Jiafeng Mao

According to our database, Jiafeng Mao authored at least 26 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

SAS: Semantic-aware Sampling for Generative Dataset Distillation.

Mingzhuo Li, Guang Li, Linfeng Ye, Jiafeng Mao, Takahiro Ogawa, Konstantinos N. Plataniotis, Miki Haseyama

CoRR, May, 2026

Difficulty-guided Sampling: Bridging the Target Gap between Dataset Distillation and Downstream Tasks.

Mingzhuo Li, Guang Li, Linfeng Ye, Jiafeng Mao, Takahiro Ogawa, Konstantinos N. Plataniotis, Miki Haseyama

CoRR, January, 2026

An FVF-CFFRC hybrid LDO for high PSR and fast transient response.

Shangzheng Yang, Haitao Cui, Jiafeng Mao, Kefan Qin, Wei Ma, Weibo Hu

Microelectron. J., 2026

A high PSR LDO with current amplifier based feed-forward ripple cancellation technique achieving 20 dB enhancement at 1 MHz.

Shangzheng Yang, Haitao Cui, Jiafeng Mao, Kefan Qin, Weibo Hu

Microelectron. J., 2026

Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data.

Zerun Wang, Jiafeng Mao, Xueting Wang, Toshihiko Yamasaki

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Region-Wise Correspondence Prediction between Manga Line Art Images.

Yingxuan Li, Jiafeng Mao, Qianru Qiu, Yusuke Matsui

CoRR, September, 2025

Noisy Label Refinement with Semantically Reliable Synthetic Images.

Yingxuan Li, Jiafeng Mao, Yusuke Matsui

CoRR, September, 2025

MangaDiT: Reference-Guided Line Art Colorization with Hierarchical Attention in Diffusion Transformers.

Qianru Qiu, Jiafeng Mao, Kento Masui, Xueting Wang

CoRR, August, 2025

LORE: Latent Optimization for Precise Semantic Control in Rectified Flow-based Image Editing.

Liangyang Ouyang, Jiafeng Mao

CoRR, August, 2025

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory.

Mingzhuo Li, Guang Li, Jiafeng Mao, Takahiro Ogawa, Miki Haseyama

CoRR, May, 2025

Exploring Palette based Color Guidance in Diffusion Models.

Qianru Qiu, Jiafeng Mao, Xueting Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling.

Mingzhuo Li, Guang Li, Jiafeng Mao, Linfeng Ye, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Training Data Synthesis with Difficulty Controlled Diffusion Model.

Zerun Wang, Jiafeng Mao, Xueting Wang, Toshihiko Yamasaki

CoRR, 2024

Reward Incremental Learning in Text-to-Image Generation.

Maorong Wang, Jiafeng Mao, Xueting Wang, Toshihiko Yamasaki

CoRR, 2024

Training-Free Sketch-Guided Diffusion with Latent Optimization.

Sandra Zhang Ding, Jiafeng Mao, Kiyoharu Aizawa

CoRR, 2024

From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data.

Zerun Wang, Jiafeng Mao, Liuyu Xiang, Toshihiko Yamasaki

CoRR, 2024

Dealing with Synthetic Data Contamination in Online Continual Learning.

Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SCOMatch: Alleviating Overtrusting in Open-Set Semi-supervised Learning.

Zerun Wang, Liuyu Xiang, Lang Huang, Jiafeng Mao, Ling Xiao, Toshihiko Yamasaki

Proceedings of the Computer Vision - ECCV 2024, 2024

The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization.

Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Semantic-Driven Initial Image Construction for Guided Image Synthesis in Diffusion Model.

Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa

CoRR, 2023

Guided Image Synthesis via Initial Image Editing in Diffusion Model.

Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Noise-Avoidance Sampling for Annotation Missing Object Detection.

Jiafeng Mao, Qing Yu, Go Irie, Kiyoharu Aizawa

Proceedings of the IEEE International Conference on Image Processing, 2023

Training-Free Location-Aware Text-to-Image Synthesis.

Jiafeng Mao, Xueting Wang

Proceedings of the IEEE International Conference on Image Processing, 2023

2021

Noisy Annotation Refinement for Object Detection.

Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding.

Yutai Hou, Jiafeng Mao, Yongkui Lai, Cheng Chen, Wanxiang Che, Zhigang Chen, Ting Liu

CoRR, 2020

Noisy Localization Annotation Refinement For Object Detection.

Jiafeng Mao, Qing Yu, Kiyoharu Aizawa

Proceedings of the IEEE International Conference on Image Processing, 2020