activity
20102023
most citedSemantic Instance Segmentation via Deep Metric Learning

211 citations · 792 across the 32 of their papers we have counts for

collaborators

32 papers

cs.CV2023

AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports

Hongyu Sun, Yongcai Wang, Xudong Cai +5

One fundamental limitation to the research of bird strike prevention is the lack of a large-scale dataset taken directly from real-world airports. Existing relevant datasets are ei…

cs.CV2022★ 54 cited

Adaptive Graph Convolutional Networks for Weakly Supervised Anomaly Detection in Videos

Congqi Cao, Xin Zhang, Shizhou Zhang +2

For weakly supervised anomaly detection, most existing work is limited to the problem of inadequate video representation due to the inability of modeling long-term contextual infor…

cs.CV2022★ 1 cited

Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification

Jingzhou Chen, Peng Wang, Jian Liu +1

Hierarchical multi-granularity classification (HMC) assigns hierarchical multi-granularity labels to each object and focuses on encoding the label hierarchy, e.g., ["Albatross", "L…

cs.CV2022

Multi-Domain Joint Training for Person Re-Identification

Lu Yang, Lingqiao Liu, Yunlong Wang +2

Deep learning-based person Re-IDentification (ReID) often requires a large amount of training data to achieve good performance. Thus it appears that collecting more training data f…

cs.CV2021★ 2 cited

Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition

Peng Wang, Jun Wen, Chenyang Si +2

Skeleton-based action recognition is widely used in varied areas, e.g., surveillance and human-machine interaction. Existing models are mainly learned in a supervised manner, thus…

cs.CV2021

NAS-FCOS: Efficient Search for Object Detection Architectures

Ning Wang, Yang Gao, Hao Chen +4

Neural Architecture Search (NAS) has shown great potential in effectively reducing manual effort in network design by automatically discovering optimal architectures. What is notew…