About

Since April 2021, I am an associate professor (Doctoral Advisor) in the School of Computer Science and Technology, Harbin Institute of Technology. Before that, I was an assistant professor in the College of Intelligence and Computing, Tianjin University. I received the Bachelor degree and the Master degree from Harbin Institute of Technology in 2011 and 2013. I received joint Ph.D. degrees from Harbin Institute of Technology and The Hong Kong Polytechnic University supervised by Prof. Wangmeng Zuo and Prof. David Zhang in 2018. My research interests include computer vision and deep learning.

Address

J1621, HIT Science Park, Harbin Institute of Technology, Harbin, 150001, China.

rendongweihit@gmail.com and csdren@hit.edu.cn

Selected Publications

• W. Shang, D. Ren*, C. Feng, X. Wang, L. Lei, W. Zuo, "Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive", in International Conference on Computer Vision (ICCV) , 2023. pdf and code
• W. Shang, D. Ren*, Y. Yang, H. Zhang, K. Ma, W. Zuo, "Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2023. pdf and code
• Y. Li, D. Ren*, X. Shu, W. Zuo, "Learning Single Image Defocus Deblurring with Misaligned Training Pairs", in AAAI Conference on Artificial Intelligence (AAAI), 2023. pdf and code
• X. Cui, C. Wang, D. Ren*, Y. Chen, P. Zhu, "Semi-supervised Image Deraining Using Knowledge Distillation", IEEE Transactions on Circuits and Systems for Video Technology, 2022. pdf and code
• Y. Cao, Z. Wan, D. Ren*, Z. Yan, W. Zuo, "Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. pdf and code
• Z. Yan, P. Li, B. Wang, D. Ren*, W. Zuo, "Towards Learning Multi-domain Crowd Counting", IEEE Transactions on Circuits and Systems for Video Technology, 2021. pdf and code
• W. Shang, D. Ren*, D. Zou, J. Ren, P. Luo, W. Zuo, "Bringing Events into Video Deblurring with Non-consecutively Blurry Frames", in International Conference on Computer Vision (ICCV), 2021. pdf, supp and code
• Z. Zheng, P. Wang, D. Ren*, W. Liu, R. Ye, Q. Hu, W. Zuo, "Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation", IEEE Transactions on Cybernetics, 2021. pdf and code
• D. Ren, W. Shang, P. Zhu, Q. Hu, D. Meng, W. Zuo, "Single Image Deraining Using Bilateral Recurrent Network", IEEE Transactions on Image Processing, 2020. pdf and code
• D. Ren, K. Zhang, Q. Wang, Q. Hu, W. Zuo, "Neural Blind Deconvolution Using Deep Priors", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. pdf, supp and code
• Z. Zheng, P. Wang, W. Liu, J. Li, R. Ye, D. Ren*, "Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression", in AAAI Conference on Artificial Intelligence (AAAI), 2020. pdf and code
• D. Ren, W. Zuo, D. Zhang, L. Zhang, M. H. Yang, "Simultaneous Fidelity and Regularization Learning for Image Restoration", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. pdf, supp and code
• D. Ren, W. Zuo, Q. Hu, P. Zhu, D. Meng, "Progressive Image Deraining Networks: A Better and Simpler Baseline", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. pdf, supp and code
• D. Ren, W. Zuo, D. Zhang, J. Xu, L. Zhang, "Partial Deconvolution with Inaccurate Blur Kernel", IEEE Transactions on Image Processing, 2018. pdf
• W. Zuo, D. Ren, D. Zhang, S. Gu, L. Zhang, "Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution", IEEE Transactions on Image Processing, 2016. pdf and code
• D. Ren, H. Zhang, D. Zhang, W. Zuo, "Fast Total-Variation Based Image Restoration Based on Derivative Alternated Direction Optimization Methods", Neurocomputing, 2015. pdf and code 
• W. Zuo, D. Ren, S. Gu, L. Lin, L. Zhang, "Discriminative Learning of Iteration-wise Priors for Blind Deconvolution", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
• D. Ren, W. Zuo, X. Zhao, Z. Lin, D. Zhang, "Fast Gradient Vector Flow Computation Based on Augmented Lagrangian Method", Pattern Recognition Letters, 2013.  pdf and code