2.1k citations · 5.6k across the 30 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 3 cited
Spatial Memory for Context Reasoning in Object Detection
Xinlei Chen, Abhinav Gupta
Modeling instance-level context and object-object relationships is extremely challenging. It requires reasoning about bounding boxes of different classes, locations \etc. Above all…
cs.CV2017★ 93 cited
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal, Xinlei Chen, Bryan Russell +2
We explore design principles for general pixel-level prediction problems, from low-level edge detection to mid-level surface normal estimation to high-level semantic segmentation.…
cs.CV2017★ 125 cited
An Implementation of Faster RCNN with Study for Region Sampling
Xinlei Chen, Abhinav Gupta
We adapted the join-training scheme of Faster RCNN framework from Caffe to TensorFlow as a baseline implementation for object detection. Our code is made publicly available. This r…