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Cheng Feng

2 accepted papers

2025

ICIMG-Net: Inject Context Information to Motion Generation for Optical Flow Estimation

ICASSP 2025accepted

Although the overall performance of existing optical flow estimation methods has improved rapidly, motion discontinuities caused by large displacements and occlusions remain significant challenges for accurate optical flow estimation. To address this issue, we propose a novel Inject Context Informat…

Cited by 0SourceScholar
2022

Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation

IJCAI 2022poster

Existing unsupervised domain adaptation (UDA) studies focus on transferring knowledge in an offline manner. However, many tasks involve online requirements, especially in real-time systems. In this paper, we discuss Online UDA (OUDA) which assumes that the target samples are arriving sequentially as…