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Peng Wu

4 papers hereh-index 487 citations5 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
same name
  • Peng Wu — 19 papers, h 14
  • Peng Wu — 17 papers, h 14
  • Peng Wu — 12 papers, h 9
  • Peng Wu — 11 papers, h 9
  • Peng Wu — 9 papers, h 12
  • Peng Wu — 8 papers, h 18

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 citedDense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations

4 citations · 7 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2022

ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection

Yiyang Shen, Rongwei Yu, Peng Wu +4

LiDAR and camera, as two different sensors, supply geometric (point clouds) and semantic (RGB images) information of 3D scenes. However, it is still challenging for existing method…

cs.CV2022★ 3 cited

PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection

Peng Wu, Lipeng Gu, Xuefeng Yan +4

Large imbalance often exists between the foreground points (i.e., objects) and the background points in outdoor LiDAR point clouds. It hinders cutting-edge detectors from focusing…

cs.CV2021

Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization

Yifu Wang, Jiaqi Yang, Xin Peng +5

We present a new solution to tracking and mapping with an event camera. The motion of the camera contains both rotation and translation, and the displacements happen in an arbitrar…

cs.CV2018★ 4 cited

Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations

Lan Hu, Yuchen Cao, Peng Wu +1

Most problems involving simultaneous localization and mapping can nowadays be solved using one of two fundamentally different approaches. The traditional approach is given by a lea…

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