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researcher

Min Sun

39 papers hereh-index 406.5k citations93 works total

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

author position
  • middle author15
  • last author23

Across the 38 of 39 papers where every author was matched, so the position is known.

fields
  • cs.CV32
  • cs.LG4
  • eess.IV2
  • cs.CL1
same name
  • Min Sun — 9 papers, h 4
  • Min Sun — 8 papers
  • Min Sun — 8 papers, h 3
  • Min Sun — 7 papers, h 4
  • Min Sun — 6 papers, h 5
  • Min Sun — 4 papers, h 10

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
20172022
most citedBiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation

33 citations · 140 across the 19 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2019★ 7 cited

Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors

Fang-I Hsiao, Jui-Hsuan Kuo, Min Sun

We propose a novel approach to train a multi-modal policy from mixed demonstrations without their behavior labels. We develop a method to discover the latent factors of variation i…

cs.LG2018

InstaNAS: Instance-aware Neural Architecture Search

An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan +2

Conventional Neural Architecture Search (NAS) aims at finding a single architecture that achieves the best performance, which usually optimizes task related learning objectives suc…

cs.LG2018

Searching Toward Pareto-Optimal Device-Aware Neural Architectures

An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu +7

Recent breakthroughs in Neural Architectural Search (NAS) have achieved state-of-the-art performance in many tasks such as image classification and language understanding. However,…

cs.LG2017★ 26 cited

Compatibility Family Learning for Item Recommendation and Generation

Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin +1

Compatibility between items, such as clothes and shoes, is a major factor among customer's purchasing decisions. However, learning "compatibility" is challenging due to (1) broader…

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