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Peng Chen

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CV4
same name
  • Peng Chen — 17 papers, h 9
  • Peng Chen — 17 papers, h 3
  • Peng Chen — 14 papers, h 14
  • Peng Chen — 14 papers, h 25
  • Peng Chen — 13 papers, h 26
  • Peng Chen — 9 papers, h 9

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
20232025
most citedBEVHeight++: Toward Robust Visual Centric 3D Object Detection

8 citations · 8 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation

Xianming Zeng, Sicong Du, Qifeng Chen +13

Sensor simulation is pivotal for scalable validation of autonomous driving systems, yet existing Neural Radiance Fields (NeRF) based methods face applicability and efficiency chall…

cs.CV2024

LiDAR-GS:Real-time LiDAR Re-Simulation using Gaussian Splatting

Qifeng Chen, Sheng Yang, Sicong Du +4

We present LiDAR-GS, a Gaussian Splatting (GS) method for real-time, high-fidelity re-simulation of LiDAR scans in public urban road scenes. Recent GS methods proposed for cameras…

cs.CV2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis

Tao Tang, Guangrun Wang, Yixing Lao +5

Neural implicit fields have been a de facto standard in novel view synthesis. Recently, there exist some methods exploring fusing multiple modalities within a single field, aiming…

cs.CV2023★ 8 cited

BEVHeight++: Toward Robust Visual Centric 3D Object Detection

Lei Yang, Tao Tang, Jun Li +6

While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent…

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