任冬伟 - 哈尔滨工业大学

个人简介

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.

研究领域

主要从事计算机视觉、机器学习等方面的研究

近期论文

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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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. D. Ren, W. Zuo, D. Zhang, J. Xu, L. Zhang, "Partial Deconvolution with Inaccurate Blur Kernel", IEEE Transactions on Image Processing, 2018. 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. D. Ren, H. Zhang, D. Zhang, W. Zuo, "Fast Total-Variation Based Image Restoration Based on Derivative Alternated Direction Optimization Methods", Neurocomputing, 2015. 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.