I obtained my PhD degree at School of Computer Science, The University of Adelaide, under the supervision of Prof. Chunhua Shen. My major research interests are about computer vision with its application on dense prediction and data-effcient learning.

Email: yutong(dot)dai2023(at)outlook(dot)com

Education

• Ph.D., The University of Adelaide, Australia, 2018-2022
• M.S., Southeast University, China, 2015-2018
• B.S., Nanjing Normal University, China, 2011-2015

Experience

• Postdoctoral Researcher, Australian Institute for Machine Learning(AIML), 2022-2023
• Research Intern, Adobe Research, 2021
• Student Tutor, University of Adelaide, 2019-2021
• Teaching Assistant, Southeast University, 2015

Publications

Indices Matter: Learning to Index for Deep Image Matting

Hao Lu, Yutong Dai, Chunhua Shen, Songceng Xu. (2019). "Indices Matter: Learning to Index for Deep Image Matting." ICCV. 2019.

Index Networks

Hao Lu, Yutong Dai, Chunhua Shen, Songceng Xu. (2020). "Index Networks." TPAMI. 2020.

Towards Light-Weight Deep Portrait Matting via Parameter Sharing

Yutong Dai, Hao Lu, Chunhua Shen. (2021). "Towards Light-Weight Deep Portrait Matting via Parameter Sharing." CGF. 2021.

Learning Affinity-Aware Upsampling for Deep Image Matting

Yutong Dai, Hao Lu, Chunhua Shen. (2021). "Learning Affinity-Aware Upsampling for Deep Image Matting." CVPR. 2021.

Boosing Robustness of Image Matting with Context Assembing and Strong Data Augmentation

Yutong Dai, Brian Price, He Zhang, Chunhua Shen. (2022). "Boosing Robustness of Image Matting with Context Assembing and Strong Data Augmentation." CVPR. 2022.

Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting

Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu. (2023). "Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting." AAAI. 2023.

Services

• Reviewer for CVPR’21,22,23, ICCV’21, ECCV’22, AAAI’22,23, ACMMM’23, ACML’23, TMM, TPAMI, TCSVT, IJCV