Congcong Zhu

About Congcong Zhu

Congcong Zhu, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Shanghai University, specializes in the field of Computer Vision.

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

Toward Quantifiable Face age Transformation

HeadDiff: Exploring Rotation Uncertainty With Diffusion Models for Head Pose Estimation

A multi-scale feature fusion network with cascaded supervision for cross-scene crowd counting

Robust age estimation model using group‐aware contrastive learning

Reasoning structural relation for occlusion-robust facial landmark localization

Occlusion-robust face alignment using a viewpoint-invariant hierarchical network architecture

Multi-sourced knowledge integration for robust self-supervised facial landmark tracking

Unsupervised Learning of Multi-level Structures for Anomaly Detection

Congcong Zhu Information

University

Position

Ph.D

Citations(all)

100

Citations(since 2020)

100

Cited By

11

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Congcong Zhu Skills & Research Interests

Computer Vision

Top articles of Congcong Zhu

Toward Quantifiable Face age Transformation

2024/4/14

HeadDiff: Exploring Rotation Uncertainty With Diffusion Models for Head Pose Estimation

IEEE Transactions on Image Processing

2024/3/7

A multi-scale feature fusion network with cascaded supervision for cross-scene crowd counting

IEEE Transactions on Instrumentation and Measurement

2023/2/20

Robust age estimation model using group‐aware contrastive learning

IET Image Processing

2022/10

Reasoning structural relation for occlusion-robust facial landmark localization

Pattern Recognition

2022/2/1

Occlusion-robust face alignment using a viewpoint-invariant hierarchical network architecture

2022

Congcong Zhu
Congcong Zhu

H-Index: 2

Xiaoqiang Li
Xiaoqiang Li

H-Index: 14

Multi-sourced knowledge integration for robust self-supervised facial landmark tracking

IEEE Transactions on Multimedia

2022/10/5

Unsupervised Learning of Multi-level Structures for Anomaly Detection

arXiv preprint arXiv:2104.12102

2021/4/25

Improving robustness of facial landmark detection by defending against adversarial attacks

2021

Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos

Pattern Recognition

2020/11/1

Spatial-temporal knowledge integration: Robust self-supervised facial landmark tracking

2020/10/12

Congcong Zhu
Congcong Zhu

H-Index: 2

Xiaoqiang Li
Xiaoqiang Li

H-Index: 14

Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos.

2020

See List of Professors in Congcong Zhu University(Shanghai University)