27 citations · 33 across the 5 of their papers we have counts for
5 papers
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking
Pengfei Zhu, Hongtao Yu, Kaihua Zhang +5
Recently, template-based trackers have become the leading tracking algorithms with promising performance in terms of efficiency and accuracy. However, the correlation operation bet…
Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
Yehui Yang, Fangxin Shang, Binghong Wu +5
Diabetic retinopathy (DR) grading from fundus images has attracted increasing interest in both academic and industrial communities. Most convolutional neural network (CNN) based al…
Exploring Feature Representation and Training strategies in Temporal Action Localization
Tingting Xie, Xiaoshan Yang, Tianzhu Zhang +2
Temporal action localization has recently attracted significant interest in the Computer Vision community. However, despite the great progress, it is hard to identify which aspects…
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
Xiao Wang, Chenglong Li, Rui Yang +3
The tracking-by-detection framework requires a set of positive and negative training samples to learn robust tracking models for precise localization of target objects. However, ex…
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images
Kui Jia, Tsung-Han Chan, Zinan Zeng +4
Feature-based object matching is a fundamental problem for many applications in computer vision, such as object recognition, 3D reconstruction, tracking, and motion segmentation. I…