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20182024
most citedEnhancing HEVC Compressed Videos with a Partition-masked Convolutional Neural Network

78 citations · 153 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation

Shiqi Peng, Bolin Lai, Guangyu Yao +4

Vertebral body (VB) segmentation is an important preliminary step towards medical visual diagnosis for spinal diseases. However, most previous works require pixel/voxel-wise strong…

cs.CV2023★ 29 cited

Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning

Chaofan Ma, Qisen Xu, Xiangfeng Wang +4

Interactive segmentation has recently been explored to effectively and efficiently harvest high-quality segmentation masks by iteratively incorporating user hints. While iterative…

cs.CV2021

CaT: Weakly Supervised Object Detection with Category Transfer

Tianyue Cao, Lianyu Du, Xiaoyun Zhang +3

A large gap exists between fully-supervised object detection and weakly-supervised object detection. To narrow this gap, some methods consider knowledge transfer from additional fu…

cs.CV2021

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization

Chen Ju, Peisen Zhao, Siheng Chen +3

Weakly-supervised temporal action localization aims to localize actions in untrimmed videos with only video-level action category labels. Most of previous methods ignore the incomp…

cs.CV2019

Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning

Xuan Liao, Wenhao Li, Qisen Xu +5

Existing automatic 3D image segmentation methods usually fail to meet the clinic use. Many studies have explored an interactive strategy to improve the image segmentation performan…

cs.CV2019

Depth-Aware Video Frame Interpolation

Wenbo Bao, Wei-Sheng Lai, Chao Ma +3

Video frame interpolation aims to synthesize nonexistent frames in-between the original frames. While significant advances have been made from the recent deep convolutional neural…

cs.CV2018★ 31 cited

MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang +2

Motion estimation (ME) and motion compensation (MC) have been widely used for classical video frame interpolation systems over the past decades. Recently, a number of data-driven f…