31 citations · 194 across the 38 of their papers we have counts for
8 papers · 1 filter
Self-Attention Network for Skeleton-based Human Action Recognition
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu +1
Skeleton-based action recognition has recently attracted a lot of attention. Researchers are coming up with new approaches for extracting spatio-temporal relations and making consi…
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations
Sangwoo Cho, Chen Li, Dong Yu +2
Emerged as one of the best performing techniques for extractive summarization, determinantal point processes select the most probable set of sentences to form a summary according t…
Maximum Probability Theorem: A Framework for Probabilistic Learning
Amir Emad Marvasti, Ehsan Emad Marvasti, Ulas Bagci +1
We present a theoretical framework of probabilistic learning derived by Maximum Probability (MP) Theorem shown in the current paper. In this probabilistic framework, a model is def…
Slim-CNN: A Light-Weight CNN for Face Attribute Prediction
Ankit Sharma, Hassan Foroosh
We introduce a computationally-efficient CNN micro-architecture Slim Module to design a lightweight deep neural network Slim-Net for face attribute prediction. Slim Modules are con…
Spatio-Temporal Fusion Networks for Action Recognition
Sangwoo Cho, Hassan Foroosh
The video based CNN works have focused on effective ways to fuse appearance and motion networks, but they typically lack utilizing temporal information over video frames. In this w…
A Temporal Sequence Learning for Action Recognition and Prediction
Sangwoo Cho, Hassan Foroosh
In this work\footnote {This work was supported in part by the National Science Foundation under grant IIS-1212948.}, we present a method to represent a video with a sequence of wor…