46 citations · 168 across the 22 of their papers we have counts for
4 papers · 1 filter
Human Action Forecasting by Learning Task Grammars
Tengda Han, Jue Wang, Anoop Cherian +1
For effective human-robot interaction, it is important that a robotic assistant can forecast the next action a human will consider in a given task. Unfortunately, real-world tasks…
Human Pose Forecasting via Deep Markov Models
Sam Toyer, Anoop Cherian, Tengda Han +1
Human pose forecasting is an important problem in computer vision with applications to human-robot interaction, visual surveillance, and autonomous driving. Usually, forecasting al…
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann +3
Pixel-level annotations are expensive and time consuming to obtain. Hence, weak supervision using only image tags could have a significant impact in semantic segmentation. Recently…
Discriminatively Learned Hierarchical Rank Pooling Networks
Basura Fernando, Stephen Gould
In this work, we present novel temporal encoding methods for action and activity classification by extending the unsupervised rank pooling temporal encoding method in two ways. Fir…