78 citations · 153 across the 10 of their papers we have counts for
11 papers
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…
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…
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…
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…
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis
Shixiang Feng, Beibei Liu, Ya Zhang +2
Differentiating Vertebral Compression Fractures (VCFs) associated with trauma and osteoporosis (benign VCFs) or those caused by metastatic cancer (malignant VCFs) are critically im…
Content Adaptive and Error Propagation Aware Deep Video Compression
Guo Lu, Chunlei Cai, Xiaoyun Zhang +4
Recently, learning based video compression methods attract increasing attention. However, the previous works suffer from error propagation due to the accumulation of reconstructed…
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…
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…
DVC: An End-to-end Deep Video Compression Framework
Guo Lu, Wanli Ouyang, Dong Xu +3
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information. In this paper, taking adv…
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…
Enhancing HEVC Compressed Videos with a Partition-masked Convolutional Neural Network
Xiaoyi He, Qiang Hu, Xintong Han +3
In this paper, we propose a partition-masked Convolution Neural Network (CNN) to achieve compressed-video enhancement for the state-of-the-art coding standard, High Efficiency Vide…