Jiafeng Mao

According to our database, Jiafeng Mao authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

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

Qianru Qiu, Jiafeng Mao, Kento Masui, Xueting Wang

CoRR, August, 2025

Exploring Palette based Color Guidance in Diffusion Models.

Qianru Qiu, Jiafeng Mao, 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

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

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

CoRR, July, 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

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 38: 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 Localization Annotation Refinement for Object Detection.

Jiafeng Mao, Qing Yu, Kiyoharu Aizawa

IEICE Trans. Inf. Syst., 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