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Lanqing Hong

3 papers hereh-index 238 citations4 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Lanqing Hong — 40 papers, h 30
  • Lanqing Hong — 20 papers, h 14
  • Lanqing Hong — 4 papers, h 1
  • Lanqing Hong — 4 papers, h 3
  • Lanqing Hong — 3 papers, h 2
  • Lanqing Hong — 1 paper

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 citedG-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

AsySplat: Efficient Asymmetric 3D Gaussian Splatting for Long-Sequence Scene Modeling

Yingji Zhong, Dave Zhenyu Chen, Fuzhao Ou +4

Recent generalizable 3D Gaussian Splatting models have advanced long-sequence novel view synthesis (NVS), but at the cost of substantial redundant computation. We identify that the…

cs.CV2026

VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection

Yang Cao, Feize Wu, Dave Zhenyu Chen +3

Current multi-view indoor 3D object detectors rely on sensor geometry that is costly to obtain (i.e., precisely calibrated multi-view camera poses) to fuse multi-view information i…

cs.CV2024★ 1 cited

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection

Fan Wu, Jinling Gao, Lanqing Hong +3

In this paper, we focus on a realistic yet challenging task, Single Domain Generalization Object Detection (S-DGOD), where only one source domain's data can be used for training ob…

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