◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Peixuan Li

4 papers here

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

author position
  • sole author1
  • first author3

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

fields
  • cs.CV4
same name
  • Peixuan Li — 2 papers, h 4
  • Peixuan Li — 1 paper
  • Peixuan Li — 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 citedRTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving

51 citations · 67 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 2 cited

Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving

Peixuan Li, Jieyu Jin

While separately leveraging monocular 3D object detection and 2D multi-object tracking can be straightforwardly applied to sequence images in a frame-by-frame fashion, stand-alone…

cs.CV2020★ 1 cited

RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving

Peixuan Li, Shun Su, Huaici Zhao

Although the recent image-based 3D object detection methods using Pseudo-LiDAR representation have shown great capabilities, a notable gap in efficiency and accuracy still exist co…

cs.CV2020★ 13 cited

Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training

Peixuan Li

In this work, we propose a novel single-shot and keypoints-based framework for monocular 3D objects detection using only RGB images, called KM3D-Net. We design a fully convolutiona…

cs.CV2020★ 51 cited

RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving

Peixuan Li, Huaici Zhao, Pengfei Liu +1

In this work, we propose an efficient and accurate monocular 3D detection framework in single shot. Most successful 3D detectors take the projection constraint from the 3D bounding…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.