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Yue Gao

15 papers hereh-index 12807 citations22 works total

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

author position
  • first author5
  • middle author5
  • last author4

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV4
  • cs.IT2
  • stat.ML2
  • cs.DS1
  • cs.SE1
same name
  • Yue Gao — 28 papers, h 16
  • Yue Gao — 18 papers, h 4
  • Yue Gao — 16 papers, h 60
  • Yue Gao — 9 papers, h 41
  • Yue Gao — 9 papers, h 6
  • Yue Gao — 8 papers, h 5

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
20182023
most citedGraph-MLP: Node Classification without Message Passing in Graph

50 citations · 118 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021

Towards Language-guided Visual Recognition via Dynamic Convolutions

Gen Luo, Yiyi Zhou, Xiaoshuai Sun +3

In this paper, we are committed to establishing an unified and end-to-end multi-modal network via exploring the language-guided visual recognition. To approach this target, we firs…

cs.CV2021★ 9 cited

Rethinking Supervised Pre-training for Better Downstream Transferring

Yutong Feng, Jianwen Jiang, Mingqian Tang +2

The pretrain-finetune paradigm has shown outstanding performance on many applications of deep learning, where a model is pre-trained on a upstream large dataset (e.g. ImageNet), an…

cs.CV2021★ 8 cited

Relation Modeling in Spatio-Temporal Action Localization

Yutong Feng, Jianwen Jiang, Ziyuan Huang +5

This paper presents our solution to the AVA-Kinetics Crossover Challenge of ActivityNet workshop at CVPR 2021. Our solution utilizes multiple types of relation modeling methods for…

cs.CV2020★ 10 cited

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

He Wang, Yezhen Cong, Or Litany +2

3D object detection is an important yet demanding task that heavily relies on difficult to obtain 3D annotations. To reduce the required amount of supervision, we propose 3DIoUMatc…

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