ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.05061
  4. Cited By
Understanding Action Sequences based on Video Captioning for
  Learning-from-Observation

Understanding Action Sequences based on Video Captioning for Learning-from-Observation

9 December 2020
Iori Yanokura
Naoki Wake
Kazuhiro Sasabuchi
Katsushi Ikeuchi
Masayuki Inaba
ArXivPDFHTML

Papers citing "Understanding Action Sequences based on Video Captioning for Learning-from-Observation"

2 / 2 papers shown
Title
Semantic constraints to represent common sense required in household
  actions for multi-modal Learning-from-observation robot
Semantic constraints to represent common sense required in household actions for multi-modal Learning-from-observation robot
Katsushi Ikeuchi
Naoki Wake
Riku Arakawa
Kazuhiro Sasabuchi
Jun Takamatsu
LM&Ro
17
16
0
03 Mar 2021
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
Tianwei Lin
Xu Zhao
Haisheng Su
Chongjing Wang
Ming Yang
139
700
0
08 Jun 2018
1