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Yidan Feng
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2020 – today
- 2024
- [j9]Haoneng Lin, Jing Zou, Kang Wang, Yidan Feng, Cheng Xu, Jun Lyu, Jing Qin:
Dual-space high-frequency learning for transformer-based MRI super-resolution. Comput. Methods Programs Biomed. 250: 108165 (2024) - [c9]Sen Deng, Yidan Feng, Haoneng Lin, Yiting Fan, Alex Pui-Wai Lee, Xiaowei Hu, Jing Qin:
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting. AAAI 2024: 11757-11765 - [c8]Yidan Feng, Bingchen Gao, Sen Deng, Anqi Qiu, Jing Qin:
Unified Multi-modal Learning for Any Modality Combinations in Alzheimer's Disease Diagnosis. MICCAI (3) 2024: 487-497 - 2022
- [j8]Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
Contrastive Semantic-Guided Image Smoothing Network. Comput. Graph. Forum 41(7): 335-346 (2022) - [j7]Xiaoge He, Yidan Feng, Qian Xie, Jun Wang:
Low-rank appearance-preserving rain streak removal from single images. Commun. Inf. Syst. 22(1): 79-102 (2022) - [j6]Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi-Wing Fu, Yichuan Li, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng:
A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking. IEEE Robotics Autom. Lett. 7(2): 3961-3968 (2022) - [j5]Yidan Feng, Sen Deng, Xuefeng Yan, Xin Yang, Mingqiang Wei, Ligang Liu:
Easy2Hard: Learning to Solve the Intractables From a Synthetic Dataset for Structure-Preserving Image Smoothing. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7223-7236 (2022) - [c7]Yiyang Shen, Yidan Feng, Weiming Wang, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei:
MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal. ICASSP 2022: 3418-3422 - [c6]Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng:
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. ICRA 2022: 405-411 - [c5]Biqi Yang, Xiaojie Gao, Kai Chen, Rui Cao, Yidan Feng, Xianzhi Li, Qi Dou, Chi-Wing Fu, Yun-Hui Liu, Pheng-Ann Heng:
SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking. IROS 2022: 5987-5994 - [i6]Fu Lee Wang, Yidan Feng, Haoran Xie, Gary Cheng, Mingqiang Wei:
When A Conventional Filter Meets Deep Learning: Basis Composition Learning on Image Filters. CoRR abs/2203.00258 (2022) - [i5]Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng:
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. CoRR abs/2203.02767 (2022) - [i4]Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
Contrastive Semantic-Guided Image Smoothing Network. CoRR abs/2209.00977 (2022) - 2021
- [j4]Chong Liu, Yidan Feng, Cui Yang, Mingqiang Wei, Jun Wang:
Multi-scale selective image texture smoothing via intuitive single clicks. Signal Process. Image Commun. 97: 116357 (2021) - [j3]Mingqiang Wei, Yidan Feng, Honghua Chen:
Selective Guidance Normal Filter for Geometric Texture Removal. IEEE Trans. Vis. Comput. Graph. 27(12): 4469-4482 (2021) - [c4]Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu:
Adaptive Graph Convolution for Point Cloud Analysis. ICCV 2021: 4945-4954 - [c3]Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin:
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. IJCAI 2021: 650-656 - [i3]Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin:
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. CoRR abs/2106.07941 (2021) - [i2]Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu:
Adaptive Graph Convolution for Point Cloud Analysis. CoRR abs/2108.08035 (2021) - 2020
- [j2]Zhiqi Li, Yingkui Zhang, Yidan Feng, Xingyu Xie, Qiong Wang, Mingqiang Wei, Pheng-Ann Heng:
NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising. Comput. Aided Des. 127: 102861 (2020) - [c2]Haoran Zhou, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, Jun Wang:
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud. CVPR 2020: 13235-13244 - [c1]Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, Meng Wang:
Detail-recovery Image Deraining via Context Aggregation Networks. CVPR 2020: 14548-14557 - [i1]Yiyang Shen, Yidan Feng, Sen Deng, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei:
MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images. CoRR abs/2005.10582 (2020)
2010 – 2019
- 2018
- [j1]Mingqiang Wei, Yidan Feng, Weiming Wang, Haoran Xie, Fu Lee Wang:
基于区间梯度的联合双边滤波图像纹理去除方法 (Interval Gradient Based Joint Bilateral Filtering for Image Texture Removal). 计算机科学 45(3): 29-34 (2018)
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