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researcher

Ke Gao

4 papers hereh-index 466 citations8 works total

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.IR1
same name
  • Ke Gao — 8 papers, h 4
  • Ke Gao — 3 papers, h 13
  • Ke Gao — 1 paper, h 3
  • Ke Gao — 1 paper, h 2
  • Ke Gao — 1 paper, h 1
  • Ke Gao — 1 paper, 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
20212023
most citedScenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation

22 citations · 29 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Directional Texture Editing for 3D Models

Shengqi Liu, Zhuo Chen, Jingnan Gao +4

Texture editing is a crucial task in 3D modeling that allows users to automatically manipulate the surface materials of 3D models. However, the inherent complexity of 3D models and…

cs.CV2022★ 5 cited

Masked Contrastive Pre-Training for Efficient Video-Text Retrieval

Fangxun Shu, Biaolong Chen, Yue Liao +6

We present a simple yet effective end-to-end Video-language Pre-training (VidLP) framework, Masked Contrastive Video-language Pretraining (MAC), for video-text retrieval tasks. Our…

cs.IR2022★ 22 cited

Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation

Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu +3

Multi-scenario recommendation is dedicated to retrieve relevant items for users in multiple scenarios, which is ubiquitous in industrial recommendation systems. These scenarios enj…

cs.CV2021★ 1 cited

Multi-Granularity Network with Modal Attention for Dense Affective Understanding

Baoming Yan, Lin Wang, Ke Gao +5

Video affective understanding, which aims to predict the evoked expressions by the video content, is desired for video creation and recommendation. In the recent EEV challenge, a d…

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