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Nanning Zheng

4 papers hereh-index 9212 citations36 works total

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

author position
  • last author4

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

fields
  • cs.CV4
same name
  • Nanning Zheng — 31 papers, h 61
  • Nanning Zheng — 14 papers
  • Nanning Zheng — 10 papers, h 18
  • Nanning Zheng — 10 papers, h 7
  • Nanning Zheng — 8 papers, h 6
  • Nanning Zheng — 6 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
20232026
most citedLeveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Selective Transfer Learning of Cross-Modality Distillation for Monocular 3D Object Detection

Rui Ding, Meng Yang, Nanning Zheng

Monocular 3D object detection is a promising yet ill-posed task for autonomous vehicles due to the lack of accurate depth information. Cross-modality knowledge distillation could e…

cs.CV2025

CylinderPlane: Nested Cylinder Representation for 3D-aware Image Generation

Ru Jia, Xiaozhuang Ma, Jianji Wang +1

While the proposal of the Tri-plane representation has advanced the development of the 3D-aware image generative models, problems rooted in its inherent structure, such as multi-fa…

cs.CV2024★ 2 cited

Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection

Shitao Chen, Haolin Zhang, Nanning Zheng

3D object detection based on LiDAR point cloud and prior anchor boxes is a critical technology for autonomous driving environment perception and understanding. Nevertheless, an ove…

cs.CV2023

G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data

Haotian Wang, Meng Yang, Nanning Zheng

Monocular depth inference is a fundamental problem for scene perception of robots. Specific robots may be equipped with a camera plus an optional depth sensor of any type and locat…

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