Selected Publications and Patents:
Books:
- Runmin Cong, Hao Chen, Hongyuan Zhu, and Huazhu Fu,
Foreground detection and segmentation in RGB-D images,
in
Paul Rosin, Yukun Lai, Yonghuai Liu, and Ling Shao, RGB-D Image Analysis and Processing, Springer , ISBN 978-3-030-28602-6, Dec. 2019. (Book Chapter) - Chongyi Li, Huazhu Fu, Miao Yang, Runmin Cong, and Chunle Guo,
Deep retinal image non-uniform illumination removal,
in
Zhenghua Chen, Min Wu, and Xiaoli Li, Generalization with Deep Learning: For Improvement on Sensing Capability, World Scientific , ISBN 978-981-121-883-5, Apr. 2021. (Book Chapter) - Runmin Cong, Chunlei Wu, Xibin Song, Wei Zhang, Sam Kwong, Hongdong Li, and Pan Ji,
SRNSD: Structure-regularized night-time self-supervised monocular depth estimation for outdoor scenes,
IEEE Transactions on Image Processing , vol. 33, pp. 5538-5550, 2024. - Runmin Cong, Ke Huang, Jianjun Lei, Yao Zhao, Qingming Huang, and Sam Kwong,
Multi-projection fusion and refinement network for salient object detection in 360° omnidirectional image,
IEEE Transactions on Neural Networks and Learning Systems , vol. 35, no. 7, pp. 9495-9507, 2024.
- Runmin Cong, Hang Xiong, Jinpeng Chen, Wei Zhang, Qingming Huang, and Yao Zhao,
Query-guided prototype evolution network for few-shot segmentation,
IEEE Transactions on Multimedia , vol. 26, pp. 6501-6512, 2024. [Code] - Runmin Cong, Ronghui Sheng, Hao Wu, Yulan Guo, Yunchao Wei, Wangmeng Zuo, Yao Zhao, and Sam Kwong,
Learning hierarchical color guidance for depth map super-resolution,
IEEE Transactions on Instrumentation and Measurement , vol. 74, pp. 1-13, 2024. [Code] - Hongyu Liu, Runmin Cong*, Hua Li, Qianqian Xu, Qingming Huang, and Wei Zhang,
ESNet: Evolution and succession network for high-resolution salient object detection,
Forty-first International Conference on Machine Learning (ICML) , pp. 30892-30907, 2024. (* corresponding author) - Feng Li, Runmin Cong*, Jingjing Wu, Huihui Bai, Meng Wang, and Yao Zhao,
SRConvNet: A Transformer-style ConvNet for lightweight image super-resolution,
International Journal of Computer Vision , 2024. (* corresponding author) [Code]
- Jinpeng Chen, Runmin Cong*, Horace Ho Shing Ip, and Sam Kwong,
KepSalinst: Using peripheral points to delineate salient instances,
IEEE Transactions on Cybernetics , vol. 54, no. 6, pp. 3392-3405, 2024. (* corresponding author) Popular Documents in TCyb (2023/01-2023/05) [Code]
- Jinpeng Chen, Runmin Cong*, Yuxuan Luo, Horace Ho Shing Ip, and Sam Kwong,
Strike a balance in continual panoptic segmentation,
European Conference on Computer Vision , 2024. (* corresponding author) - Yuxuan Luo, Runmin Cong*, Xialei Liu, Horace Ho Shing Ip, and Sam Kwong,
Modeling inner- and cross-task contrastive relations for continual image classification,
IEEE Transactions on Multimedia , vol. 26, pp. 10842-10853, 2024. (* corresponding author) - Xiaofei Zhou, Zhicong Wu, and Runmin Cong*,
Decoupling and integration network for camouflaged object detection,
IEEE Transactions on Multimedia , vol. 26, pp. 7114-7129, 2024. (* corresponding author) - Hua Li, Junyan Liang, Ruiqi Wu, Runmin Cong*, Wenhui Wu, and Sam Kwong,
Stereo superpixel segmentation via decoupled dynamic spatial-embedding fusion network,
IEEE Transactions on Multimedia , vol. 26, pp. 367-378, 2024. (* corresponding author) - Wujie Zhou, Penghan Yang, Yuanyuan Liu, Runmin Cong*, and Qiuping Jiang,
Self-supervised hyperspectral anomaly detection based on finite spatial-wise attention,
IEEE Transactions on Geoscience and Remote Sensing , vol. 62, pp. 1-13, 2024. (* corresponding author) [Code] - Shijie Lian, Ziyi Zhang, Hua Li, Wenjie Li, Laurence Tianruo Yang, Sam Kwong, and Runmin Cong,
Diving into underwater: Segment anything model guided underwater salient instance segmentation and a large-scale dataset,
Forty-first International Conference on Machine Learning (ICML) , pp. 29545-29559, 2024. - Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, and Qingming Huang,
Size-invariance matters: Rethinking metrics and losses for imbalanced multi-object salient object detection,
Forty-first International Conference on Machine Learning (ICML) , pp. 28989-29021, 2024. - Qian Zhang, Lin Zhang, Ran Song, Runmin Cong, Yonghuai Liu, and Wei Zhang,
Learning common semantics via optimal transport for contrastive multi-view clustering,
IEEE Transactions on Image Processing , vol. 33, pp. 4501-4515, 2024.
- Qiuping Jiang, Jinguang Cheng, Zongwei Wu, Runmin Cong, and Radu Timofte,
High-precision dichotomous image segmentation with frequency and scale awareness,
IEEE Transactions on Neural Networks and Learning Systems , 2024. In Press.
- Lingzhi He, Feng Li, Runmin Cong, and Yao Zhao,
Reflection intensity guided single image reflection removal and transmission recovery,
IEEE Transactions on Multimedia , vol. 26, pp. 5026-5039, 2024. - Zifeng Qiu, Tianyu Gong, Zichao Liang, Taoyi Chen, Runmin Cong, Huihui Bai, and Yao Zhao,
Perception-oriented UAV image dehazing based on super-pixel scene prior,
IEEE Transactions on Geoscience and Remote Sensing , vol. 62, article No. 5913519, 2024.
- Zihao Dong, Zizhen Liu, Runmin Cong, Tiyu Fang, Xiuli Shao, and Sam Kwong,
UAFer: A unified model for class-agnostic binary segmentation with uncertainty-aware feature reassembly,
IEEE Transactions on Circuits and Systems for Video Technology , vol. 34, no. 10, pp. 9836-9851, 2024. [Code] - Dongyi Zhang, Feng Li, Man Liu, Runmin Cong, Huihui Bai, Meng Wang, and Yao Zhao,
Exploring resolution fields for scalable image compression with uncertainty guidance,
IEEE Transactions on Circuits and Systems for Video Technology , vol. 34, no. 4, pp. 2934-2948, 2024. [Code] - Jinyu Yang, Mingqi Gao, Runmin Cong, Chengjie Wang, Feng Zheng, and Ales Leonardis,
Unveiling the power of visible-thermal video object segmentation,
IEEE Transactions on Circuits and Systems for Video Technology , vol. 34, no. 7, pp. 5376-5388, 2024. [Code] - Guanghui Yue, Jie Gao, Runmin Cong, Tianwei Zhou, Leida Li, and Tianfu Wang，
Deep pyramid network for low-light endoscopic image enhancement,
IEEE Transactions on Circuits and Systems for Video Technology , vol. 34, no. 5, pp. 3834-3845, 2024. - Jianhui Jin, Qiuping Jiang, Qingyuan Wu, Binwei Xu and Runmin Cong,
Underwater salient object detection via dual-stage self-paced learning and depth emphasis,
IEEE Transactions on Circuits and Systems for Video Technology , 2024. [Code] - Yixuan Wu, Feng Li, Runmin Cong, Huihui Bai, Weisi Lin, and Yao Zhao,
Bridging component learning with degradation modelling for blind image super-resolution,
IEEE Transactions on Multimedia , 2024. Popular Documents in TMM (2022/10) [Code] - Zhipeng Wang, Dan Ma, Guanghui Yue, Beichen Li, Runmin Cong, and Zhiqiang Wu,
Self-supervised hyperspectral anomaly detection based on finite spatial-wise attention,
IEEE Transactions on Geoscience and Remote Sensing , vol. 64, pp. 1-18, 2024. - Weiqing Yan, Yanshun Chen, Wujie Zhou, and Runmin Cong,
MVoxTi-DNeRF: Explicit multi-scale voxel interpolation and temporal encoding network for efficient dynamic neural radiance field,
IEEE Transactions on Automation Science and Engineering , 2024. In press. - Feng Li, Yixuan Wu, Anqi Li, Huihui Bai, Runmin Cong, and Yao Zhao,
Enhanced video super-resolution network towards compressed data,
ACM Transactions on Multimedia Computing Communications and Applications , vol. 20, no. 7, article no. 202, 2024. - Feng Li, Yixuan Wu, Zichao Liang, Runmin Cong, Huihui Bai, Yao Zhao, and Meng Wang,
BlindDiff: Empowering degradation modelling in diffusion models for blind image super-resolution,
Science China-Information Science , 2024. - Jieru Yao, Longfei Han, Guangyu Guo, Zhaohui Zheng, Runmin Cong, Xiankai Huang, Jin Ding, Kaihui Yang, Dingwen Zhang, and Junwei Han,
Position-based anchor optimization for point supervised dense nuclei detection,
Neural Networks , vol. 171, pp. 159-170, 2024. [Code] - Yinsong Xu, Yulong Ding, Jie Jiang, Runmin Cong, Xuefeng Zhang, Shiqi Wang, Sam Kwong, and Shuang-Hua Yang,
Skip-patching spatial-temporal discrepancy-based anomaly detection on multivariate time series,
Neurocomputing , vol. 609, article no. 128428, 2024. - Pengwei Dong, Bo Wang, Runmin Cong, Hai-Han Sun, and Chongyi Li,
Transformer with large convolution kernel decoder network for salient object detection in optical remote sensing images,
Computer Vision and Image Understanding , vol. 240, article no. 103917, 2024. - Runmin Cong, Wenyu Yang, Wei Zhang, Chongyi Li, Chun-Le Guo, Qingming Huang, and Sam Kwong,
PUGAN: Physical model-guided underwater image enhancement using GAN with dual-discriminators,
IEEE Transactions on Image Processing , vol. 32, pp. 4472-4485, 2023. Popular Documents in TIP (2023/08)
[----Project Page----] [Code & Results] - Runmin Cong, Ning Yang, Chongyi Li, Huazhu Fu, Yao Zhao, Qingming Huang, and Sam Kwong,
Global-and-local collaborative learning for co-salient object detection,
IEEE Transactions on Cybernetics , vol. 53, no. 3, pp. 1920-1931, 2023.
[----Project Page----] [Code & Results] [中文讲解视频] - Runmin Cong, Kepu Zhang, Chen Zhang, Feng Zheng, Yao Zhao, Qingming Huang, and Sam Kwong,
Does Thermal really always matter for RGB-T salient object detection?,
IEEE Transactions on Multimedia , vol. 25, pp. 6971-6982, 2023. ESI Highly Cited Paper
[----Project Page----] [Code & Results] [中文讲解视频] - Runmin Cong, Qi Qin, Chen Zhang, Qiuping Jiang, Shiqi Wang, Yao Zhao, and Sam Kwong,
A weakly supervised learning framework for salient object detection via hybrid labels,
IEEE Transactions on Circuits and Systems for Video Technology , vol. 33, no. 2, pp. 534-548, 2023. ESI Highly Cited Paper, Popular Documents in TCSVT (2023/02)
[----Project Page----] [Code & Results] - Runmin Cong, Weiyu Song, Jianjun Lei, Guanghui Yue, Yao Zhao, and Sam Kwong,
PSNet: Parallel symmetric network for video salient object detection,
IEEE Transactions on Emerging Topics in Computational Intelligence , vol. 7, no. 2, pp. 402-414, 2023. Popular Documents in TETCI (2023/03-2023/05; 2023/07-2023/08, 2023/12)
[Results] - Runmin Cong, Hongyu Liu, Chen Zhang, Wei Zhang, Feng Zheng, Ran Song, and Sam Kwong,
Point-aware interaction and CNN-induced refinement network for RGB-D salient object detection,
ACM Multimedia (ACM MM) , pp. 406-416, 2023. Oral [Code] - Runmin Cong, Mengyao Sun, Sanyi Zhang, Xiaofei Zhou, Wei Zhang, and Yao Zhao,
Frequency perception network for camouflaged object detection,
ACM Multimedia (ACM MM) , pp. 1179-1189, 2023. Oral [Code] - Runmin Cong, Yuchen Guan, Jinpeng Chen, Wei Zhang, Yao Zhao, and Sam Kwong,
SDDNet: Style-guided dual-layer disentanglement network for shadow detection,
ACM Multimedia (ACM MM) , pp. 1202-1211, 2023. Oral [Code] - Jinpeng Chen, Runmin Cong*, Yuxuan Luo, Horace Ho Shing Ip, and Sam Kwong,
Saving 100x storage: Prototype replay for reconstructing training sample distribution in class-incremental semantic segmentation,
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) , 2023. (CCF A, * corresponding author) [Code]
- 丛润民, 张晨, 徐迈, 刘鸿羽, 赵耀,
深度学习时代下的RGB-D显著性目标检测研究进展,
软件学报 , 34(4): 1711-1731, 2023. (CCF A) - Shijie Lian, Hua Li, Runmin Cong*, Suqi Li, Wei Zhang, and Sam Kwong,
WaterMask: Instance segmentation for underwater imagery,
International Conference on Computer Vision (ICCV) , pp. 1305-1315, 2023. (* corresponding author) [Code] - Xiaofei Zhou, Kunye Shen, Li Weng, Runmin Cong*, Bolun Zheng, Jiyong Zhang, and Chenggang Yan,
Edge-guided recurrent positioning network for salient object detection in optical remote sensing images,
IEEE Transactions on Cybernetics , vol. 53, no. 1, pp. 539-552, 2023. (* corresponding author) ESI Highly Cited Paper, Popular Documents in TCyb (2023/01-2023/05) [Code]
- Wujie Zhou, Fan Sun, Qiuping Jiang, Runmin Cong*, and Jenq-Neng Hwang,
WaveNet: Wavelet network with knowledge distillation for RGB-T salient object detection,
IEEE Transactions on Image Processing , vol. 32, pp. 3027-3039, 2023. (* corresponding author) ESI Highly Cited Paper, Popular Documents in TIP (2023/06-2023/09, 2023/12) [Code] - Heyu Huang, Runmin Cong*, Lianhe Yang, Ling Du, Cong Wang, and Sam Kwong,
Feedback chain network for hippocampus segmentation,
ACM Transactions on Multimedia Computing Communications and Applications , vol. 19, no. 3s, article 133, 2023. (* corresponding author) - Jie Wu^, Runmin Cong^, Leyuan Fang, Chunle Guo, Bob Zhang, and Pedram Ghamisi,
Unpaired remote sensing image super resolution with content-preserving weak supervision neural network,
Science China Information Science , vol. 66, no. 1, pp. 119105:1-119105:2, 2023. (CCF A, ^ equal contribution) [中文导读] - Feng Li, Yixuan Wu, Huihui Bai, Weisi Lin, Runmin Cong, and Yao Zhao,
Learning detail-structure alternative optimization for blind super-resolution,
IEEE Transactions on Multimedia , vol. 25, pp. 2825-2838, 2023. [Code] - Guanghui Yue, Siying Li, Runmin Cong, Tianwei Zhou, Baiying Lei, and Tianfu Wang,
Attention-guided pyramid context network for polyp segmentation in colonoscopy images,
IEEE Transactions on Instrumentation and Measurement , vol. 72, article no. 5008213, 2023. Popular Documents in TIM (2023/04-2023/09) - Wujie Zhou, Bingying Wang, Weiqing Yan, Qiuping Jiang, and Runmin Cong,
PENet-KD: Progressive enhancement network via knowledge distillation for rail surface defect detection,
IEEE Transactions on Instrumentation and Measurement , vol. 72, article no. 5032811, 2023.
- Xiaoyu Zhang, Wei Gao, Ge Li, Qiuping Jiang, and Runmin Cong,
Image quality assessment driven reinforcement learning for mixed distorted image restoration,
ACM Transactions on Multimedia Computing Communications and Applications , vol. 19, no. 1s, article no. 42, 2023.
- Tiantian Geng, Teng Wang, Jinming Duan, Runmin Cong, and Feng Zheng,
Dense-localizing audio-visual events in untrimmed videos: A large-scale benchmark and baseline,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 22942-22951, 2023. (CCF A) [Code]
- Weiqing Yan, Yiqiu Sun, Wujie Zhou, Zhaowei Liu, and Runmin Cong,
Deep video stabilization via robust homography estimation,
IEEE Signal Processing Letters , vol. 30, pp. 1602-1606, 2023.
- Runmin Cong, Qinwei Lin, Chen Zhang, Chongyi Li, Xiaochun Cao, Qingming Huang, and Yao Zhao,
CIR-Net: Cross-modality interaction and refinement for RGB-D salient object detection,
IEEE Transactions on Image Processing , vol. 31, pp. 6800-6815, 2022. ESI Highly Cited Paper
[----Project Page----] [Code & Results] [中文讲解视频] - Runmin Cong, Yumo Zhang, Leyuan Fang, Jun Li, Yao Zhao, and Sam Kwong,
RRNet: Relational reasoning network with parallel multi-scale attention for salient object detection in optical remote sensing images,
IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 5613311, 2022. ESI Highly Cited Paper
[----Project Page----] [Code & Results] [中文讲解视频] - Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li, Cong Wang, Yao Zhao, and Sam Kwong,
BCS-Net: Boundary, context and semantic for automatic COVID-19 lung infection segmentation from CT images,
IEEE Transactions on Instrumentation and Measurement , vol. 71, pp. 1-11, 2022.
[Code & Results] - Runmin Cong, Yumo Zhang, Ning Yang, Haisheng Li, Xueqi Zhang, Ruochen Li, Zewen Chen, Yao Zhao, and Sam Kwong,
Boundary guided semantic learning for real-time COVID-19 lung infection segmentation system,
IEEE Transactions on Consumer Electronics , vol. 68, no. 4, pp. 376-386, 2022. IEEE Chester W. Sall Memorial Award (Second Place), Popular Documents in TCE (2022/10-2023/04, 2023/12-2024/01)
[Code & Results] - Qiuping Jiang, Yudong Mao, Runmin Cong, Wenqi Ren, Chao Huang, and Feng Shao,
Unsupervised decomposition and correction network for low-light image enhancement,
IEEE Transactions on Intelligent Transportation Systems , vol. 23, no. 10, pp. 19440-19455, 2022.
[Code] - Feng Li, Jia Qin, Huihui Bai, Weisi Lin, Runmin Cong, and Yao Zhao,
SRInpaintor: When super-resolution meets Transformer for image inpainting,
IEEE Transactions on Computational Imaging , vol. 8, pp. 743-758, 2022. Popular Documents in TCI (2022/08-2023/02)
- Qiuping Jiang, Yuese Gu, Chongyi Li, Runmin Cong, and Feng Shao,
Underwater image enhancement quality evaluation: Benchmark dataset and objective metric,
IEEE Transactions on Circuits and Systems for Video Technology , vol. 32, no. 9, pp. 5959-5974, 2022. ESI Highly Cited Paper, Popular Documents in TCSVT (2022/04; 2022/09-2023/04; 2023/06-2023/09, 2023/11-2023/12)
[----SAUD-Dataset & NUIQ-Metric----] - Yudong Mao, Qiuping Jiang, Runmin Cong, Wei Gao, Feng Shao, and Sam Kwong,
Cross-modality fusion and progressive integration network for saliency prediction on stereoscopic 3D images,
IEEE Transactions on Multimedia , vol. 24, pp. 2435-2448, 2022.
- Chun-Le Guo, Qixin Yan, Saeed Anwar, Runmin Cong, Wenqi Ren, and Chongyi Li,
Image dehazing transformer with transmission-aware 3D position embedding,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 5812-5820, 2022. (CCF A)
[----Project Page----] - Guanghui Yue, Wanwan Han, Bin Jiang, Tianwei Zhou, Runmin Cong, and Tianfu Wang,
Boundary constraint network with cross layer feature integration for polyp segmentation,
IEEE Journal of Biomedical and Health Informatics , vol. 26, no. 8, pp. 4090-4099, 2022.
- Zhao Wang, Feng Li, Runmin Cong, Huihui Bai, and Yao Zhao,
Adaptive feature fusion network based on boosted attention mechanism for single image dehazing,
Multimedia Tools and Applications , vol. 82, no. 1, pp. 11325-11339, 2022.
- Weiqing Yan, Kaiqi Su,Jinlai Ren, Runmin Cong, Shuai Li, and Shuigen Wang,
Sparse LiDAR and binocular stereo fusion network for 3D object detection,
The 5th Chinese Conference on Pattern Recognition and Computer Vision (PRCV) , 2022.
- Chongyi Li, Runmin Cong#, Sam Kwong, Junhui Hou, Huazhu Fu, Guopu Zhu, Dingwen Zhang, and Qingming Huang,
ASIF-Net: Attention steered interweave fusion network for RGBD salient object detection,
IEEE Transactions on Cybernetics , vol. 51, no. 1, pp. 88-100, 2021. (# co-first and corresponding author) ESI Highly Cited Paper, Popular Documents in TCyb (2020/12; 2021/01; 2021/03; 2021/04; 2021/06; 2021/12)
[Code & Results] - Qijian Zhang, Runmin Cong#, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, and Sam Kwong,
Dense attention fluid network for salient object detection in optical remote sensing images,
IEEE Transactions on Image Processing , vol. 30, pp. 1305-1317, 2021. (CCF A, # co-first and corresponding author) ESI Hot Paper, ESI Highly Cited Paper, Popular Documents in TIP (2021/01)
[----Project Page----] [EORSSD Dataset] [Code & Results] [中文讲解视频] - Zuyao Chen^, Runmin Cong^, Qianqian Xu, and Qingming Huang,
DPANet: Depth potentiality-aware gated attention network for RGB-D salient object detection,
IEEE Transactions on Image Processing , vol. 30, pp. 7012-7024, 2021. (CCF A, ^ equal contribution) ESI Highly Cited Paper
[----Project Page----] [Code & Results] [中文讲解视频] - Chen Zhang, Runmin Cong*, Qinwei Lin, Lin Ma, Feng Li, Yao Zhao, and Sam Kwong,
Cross-modality discrepant interaction network for RGB-D salient object detection,
ACM International Conference on Multimedia (ACM MM) , pp. 2094-2102, 2021. (CCF A, * corresponding author, VALSE'2021 Spotlight)
[----Project Page----] [Code & Results] - Qi Tang, Runmin Cong*, Ronghui Sheng, Lingzhi He, Dan Zhang, Yao Zhao, and Sam Kwong,
BridgeNet: A joint learning network of depth map super-resolution and monocular depth estimation,
ACM International Conference on Multimedia (ACM MM) , pp. 2148-2157, 2021. (CCF A, * corresponding author)
[----Project Page----] - Dong Jing, Shuo Zhang, Runmin Cong, and Youfang Lin,
Occlusion-aware bi-directional guided network for light field salient object detection,
ACM International Conference on Multimedia (ACM MM) , pp. 1692-1701, 2021. (CCF A) [Code]
- Hongfa Wen, Chenggang Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, and Guiguang Ding,
Dynamic selective network for RGB-D salient object detection,
IEEE Transactions on Image Processing , vol. 30, pp. 9179-9192, 2021. (CCF A) Popular Documents in TIP (2021/11) [Code]
- Chongyi Li, Saeed Anwar, Junhui Hou, Runmin Cong, Chunle Guo, and Wenqi Ren,
Underwater image enhancement via medium transmission-guided multi-color space embedding,
IEEE Transactions on Image Processing , vol. 30, pp. 4985-5000, 2021. (CCF A) ESI Highly Cited Paper, Popular Documents in TIP (2021/05-2021/07; 2021/09-2023/01; 2023/03-2024/03)
[----Project Page----] - Hua Li, Yuheng Jia, Runmin Cong, Sam Kwong, and Chuanbo Chen,
Superpixel segmentation based on spatially constrained subspace clustering,
IEEE Transactions on Industrial Informatics , vol. 17, no. 11, pp. 7501-7512, 2021.
- Hua Li, Runmin Cong*, Sam Kwong, Chuanbo Chen, Qianqian Xu, and Chongyi Li,
Stereo superpixel: An iterative framework based on parallax consistency and collaborative optimization,
Information Sciences , vol. 556, pp. 209-222, 2021. (* corresponding author)
- Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, and Yao Zhao,
Towards fast and accurate real-world depth super-resolution: Benchmark dataset and baseline,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 9229-9238, 2021. (CCF A, VALSE'2021 Spotlight)
[RGB-D-D Dataset] [Code] - Ning Yang, Qihang Zhong, Kun Li, Runmin Cong*, Yao Zhao, and Sam Kwong,
A reference-free underwater image quality assessment metric in frequency domain,
Signal Processing: Image Communication , vol. 94, pp. 1-10, 2021. (* corresponding author)
[UWIQA Dataset] (code: MVPL) [Code] - Xuan Liu, Yumo Zhang, Runmin Cong*, Chen Zhang, Ning Yang, Chunjie Zhang, and Yao Zhao,
GGRNet: Global graph reasoning network for salient object detection in optical remote sensing images,
The 4th Chinese Conference on Pattern Recognition and Computer Vision (PRCV) , pp. 584–596, 2021. (* corresponding author)
- Junkang Hu, Qiuping Jiang, Runmin Cong, Wei Gao, and Feng Shao,
Two-branch deep neural network for underwater image enhancement in HSV color space,
IEEE Signal Processing Letters , vol. 28, pp. 2152-2156, 2021. Popular Documents in SPL (2022/09; 2022/10)
- Runmin Cong, Jianjun Lei, Huazhu Fu, Junhui Hou, Qingming Huang, and Sam Kwong,
Going from RGB to RGBD saliency: A depth-guided transformation model,
IEEE Transactions on Cybernetics , vol. 50, no. 8, pp. 3627-3639, 2020. ESI Highly Cited Paper
[----Project Page----] [Code] - Qijian Zhang, Runmin Cong#, Junhui Hou, Chongyi Li, and Yao Zhao,
CoADNet: Collaborative aggregation-and-distribution networks for co-salient object detection,
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) , pp. 6959-6970, 2020. (CCF A, # co-first and corresponding author)
[----Project Page----] [Code & Results] [中文讲解视频] - Chongyi Li, Runmin Cong#, Yongri Piao, Qianqian Xu, and Chen Change Loy,
RGB-D salient object detection with cross-modality modulation and selection,
European Conference on Computer Vision (ECCV) , pp. 225-241, 2020. (# co-first and corresponding author)
[----Project Page----] [Code] - Chongyi Li, Runmin Cong#, Chunle Guo, Hua Li, Chunjie Zhang, Feng Zheng, and Yao Zhao,
A parallel down-up fusion network for salient object detection in optical remote sensing images,
Neurocomputing , vol. 415, pp. 411-420, 2020. (# co-first and corresponding author)
- Chongyi Li, Huazhu Fu, Runmin Cong*, Zechao Li, and Qianqian Xu,
NuI-Go: Recursive non-local encoder-decoder network for retinal image non-uniform illumination removal,
ACM International Conference on Multimedia (ACM MM) , pp. 1478-1487, 2020. (CCF A, * corresponding author)
[----Project Page----] - Peisong Wen, Ruolin Yang, Qianqian Xu, Chen Qian, Qingming Huang, Runmin Cong, and Jianlou Si,
DMVOS: Discriminative matching for real-time video object segmentation,
ACM International Conference on Multimedia (ACM MM) , pp. 2048-2056, 2020. (CCF A)
- Yawen Huang, Feng Zheng, Runmin Cong, Weilin Huang, Matthew R. Scott, and Ling Shao,
MCMT-GAN: Multi-task coherent modality transferable GAN for 3D brain image synthesis,
IEEE Transactions on Image Processing , vol. 29, pp. 8187-8198, 2020.
- Feng Li^, Runmin Cong^, Huihui Bai, and Yifan He,
Deep interleaved network for image super-resolution with asymmetric co-attention,
International Joint Conference on Artificial Intelligence (IJCAI) , pp. 534-543, 2020. (CCF A, ^ equal contribution)
[Code] - Ping Han, Binbin Han, Xiaoguang Lu, Runmin Cong*, and Dandan Sun,
Unsupervised classification of PolSAR images based on multi-level feature extraction,
International Journal of Remote Sensing , vol. 41, no. 2, pp. 534-548, 2020. (* corresponding author) - Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, and Dacheng Tao,
An underwater image enhancement benchmark dataset and beyond,
IEEE Transactions on Image Processing , vol. 29, pp. 4376-4389, 2020. ESI Hot Paper, ESI Highly Cited Paper, Popular Documents in TIP (2020/04-2024/03)
[----Project Page----] [UIEBD Dataset] [Code and Results] - Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, and Runmin Cong,
Zero-reference deep curve estimation for low-light image enhancement,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 1780-1789, 2020. (CCF A) [----Project Page----] [Code] - Zuyao Chen, Qianqian Xu, Runmin Cong, and Qingming Huang,
Global context-aware progressive aggregation network for salient object detection,
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) , pp. 10599-10606, 2020. (CCF A, Oral Presentation) [Code] - Chongyi Li, Chunle Guo, Jichang Guo, Ping Han, Huazhu Fu, and Runmin Cong,
PDR-Net: Perception-inspired single image dehazing network with refinement,
IEEE Transactions on Multimedia , vol. 22, no. 3, pp. 704-716, 2020. Popular Documents in TMM (2020/03-2022/05; 2020/07-2020/09; 2020/12) - Mengxin Han, Runmin Cong, Xinyu Li, Huazhu Fu, and Jianjun Lei,
Joint spatial-spectral hyperspectral image classification based on convolutional neural network,
Pattern Recognition Letters , vol. 130, pp. 38-45, 2020. ESI Highly Cited Paper - Ling Du, Anthony T.S. Ho, and Runmin Cong,
Perceptual hashing for image authentication: A survey,
Signal Processing: Image Communication , vol. 81, pp. 1-23, 2020. - 丛润民, 张禹墨, 张晨, 李重仪, 赵耀,
深度学习驱动的水下图像增强与复原研究进展,
信号处理 , 36(9): 1377-1389, 2020. 2020-2022年度优秀论文（2020年仅2篇，2/231=0.87%）、2023年中国电子学会优博论坛优秀墙报奖
- Runmin Cong, Jianjun Lei, Huazhu Fu, Weisi Lin, Qingming Huang, Xiaochun Cao, and Chunping Hou,
An iterative co-saliency framework for RGBD images,
IEEE Transactions on Cybernetics , vol. 49, no. 1, pp. 233-246, 2019.
[----Project Page----] [Results] - Runmin Cong, Jianjun Lei, Huazhu Fu, Fatih Porikli, Qingming Huang, and Chunping Hou,
Video saliency detection via sparsity-based reconstruction and propagation,
IEEE Transactions on Image Processing , vol. 28, no. 10, pp. 4819-4831, 2019. Popular Documents in TIP (2019/08)
[----Project Page----]
[Code and Results]
[Demo]
- Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, and Nam Ling,
HSCS: Hierarchical sparsity based co-saliency detection for RGBD images,
IEEE Transactions on Multimedia , vol. 21, no. 7, pp. 1660-1671, 2019.
[----Project Page----] [Code] [Results] - Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, and Qingming Huang,
Review of visual saliency detection with comprehensive information,
IEEE Transactions on Circuits and Systems for Video Technology , vol. 29, no. 10, pp. 2941-2959, 2019. ESI Highly Cited Paper, Popular Documents in TCSVT (2019/10-2020/01; 2020/03; 2020/06; 2021/01; 2021/03; 2021/05; 2021/06; 2021/11; 2022/03) - Chongyi Li, Runmin Cong#, Junhui Hou, Sanyi Zhang, Yue Qian, and Sam Kwong,
Nested network with two-stream pyramid for salient object detection in optical remote sensing images,
IEEE Transactions on Geoscience and Remote Sensing , vol. 57, no. 11, pp. 9156-9166, 2019. (# co-first and corresponding author) ESI Highly Cited Paper
[----Project Page----] [ORSSD Dataset] [中文讲解视频] - Chunle Guo, Chongyi Li, Jichang Guo, Runmin Cong, Huazhu Fu, and Ping Han,
Hierarchical features driven residual learning for depth map super-resolution,
IEEE Transactions on Image Processing , vol. 28, no. 5, pp. 2545-2557, 2019. [----Project Page----] - Hua Li, Sam Kwong, Chuanbo Chen, Yuheng Jia, and Runmin Cong,
Superpixel segmentation based on square-wise asymmetric segmentation and structural approximation,
IEEE Transactions on Multimedia , vol. 21, no. 10, pp. 2625-2637, 2019. - Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, and Chunping Hou,
Co-saliency detection for RGBD images based on multi-constraint feature matching and cross label propagation,
IEEE Transactions on Image Processing , vol. 27, no. 2, pp. 568-579, 2018.
[----Project Page----] [Dataset] [Results] - 丛润民, 雷建军, 付华柱, 王文冠, 黄庆明, 牛力杰,
视频显著性检测研究进展,
软件学报 , 29(8): 2527−2544, 2018. (CCF A, EI, 第十五届北京青年优秀科技论文奖) - Yonghua Zhang, Liang Li, Runmin Cong, Xiaojie Guo, Hui Xu, and Jiawan Zhang,
Co-saliency detection via hierarchical consistency measure,
IEEE International Conference on Multimedia & Expo (ICME) , pp. 1-6, 2018. Oral Presentation, Best Student Paper Runner-Up (rate: 2/582) - Min Ni, Jianjun Lei, Runmin Cong*, Kaifu Zheng, Bo Peng, and Xiaoting Fan,
Color-guided depth map super resolution using convolutional neural network,
IEEE Access , vol. 2, pp. 26666-26672, 2017. (* corresponding author) - Chongyi Li, Jichang Guo, Chunle Guo, Runmin Cong, and Jiachang Gong,
A hybrid method for underwater image correction,
Pattern Recognition Letters , vol. 94, pp. 62-67, 2017. - Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao, and Chunping Hou,
Saliency detection for stereoscopic images based on depth confidence analysis and multiple cues fusion,
IEEE Signal Processing Letters , vol. 23, no. 6, pp. 819-823, 2016. Popular Documents in SPL (2016/05-2016/10)
[----Project Page----] [Code] - Runmin Cong, Ping Han, Chongyi Li, Jiaji He, and Zaiji Zhang,
Manmade target extraction based on multi-stage decision and its application for change detection in polarimetric synthetic aperture radar image,
Journal of Electronic Imaging , vol. 25, no. 5, pp. 1-13, 2016. - Chongyi Li, Jichang Guo, Runmin Cong, Yanwei Pang, and Bo Wang,
Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior,
IEEE Transactions on Image Processing , vol. 25, no. 12, pp. 5664-5677, 2016. ESI Highly Cited Paper, Popular Documents in TIP (2022/10) [Code] - Chongyi Li, Jichang Guo, Bo Wang, Runmin Cong, Yan Zhang, and Jian Wang,
Single underwater image enhancement based on color cast removal and visibility restoration,
Journal of Electronic Imaging , vol. 25, no. 3, pp. 1-16, 2016.
- 一种立体视觉显著性检测方法，专利号：ZL 201610244589.9，申请日：2016.04.19，授权公告日：2018.08.31
- 一种RGB-D图像显著性目标检测方法，专利号：ZL 202110872457.1，申请日：2021.07.30，授权公告日：2023.07.28
- 一种RGB-D图像显著性目标检测方法，专利号：ZL 202010199264.X，申请日：2020.03.20，授权公告日：2023.08.30
- 一种图间显著性检测方法，专利号：ZL 201710942099.0，申请日：2017.10.11，授权公告日：2021.04.16
- 一种深度图可靠性评价测度方法，专利号：ZL 201610242241.6，申请日：2016.04.19，授权公告日：2018.08.10
- 一种迭代协同显著性检测方法，专利号：ZL 201711064083.0，申请日：2017.11.02，授权公告日：2021.06.04
- 一种协同显著性检测方法，专利号：ZL 201710942783.9，申请日：2017.10.11，授权公告日：2021.06.04
- 一种深度形状先验提取方法，专利号：ZL 201711065005.2，申请日：2017.11.02，授权公告日：2021.04.30
- 一种 RGBD 图像协同显著性检测方法，专利号：ZL 201810879724.6，申请日：2018.08.03，授权公告日：2021.09.17
- 一种RGB显著性到RGBD显著性的转换方法，专利号：ZL 201910375809.5，申请日：2019.05.07，授权公告日：2023.04.18
- 一种视频显著性检测方法，专利号：ZL 201910266112.4，申请日：2019.04.03，授权公告日：2023.02.07
- 一种立体图像重定向方法，专利号：ZL 201610874827.4，申请日：2016.09.30，授权公告日：2019.12.06
- 一种深度视频快速帧内编码方法，专利号：ZL 201810317701.6，申请日：2018.04.10，授权公告日：2021.04.30
- 一种联合场景和运动多特征的视频行为聚类方法，专利号：ZL 201810962264.3，申请日：2018.08.22，授权公告日：2021.06.04
- 深度图超分辨率重建方法，专利号：ZL 201610727602.6，申请日：2016.08.25，授权公告日：2019.10.18
- 一种2D转3D深度估计方法，专利号：ZL 201610780883.1，申请日：2016.08.31，授权公告日：2019.06.04
- 一种立体图像匹配图计算方法，专利号：ZL 201610780786.2，申请日：2016.08.31，授权公告日：2019.05.31
- 一种基于最优化颜色修正和回归模型的水下图像复原方法，专利号：ZL 201610606187.9，申请日：2016.07.25，授权公告日：2019.03.29
- 一种屏幕内容与自然内容划分及快速编码方法，专利号：ZL 201611031480.3，申请日：2016.11.18，授权公告日：2019.01.29
- 一种基于虚拟视点绘制质量的深度图上采样方法，专利号：ZL 201610751851.9，申请日：2016.08.27，授权公告日：2019.08.02
- 一种基于协同注意力的草图图像检索方法，专利号：ZL 201910746351.X，申请日：2019.08.13，授权公告日：2022.11.15
- 一种基于半异构联合嵌入网络的草图图像检索方法，专利号：ZL 201910746354.3 申请日：2019.08.13，授权公告日：2022.12.02
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Here are the Impact Factors (IF) of selected journals of my publications.
- IEEE Transactions on Cybernetics (TCyb): 19.118
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS): 14.255
- IEEE Transactions on Industrial Informatics (TII): 11.648
- IEEE Transactions on Image Processing (TIP): 11.041
- IEEE Transactions on Intelligent Transportation Systems (TITS): 9.551
- IEEE Transactions on Multimedia (TMM): 8.182
- IEEE Transactions on Geoscience and Remote Sensing (TGRS): 8.125
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT): 5.859
- IEEE Transactions on Automation Science and Engineering (TASE): 5.6
- IEEE Transactions on Instrumentation and Measurement (TIM): 5.332
- IEEE Transactions on Computational Imaging (TCI): 4.708
- IEEE Transactions on Consumer Electronics (TCE): 4.414
- IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI): 4.851
- IEEE Journal of Biomedical and Health Informatics (JBHI): 7.021
- SCIENCE CHINA Information Sciences (SCIS): 7.275
- ACM Transactions on Multimedia Computing Communications and Applications (TOMM): 4.094
- Information Sciences: 8.233
- Neurocomputing: 5.779
- Pattern Recognition Letters (PRL): 4.757
- IEEE Signal Processing Letters (SPL): 3.201
- International Journal of Remote Sensing (IJRS): 3.531
- Signal Processing: Image Communication (SPIC): 3.453
- Multimedia Tools and Applications (MTAP): 2.577
- Journal of Electronic Imaging (JEI): 0.829
- IEEE Transactions on Cybernetics (TCyb): 19.118
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS): 14.255
- IEEE Transactions on Industrial Informatics (TII): 11.648
- IEEE Transactions on Image Processing (TIP): 11.041
- IEEE Transactions on Intelligent Transportation Systems (TITS): 9.551
- IEEE Transactions on Multimedia (TMM): 8.182
- IEEE Transactions on Geoscience and Remote Sensing (TGRS): 8.125
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT): 5.859
- IEEE Transactions on Automation Science and Engineering (TASE): 5.6
- IEEE Transactions on Instrumentation and Measurement (TIM): 5.332
- IEEE Transactions on Computational Imaging (TCI): 4.708
- IEEE Transactions on Consumer Electronics (TCE): 4.414
- IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI): 4.851
- IEEE Journal of Biomedical and Health Informatics (JBHI): 7.021
- SCIENCE CHINA Information Sciences (SCIS): 7.275
- ACM Transactions on Multimedia Computing Communications and Applications (TOMM): 4.094
- Information Sciences: 8.233
- Neurocomputing: 5.779
- Pattern Recognition Letters (PRL): 4.757
- IEEE Signal Processing Letters (SPL): 3.201
- International Journal of Remote Sensing (IJRS): 3.531
- Signal Processing: Image Communication (SPIC): 3.453
- Multimedia Tools and Applications (MTAP): 2.577
- Journal of Electronic Imaging (JEI): 0.829