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Fengshan Zhao
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2020 – today
- 2025
[j2]Fengshan Zhao, Qin Liu, Takeshi Ikenaga:
HDR-VDA: A Full Stage Data Augmentation Method for HDR Video Reconstruction. IEICE Trans. Inf. Syst. 108(1): 48-58 (2025)
[c6]Ziyang Li, Qin Liu, Fengshan Zhao, Yujie Wang, Takeshi Ikenaga:
Dataset Quantization Augmentation: Improving Dataset Compression Through Complexity-Guided Sampling and Augmentation. ICME 2025: 1-6
[c5]Yujie Wang, Fengshan Zhao, Wuyou Zhou, Zheyi Li, Ziyang Li, Qin Liu, Takeshi Ikenaga:
ShadowAug: A Multi-Strategy Data Augmentation Method for Image Shadow Removal. MVA 2025: 1-5
[c4]Wuyou Zhou, Fengshan Zhao, Yujie Wang, Qin Liu, Takeshi Ikenaga:
IRR-RADA: A Reflection-Aware Saliency Map and Adaptive Curriculum Learning Based Data Augmentation Method for Image Reflection Removal. MVA 2025: 1-5- 2024
[j1]Fengshan Zhao
, Qin Liu, Takeshi Ikenaga:
Semi-supervised attention based merging network with hybrid dilated convolution module for few-shot HDR video reconstruction. Multim. Tools Appl. 83(13): 37409-37430 (2024)
[c3]Yiyu Liu, Fengshan Zhao, Qin Liu, Takeshi Ikenaga:
Multi-Level Spatial-Temporal Feature Aggregation and Alignment-Based Selective Residual Dense Propagation Module for HDR Video Reconstruction. ICASSP 2024: 4270-4274- 2023
[c2]Fengshan Zhao, Qin Liu, Takeshi Ikenaga:
HDR-LMDA: A Local Area-Based Mixed Data Augmentation Method for Hdr Video Reconstruction. ICIP 2023: 2020-2024
[c1]Haorong Jiang, Fengshan Zhao, Junda Liao, Qin Liu, Takeshi Ikenaga:
Multi-Prior Based Multi-Scale Condition Network for Single-Image HDR Reconstruction. MVA 2023: 1-5
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