173 citations · 234 across the 13 of their papers we have counts for
9 papers · 1 filter
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…
Learning Real-World Robot Policies by Dreaming
AJ Piergiovanni, Alan Wu, Michael S. Ryoo
Learning to control robots directly based on images is a primary challenge in robotics. However, many existing reinforcement learning approaches require iteratively obtaining milli…
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…