Publications

International Conferences

• Jiafeng Mao, Xueting Wang and Kiyoharu Aizawa

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

  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

  ECCV 2024

• Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki

  Dealing with Synthetic Data Contamination in Online Continual Learning

  NeruIPS 2024

• Jiafeng Mao, Xueting Wang and Kiyoharu Aizawa

  Guided Image Synthesis via Initial Image Editing in Diffusion Model

  ACM MM 2023 Paper

• Jiafeng Mao and Xueting Wang

  Training-Free Location Aware Text-to-Image Synthesis

  ICIP 2023(Oral) Paper

• Jiafeng Mao, Qing Yu, Go Irie and Kiyoharu Aizawa

  Noise-Avoidance Sampling for Annotation Missing Object Detection

  ICIP 2023 Paper

• Jiafeng Mao, Qing Yu, Yoko Yamakata and Kiyoharu Aizawa

  Noisy Annotation Refinement for Object Detection

  BMVC 2021 Paper

• Jiafeng Mao, Qing Yu and Kiyoharu Aizawa

  Noisy Localization Annotation Refinement for Object Detection

  ICIP 2020(Oral) Paper

Domestic Conferences

• Jiafeng Mao, Xueting Wang and Kiyoharu Aizawa

  Towards Semantic-Driven Initialization: Winning Tickets in Initial Noise

  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

  MIRU 2024 (Oral)

• Sandra ZHANG DING, Jiafeng Mao and Kiyoharu Aizawa

  Latent Optimization for Training-Free Sketch-Guided Diffusion

  MIRU 2024 (Oral)

• Jiafeng Mao, Qing Yu and Kiyoharu Aizawa

  Noise-Resistant Training for Object Detection

  MIRU 2021

• Jiafeng Mao, Qing Yu and Kiyoharu Aizawa

  Training Object Detectors with Noisy Localization Annotation Refinement

  MIRU 2020 (Oral)