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Xiaoxiao Sun (孙晓晓)

xiaoxiao.sun@anu.edu.au

About Me

I am a Ph.D. student at the Australian National University (ANU) under the supervision of Prof. Liang Zheng and Prof. Hongdong Li. Currently, I am also working as a research associate at Nanyang (NTU), under the guidance of Prof. Ying Wei. I received my M.Sc from College of Computer and Control Engineering, Nankai University (NKU) in 2018, supervised by Prof. Jufeng Yang.

My research is centered around computer vision and machine learning. My primary interest lies in analyzing the robustness of models in dynamic environments. Specifically, I focus on assessing model resilience to domain shifts, variations in visual factors, and malicious attacks. Additionally, I am interested in data-centric evaluation for CV and ML, such as exploring the properties of datasets, investigating shortcomings of the model and the dataset, and analyzing or improving model performance through control datasets. Meanwhile, I am interested in exploring the evolution of new technologies to uncover new scientific discoveries.

I am lucky to have opportunities to work with Dr. Vivek Sharma (Sony AI), Dr. Nidham Gazagnadou (Sony AI), Dr. Lingjuan Lyu (Sony AI), Prof. Ming-Ming Cheng (Nankai University), Prof. Yu-Kun Lai and Prof. Paul Rosin (Cardiff University).

Recent News

  • Two papers are accepted by ICLR 2024

    Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic [Paper]

    CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis [Paper]

  • One paper is accepted by NeurIPS 2023 for spotlight presentation

    Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? [Paper] [Project]

  • Co-organize the 2nd Workshop on Vision Datasets Understanding at CVPR 2023
  • Internship at PPML team of Sony AI
  • One paper is accepted by ICCV 2021

    Ranking Models in Unlabeled New Environments [Paper]

  • The Alice benchmark suite is online!

    Online evaluation of domain adaptive pedestrian recognition has been opened now. More interesting tasks are coming. [Alice benchmark suite]

Publications

Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic

Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng

International Conference on Learning Representations (ICLR), 2024

Paper Project

CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis

Xiaoxiao Sun*, Xingjian Leng*, Zijian Wang*, Yang Yang*, Zi Huang, Liang Zheng

International Conference on Learning Representations (ICLR), 2024

Paper Project

Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?

Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng

Neural Information Processing Systems (NeurIPS spotlight), 2023

Paper Project

Ranking Models in Unlabeled New Environments

Xiaoxiao Sun,Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng

International Conference on Computer Vision (ICCV), 2021

Paper Project

Dissecting Person Re-identification from the Viewpoint of Viewpoint

Xiaoxiao Sun, Liang Zheng

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Paper Project

Learning from Web Data using Adversarial Discriminative Neural Networks for Fine-Grained Classification

Xiaoxiao Sun, Liyi Chen, Jufeng Yang

AAAI Conference on Artificial Intelligence (AAAI), 2019

Paper Project

A Benchmark for Automatic Visual Classification of Clinical Skin Disease Images

Xiaoxiao Sun, Jufeng Yang, Ming Sun, Kai Wang

European Conference on Computer Vision (ECCV), 2016

Paper Project Dataset

Self-Paced Balance Learning for Clinical Skin Disease Recognition

Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin and Liang Wang

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019

Paper Project

Recognition from Web Data: A Progressive Filtering Approach

Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng

IEEE Transactions on Image Processing (TIP), 2018

Paper Project

Historical Context-based Style Classification of Painting Images via Label Distribution Learning

Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng

ACM International Conference on Multimedia (ACM MM), 2018

Paper

Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria

Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Paper

Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network

Jufeng Yang, Ming Sun, Xiaoxiao Sun

AAAI Conference on Artificial Intelligence (AAAI), 2017

Paper Project

Arxiv Papers

Learning from Web Data: the Benefit of Unsupervised Object Localization

Xiaoxiao Sun, Liang Zheng, Yu-Kun Lai, Jufeng Yang

arXiv:1812.09232, 2018

Paper Project