1 citations · 1 across the 2 of their papers we have counts for
6 papers
Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos
Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal +2
This paper addresses a new problem of weakly-supervised online action segmentation in instructional videos. We present a framework to segment streaming videos online at test time u…
Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast
Srikanth Malla, Chiho Choi, Behzad Dariush
This paper considers the problem of multi-modal future trajectory forecast with ranking. Here, multi-modality and ranking refer to the multiple plausible path predictions and the c…
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization
Nakul Agarwal, Yi-Ting Chen, Behzad Dariush +1
Spatio-temporal action localization is an important problem in computer vision that involves detecting where and when activities occur, and therefore requires modeling of both spat…
Recognition and 3D Localization of Pedestrian Actions from Monocular Video
Jun Hayakawa, Behzad Dariush
Understanding and predicting pedestrian behavior is an important and challenging area of research for realizing safe and effective navigation strategies in automated and advanced d…
Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera
Jun Hayakawa, Behzad Dariush
Understanding ego-motion and surrounding vehicle state is essential to enable automated driving and advanced driving assistance technologies. Typical approaches to solve this probl…
SSP: Single Shot Future Trajectory Prediction
Isht Dwivedi, Srikanth Malla, Behzad Dariush +1
We propose a robust solution to future trajectory forecast, which can be practically applicable to autonomous agents in highly crowded environments. For this, three aspects are par…