Blog(1)

• FlowFormer: A Transformer Architecture for Optical Flow

  Optical flow targets at estimating per-pixel correspondences between a source image and a target image, in the form of a 2D displacement field.

Research Areas(0)

Publications(7)

• UPR-Net: A Unified Pyramid Recurrent Network for Video Frame

  AuthorXin Jin, Longhai Wu, Jie Chen, Youxin Chen, Jayoon Koo, Cheul-Hee Hahm

  PublishedInternational Journal of Computer Vision (IJCV)

  Date2024-07-17

• What's in the Flow? Exploiting Temporal Motion Cues for Unsupervised Generic Event Boundary Detection

  AuthorSourabh Vasant Gothe, Vibhav Agarwal, Sourav Ghosh, Jayesh Rajkumar Vachhani, Pranay Kashyap, Barath Raj Kandur Raja

  PublishedIEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

  Date2024-01-03

• FlowFormer: A Transformer Architecture for Optical Flow

  AuthorChao Zhang, Qiang Wang

  PublishedEuropean Conference on Computer Vision (ECCV)

  Date2022-12-01

View More

News(2)

• [Blog] FlowFormer: A Transformer Architecture for Optical Flow

  Optical flow targets at estimating per-pixel correspondences between a source image and a target image, in the form of a 2D displacement field.

• [Blog] Enhanced Bi-directional Motion Estimation for Video Frame Interpolation

  Video frame interpolation aims to increase the frame rate of videos, by synthesizing non-existent intermediate frames between original successive frames. With recent advances in optical flow, motion-based interpolation has developed into a promising framework.

Others(0)