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Jianbo Zhao

7 papers hereh-index 5124 citations9 works total

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

author position
  • first author4
  • middle author2

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV3
same name
  • Jianbo Zhao — 4 papers, h 2
  • Jianbo Zhao — 2 papers, h 5
  • Jianbo Zhao — 1 paper, h 9
  • Jianbo Zhao — 1 paper, h 6

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 citedMCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

4 citations · 6 across the 6 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2025

Autoregressive End-to-End Planning with Time-Invariant Spatial Alignment and Multi-Objective Policy Refinement

Jianbo Zhao, Taiyu Ban, Xiangjie Li +5

The inherent sequential modeling capabilities of autoregressive models make them a formidable baseline for end-to-end planning in autonomous driving. Nevertheless, their performanc…

cs.RO2025

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation

Jianbo Zhao, Taiyu Ban, Xiyang Wang +6

Controllable trajectory generation guided by high-level semantic decisions, termed meta-actions, is crucial for autonomous driving systems. A significant limitation of existing fra…

cs.RO2025

DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling

Jianbo Zhao, Taiyu Ban, Zhihao Liu +7

Accurate and efficient modeling of agent interactions is essential for trajectory generation, the core of autonomous driving systems. Existing methods, scene-centric, agent-centric…

cs.RO2024

KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation

Jianbo Zhao, Jiaheng Zhuang, Qibin Zhou +7

Trajectory generation is a pivotal task in autonomous driving. Recent studies have introduced the autoregressive paradigm, leveraging the state transition model to approximate futu…

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