Publications

International Conferences

• Jiafeng Mao, Xueting Wang and Kiyoharu Aizawa. The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization, in ECCV 2024. Paper

• Zerun Wang, Liuyu Xiang, Lang Huang, Jiafeng Mao, Ling Xiao and Toshihiko Yamasaki. SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning, in ECCV 2024.

• Jiafeng Mao, Xueting Wang and Kiyoharu Aizawa. Guided Image Synthesis via Initial Image Editing in Diffusion Model, in ACM MM 2023. Paper

• Jiafeng Mao and Xueting Wang. Training-Free Location Aware Text-to-Image Synthesis, in ICIP 2023. Paper

• Jiafeng Mao, Qing Yu, Go Irie and Kiyoharu Aizawa. Noise-Avoidance Sampling for Annotation Missing Object Detection, in ICIP 2023. Paper

• Jiafeng Mao, Qing Yu, Yoko Yamakata and Kiyoharu Aizawa. Noisy Annotation Refinement for Object Detection, in BMVC 2021. Paper

• Jiafeng Mao, Qing Yu and Kiyoharu Aizawa. Noisy Localization Annotation Refinement for Object Detection, in ICIP 2020. Paper

Domestic Conferences

• Jiafeng Mao, Xueting Wang and Kiyoharu Aizawa. Towards Semantic-Driven Initialization: Winning Tickets in Initial Noise, in MIRU 2024 (Oral).

• 池内 健心, 毛 家豊, 郁 青, 入江 豪 and 相澤 清晴. 追加学習された拡散モデルに対するメンバーシップ推論, in MIRU 2024 (Oral)

• Sandra ZHANG DING, Jiafeng Mao and Kiyoharu Aizawa. Latent Optimization for Training-Free Sketch-Guided Diffusion, in MIRU 2024 (Oral)