289 citations · 361 across the 4 of their papers we have counts for
4 papers
PixelNet: Towards a General Pixel-level Architecture
Aayush Bansal, Xinlei Chen, Bryan Russell +2
We explore architectures for general pixel-level prediction problems, from low-level edge detection to mid-level surface normal estimation to high-level semantic segmentation. Conv…
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Senthil Purushwalkam, Abhinav Gupta
Human actions are comprised of a sequence of poses. This makes videos of humans a rich and dense source of human poses. We propose an unsupervised method to learn pose features fro…
Much Ado About Time: Exhaustive Annotation of Temporal Data
Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi +2
Large-scale annotated datasets allow AI systems to learn from and build upon the knowledge of the crowd. Many crowdsourcing techniques have been developed for collecting image anno…
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang, Siyi Li, Abhinav Gupta +1
Convolutional neural network (CNN) models have demonstrated great success in various computer vision tasks including image classification and object detection. However, some equall…