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researcher

Yan Huang

4 papers here

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.CV2
  • astro-ph.IM1
  • cs.LG1
same name
  • Yan Huang — 17 papers, h 44
  • Yan Huang — 5 papers
  • Yan Huang — 5 papers, h 18
  • Yan Huang — 5 papers
  • Yan Huang — 4 papers
  • Yan Huang — 4 papers, h 5

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
20182022
most citedBox-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation

15 citations · 15 across the 2 of their papers we have counts for

collaborators

4 papers

astro-ph.IM2022

Global CD/EoR Signal Detection with a Dense Digital Beamforming Array and Beyond

Junhua Gu, Jingying Wang, Huanyuan Shan +5

The global neutral hydrogen 21 cm signal extracted from the all-sky averaged radio spectra is one of the signatures of the Cosmic Dawn and Epoch of Reionization (CD/EoR). The frequ…

cs.CV2019★ 15 cited

Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation

Chunfeng Song, Yan Huang, Wanli Ouyang +1

Semantic segmentation has achieved huge progress via adopting deep Fully Convolutional Networks (FCN). However, the performance of FCN based models severely rely on the amounts of…

cs.LG2018

DeepMove: Learning Place Representations through Large Scale Movement Data

Yang Zhou, Yan Huang

Understanding and reasoning about places and their relationships are critical for many applications. Places are traditionally curated by a small group of people as place gazetteers…

cs.CV2018

Relational Network for Skeleton-Based Action Recognition

Wu Zheng, Lin Li, Zhaoxiang Zhang +2

With the fast development of effective and low-cost human skeleton capture systems, skeleton-based action recognition has attracted much attention recently. Most existing methods u…

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