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Kedan Li

About Kedan Li

Kedan Li, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Computer Vision, Representation Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On

Preserving Image Properties Through Initializations in Diffusion Models

Controlling Virtual Try-On Pipeline Through Rendering Policies

Povnet: Image-based virtual try-on through accurate warping and residual

Controllable image-based virtual try-on system

Wearing the Same Outfit in Different Ways--A Controllable Virtual Try-on Method

Toward accurate and realistic outfits visualization with attention to details

Search engine use of neural network regressor for multi-modal item recommendations based on visual semantic embeddings

Kedan Li Information

University

Position

___

Citations(all)

415

Citations(since 2020)

407

Cited By

131

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Kedan Li Skills & Research Interests

Computer Vision

Representation Learning

Deep Learning

Top articles of Kedan Li

ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On

arXiv preprint arXiv:2403.13951

2024/3/20

Jeffrey Zhang
Jeffrey Zhang

H-Index: 5

Kedan Li
Kedan Li

H-Index: 5

David Forsyth
David Forsyth

H-Index: 47

Preserving Image Properties Through Initializations in Diffusion Models

2024

Jeffrey Zhang
Jeffrey Zhang

H-Index: 5

Kedan Li
Kedan Li

H-Index: 5

David Forsyth
David Forsyth

H-Index: 47

Controlling Virtual Try-On Pipeline Through Rendering Policies

2024

Kedan Li
Kedan Li

H-Index: 5

Jeffrey Zhang
Jeffrey Zhang

H-Index: 5

David Forsyth
David Forsyth

H-Index: 47

Povnet: Image-based virtual try-on through accurate warping and residual

IEEE transactions on pattern analysis and machine intelligence

2023/6/9

Kedan Li
Kedan Li

H-Index: 5

Jeffrey Zhang
Jeffrey Zhang

H-Index: 5

David Forsyth
David Forsyth

H-Index: 47

Controllable image-based virtual try-on system

2023/3/23

Wearing the Same Outfit in Different Ways--A Controllable Virtual Try-on Method

arXiv preprint arXiv:2211.16989

2022/11/29

Kedan Li
Kedan Li

H-Index: 5

Jeffrey Zhang
Jeffrey Zhang

H-Index: 5

David Forsyth
David Forsyth

H-Index: 47

Toward accurate and realistic outfits visualization with attention to details

2021

Kedan Li
Kedan Li

H-Index: 5

Min Jin Chong
Min Jin Chong

H-Index: 4

Jeffrey Zhang
Jeffrey Zhang

H-Index: 5

Search engine use of neural network regressor for multi-modal item recommendations based on visual semantic embeddings

2020/10/1

Toward accurate and realistic virtual try-on through shape matching and multiple warps

arXiv preprint arXiv:2003.10817

2020/3/22

Kedan Li
Kedan Li

H-Index: 5

Min Jin Chong
Min Jin Chong

H-Index: 4

David Forsyth
David Forsyth

H-Index: 47

Determining consensus by parallel proof of voting in consortium blockchain

2020/2/20

See List of Professors in Kedan Li University(University of Illinois at Urbana-Champaign)