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Yuankai Qi

11 papers hereh-index 8206 citations27 works total

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

author position
  • middle author10
  • last author1

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

fields
  • cs.CV10
  • cs.CL1
same name
  • Yuankai Qi — 23 papers, h 32
  • Yuankai Qi — 10 papers, h 5
  • Yuankai Qi — 9 papers, h 4
  • Yuankai Qi — 3 papers, h 2
  • Yuankai Qi — 2 papers, h 2
  • Yuankai Qi — 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 citedDynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection

3 citations · 5 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Adapter-Enhanced Semantic Prompting for Continual Learning

Baocai Yin, Ji Zhao, Huajie Jiang +5

Continual learning (CL) enables models to adapt to evolving data streams. A major challenge of CL is catastrophic forgetting, where new knowledge will overwrite previously acquired…

cs.CV2024

RETTA: Retrieval-Enhanced Test-Time Adaptation for Zero-Shot Video Captioning

Yunchuan Ma, Laiyun Qing, Guorong Li +4

Despite the significant progress of fully-supervised video captioning, zero-shot methods remain much less explored. In this paper, we propose a novel zero-shot video captioning fra…

cs.CV2024★ 1 cited

Generating Content for HDR Deghosting from Frequency View

Tao Hu, Qingsen Yan, Yuankai Qi +1

Recovering ghost-free High Dynamic Range (HDR) images from multiple Low Dynamic Range (LDR) images becomes challenging when the LDR images exhibit saturation and significant motion…

cs.CL2024★ 1 cited

StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing

Gaoxiang Cong, Yuankai Qi, Liang Li +6

Given a script, the challenge in Movie Dubbing (Visual Voice Cloning, V2C) is to generate speech that aligns well with the video in both time and emotion, based on the tone of a re…

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