activity
20172022
most citedSingle-Shot Refinement Neural Network for Object Detection

112 citations · 179 across the 12 of their papers we have counts for

collaborators

24 papers

cs.CV2022

End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection

Congcong Li, Xinyao Wang, Longyin Wen +3

Generic event boundary detection aims to localize the generic, taxonomy-free event boundaries that segment videos into chunks. Existing methods typically require video frames to be…

cs.CV20213 cited

Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark

Boying Wang, Libo Zhang, Longyin Wen +2

Automatic security inspection using computer vision technology is a challenging task in real-world scenarios due to various factors, including intra-class variance, class imbalance…

cs.CV2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Dawei Du, Longyin Wen, Pengfei Zhu +52

Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…

cs.CV20215 cited

Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)

Dexiang Hong, Congcong Li, Longyin Wen +2

This report presents the approach used in the submission of Generic Event Boundary Detection (GEBD) Challenge at CVPR21. In this work, we design a Cascaded Temporal Attention Netwo…

cs.CV2021

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

Longyin Wen, Dawei Du, Pengfei Zhu +4

To promote the developments of object detection, tracking and counting algorithms in drone-captured videos, we construct a benchmark with a new drone-captured largescale dataset, n…

cs.CV20203 cited

Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering

Guang Chen, Shiwen Shen, Longyin Wen +2

Pig counting is a crucial task for large-scale pig farming, which is usually completed by human visually. But this process is very time-consuming and error-prone. Few studies in li…