李成华

Email:lichenghua@njfu.edu.cn

办公电话:

研究领域:图像增强、多模态大模型及其应用

职务:

系科:智能科学技术系

个人简历:

研究方向为图像增强、多模态大模型及其应用。迄今已在计算机视觉与模式识别领域的重要期刊和会议(如TCSVT,CVM,ICVRV,CVPR、ECCV Workshops等)发表学术论文20余篇,并带领团队在NTIRE、AIM等图像视频处理领域国际顶级竞赛中荣获冠亚季军10余项,担任中国图象图形学会会员。

论文和专著:

Shengxiao Zhou, Chenghua Li*, Jianhao Huang, Peisong Wang. Perspective-Aware Inpainting: Bridging Large Viewpoint Gaps for Reference-Guided Inpainting. ICVRV, 2025. (CCF-C)

张钏钰,李成华*.多模态大语言模型位置感知记忆增强方法.中国电子科学研究院学报, 2025, pp. 1-14.(北大核心) 链接:https://link.cnki.net/urlid/11.5401.TN.20250314.0928.002

Chenghua Li, Bo Yang, Zhiqi Wu, Gao Chen, Yihan Yu, Shengxiao Zhou. "Shadow removal based on diffusion, segmentation and super-resolution models". Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 6045-6054.

Xiaoyi Dong, Yu Zhu, Chenghua Li*, Peisong Wang, Jian Cheng. "RISPNet: a network for reversed image signal processing". European Conference on Computer Vision (ECCV) Workshops, 2022: 445-457.(获得国际竞赛AIM逆向ISP任务双赛道亚军)

Zhuolong Jiang, Chengzhi Shen, Chenghua Li*, Hongzhi Liu, Wei Chen. "Noise Map Guided Inpainting Network for Low-Light Image Enhancement". Chinese Conference Pattern Recognition and Computer Vision (PRCV), 2021: 201-213. (CCF-C)

Qian Ming, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li*, Cong Leng, Jian Cheng. "BGGAN: Bokeh-glass generative adversarial network for rendering realistic bokeh". European Conference on Computer Vision (ECCV) Workshops, 2020: 229-244.(获得国际竞赛AIM背景虚化渲染任务双赛道冠军)

Zhu Yu, Zhenyu Guo, Tian Liang, Xiangyu He, Chenghua Li*, Cong Leng, Bo Jiang, Yifan Zhang, Jian Cheng. "EEDNet: Enhanced Encoder-Decoder Network for AutoISP". European Conference on Computer Vision (ECCV) Workshops, 2020: 171-184.(获得国际竞赛AIM自适应ISP任务冠军)

Liping Dong, Yu Zhu, Zhuolong Jiang, Xiangyu He, Zhaohui Meng, Chenghua Li*, Cong Leng, Jian Cheng. "BGGAN: Bokeh-glass generative adversarial network for rendering realistic bokeh". European Conference on Computer Vision(ECCV) Workshops, 2020: 581-595.(获得国际竞赛AIM重光照任务冠军)

Shuai Liu, Chenghua Li*, Nan Nan, Ziyao Zong, Ruixia Song. "MMDM: Multi-frame and multi-scale for image demoiréing". Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, pp.434-435.(获得国际竞赛NTIRE图像去摩尔纹、图像去噪任务双亚军)

Ruipeng Gang, Shuai Liu, Chenghua Li*, Ruixia Song. "ASSR: A Lightweight Super Resolution Network with Aggregative Structure". 2019 IEEE/CVF International Conference on Computer Vision (ICCV) Workshop, 2019: 1-10.(获得AIM参数量约束条件下图像超分竞赛冠军)

Chunjie Zhang, Chenghua Li, Dongyuan Lu, Jian Cheng, Qi Tian. "Birds of a feather flock together: Visual representation with scale and class consistency". Information Sciences 460 (2018): 115-127. (SCIE,中科院2区)

Shuai Liu, Ruipeng Gang, Chenghua Li*, Ruixia Song. "Adaptive deep residual network for single image super-resolution". Computational Visual Media (CVM), 2019, 5: 391-401. (SCIE,中科院2区)

Chenghua Li, Qiang Song, Yuhang Wang, Hang Song, Qi Kang, Jian Cheng, Hanqing Lu. Learning to recognition from Bing Clickture data. ICME Workshops 2016: 1-4.(获得微软图像识别竞赛IRC冠军)


教授课程:

机器视觉算法与应用,2025-2026-1. (选修)