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Hongye Chen

2 accepted papers

2026

FlowAnyTime: Efficient Fine-tuning with Intra-Inter Frame Distillation for All-Weather Optical Flow Estimation

AAAI 2026technical

Motion estimation in degraded scenes has long been a significant challenge, primarily attributed to substantial scene variations and insufficient training data. Existing approaches typically address this limitation by incorporating additional training strategies or modifying network architectures wi

Cited by 0SourcePDFScholar
2025

MotionFlow: Joint Motion Priors and Appearance Enhancement for High-Accuracy Optical Flow Estimation

ICASSP 2025accepted

Although optical flow estimation has improved significantly in recent years, large displacements and occlusions remain challenging for current methods due to motion discontinuities that may hinder accurate feature correspondences in these regions, leading to degraded performance. To address this cha…

Cited by 0SourceScholar