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Shengyu Huang

4 papers hereh-index 9893 citations17 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV3
  • cs.IR1
same name
  • Shengyu Huang — 16 papers, h 9
  • Shengyu Huang — 3 papers, h 3
  • Shengyu Huang — 2 papers, h 2
  • Shengyu Huang — 1 paper, h 1
  • Shengyu Huang — 1 paper, h 1

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
20202023
most citedPREDATOR: Registration of 3D Point Clouds with Low Overlap

8 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2023

Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking

Xuewei Wang, Qiang Jin, Shengyu Huang +10

Dividing ads ranking system into retrieval, early, and final stages is a common practice in large scale ads recommendation to balance the efficiency and accuracy. The early stage r…

cs.CV2022★ 1 cited

ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields

Corinne Stucker, Bingxin Ke, Yuanwen Yue +3

High-resolution optical satellite sensors, combined with dense stereo algorithms, have made it possible to reconstruct 3D city models from space. However, these models are, in prac…

cs.CV2020★ 8 cited

PREDATOR: Registration of 3D Point Clouds with Low Overlap

Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov +2

We introduce PREDATOR, a model for pairwise point-cloud registration with deep attention to the overlap region. Different from previous work, our model is specifically designed to…

cs.CV2020

Indoor Scene Recognition in 3D

Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler

Recognising in what type of environment one is located is an important perception task. For instance, for a robot operating in indoors it is helpful to be aware whether it is in a…

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