Liang Zheng

Liang Zheng

Australian National University

H-index: 56

Oceania-Australia

About Liang Zheng

Liang Zheng, With an exceptional h-index of 56 and a recent h-index of 53 (since 2020), a distinguished researcher at Australian National University, specializes in the field of Computer Vision, Machine Learning, Object Re-identification, Dataset-centered Vision.

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

The first to know: How token distributions reveal hidden knowledge in large vision-language models?

Alice benchmarks: Connecting real world object re-identification with the synthetic

Taylor videos for action recognition

CIFAR-10-Warehouse: Broad and more realistic testbeds in model generalization analysis

Learning to select camera views: Efficient multiview understanding at few glances

Bounding box stability against feature dropout reflects detector generalization across environments

Optimizing calibration by gaining aware of prediction correctness

Towards optimal feature-shaping methods for out-of-distribution detection

Liang Zheng Information

University

Position

___

Citations(all)

35125

Citations(since 2020)

31495

Cited By

15476

hIndex(all)

56

hIndex(since 2020)

53

i10Index(all)

82

i10Index(since 2020)

80

Email

University Profile Page

Australian National University

Google Scholar

View Google Scholar Profile

Liang Zheng Skills & Research Interests

Computer Vision

Machine Learning

Object Re-identification

Dataset-centered Vision

Top articles of Liang Zheng

Title

Journal

Author(s)

Publication Date

The first to know: How token distributions reveal hidden knowledge in large vision-language models?

arXiv preprint arXiv:2403.09037

Qinyu Zhao

Ming Xu

Kartik Gupta

Akshay Asthana

Liang Zheng

...

2024/3/14

Alice benchmarks: Connecting real world object re-identification with the synthetic

Xiaoxiao Sun

Yue Yao

Shengjin Wang

Hongdong Li

Liang Zheng

2024

Taylor videos for action recognition

arXiv preprint arXiv:2402.03019

Lei Wang

Xiuyuan Yuan

Tom Gedeon

Liang Zheng

2024/2/5

CIFAR-10-Warehouse: Broad and more realistic testbeds in model generalization analysis

ICLR

Xiaoxiao Sun*

Xingjian Leng*

Zijian Wang*

Yang Yang*

Zi Huang

...

2024

Learning to select camera views: Efficient multiview understanding at few glances

arXiv preprint arXiv:2303.06145

Yunzhong Hou

Stephen Gould

Liang Zheng

2023/3/10

Bounding box stability against feature dropout reflects detector generalization across environments

Yang Yang

Wenhai Wang

Zhe Chen

Jifeng Dai

Liang Zheng

2024

Optimizing calibration by gaining aware of prediction correctness

arXiv preprint arXiv:2404.13016

Yuchi Liu

Lei Wang

Yuli Zou

James Zou

Liang Zheng

2024/4/19

Towards optimal feature-shaping methods for out-of-distribution detection

ICLR 2024

Qinyu Zhao

Ming Xu

Kartik Gupta

Akshay Asthana

Liang Zheng

...

2024/2/1

Training a small emotional vision language model for visual art comprehension

arXiv preprint arXiv:2403.11150

Jing Zhang

Liang Zheng

Dan Guo

Meng Wang

2024/3/17

Strong and controllable blind image decomposition

arXiv preprint arXiv:2403.10520

Zeyu Zhang

Junlin Han

Chenhui Gou

Hongdong Li

Liang Zheng

2024/3/15

SmartMask: Context aware high-fidelity mask generation for fine-grained object insertion and layout control

CVPR 2024

Jaskirat Singh

Jianming Zhang

Qing Liu

Cameron Smith

Zhe Lin

...

2023/12/8

The 7th ai city challenge

Milind Naphade

Shuo Wang

David C Anastasiu

Zheng Tang

Ming-Ching Chang

...

2023

Privacy assessment on reconstructed images: Are existing evaluation metrics faithful to human perception?

Xiaoxiao Sun

Nidham Gazagnadou

Vivek Sharma

Lingjuan Lyu

Hongdong Li

...

2023

High-fidelity guided image synthesis with latent diffusion models

CVPR 2023

Jaskirat Singh

Stephen Gould

Liang Zheng

2022/11/30

How far pre-trained models are from neural collapse on the target dataset informs their transferability

Zijian Wang

Yadan Luo

Liang Zheng

Zi Huang

Mahsa Baktashmotlagh

2023

Divide, evaluate, and refine: Evaluating and improving text-to-image alignment with iterative VQA feedback

NeurIPS 2023

Jaskirat Singh

Liang Zheng

2023/7/10

Adaptive calibrator ensemble: Navigating test set difficulty in out-of-distribution scenarios

Yuli Zou*

Weijian Deng*

Liang Zheng

2023

Large-scale training data search for object re-identification

Yue Yao

Tom Gedeon

Liang Zheng

2023

A bag-of-prototypes representation for dataset-level applications

Weijie Tu

Weijian Deng

Tom Gedeon

Liang Zheng

2023

Confidence and dispersity speak: Characterising prediction matrix for unsupervised accuracy estimation

Weijian Deng

Yumin Suh

Stephen Gould

Liang Zheng

2023/2/2

See List of Professors in Liang Zheng University(Australian National University)

Co-Authors

H-index: 121
Yi Yang

Yi Yang

University of Technology Sydney

H-index: 56
Tom Gedeon

Tom Gedeon

Australian National University

H-index: 54
Manmohan Chandraker

Manmohan Chandraker

University of California, San Diego

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