256 citations · 299 across the 3 of their papers we have counts for
3 papers
Pose Embeddings: A Deep Architecture for Learning to Match Human Poses
Greg Mori, Caroline Pantofaru, Nisarg Kothari +4
We present a method for learning an embedding that places images of humans in similar poses nearby. This embedding can be used as a direct method of comparing images based on human…
Efficient Large Scale Video Classification
Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan +1
Video classification has advanced tremendously over the recent years. A large part of the improvements in video classification had to do with the work done by the image classificat…
Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan +3
Convolutional neural networks (CNNs) have been extensively applied for image recognition problems giving state-of-the-art results on recognition, detection, segmentation and retrie…