24 citations · 24 across the 1 of their papers we have counts for
3 papers
cs.CV2019
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
Sara Beery, Guanhang Wu, Vivek Rathod +2
In static monitoring cameras, useful contextual information can stretch far beyond the few seconds typical video understanding models might see: subjects may exhibit similar behavi…
cs.CV2017★ 24 cited
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
Shanghang Zhang, Guanhang Wu, João P. Costeira +1
In this paper, we develop deep spatio-temporal neural networks to sequentially count vehicles from low quality videos captured by city cameras (citycams). Citycam videos have low r…
cs.LG2017
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
Han Zhao, Shanghang Zhang, Guanhang Wu +3
While domain adaptation has been actively researched in recent years, most theoretical results and algorithms focus on the single-source-single-target adaptation setting. Naive app…