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researcher

Jun Ma

10 papers hereh-index 4108 citations11 works total

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

author position
  • middle author1
  • last author9

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO4
  • cs.AI1
  • cs.CL1
same name
  • Jun Ma — 13 papers, h 5
  • Jun Ma — 13 papers, h 4
  • Jun Ma — 11 papers, h 10
  • Jun Ma — 10 papers, h 6
  • Jun Ma — 9 papers, h 3
  • Jun Ma — 9 papers, h 2

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving

Pei Liu, Qingtian Ning, Xinyan Lu +6

The pursuit of autonomous agents capable of temporally coherent planning is hindered by a fundamental flaw in current vision-language models (VLMs): they lack cognitive inertia. Op…

cs.CV2025

LiSTAR: Ray-Centric World Models for 4D LiDAR Sequences in Autonomous Driving

Pei Liu, Songtao Wang, Lang Zhang +9

Synthesizing high-fidelity and controllable 4D LiDAR data is crucial for creating scalable simulation environments for autonomous driving. This task is inherently challenging due t…

cs.CV2025

OmniScene: Attention-Augmented Multimodal 4D Scene Understanding for Autonomous Driving

Pei Liu, Hongliang Lu, Haichao Liu +5

Human vision is capable of transforming two-dimensional observations into an egocentric three-dimensional scene understanding, which underpins the ability to translate complex scen…

cs.CV2025

VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion

Pei Liu, Haipeng Liu, Haichao Liu +3

Human drivers adeptly navigate complex scenarios by utilizing rich attentional semantics, but the current autonomous systems struggle to replicate this ability, as they often lose…

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