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Hao Li

4 papers here

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
ORCID 0000-0001-9305-8524
same name
  • Hao Li — 43 papers, h 61
  • Hao Li — 42 papers, h 89
  • Hao Li — 32 papers, h 37
  • Hao Li — 20 papers
  • Hao Li — 20 papers
  • Hao Li — 18 papers

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
20162024
most citedInstant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

26 citations · 27 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack

Ziyi Gao, Kai Chen, Zhipeng Wei +5

Recent diffusion-based unrestricted attacks generate imperceptible adversarial examples with high transferability compared to previous unrestricted attacks and restricted attacks.…

cs.CV2022★ 1 cited

Dynamic Gradient Reactivation for Backward Compatible Person Re-identification

Xiao Pan, Hao Luo, Weihua Chen +6

We study the backward compatible problem for person re-identification (Re-ID), which aims to constrain the features of an updated new model to be comparable with the existing featu…

cs.CV2021★ 26 cited

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

Qiang Zhou, Chaohui Yu, Zhibin Wang +2

Supervised learning based object detection frameworks demand plenty of laborious manual annotations, which may not be practical in real applications. Semi-supervised object detecti…

cs.CV2016

Deep CTR Prediction in Display Advertising

Junxuan Chen, Baigui Sun, Hao Li +2

Click through rate (CTR) prediction of image ads is the core task of online display advertising systems, and logistic regression (LR) has been frequently applied as the prediction…

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