13 citations · 26 across the 6 of their papers we have counts for
7 papers · 1 filter
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection
Yiming Cui
Video object detection is a fundamental yet challenging task in computer vision. One practical solution is to take advantage of temporal information from the video and apply featur…
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…
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
Dongfang Liu, Yiming Cui, Liqi Yan +3
In this work, we introduce a Denser Feature Network (DenserNet) for visual localization. Our work provides three principal contributions. First, we develop a convolutional neural n…