18 citations · 20 across the 5 of their papers we have counts for
5 papers
ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection
Daria Reshetova, Guanhang Wu, Marcel Puyat +2
Object detection is the key technique to a number of Computer Vision applications, but it often requires large amounts of annotated data to achieve decent results. Moreover, for pe…
TDT: Teaching Detectors to Track without Fully Annotated Videos
Shuzhi Yu, Guanhang Wu, Chunhui Gu +1
Recently, one-stage trackers that use a joint model to predict both detections and appearance embeddings in one forward pass received much attention and achieved state-of-the-art r…
Towards a Semantic Perceptual Image Metric
Troy Chinen, Johannes Ballé, Chunhui Gu +8
We present a full reference, perceptual image metric based on VGG-16, an artificial neural network trained on object classification. We fit the metric to a new database based on 14…
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu, Chen Sun, David A. Ross +9
This paper introduces a video dataset of spatio-temporally localized Atomic Visual Actions (AVA). The AVA dataset densely annotates 80 atomic visual actions in 430 15-minute video…
End-to-End Interpretation of the French Street Name Signs Dataset
Raymond Smith, Chunhui Gu, Dar-Shyang Lee +5
We introduce the French Street Name Signs (FSNS) Dataset consisting of more than a million images of street name signs cropped from Google Street View images of France. Each image…