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Yadong Mu

11 papers hereh-index 436 citations11 works total

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

author position
  • middle author1
  • last author10

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.RO6
  • cs.CV4
  • cs.AI1
same name
  • Yadong Mu — 20 papers, h 35
  • Yadong Mu — 12 papers, h 7
  • Yadong Mu — 8 papers, h 7
  • Yadong Mu — 3 papers, h 2
  • Yadong Mu — 3 papers, h 2
  • Yadong Mu — 2 papers, h 1

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
most citedCo-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion

7 citations · 7 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

GOPAgen: Codec-Aware Agentic Long-Video Understanding with Structured Memory

Haozhe Chi, Yang Jin, Yadong Mu

Agentic long-video question answering often relies on sparse RGB sampling and caption retrieval. This reliance can lead to missed brief motion events and repeated processing of irr…

cs.CV2025

NavQ: Learning a Q-Model for Foresighted Vision-and-Language Navigation

Peiran Xu, Xicheng Gong, Yadong MU

In this work we concentrate on the task of goal-oriented Vision-and-Language Navigation (VLN). Existing methods often make decisions based on historical information, overlooking th…

cs.CV2025

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors

Peiran Xu, Yadong Mu

In this work, we focus on the task of weakly supervised affordance grounding, where a model is trained to identify affordance regions on objects using human-object interaction imag…

cs.CV2023★ 7 cited

Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion

Peiran Xu, Yadong Mu

Given a group of images, co-salient object detection (CoSOD) aims to highlight the common salient object in each image. There are two factors closely related to the success of this…

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