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Dan Guo

22 papers hereh-index 18860 citations49 works total

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

author position
  • first author1
  • middle author19
  • last author2

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • cs.AI1
  • cs.LG1
  • cs.MM1
same name
  • Dan Guo — 13 papers, h 8
  • Dan Guo — 10 papers, h 25
  • Dan Guo — 10 papers, h 3
  • Dan Guo — 8 papers, h 5
  • Dan Guo — 7 papers, h 14
  • Dan Guo — 6 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 citedBenchmarking Micro-action Recognition: Dataset, Methods, and Applications

170 citations · 209 across the 22 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering

Zhangbin Li, Dan Guo, Jinxing Zhou +2

This paper focuses on the Audio-Visual Question Answering (AVQA) task that aims to answer questions derived from untrimmed audible videos. To generate accurate answers, an AVQA mod…

cs.CV2023

EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer

Fei Wang, Dan Guo, Kun Li +1

Video Motion Magnification (VMM) aims to break the resolution limit of human visual perception capability and reveal the imperceptible minor motion that contains valuable informati…

cs.MM2023★ 28 cited

Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA

Sheng Zhou, Dan Guo, Jia Li +2

Text-based visual question answering (TextVQA) faces the significant challenge of avoiding redundant relational inference. To be specific, a large number of detected objects and op…

cs.CV2023

Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding

Jiaxiu Li, Kun Li, Jia Li +3

Make-up temporal video grounding (MTVG) aims to localize the target video segment which is semantically related to a sentence describing a make-up activity, given a long video. Com…

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