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Jean Oh

12 papers hereh-index 449 citations13 works total

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

author position
  • middle author1
  • last author11

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.RO11
  • cs.CV1
same name
  • Jean Oh — 46 papers, h 26
  • Jean Oh — 9 papers, h 6
  • Jean Oh — 7 papers, h 4
  • Jean Oh — 6 papers, h 3
  • Jean Oh — 5 papers, h 2
  • Jean Oh — 4 papers, h 3

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
20232026
collaborators
Showing 2025Show all

4 papers · 1 filter

cs.RO2025

LongComp: Long-Tail Compositional Zero-Shot Generalization for Robust Trajectory Prediction

Benjamin Stoler, Jonathan Francis, Jean Oh

Methods for trajectory prediction in Autonomous Driving must contend with rare, safety-critical scenarios that make reliance on real-world data collection alone infeasible. To asse…

cs.RO2025

RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding

Benjamin Stoler, Juliet Yang, Jonathan Francis +1

Safety-critical scenarios are essential for training and evaluating autonomous driving (AD) systems, yet remain extremely rare in real-world driving datasets. To address this, we p…

cs.RO2025

STRIVE: Structured Representation Integrating VLM Reasoning for Efficient Object Navigation

Haokun Zhu, Zongtai Li, Zhixuan Liu +4

Vision-Language Models (VLMs) have been increasingly integrated into object navigation tasks for their rich prior knowledge and strong reasoning abilities. However, applying VLMs t…

cs.CV2025

MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments

Zhixuan Liu, Haokun Zhu, Rui Chen +4

We introduce a diffusion-based approach for generating privacy-preserving digital twins of multi-room indoor environments from depth images only. Central to our approach is a novel…

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