13 citations · 26 across the 7 of their papers we have counts for
7 papers
Deep Partial Multiplex Network Embedding
Qifan Wang, Yi Fang, Anirudh Ravula +5
Network embedding is an effective technique to learn the low-dimensional representations of nodes in networks. Real-world networks are usually with multiplex or having multi-view r…
WebFormer: The Web-page Transformer for Structure Information Extraction
Qifan Wang, Yi Fang, Anirudh Ravula +3
Structure information extraction refers to the task of extracting structured text fields from web pages, such as extracting a product offer from a shopping page including product t…
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
Yiming Cui, Zhiwen Cao, Yixin Xie +5
Multi-object tracking and segmentation (MOTS) is a critical task for autonomous driving applications. The existing MOTS studies face two critical challenges: 1) the published datas…
TF-Blender: Temporal Feature Blender for Video Object Detection
Yiming Cui, Liqi Yan, Zhiwen Cao +1
Video objection detection is a challenging task because isolated video frames may encounter appearance deterioration, which introduces great confusion for detection. One of the pop…
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
Dongfang Liu, Yiming Cui, Wenbo Tan +1
Video instance segmentation (VIS) is a new and critical task in computer vision. To date, top-performing VIS methods extend the two-stage Mask R-CNN by adding a tracking branch, le…
Hierarchical Attention Fusion for Geo-Localization
Liqi Yan, Yiming Cui, Yingjie Chen +1
Geo-localization is a critical task in computer vision. In this work, we cast the geo-localization as a 2D image retrieval task. Current state-of-the-art methods for 2D geo-localiz…