Kai Han

Orcid: 0000-0002-7995-9999

Affiliations:
  • University of Hong Kong, HK
  • Google Research, UK (former)
  • University of Bristol, Visual Information Laboratory, UK (former)
  • University of Oxford, Visual Geometry Group, UK (former)
  • University of Hong Kong, HK (PhD 2018)


According to our database1, Kai Han authored at least 55 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
DualRC: A Dual-Resolution Learning Framework With Neighbourhood Consensus for Visual Correspondences.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning.
CoRR, 2024

2023
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs.
CoRR, 2023

SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching.
CoRR, 2023

Guide3D: Create 3D Avatars from Text and Image Guidance.
CoRR, 2023

ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation.
CoRR, 2023

GPT4GEO: How a Language Model Sees the World's Geography.
CoRR, 2023

SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning.
CoRR, 2023

SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models.
CoRR, 2023

CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery.
CoRR, 2023

What's in a Name? Beyond Class Indices for Image Recognition.
CoRR, 2023

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models.
CoRR, 2023

HeadSculpt: Crafting 3D Head Avatars with Text.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Attention as Disentangler for Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Anisotropic Convolutional Neural Networks for RGB-D Based Semantic Scene Completion.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

AutoNovel: Automatically Discovering and Learning Novel Visual Categories.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Photometric Stereo for Non-Lambertian Surfaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Open-Set Recognition: A Good Closed-Set Classifier is All You Need.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Novel Class Discovery Without Forgetting.
Proceedings of the Computer Vision, 2022

SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generalized Category Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Spacing Loss for Discovering Novel Categories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Fixed Viewpoint Mirror Surface Reconstruction Under an Uncalibrated Camera.
IEEE Trans. Image Process., 2021

Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

LSD-C: Linearly Separable Deep Clusters.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

X Resolution Correspondence Networks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Real-time keypoints detection for autonomous recovery of the unmanned ground vehicle.
IET Image Process., 2020

XResolution Correspondence Networks.
CoRR, 2020

Learning Inverse Rendering of Faces from Real-world Videos.
CoRR, 2020

Dual-Resolution Correspondence Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Automatically Discovering and Learning New Visual Categories with Ranking Statistics.
Proceedings of the 8th International Conference on Learning Representations, 2020

Semi-Supervised Learning with Scarce Annotations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Anisotropic Convolutional Networks for 3D Semantic Scene Completion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Correspondence Networks With Adaptive Neighbourhood Consensus.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Transparent Object Matting.
Int. J. Comput. Vis., 2019

Learning to Discover Novel Visual Categories via Deep Transfer Clustering.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Image Matching and Object Discovery as Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Calibrating Deep Photometric Stereo Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction.
Int. J. Comput. Vis., 2018

PS-FCN: A Flexible Learning Framework for Photometric Stereo.
Proceedings of the Computer Vision - ECCV 2018, 2018

TOM-Net: Learning Transparent Object Matting From a Single Image.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
SCNet: Learning Semantic Correspondence.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Mirror Surface Reconstruction under an Uncalibrated Camera.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Single View 3D Reconstruction under an Uncalibrated Camera and an Unknown Mirror Sphere.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
A Novel Arc Segmentation Approach for Document Image Processing.
Int. J. Pattern Recognit. Artif. Intell., 2015

A fixed viewpoint approach for dense reconstruction of transparent objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
Multi Topic Distribution Model for Topic Discovery in Twitter.
Proceedings of the 2013 IEEE Seventh International Conference on Semantic Computing, 2013

A novel remote eye gaze tracking approach with dynamic calibration.
Proceedings of the 15th IEEE International Workshop on Multimedia Signal Processing, 2013

Extracting Categorical Topics from Tweets Using Topic Model.
Proceedings of the Information Retrieval Technology, 2013

2012
An efficient visual tracking method based on single CCD camera.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012


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