233 citations · 520 across the 20 of their papers we have counts for
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Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Shenwang Jiang, Jianan Li, Ying Wang +3
Corrupted labels and class imbalance are commonly encountered in practically collected training data, which easily leads to over-fitting of deep neural networks (DNNs). Existing ap…
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds
Jie Wang, Jianan Li, Lihe Ding +2
Fine-grained geometry, captured by aggregation of point features in local regions, is crucial for object recognition and scene understanding in point clouds. Nevertheless, existing…
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking
Ying Wang, Tingfa Xu, Jianan Li +2
Most of the existing Siamese-based trackers treat tracking problem as a parallel task of classification and regression. However, some studies show that the sibling head structure c…
Updatable Siamese Tracker with Two-stage One-shot Learning
Xinglong Sun, Guangliang Han, Lihong Guo +3
Offline Siamese networks have achieved very promising tracking performance, especially in accuracy and efficiency. However, they often fail to track an object in complex scenes due…