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K. Kawamoto

12 papers hereh-index 10473 citations117 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author9

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.RO3
  • cs.LG1
same name
  • K. Kawamoto — 1 paper, h 31
  • K. Kawamoto — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedSpatiotemporal forecasting of vertical track alignment with exogenous factors

7 citations · 28 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.RO2021★ 6 cited

Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control

Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto

This study is aimed at addressing the problem of fault tolerance of quadruped robots to actuator failure, which is critical for robots operating in remote or extreme environments.…

cs.CV2021

Conditional MoCoGAN for Zero-Shot Video Generation

Shun Kimura, Kazuhiko Kawamoto

We propose a conditional generative adversarial network (GAN) model for zero-shot video generation. In this study, we have explored zero-shot conditional generation setting. In oth…

cs.CV2021★ 3 cited

Adversarial Bone Length Attack on Action Recognition

Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto

Skeleton-based action recognition models have recently been shown to be vulnerable to adversarial attacks. Compared to adversarial attacks on images, perturbations to skeletons are…

cs.CV2021★ 5 cited

Adversarially Trained Object Detector for Unsupervised Domain Adaptation

Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto

Unsupervised domain adaptation, which involves transferring knowledge from a label-rich source domain to an unlabeled target domain, can be used to substantially reduce annotation…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.