zhong; Peilin Chen 001; Shiqi Wang 001 (CVPR Workshops, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CVPR Workshops, 2024)

Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. - Marcos V. Conde; Florin-Alexandru Vasluianu; Jinhui Xiong; Wei Ye; Rakesh Ranjan; Radu Timofte; Huan Zheng; Wencheng Han; Tianyi Yan; Jianbing Shen; Pihai Sun; Yuanqi Yao; et al. (ECCV Workshops (10), 2024)

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Luigi Di Stefano; Jean-Baptiste Weibel; Dominik Bauer; Doris Antensteiner; Markus Vincze; Jiaqi Li 007; Yachuan Huang; Junrui Zhang 003; et al. (ECCV Workshops (1), 2024)

Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training. - Yuanqi Yao; Gang Wu 010; Kui Jiang; Siao Liu; Jian Kuai; Xianming Liu; Junjun Jiang (ECCV (24), 2024)

Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression. - Yutong Zhang; Wenbo Zhao 004; Daxin Li; Junjun Jiang; Xianming Liu (ICIP, 2024)

Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. - Xiong Zhou; Xianming Liu; Feilong Zhang 002; Gang Wu 010; Deming Zhai; Junjun Jiang; Xiangyang Ji (ICLR, 2024)

Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. - Xiong Zhou; Xianming Liu; Hao Yu; Jialiang Wang 003; Zeke Xie; Junjun Jiang; Xiangyang Ji (ICLR, 2024)

Exploiting Self-Supervised Constraints in image Super-Resolution. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu (ICME, 2024)

SDGE: Stereo Guided Depth Estimation for 360°Camera Sets. - Jialei Xu; Wei Yin; Dong Gong; Junjun Jiang; Xianming Liu (IROS, 2024)

Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu (ACM Multimedia, 2024)

Disentangled-Multimodal Privileged Knowledge Distillation for Depression Recognition with Incomplete Multimodal Data. - Yuchen Pan; Junjun Jiang; Kui Jiang; Xianming Liu (ACM Multimedia, 2024)

AFBench: A Large-scale Benchmark for Airfoil Design. - Jian Liu 036; Jianyu Wu; Hairun Xie; Guoqing Zhang; Jing Wang; Wei Liu 123; Wanli Ouyang; Junjun Jiang; Xianming Liu; Shixiang Tang; Miao Zhang (NeurIPS, 2024)

$ epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise. - Jialiang Wang 003; Xiong Zhou; Deming Zhai; Junjun Jiang; Xiangyang Ji; Xianming Liu (NeurIPS, 2024)

Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu (VCIP, 2024)

Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning. - Qingbin Wei; Feilong Zhang 002; Yuanchao Bai; Deming Zhai; Junjun Jiang; Xianming Liu (VCIP, 2024)

HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models. - Hanzhang Wang; Haoran Wang 004; Jinze Yang; Zhongrui Yu; Zeke Xie; Lei Tian; Xinyan Xiao; Junjun Jiang; Xianming Liu; Mingming Sun 001 (CoRR, 2024)

A Comprehensive Survey on 3D Content Generation. - Jian Liu 036; Xiaoshui Huang; Tianyu Huang; Lu Chen 001; Yuenan Hou; Shixiang Tang; Ziwei Liu 002; Wanli Ouyang; Wangmeng Zuo; Junjun Jiang; Xianming Liu (CoRR, 2024)

Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios. - Jialei Xu; Xianming Liu; Junjun Jiang; Kui Jiang; Rui Li 013; Kai Cheng; Xiangyang Ji (CoRR, 2024)

SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. - Yuru Xiao; Xianming Liu; Deming Zhai; Kui Jiang; Junjun Jiang; Xiangyang Ji (CoRR, 2024)

MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training. - Jiayang Li; Junjun Jiang; Pengwei Liang; Jiayi Ma 001 (CoRR, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CoRR, 2024)

Mesh Denoising Transformer. - Wenbo Zhao 004; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2024)

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. - Lingdong Kong; Shaoyuan Xie; Hanjiang Hu; Yaru Niu; Wei Tsang Ooi; Benoit R. Cottereau; Lai Xing Ng; Yuexin Ma; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; et al. (CoRR, 2024)

DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge. - Yifan Mao; Ming Li; Jian Liu 036; Jiayang Liu; Zihan Qin; Chunxi Chu; Jialei Xu; Wenbo Zhao 004; Junjun Jiang; Xianming Liu (CoRR, 2024)

Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering. - Yuru Xiao; Xianming Liu; Deming Zhai; Kui Jiang; Junjun Jiang; Xiangyang Ji (CoRR, 2024)

PVContext: Hybrid Context Model for Point Cloud Compression. - Guoqing Zhang; Wenbo Zhao 004; Jian Liu 036; Yuanchao Bai; Junjun Jiang; Xianming Liu (CoRR, 2024)

MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields. - Yuru Xiao; Deming Zhai; Wenbo Zhao 004; Kui Jiang; Junjun Jiang; Xianming Liu (CoRR, 2024)

Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond. - Pengwei Liang; Junjun Jiang; Qing Ma; Xianming Liu; Jiayi Ma 001 (CoRR, 2024)

A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends. - Junjun Jiang; Zengyuan Zuo; Gang Wu 010; Kui Jiang; Xianming Liu (CoRR, 2024)

Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions. - Zihan Qin; Jialei Xu; Wenbo Zhao 004; Junjun Jiang; Xianming Liu (CoRR, 2024)

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution. - Chenyang Wang 002; Wenjie An; Kui Jiang; Xianming Liu; Junjun Jiang (CoRR, 2024)

FM2S: Self-Supervised Fluorescence Microscopy Denoising With Single Noisy Image. - Jizhihui Liu; Qixun Teng; Junjun Jiang (CoRR, 2024)

Scm6A: A Fast and Low-cost Method for Quantifying m6A Modifications at the Single-cell Level. - Yueqi Li; Jingyi Li; Wenxing Li; Shuaiyi Liang; Wudi Wei; Jiemei Chu; Jingzhen Lai; Yao Lin; Hubin Chen; Jinming Su; Xiaopeng Hu; Gang Wang; et al. (Genom. Proteom. Bioinform., 2024)

Structure-Texture Dual Preserving for Remote Sensing Image Super Resolution. - Kanghui Zhao; Tao Lu 001; Yanduo Zhang; Junjun Jiang; Zhongyuan Wang 001; Zixiang Xiong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction. - Ziqi Bai; Xianming Liu; Cheng Guo 008; Kui Jiang; Junjun Jiang; Xiangyang Ji (IEEE Trans. Computational Imaging, 2024)

Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring. - Pengwei Liang; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Computational Imaging, 2024)

SegCLIP: Multimodal Visual-Language and Prompt Learning for High-Resolution Remote Sensing Semantic Segmentation. - Shijie Zhang; Bin Zhang 033; Yuntao Wu; Huabing Zhou; Junjun Jiang; Jiayi Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyper-Laplacian Prior for Remote Sensing Image Super-Resolution. - Kanghui Zhao; Tao Lu 001; Jiaming Wang 001; Yanduo Zhang; Junjun Jiang; Zixiang Xiong (IEEE Trans. Geosci. Remote. Sens., 2024)

Incrementally Adapting Pretrained Model Using Network Prior for Multi-Focus Image Fusion. - Xingyu Hu; Junjun Jiang; Chenyang Wang 002; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Image Process., 2024)

Exploring the Spectral Prior for Hyperspectral Image Super-Resolution. - Qian Hu; Xinya Wang; Junjun Jiang; Xiao-Ping Zhang 002; Jiayi Ma 001 (IEEE Trans. Image Process., 2024)

BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. - Zhenyu Li 007; Xuyang Wang; Xianming Liu; Junjun Jiang (IEEE Trans. Image Process., 2024)

Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach. - Gang Wu 010; Junjun Jiang; Junpeng Jiang; Xianming Liu (IEEE Trans. Image Process., 2024)

Rethinking Prior-Guided Face Super-Resolution: A New Paradigm With Facial Component Prior. - Tao Lu 001; Yuanzhi Wang; Yanduo Zhang; Junjun Jiang; Zhongyuan Wang 001; Zixiang Xiong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Reciprocal transformer for hyperspectral and multispectral image fusion. - Qing Ma; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (Inf. Fusion, 2024)

MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction. - Qian Hu; Jiayi Ma 001; Yuan Gao 015; Junjun Jiang; Yixuan Yuan (IEEE CAA J. Autom. Sinica, 2024)

Omniscient Video Super-Resolution with Explicit-Implicit Alignment. - Peng Yi 002; Zhongyuan Wang 002; Laigan Luo; Kui Jiang; Zheng He; Junjun Jiang; Tao Lu 001; Jiayi Ma 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Overhead-free Noise-tolerant Federated Learning: A New Baseline. - Shiyi Lin; Deming Zhai; Feilong Zhang 002; Junjun Jiang; Xianming Liu; Xiangyang Ji (Mach. Intell. Res., 2024)

ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation. - Chenyang Wang 002; Junjun Jiang; Xiong Zhou; Xianming Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

SPADNet: Structure Prior-Aware Dynamic Network for Face Super-Resolution. - Chenyang Wang 002; Junjun Jiang; Kui Jiang; Xianming Liu (IEEE Trans. Biom. Behav. Identity Sci., 2024)

Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee Curve. - Jinwang Pan; Xianming Liu; Yuanchao Bai; Deming Zhai; Junjun Jiang; Debin Zhao (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Deep Attentional Guided Image Filtering. - Zhiwei Zhong; Xianming Liu; Junjun Jiang; Debin Zhao; Xiangyang Ji (IEEE Trans. Neural Networks Learn. Syst., 2024)

GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Image Enhancement via Associated Perturbation Removal and Texture Reconstruction Learning. - Kui Jiang; Ruoxi Wang; Yi Xiao 003; Junjun Jiang; Xin Xu 007; Tao Lu 001 (IEEE CAA J. Autom. Sinica, 2024)

A Practical Contrastive Learning Framework for Single-Image Super-Resolution. - Gang Wu 010; Junjun Jiang; Xianming Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fully 1 × 1 Convolutional Network for Lightweight Image Super-resolution. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu (Mach. Intell. Res., 2024)

CALLIC: Content Adaptive Learning for Lossless Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu; Wen Gao 001 (AAAI, 2025)

Debiased All-in-one Image Restoration with Task Uncertainty Regularization. - Gang Wu 010; Junjun Jiang; Yijun Wang; Kui Jiang; Xianming Liu (AAAI, 2025)

Spatial Annealing for Efficient Few-shot Neural Rendering. - Yuru Xiao; Deming Zhai; Wenbo Zhao 004; Kui Jiang; Junjun Jiang; Xianming Liu (AAAI, 2025)

NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results. - Zheng Chen 014; Jingkai Wang 003; Kai Liu; Jue Gong; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Jianxing Zhang; Jinlong Wu; Jun Wang; Zheng Xie; et al. (CVPR Workshops, 2025)

DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds. - Youyu Chen; Junjun Jiang; Kui Jiang; Xiao Tang; Zhihao Li; Xianming Liu; Yinyu Nie (CVPR, 2025)

Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning. - Jiuyang Dong; Junjun Jiang; Kui Jiang; Jiahan Li; Yongbing Zhang 002 (CVPR, 2025)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Zhe Zhang; Yang Yang 009; Wu Chen; Anlong Ming; et al. (CVPR Workshops, 2025)

COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting. - Jiaxin Zhang; Junjun Jiang; Youyu Chen; Kui Jiang; Xianming Liu (CVPR, 2025)

Enhancing consistency and mitigating bias: A data replay approach for incremental learning. - Chenyang Wang 002; Junjun Jiang; Xingyu Hu; Xianming Liu; Xiangyang Ji (Neural Networks, 2025)

Diff-Holo: A Residual Diffusion Model With Complex Transformer for Rapid Single-Frame Hologram Reconstruction. - Ziqi Bai; Xianming Liu; Cheng Guo 008; Kui Jiang; Junjun Jiang; Xiangyang Ji (IEEE Trans. Computational Imaging, 2025)

Rep-Mamba: Re-Parameterization in Vision Mamba for Lightweight Remote Sensing Image Super-Resolution. - Kui Jiang; Mengru Yang; Yi Xiao 003; Jianbo Wu; Guangcheng Wang; Xiaocheng Feng; Junjun Jiang (IEEE Trans. Geosci. Remote. Sens., 2025)

Dynamics of Masked Image Modeling in Hyperspectral Image Classification. - Chen Ma; Huayi Li; Junjun Jiang; César Aybar; Jiaqi Yao; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2025)

MaeFuse: Transferring Omni Features With Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training. - Jiayang Li; Junjun Jiang; Pengwei Liang; Jiayi Ma 001; Liqiang Nie (IEEE Trans. Image Process., 2025)

FusionINV: A Diffusion-Based Approach for Multimodal Image Fusion. - Pengwei Liang; Junjun Jiang; Qing Ma; Chenyang Wang 002; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Image Process., 2025)

Learning Lossless Compression for High Bit-Depth Volumetric Medical Image. - Kai Wang 070; Yuanchao Bai; Daxin Li; Deming Zhai; Junjun Jiang; Xianming Liu (IEEE Trans. Image Process., 2025)

Learning Dynamic Prompts for All-in-One Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu; Liqiang Nie (IEEE Trans. Image Process., 2025)

FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion. - Pihai Sun; Junjun Jiang; Yuanqi Yao; Youyu Chen; Wenbo Zhao 004; Kui Jiang; Xianming Liu (CoRR, 2025)

ControlFusion: A Controllable Image Fusion Framework with Language-Vision Degradation Prompts. - Linfeng Tang; Yeda Wang; Zhanchuan Cai; Junjun Jiang; Jiayi Ma 001 (CoRR, 2025)

Image Deblurring by Exploring In-Depth Properties of Transformer. - Pengwei Liang; Junjun Jiang; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Content-Aware Transformer for All-in-one Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu (CoRR, 2025)

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion. - Xingyu Hu; Junjun Jiang; Chenyang Wang 002; Kui Jiang; Xianming Liu; Jiayi Ma 001 (CoRR, 2025)

Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu; Liqiang Nie (CoRR, 2025)

RD-UIE: Relation-Driven State Space Modeling for Underwater Image Enhancement. - Kui Jiang; Yan Luo; Junjun Jiang; Xin Xu 007; Fei Ma; Fei Yu (CoRR, 2025)

Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather. - Kui Jiang; Jing Cao; Zhaocheng Yu; Junjun Jiang; Jingchun Zhou (CoRR, 2025)

Boosting All-in-One Image Restoration via Self-Improved Privilege Learning. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu (CoRR, 2025)

Pixel2Pixel: A Pixelwise Approach for Zero-Shot Single Image Denoising. - Qing Ma; Junjun Jiang; Xiong Zhou; Pengwei Liang; Xianming Liu; Jiayi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

M2DAO-Talker: Harmonizing Multi-granular Motion Decoupling and Alternating Optimization for Talking-head Generation. - Kui Jiang; Shiyu Liu; Junjun Jiang; Xin Yang 009; Hongxun Yao; Xiaopeng Fan (CoRR, 2025)

Joint Asymmetric Loss for Learning with Noisy Labels. - Jialiang Wang 003; Xianming Liu; Xiong Zhou; Gangfeng Hu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2025)

Self-Supervised Multi-Camera Collaborative Depth Prediction With Latent Diffusion Models. - Jialei Xu; Xianming Liu; Yuanchao Bai; Junjun Jiang; Xiangyang Ji (IEEE Trans. Intell. Transp. Syst., 2025)

VDEGaussian: Video Diffusion Enhanced 4D Gaussian Splatting for Dynamic Urban Scenes Modeling. - Yuru Xiao; Zihan Lin; Chao Lu; Deming Zhai; Kui Jiang; Wenbo Zhao 004; Wei Zhang 010; Junjun Jiang; Huanran Wang; Xianming Liu (CoRR, 2025)

ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise. - Jialiang Wang 003; Xiong Zhou; Deming Zhai; Junjun Jiang; Xiangyang Ji; Xianming Liu (CoRR, 2025)

AHDMIL: Asymmetric Hierarchical Distillation Multi-Instance Learning for Fast and Accurate Whole-Slide Image Classification. - Jiuyang Dong; Jiahan Li; Junjun Jiang; Kui Jiang; Yongbing Zhang 002 (CoRR, 2025)

Dual-Level Cross-Modality Neural Architecture Search for Guided Image Super-Resolution. - Zhiwei Zhong; Xianming Liu; Junjun Jiang; Debin Zhao; Shiqi Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

SPGFusion: Semantic Prior Guided Infrared and visible image fusion via pretrained vision models. - Huiqin Zhang; Shihan Yao; Jiayi Ma 001; Junjun Jiang; Yanduo Zhang; Huabing Zhou (Inf. Fusion, 2026)