64 citations · 103 across the 13 of their papers we have counts for
21 papers
Recurrent Dynamic Embedding for Video Object Segmentation
Mingxing Li, Li Hu, Zhiwei Xiong +3
Space-time memory (STM) based video object segmentation (VOS) networks usually keep increasing memory bank every several frames, which shows excellent performance. However, 1) the…
Neural Compression-Based Feature Learning for Video Restoration
Cong Huang, Jiahao Li, Bin Li +2
How to efficiently utilize the temporal features is crucial, yet challenging, for video restoration. The temporal features usually contain various noisy and uncorrelated informatio…
Motion-Focused Contrastive Learning of Video Representations
Rui Li, Yiheng Zhang, Zhaofan Qiu +3
Motion, as the most distinct phenomenon in a video to involve the changes over time, has been unique and critical to the development of video representation learning. In this paper…
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
Dongmei Xue, Haichuan Ma, Li Li +2
With the rapid development of whole brain imaging technology, a large number of brain images have been produced, which puts forward a great demand for efficient brain image compres…
End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma, Dong Liu, Cunhui Dong +2
Lossy image compression is a many-to-one process, thus one bitstream corresponds to multiple possible original images, especially at low bit rates. However, this nature was seldom…
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
Jialun Peng, Dong Liu, Songcen Xu +1
Given an incomplete image without additional constraint, image inpainting natively allows for multiple solutions as long as they appear plausible. Recently, multiplesolution inpain…