Content-based Domain Adaptation

Speak:     Prof.Liang zhen

Time:       15:00-17:00, Dec. 16

Location:  SIST 1A 200

Host:       Prof. Yu Jingyi

Abstract:

Domain adaptation (DA) has been an important research problem, aiming to reduce the impact of domain gaps. Given images in the source and target domains, existing DA methods typically perform domain alignment on the feature- or pixel-level. In this talk, I will introduce a new scheme named content-level domain adaptation, where the source domain consists of images simulated by 3D renderers like Unity, and the target domain contains real-world images. Different from existing DA methods, content-level DA is featured by an editable source domain, where the source images can be freely edited in Unity in terms of illumination, viewpoint, background, etc. Using a supervision signal from the target domain, we design an attribute descent method to automatically generate a source domain that aligns well with the distributions in the target domain. On several vehicle re-identification datasets, we show that our method effectively edits the content of the source domain, generates consistent source images with the target domain, and brings about consistent improvement on top of traditional DA methods.

Bio:

Dr Liang Zheng is a Lecturer, CS Futures Fellow and ARC DECRA Fellow in the Research School of Computer Science in the Australian National University. He obtained both his B.S degree (2010) and Ph.D degree (2015) from Tsinghua University. He has published over 40 papers in highly selected venues such as TPAMI, IJCV, CVPR, ECCV, and ICCV. He makes early attempts in large-scale person re-identification, and his works are positively received by the community. Dr Zheng received the Outstanding PhD Thesis and the Wen-Tsun Wu Award from Chinese Association of Artificial Intelligence and DECRA award from the Australian Research Council. His research has been featured by the MIT Technical Review, and four papers are selected into the computer science courses in Stanford University and the University of Texas at Austin. He serves as an Area Chair/Senior PC/Session Chair in AAAI 2020, IJCAI 2019, 2020 ICPR 2018, ICME 2019, and ICMR 2019, and organized tutorials and workshops at ICPR 2018, ECCV 2018, CVPR 2019 and CVPR 2020.

Sist seminar 18224