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Minh-Triet Tran

4 papers hereh-index 697 citations12 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Minh-Triet Tran — 31 papers, h 3
  • Minh-Triet Tran — 14 papers, h 3
  • Minh-Triet Tran — 9 papers, h 6
  • Minh-Triet Tran — 8 papers, h 6
  • Minh-Triet Tran — 7 papers, h 1
  • Minh-Triet Tran — 6 papers, h 11

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

most citedAEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation

12 citations · 13 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

DM-VTON: Distilled Mobile Real-time Virtual Try-On

Khoi-Nguyen Nguyen-Ngoc, Thanh-Tung Phan-Nguyen, Khanh-Duy Le +3

The fashion e-commerce industry has witnessed significant growth in recent years, prompting exploring image-based virtual try-on techniques to incorporate Augmented Reality (AR) ex…

cs.CV2023

VIDES: Virtual Interior Design via Natural Language and Visual Guidance

Minh-Hien Le, Chi-Bien Chu, Khanh-Duy Le +3

Interior design is crucial in creating aesthetically pleasing and functional indoor spaces. However, developing and editing interior design concepts requires significant time and e…

cs.CV2021★ 12 cited

AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation

Khoa Vo, Hyekang Joo, Kashu Yamazaki +4

Humans typically perceive the establishment of an action in a video through the interaction between an actor and the surrounding environment. An action only starts when the main ac…

cs.CV2021

Agent-Environment Network for Temporal Action Proposal Generation

Viet-Khoa Vo-Ho, Ngan Le, Kashu Yamazaki +2

Temporal action proposal generation is an essential and challenging task that aims at localizing temporal intervals containing human actions in untrimmed videos. Most of existing a…

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