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researcher

Kai Han

The University of Hong Kong

61 papers hereh-index 365.1k citations73 works total

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

author position
  • first author6
  • middle author37
  • last author17

Across the 60 of 61 papers where every author was matched, so the position is known.

fields
  • cs.CV56
  • cs.CL3
  • eess.IV2
affiliations
  • The University of Hong Kong
Homepage
same name
  • Kai Han — 37 papers, h 38
  • Kai Han — 30 papers, h 15
  • Kai Han — 12 papers, h 3
  • Kai Han — 10 papers, h 5
  • Kai Han — 7 papers, h 2
  • Kai Han — 6 papers, 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

works on
computer vision 1image matching 1object discovery 1optimization 1unsupervised learning 1

From the 1 of 61 linked papers with an AI index.

activity
20182025
most citedAutoNovel: Automatically Discovering and Learning Novel Visual Categories

151 citations · 316 across the 50 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CV2022

Spacing Loss for Discovering Novel Categories

K J Joseph, Sujoy Paul, Gaurav Aggarwal +4

Novel Class Discovery (NCD) is a learning paradigm, where a machine learning model is tasked to semantically group instances from unlabeled data, by utilizing labeled instances fro…

cs.CV2022

JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction

Yukang Cao, Guanying Chen, Kai Han +2

This paper addresses the problem of single view 3D human reconstruction. Recent implicit function based methods have shown impressive results, but they fail to recover fine face de…

cs.CV2022★ 2 cited

SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation

Chenming Zhu, Xuanye Zhang, Yanran Li +3

Excellent performance has been achieved on instance segmentation but the quality on the boundary area remains unsatisfactory, which leads to a rising attention on boundary refineme…

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