273 citations · 596 across the 37 of their papers we have counts for
8 papers · 2 filters
Evolving Space-Time Neural Architectures for Videos
AJ Piergiovanni, Anelia Angelova, Alexander Toshev +1
We present a new method for finding video CNN architectures that capture rich spatio-temporal information in videos. Previous work, taking advantage of 3D convolutions, obtained pr…
Representation Flow for Action Recognition
AJ Piergiovanni, Michael S. Ryoo
In this paper, we propose a convolutional layer inspired by optical flow algorithms to learn motion representations. Our representation flow layer is a fully-differentiable layer d…
Learning Multimodal Representations for Unseen Activities
AJ Piergiovanni, Michael S. Ryoo
We present a method to learn a joint multimodal representation space that enables recognition of unseen activities in videos. We first compare the effect of placing various constra…
Fine-grained Activity Recognition in Baseball Videos
AJ Piergiovanni, Michael S. Ryoo
In this paper, we introduce a challenging new dataset, MLB-YouTube, designed for fine-grained activity detection. The dataset contains two settings: segmented video classification…
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
Ramyad Hadidi, Jiashen Cao, Matthew Woodward +2
The prevalence of Internet of things (IoT) devices and abundance of sensor data has created an increase in real-time data processing such as recognition of speech, image, and video…
Learning to Anonymize Faces for Privacy Preserving Action Detection
Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo
There is an increasing concern in computer vision devices invading users' privacy by recording unwanted videos. On the one hand, we want the camera systems to recognize important e…