71 citations · 130 across the 13 of their papers we have counts for
5 papers · 1 filter
SVIP: Sequence VerIfication for Procedures in Videos
Yicheng Qian, Weixin Luo, Dongze Lian +3
In this paper, we propose a novel sequence verification task that aims to distinguish positive video pairs performing the same action sequence from negative ones with step-level tr…
Two-stage Visual Cues Enhancement Network for Referring Image Segmentation
Yang Jiao, Zequn Jie, Weixin Luo +4
Referring Image Segmentation (RIS) aims at segmenting the target object from an image referred by one given natural language expression. The diverse and flexible expressions as wel…
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
Kang Zhou, Jing Li, Weixin Luo +6
Anomaly detection in medical images refers to the identification of abnormal images with only normal images in the training set. Most existing methods solve this problem with a sel…
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding
Binbin Huang, Dongze Lian, Weixin Luo +1
An LBYL (`Look Before You Leap') Network is proposed for end-to-end trainable one-stage visual grounding. The idea behind LBYL-Net is intuitive and straightforward: we follow a lan…
Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
Zhaoyuan Yin, Jia Zheng, Weixin Luo +3
This paper proposes a framework for the interactive video object segmentation (VOS) in the wild where users can choose some frames for annotations iteratively. Then, based on the u…