Zejian Li

About Zejian Li

Zejian Li, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of Machine learning, Artificial Intelligence.

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

Deep3DSketch-im: rapid high-fidelity AI 3D model generation by single freehand sketches

Reality3DSketch: rapid 3D modeling of objects from single freehand sketches

Learning object consistency and interaction in image generation from scene graphs

Preserving structural consistency in arbitrary artist and artwork style transfer

Sam fails to segment anything?–sam-adapter: Adapting sam in underperformed scenes: Camouflage, shadow, and more

Sam-adapter: Adapting segment anything in underperformed scenes

Correction to: Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model from Multivariate Physiological Data

Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model from Multivariate Physiological Data

Zejian Li Information

University

Position

___

Citations(all)

232

Citations(since 2020)

231

Cited By

65

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Zejian Li Skills & Research Interests

Machine learning

Artificial Intelligence

Top articles of Zejian Li

Deep3DSketch-im: rapid high-fidelity AI 3D model generation by single freehand sketches

Frontiers of Information Technology & Electronic Engineering

2024/1

Zejian Li
Zejian Li

H-Index: 5

Lingyun Sun
Lingyun Sun

H-Index: 9

Reality3DSketch: rapid 3D modeling of objects from single freehand sketches

IEEE Transactions on Multimedia

2023/10/25

Learning object consistency and interaction in image generation from scene graphs

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

2023/8/19

Preserving structural consistency in arbitrary artist and artwork style transfer

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Sam fails to segment anything?–sam-adapter: Adapting sam in underperformed scenes: Camouflage, shadow, and more

arXiv preprint arXiv:2304.09148

2023/4

Sam-adapter: Adapting segment anything in underperformed scenes

2023

Correction to: Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model from Multivariate Physiological Data

2022/9/19

Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model from Multivariate Physiological Data

2022/9/19

FIGCI: Flow-Based Information-Geometric Causal Inference

2022/8/27

Amodal Layout Completion in Complex Outdoor Scenes

2022/8/27

Quantitative detection of extra virgin olive oil adulteration, as opposed to peanut and soybean oil, employing LED-induced fluorescence spectroscopy

Sensors

2022/2/6

Few-Shot Incremental Learning for Label-to-Image Translation

2022

Image synthesis from layout with locality-aware mask adaption

2021

FET-GAN: Font and effect transfer via k-shot adaptive instance normalization

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

See List of Professors in Zejian Li University(Zhejiang University)