64 citations · 66 across the 2 of their papers we have counts for
6 papers
Motion-Augmented Self-Training for Video Recognition at Smaller Scale
Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov +1
The goal of this paper is to self-train a 3D convolutional neural network on an unlabeled video collection for deployment on small-scale video collections. As smaller video dataset…
Actor-Transformers for Group Activity Recognition
Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan +1
This paper strives to recognize individual actions and group activities from videos. While existing solutions for this challenging problem explicitly model spatial and temporal rel…
Cloth in the Wind: A Case Study of Physical Measurement through Simulation
Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek +1
For many of the physical phenomena around us, we have developed sophisticated models explaining their behavior. Nevertheless, measuring physical properties from visual observations…
Go with the Flow: Perception-refined Physics Simulation
Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek +1
For many of the physical phenomena around us, we have developed sophisticated models explaining their behavior. Nevertheless, inferring specifics from visual observations is challe…
Actor and Action Video Segmentation from a Sentence
Kirill Gavrilyuk, Amir Ghodrati, Zhenyang Li +1
This paper strives for pixel-level segmentation of actors and their actions in video content. Different from existing works, which all learn to segment from a fixed vocabulary of a…
VideoLSTM Convolves, Attends and Flows for Action Recognition
Zhenyang Li, Efstratios Gavves, Mihir Jain +1
We present a new architecture for end-to-end sequence learning of actions in video, we call VideoLSTM. Rather than adapting the video to the peculiarities of established recurrent…