John See

John See

Heriot-Watt University

H-index: 34

Europe-United Kingdom

About John See

John See, With an exceptional h-index of 34 and a recent h-index of 32 (since 2020), a distinguished researcher at Heriot-Watt University, specializes in the field of Computer Vision, Image Processing, Multimedia, Artificial Intelligence, Affective Computing.

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

Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations

Controllable augmentations for video representation learning

Skeleton ground truth extraction: methodology, annotation tool and benchmarks

A Unified Framework for Jointly Compressing Visual and Semantic Data

SFAMNet: A scene flow attention-based micro-expression network

What Modality Matters? Exploiting Highly Relevant Features for Video Advertisement Insertion

Editorial for pattern recognition letters special issue on face-based emotion understanding

EmoStory: Emotion Prediction and Mapping in Narrative Stories

John See Information

University

Position

Associate Professor

Citations(all)

4238

Citations(since 2020)

3601

Cited By

1689

hIndex(all)

34

hIndex(since 2020)

32

i10Index(all)

62

i10Index(since 2020)

56

Email

University Profile Page

Heriot-Watt University

Google Scholar

View Google Scholar Profile

John See Skills & Research Interests

Computer Vision

Image Processing

Multimedia

Artificial Intelligence

Affective Computing

Top articles of John See

Title

Journal

Author(s)

Publication Date

Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations

ACM Transactions on Multimedia Computing, Communications and Applications

Weiyao Lin

Yufeng Zhang

Wenrui Dai

Huabin Liu

John See

...

2024

Controllable augmentations for video representation learning

Visual Intelligence

Rui Qian

Weiyao Lin

John See

Dian Li

2024/12

Skeleton ground truth extraction: methodology, annotation tool and benchmarks

International Journal of Computer Vision

Cong Yang

Bipin Indurkhya

John See

Bo Gao

Yan Ke

...

2024/4

A Unified Framework for Jointly Compressing Visual and Semantic Data

ACM Transactions on Multimedia Computing, Communications and Applications

Shizhan Liu

Weiyao Lin

Yihang Chen

Yufeng Zhang

Wenrui Dai

...

2024/3/28

SFAMNet: A scene flow attention-based micro-expression network

Neurocomputing

Gen-Bing Liong

Sze-Teng Liong

Chee Seng Chan

John See

2024/1/21

What Modality Matters? Exploiting Highly Relevant Features for Video Advertisement Insertion

Onn Keat Chong

Hui-Ngo Goh

John See

2023/10/8

Editorial for pattern recognition letters special issue on face-based emotion understanding

Pattern Recognition Letters

Jingting Li

Moi Hoon Yap

Wen-Huang Cheng

John See

Xiaopeng Hong

...

2023/4

EmoStory: Emotion Prediction and Mapping in Narrative Stories

JOIV: International Journal on Informatics Visualization

Seng-Wei Too

John See

Albert Quek

Hui-Ngo Goh

2023/11/30

Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images

Sidharrth Nagappan

Jia Qi Tan

Lai-Kuan Wong

John See

2023/10/8

Towards accurate image stitching for drone-based wind turbine blade inspection

Renewable Energy

Cong Yang

Xun Liu

Hua Zhou

Yan Ke

John See

2023/2/1

ACMMM Workshop FME’23 Chairs’ Welcome

Adrian K Davison

Jingting Li

Moi Yap

John See

Wen-Huang Cheng

...

2023/10/29

Pedestrian Collision Prediction Using a Monocular Camera

Shiyuan Chen

Xue Qin

Zeyd Boukhers

John See

Wei Sui

...

2023/9/21

Ernet: An efficient and reliable human-object interaction detection network

IEEE Transactions on Image Processing

JunYi Lim

Vishnu Monn Baskaran

Joanne Mun-Yee Lim

KokSheik Wong

John See

...

2023/1/26

MEGC2023: ACM Multimedia 2023 ME Grand Challenge

Adrian K Davison

Jingting Li

Moi Hoon Yap

John See

Wen-Huang Cheng

...

2023/10/26

Automatic Defect Detection in Wind Turbine Blade Images: Model Benchmarks and Re-Annotations

Imad Gohar

John See

Abderrahim Halimi

Weng Kean Yew

2023/7/10

Doing more with Moiré pattern detection in digital photos

IEEE Transactions on Image Processing

Cong Yang

Zhenyu Yang

Yan Ke

Tao Chen

Marcin Grzegorzek

...

2023/1/4

FME'23: 3rd Facial Micro-Expression Workshop

Adrian K Davison

Jingting Li

Moi Hoon Yap

John See

Wen-Huang Cheng

...

2023/10/26

Few-shot action recognition via intra-and inter-video information maximization

arXiv preprint arXiv:2305.06114

Huabin Liu

Weiyao Lin

Tieyuan Chen

Yuxi Li

Shuyuan Li

...

2023/5/10

Spot-then-recognize: A micro-expression analysis network for seamless evaluation of long videos

Signal Processing: Image Communication

Gen-Bing Liong

John See

Chee-Seng Chan

2023/1/1

Slice-Aided Defect Detection in Ultra High-Resolution Wind Turbine Blade Images

Machines

Imad Gohar

Abderrahim Halimi

John See

Weng Kean Yew

Cong Yang

2023/10/12

See List of Professors in John See University(Heriot-Watt University)

Co-Authors

H-index: 53
Lingyu Duan  段凌宇

Lingyu Duan 段凌宇

Peking University

H-index: 50
Raphaël C.-W. Phan

Raphaël C.-W. Phan

Monash University

H-index: 43
Weiyao Lin

Weiyao Lin

Shanghai Jiao Tong University

H-index: 35
Wen-Huang Cheng

Wen-Huang Cheng

National Chiao Tung University

H-index: 29
KokSheik Wong

KokSheik Wong

Monash University

H-index: 20
LIONG SZE TENG

LIONG SZE TENG

Feng Chia University

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