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Haoji Hu

19 papers hereh-index 8452 citations29 works total

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

author position
  • middle author7
  • last author12

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.CL1
  • cs.IR1
same name
  • Haoji Hu — 13 papers, h 19
  • Haoji Hu — 3 papers, h 7
  • Haoji Hu — 2 papers
  • Haoji Hu — 2 papers, h 4

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 citedTowards Distribution-Agnostic Generalized Category Discovery

2 citations · 5 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 1 cited

TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing

Lianrui Mu, Jianhong Bai, Xiaoxuan He +5

Enhancing the domain generalization performance of Face Anti-Spoofing (FAS) techniques has emerged as a research focus. Existing methods are dedicated to extracting domain-invarian…

cs.CV2023

Unified Medical Image Pre-training in Language-Guided Common Semantic Space

Xiaoxuan He, Yifan Yang, Xinyang Jiang +6

Vision-Language Pre-training (VLP) has shown the merits of analysing medical images, by leveraging the semantic congruence between medical images and their corresponding reports. I…

cs.CV2023

Robustness-Guided Image Synthesis for Data-Free Quantization

Jianhong Bai, Yuchen Yang, Huanpeng Chu +7

Quantization has emerged as a promising direction for model compression. Recently, data-free quantization has been widely studied as a promising method to avoid privacy concerns, w…

cs.CV2023★ 2 cited

Towards Distribution-Agnostic Generalized Category Discovery

Jianhong Bai, Zuozhu Liu, Hualiang Wang +7

Data imbalance and open-ended distribution are two intrinsic characteristics of the real visual world. Though encouraging progress has been made in tackling each challenge separate…

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