Search Results for author: ZHIYANG YU

Found 5 papers, 2 papers with code

Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation

no code implementations CVPR 2023 ZHIYANG YU, Yu Zhang, Dongqing Zou, Xijun Chen, Jimmy S. Ren, Shunqing Ren

Continuous-time video frame interpolation is a fundamental technique in computer vision for its flexibility in synthesizing motion trajectories and novel video frames at arbitrary intermediate time steps.

Video Frame Interpolation

Training Weakly Supervised Video Frame Interpolation With Events

1 code implementation ICCV 2021 ZHIYANG YU, Yu Zhang, Deyuan Liu, Dongqing Zou, Xijun Chen, Yebin Liu, Jimmy S. Ren

Though trained on low frame-rate videos, our framework outperforms existing models trained with full high frame-rate videos (and events) on both GoPro dataset and a new real event-based dataset.

Video Frame Interpolation

a high efficiency fully convolutional networks for pixel wise surface defect detection

no code implementations journal 2019 Lingteng Qiu, XiaoJun Wu, ZHIYANG YU

Our method is composed of a segmentation stage (stage 1), a detection stage (stage 2), and a matting stage (stage 3).

Defect Detection Image Matting +1

Robust Tracking Using Region Proposal Networks

no code implementations30 May 2017 Jimmy Ren, ZHIYANG YU, Jianbo Liu, Rui Zhang, Wenxiu Sun, Jiahao Pang, Xiaohao Chen, Qiong Yan

Recent advances in visual tracking showed that deep Convolutional Neural Networks (CNN) trained for image classification can be strong feature extractors for discriminative trackers.

Classification Feature Engineering +4

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