5 citations · 11 across the 5 of their papers we have counts for
5 papers · 1 filter
The 8th AI City Challenge
Shuo Wang, David C. Anastasiu, Zheng Tang +21
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (I…
Scale-Aware Crowd Count Network with Annotation Error Correction
Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng +2
Traditional crowd counting networks suffer from information loss when feature maps are downsized through pooling layers, leading to inaccuracies in counting crowds at a distance. E…
MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
Yu-Xiang Zeng, Jun-Wei Hsieh, Xin Li +1
Detecting small scene text instances in the wild is particularly challenging, where the influence of irregular positions and nonideal lighting often leads to detection errors. We p…
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection
Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Erkhembayar Ganbold +9
With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras. Fisheye lens provides omnidirectional wide coverage f…
RATs-NAS: Redirection of Adjacent Trails on GCN for Neural Architecture Search
Yu-Ming Zhang, Jun-Wei Hsieh, Chun-Chieh Lee +1
Various hand-designed CNN architectures have been developed, such as VGG, ResNet, DenseNet, etc., and achieve State-of-the-Art (SoTA) levels on different tasks. Neural Architecture…