65 citations · 65 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 65 cited
CCTrans: Simplifying and Improving Crowd Counting with Transformer
Ye Tian, Xiangxiang Chu, Hongpeng Wang
Most recent methods used for crowd counting are based on the convolutional neural network (CNN), which has a strong ability to extract local features. But CNN inherently fails in m…
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.CV2018
Resisting Large Data Variations via Introspective Transformation Network
Yunhan Zhao, Ye Tian, Charless Fowlkes +2
Training deep networks that generalize to a wide range of variations in test data is essential to building accurate and robust image classifiers. One standard strategy is to apply…