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Hongfa Wang

4 papers hereh-index 92.2k citations11 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV4
same name
  • Hongfa Wang — 7 papers
  • Hongfa Wang — 5 papers, h 15
  • Hongfa Wang — 3 papers, h 3
  • Hongfa Wang — 1 paper, h 1
  • Hongfa Wang — 1 paper, h 1
  • Hongfa Wang — 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
20222025
most citedDeep Unsupervised Hashing with Latent Semantic Components

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation

Yue Ma, Zexuan Yan, Hongyu Liu +11

We present Follow-Your-Emoji-Faster, an efficient diffusion-based framework for freestyle portrait animation driven by facial landmarks. The main challenges in this task are preser…

cs.CV2024

HunyuanVideo: A Systematic Framework For Large Video Generative Models

Weijie Kong, Qi Tian, Zijian Zhang +49

Recent advancements in video generation have significantly impacted daily life for both individuals and industries. However, the leading video generation models remain closed-sourc…

cs.CV2024

Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation

Qihua Chen, Yue Ma, Hongfa Wang +7

This paper explores higher-resolution video outpainting with extensive content generation. We point out common issues faced by existing methods when attempting to largely outpaint…

cs.CV2022★ 1 cited

Deep Unsupervised Hashing with Latent Semantic Components

Qinghong Lin, Xiaojun Chen, Qin Zhang +3

Deep unsupervised hashing has been appreciated in the regime of image retrieval. However, most prior arts failed to detect the semantic components and their relationships behind th…

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