◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Qun Dai

4 papers here

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedUncertainty Guided Refinement for Fine-Grained Salient Object Detection

17 citations · 17 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2025

CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis

Kanglin Qu, Pan Gao, Qun Dai +3

Due to the long-range modeling ability and linear complexity property, Mamba has attracted considerable attention in point cloud analysis. Despite some interesting progress, relate…

cs.LG2025

InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions

Liangjian Wen, Qun Dai, Jianzhuang Liu +7

In multimodal representation learning, synergistic interactions between modalities not only provide complementary information but also create unique outcomes through specific inter…

cs.CV2025

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning

Kanglin Qu, Pan Gao, Qun Dai +1

The attention mechanism has become a dominant operator in point cloud learning, but its quadratic complexity leads to limited inter-point interactions, hindering long-range depende…

cs.CV2025★ 17 cited

Uncertainty Guided Refinement for Fine-Grained Salient Object Detection

Yao Yuan, Pan Gao, Qun Dai +2

Recently, salient object detection (SOD) methods have achieved impressive performance. However, salient regions predicted by existing methods usually contain unsaturated regions an…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.