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researcher

Jun Du

9 papers hereh-index 217 citations9 works total

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

author position
  • first author1
  • middle author6
  • last author1

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.GR1
  • cs.MM1
same name
  • Jun Du — 51 papers, h 44
  • Jun Du — 20 papers, h 7
  • Jun Du — 10 papers, h 21
  • Jun Du — 9 papers, h 5
  • Jun Du — 8 papers, h 30
  • Jun Du — 7 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

activity
20242026
collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

GraFT: A Training-Free Framework for Spatial Reasoning in Multimodal Large Language Models via 3D Scene Graphs

Junqing Du, Fernando Ropero, Erkin Turkoz +2

3D spatial reasoning underpins understanding and acting in the physical world, yet it remains unreliable in current multimodal large language models (MLLMs). These models falter at…

cs.CV2026

TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment

Chunxia Qin, Chenyu Liu, Pengcheng Xia +4

Tables are pervasive in diverse documents, making table recognition (TR) a fundamental task in document analysis. Existing modular TR pipelines separately model table structure and…

cs.CV2026

RieMind: Geometry-Grounded Spatial Agent for Scene Understanding

Fernando Ropero, Erkin Turkoz, Daniel Matos +6

Visual Language Models (VLMs) have increasingly become the main paradigm for understanding indoor scenes, but they still struggle with metric and spatial reasoning. Current approac…

cs.CV2026

REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation

Haotian Wang, Yuzhe Weng, Jun Du +6

Diffusion models have significantly advanced the field of talking head generation (THG). However, slow inference speeds and prevalent non-autoregressive paradigms severely constrai…

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