activity
20202022
most citedSpatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

35 citations · 48 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20228 cited

Balanced MSE for Imbalanced Visual Regression

Jiawei Ren, Mingyuan Zhang, Cunjun Yu +1

Data imbalance exists ubiquitously in real-world visual regressions, e.g., age estimation and pose estimation, hurting the model's generalizability and fairness. Thus, imbalanced r…

cs.CV20213 cited

HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification

Jiawei Ren, Xiao Ma, Chen Xu +2

Person Re-Identification (Re-ID) is of great importance to the many video surveillance systems. Learning discriminative features for Re-ID remains a challenge due to the large vari…

cs.LG20202 cited

Balanced Activation for Long-tailed Visual Recognition

Jiawei Ren, Cunjun Yu, Zhongang Cai +1

Deep classifiers have achieved great success in visual recognition. However, real-world data is long-tailed by nature, leading to the mismatch between training and testing distribu…

cs.CV2020

Leveraging Localization for Multi-camera Association

Zhongang Cai, Cunjun Yu, Junzhe Zhang +2

We present McAssoc, a deep learning approach to the as-sociation of detection bounding boxes in different views ofa multi-camera system. The vast majority of the academiahas been d…

cs.LG2020

Balanced Meta-Softmax for Long-Tailed Visual Recognition

Jiawei Ren, Cunjun Yu, Shunan Sheng +4

Deep classifiers have achieved great success in visual recognition. However, real-world data is long-tailed by nature, leading to the mismatch between training and testing distribu…

cs.CV202035 cited

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

Cunjun Yu, Xiao Ma, Jiawei Ren +2

Understanding crowd motion dynamics is critical to real-world applications, e.g., surveillance systems and autonomous driving. This is challenging because it requires effectively m…