Areas of Focus
- 心理信息学
- 计算认知文化心理学
- 生态心理学
- 计算机视觉
- 图像处理
Work Experience
- 2022-2024 - 清华大学 - 助理研究员/博士后
Academic Background & Achievements
- 博士: 京都大学
- Google Scholar引用: 350+
Publications
- Informatics Approaches for Understanding Human Facial Attractiveness Perception and Visual Attention, 童松, 2021
- Inferring Affective Experience from the Big Picture Metaphor: A Two-dimensional Visual Breadth Model, 童松, 段景怡, 梁雪峰, 熊田孝恒, 彭凯平, 中岛隆, 2023
- Detecting the Attention Scopes from Travel Photos, 童松, 梁雪峰, 熊田孝恒, 张鹏, 彭凯平, 2022
- Wide or narrow? A visual attention-inspired model for view-type classification, 童松, Loh, Y., 梁雪峰, 熊田孝恒, 2019
- Visual attention inspired distant view and close-up view classification, 童松, Loh, Y., 梁雪峰, 熊田孝恒, 2016
- Understanding scenery quality: A visual attention measure and its computational model, Loh, Y., 童松, 梁雪峰, 熊田孝恒, Seng Chan, C., 2017
- Understanding the Photo-shooting Patterns of Sightseeing, 梁雪峰, 童松, 熊田孝恒, Loh, Y. P., 2019
- Photo shot-type disambiguation by multi-classifier semi-supervised learning, 刘洋, 梁雪峰, 童松, 熊田孝恒, 2019
- Happy travelers take big pictures: A psychological study with machine learning and big data, 梁雪峰, Fan, L., Loh, Y. P., 刘洋, 童松, 2017
- Putative ratios of facial attractiveness in a deep neural network, 童松, 梁雪峰, 熊田孝恒, 岩木, S., 2021
- Learning the cultural consistent facial aesthetics by convolutional neural network, 童松, 梁雪峰, 熊田孝恒, 岩木, S., 户佐, N., 2017
- Golden ratio: The attributes of facial attractiveness learned by CNN, 梁雪峰, 童松, 熊田孝恒, 岩木, S., 2019
- Multifocus image fusion based on NSCT and focused area detection, 杨勇, 童松, 黄淑英, 林鹏, 2014
- Dual-tree complex wavelet transform and image block residual-based multi-focus image fusion in visual sensor networks, 杨勇, 童松, 黄淑英, 林鹏, 2014
- Log-Gabor energy based multimodal medical image fusion in NSCT domain, 杨勇, 童松, 黄淑英, 林鹏, 2014
- A hybrid method for multi-focus image fusion based on fast discrete curvelet transform, 杨勇, 童松, 黄淑英, 林鹏, 方志军, 2017
- 快速离散 Curvelet 变换域的图像融合, 杨勇, 童松, 黄淑英, 2015
- 一种 NSCT 域多聚焦图像融合新方法, 杨勇, 童松, 黄淑英, 方志军, 杨寿渊, 2014
- Natural Language Processing Algorithms for Divergent Thinking Assessment, Lee, H, Zhou, W., Bai H.H., Meng W., Zeng, T., 彭凯平, 童松, 熊田孝恒, 2022
- The Impact of 'Emotion Grammar' on the Veracity of News Headlines: Evidence from Machine Learning, 周晓, 童松, 刘瑞, 王非, 彭凯平, 2022
Awards
- 2022: IEEE国际信息技术和生物医学工程最佳会议论文
- 2022: 清华大学-东京大学认知智能奖学金
- 2022-2024: 国家“博士后国际交流计划”入选者
- 2022-2024: 清华大学“水木学者”
- 2022-2024: 清华大学“支持基础文科”博士后
- 2017: IEEE国际文化与计算会议委员会优秀论文提名奖
- 2016: 日本电气通信财团旅费援助金
- 2016-2021: 教育部留学基金(CSC)公派读博奖学金
- 2014, 2015: 研究生优秀科研成果奖励
- 2014: 研究生优秀创新计划