4 citations · 6 across the 2 of their papers we have counts for
3 papers
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang +1
Grounding free-form textual queries necessitates an understanding of these textual phrases and its relation to the visual cues to reliably reason about the described locations. Spa…
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang +1
When the navigational environment is known, it can be represented as a graph where landmarks are nodes, the robot behaviors that move from node to node are edges, and the route is…
Learning Topics using Semantic Locality
Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin +4
The topic modeling discovers the latent topic probability of the given text documents. To generate the more meaningful topic that better represents the given document, we proposed…