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researcher

H. Zha

25 papers hereh-index 509.6k citations452 works total

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

author position
  • middle author1
  • last author24

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV18
  • cs.RO3
  • cs.LG2
  • math.OC1
  • stat.ML1
same name
  • H. Zha — 121 papers, h 83
  • H. Zha — 8 papers, h 15
  • H. Zha — 1 paper, h 1
  • H. Zha — 1 paper, h 4

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
20122023
most citedEssential Tensor Learning for Multi-view Spectral Clustering

360 citations · 567 across the 25 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 2 cited

Transferable End-to-end Room Layout Estimation via Implicit Encoding

Hao Zhao, Rene Ranftl, Yurong Chen +1

We study the problem of estimating room layouts from a single panorama image. Most former works have two stages: feature extraction and parametric model fitting. Here we propose an…

cs.CV2021

Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations

Zike Yan, Yuxin Tian, Xuesong Shi +3

Recent advances have enabled a single neural network to serve as an implicit scene representation, establishing the mapping function between spatial coordinates and scene propertie…

cs.CV2021★ 2 cited

Online Learning of a Probabilistic and Adaptive Scene Representation

Zike Yan, Xin Wang, Hongbin Zha

Constructing and maintaining a consistent scene model on-the-fly is the core task for online spatial perception, interpretation, and action. In this paper, we represent the scene w…

cs.CV2021★ 2 cited

Generalizing to the Open World: Deep Visual Odometry with Online Adaptation

Shunkai Li, Xin Wu, Yingdian Cao +1

Despite learning-based visual odometry (VO) has shown impressive results in recent years, the pretrained networks may easily collapse in unseen environments. The large domain gap b…

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