About me

Dr. Qing Guo is currently a senior research scientist and principal investigator (PI) at the Center for Frontier AI Research (CFAR), A*STAR in Singapore. He is also an adjunct assistant professor at the National University of Singapore (NUS) . In 2019, he joined Nanyang Technological University (NTU) as a Research Fellow and was appointed a Wallenberg-NTU Presidential Postdoctoral Fellow in 2020. He received the Best Platinum Paper Award at ICME in 2018, the ACM Tianjin Outstanding Doctoral Dissertation Award in 2020, third place in the AISG Trusted Media Challenge, won the Best Paper Award at the ECCV 2022 AROW workshop, and AISG Robust AI challenge grant 2023. He serves as a Senior PC for AAAI. His research mainly focuses on computer vision, AI security, adversarial attack, and robustness.

tsingqguo [at] ieee [dot] org

News

  • Welcome Research assistant/Intern, PostDoc, and A*STAR SINGA PhD applications. I will support talented students to pursue Ph.D. degrees at NTU and NUS.
  • One paper is accepted to NeurIPS 2023's Datasets and Benchmarks Track.
  • One paper is accepted to IEEE TMM 2023.
  • Four papers are accepted to ICCV 2023.
  • One paper is accepted to ICSE 2023.
  • One paper is accepted to ACM-MM 2023.
  • Serve as the Senior PC for AAAI 2024 .
  • Serve as the Area Chair for PRCV 2023 .
  • Serve as the Co-Chair for IEEE CAI 2024 .
  • Pre-print version of "On the robustness of SAM" is released.
  • One paper is accepted to ACM TOSEM.
  • One paper is accepted to IEEE TCSVT 2023.
  • One paper is accepted to ICML 2023.
  • One paper is accepted to IJCAI 2023.
  • Serve as the Area Chair for VALSE from 2023.
  • Two papers are accepted to CVPR 2023.
  • One paper is accepted to ACM TOSEM.
  • One paper is accepted to IEEE INFOCOM 2023.
  • A novel data augmentation method for change detection is accepted to AAAI 2023.
  • We are awarded the Best Paper Award in ECCV 2022 AROW workshop .
  • One paper is accepted to NeurIPS 2022.
  • Selected as a reviewer for Czech Science Foundation (GACR).
  • Serve as the senior PC (Meta-reviewer) for AAAI 2023.
  • One paper is accepted to ACM-MM 2022.
  • One paper is accepted to Pattern Recognitioon (PR).
  • We are awarded the third rank in Trusted Media Challenge with 25K SGD cash prize.
  • One paper is accepted to International Journal of Computer Vision (IJCV).
  • Two papers are accepted to CVPR 2022.
  • Neuron Path Coverage (NPC) has been accepted to ACM Transactions on Software Engineering and Methodology (TOSEM).
  • Special Issue on "Machine Learning in Robust Object Detection and Tracking"
    • invites submissions.
  • FakeLocator has been accepted to IEEE TIFS.
  • Pasadena: adversarial denoise attack has been accepted to IEEE TMM 2021.
  • Learning to adversarially blur visual tracking has been accepted to ICCV 2021.
  • JPGNet and Perturbation-aware denoising have been accepted to ACM-MM 2021.
  • DeepRepair has been accepted to IEEE Transactions on Reliability
  • Detail preserving night-to-day transfer has been accepted to IEEE TCSVT 2021.
  • Adversarial vignetting attack has been accepted to IJCAI 2021.
  • Auto-exposure fusion for shadow removal has been accepted to CVPR 2021.
  • EfficientDerain, the fastest deraining method with SOTA performance, has been accepted to AAAI 2021.
  • Blurred Video Tracking (BVT) benchmark has been accepted to IEEE TIP.
  • ABBA, the first motion-based adversarial blur attack, has been accepted to NeurIPS 2020.
  • Four papers, DeepRhythm, Amora, FakePolisher and DeepSonar, have been accepted to ACM Multimedia 2020.
  • SPARK, one of the first tracking attacks, has been accepted to ECCV2020.
  • I am awarded the Wallenberg-NTU Presidential Postdoctoral Fellowship.
  • Selective Spatial Regularization for CF tracking has been accepted to IEEE TIP.
  • Saliency-aware Regularization for CF tracking has been accepted to IEEE TIP.
  • We achieved the best paper award of ICME 2018.
  • One paper was accepted to PRICAI 2018.
  • Two papers were accepted to ICME 2018.
  • Results on OTB-100 of DSiam were added.
  • Some missing files of DSiam were added.
  • The code of DSiam was added.
  • The project page of DSiam was added.
  • I obtained the National Graduate Fellowship 2017.

Selected Pre-print Publications

  • On the Robustness of Segment Anything
    Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo*
    in Arxiv
    [paper ]

Selected Publications

See the full list at Google Scholar.

§: equal contribution to the first author. *: corresponding author.

  • All In One: A Chinese Multi-Modal Dataset for Multi-Affection Detection in Conversations
    Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Jing Qin, Qiuchi Li
    NeurIPS 2023 (CCF-A).
    [paper ] [ project ]

  • Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement
    Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu, Qing Guo*, Xingyu Li, and Lei Ma
    IEEE TMM 2023 (CCF-B).
    [paper ] [ project ]

  • ALA: Naturalness-aware Adversarial Lightness Attack
    Yihao Huang, Liangru Sun, Qing Guo, Felix Juefei-Xu, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu
    ACM-MM 2023 (CCF-A).
    [paper ]

  • Leveraging Inpainting for Single-Image Shadow Removal
    Xiaoguang Li, Qing Guo*, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor Tsang, Song Wang
    ICCV 2023 (CCF-A).
    [paper ] [ code ]

  • CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
    Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan
    ICCV 2023 (CCF-A).
    [paper ] [ project link ]

  • Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis
    Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo*, Aishan Liu, Lei Ma, Yang Liu
    ACM Trans. on Software Engineering and Methodology (TOSEM) 2023 (Impact factor 4.944, CCF-A).
    [paper (Coming soon) ]

  • Coarse-to-fine Task-driven Inpainting for Geoscience Images
    Huiming Sun, Jin Ma, Qing Guo, Qin Zou,Shaoyue Song, Yuewei Lin,Hongkai Yu
    accepted to IEEE Transactions on Circuits and Systems for Video Technology 2023 (Impact factor 5.859, CCF-B).
    [paper [Coming soon] ]

  • Fairer: Fairness as Decision Rationale Alignment
    Tianlin Li, Qing Guo*, Aishan Liu, Zhiming Li, Yang Liu
    accepted to ICML 2023 (CCF-A).
    [paper [coming soon] ]

  • Fairness via Group Contribution Matching
    Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
    accepted to IJCAI 2023 (CCF-A).
    [paper [coming soon] ]

  • Evading DeepFake Detectors via Adversarial Statistical Consistency
    Yang Hou, Qing Guo*, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao
    accepted to CVPR 2023 (CCF-A).
    [paper ] [ code ]

  • Distilling Cross-Temporal Contexts for Contiguous Sign Language Recognition
    Leming Guo, Wanli Xue, Qing Guo*, Bo Liu, Kaihua Zhang, Tiantian Yuan, Shengyong Chen
    accepted to CVPR 2023 (CCF-A).
    [paper [coming soon] ]

  • ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks
    Hua Qi, Zhijie Wang, Qing Guo*, Jianlang Chen, Felix Juefei-Xu, Fuyuan Zhang, Lei Ma, Jianjun Zhao
    ACM Trans. on Software Engineering and Methodology (TOSEM) 2023 (Impact factor 4.944, CCF-A)..
    [paper ] [ project ]

  • FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning
    Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu
    accepted to IEEE INFOCOM 2023(CCF-A).
    [paper ]

  • Background-Mixed Augmentation for Weakly Supervised Change Detection
    Rui Huang, Ruofei Wang, Qing Guo*, et. al.
    accepted to AAAI 2023 (CCF-A).
    [paper , project link]

  • Generative Status Estimation and Information Decoupling for Image Rain Removal
    Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, and Ping Li
    accepted to NeurIPS 2022 (CCF-A).
    [paper , project link [coming soon]]

  • A3GAN: Attribute-Aware Anonymization Networks for Face De-identification
    Liming Zhai, Qing Guo*, Xiaofei Xie, Lei Ma, Yi Estelle Wang, Yang Liu
    accepted to ACM-MM (CCF-A).
    [paper , project link [coming soon]]

  • DARTSRepair: Core-Failure-Set Guided DARTS for Network Robustness to Common Corruptions
    Xuhong Ren, Jianlang Chen, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao, Shengyong Chen
    accepted to Pattern Recognition (Impact factor= 7.74, CCF-B).
    [paper , project link [coming soon]]

  • Countering Malicious DeepFakes: Survey, Battleground, and Horizon
    Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo*, Lei Ma, Yang Liu
    accepted to International Journal of Computer Vision (IJCV) (CCF-A).
    [paper, project link]

  • Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection
    Ruijun Gao, Qing Guo§, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang
    accepted to CVPR 2022 (CCF-A).
    [paper, code ]

  • MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting
    Xiaoguang Li, Qing Guo§, Di Lin, Ping Li, Wei Feng, Song Wang
    accepted to CVPR 2022 (CCF-A).
    [paper , code]

  • NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks
    Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo*, Felix Juefei-Xu, and Yang Liu
    accepted to ACM Transactions on Software Engineering and Methodology (TOSEM) 2022 (Impact factor 4.944, CCF-A).
    [paper, code [coming soon]]

  • FakeLocator: Robust Localization of GAN-Based Face Manipulations
    Yihao Huang, Felix Juefei-Xu, Qing Guo*, Yang Liu, and Geguang Pu
    accepted to IEEE Transactions on Information Forensics and Security (TIFS) 2021 (Impact factor 7.178, CCF-A).
    [paper, code [coming soon]]

  • Pasadena: Perceptually Aware and Stealthy adversarial denoise attack
    Yupeng Cheng, Qing Guo*, Felix Juefei-Xu, Shang-Wei Lin, Wei Feng, Weisi Lin, Yang Liu
    accepted to IEEE Transactions on Multimedial (TMM) 2021 (Impact factor 6.513, CCF-B).
    [paper, code [coming soon]]

  • Learning to Adversarially Blur Visual Object Tracking
    Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, and Jianjun Zhao
    accepted to ICCV 2021 (CCF-A).
    [paper, code]

  • JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting
    Qing Guo*, Xiaoguang Li, Felix Juefei-Xu, Hongkai Yu, Yang Liu, and Song Wang
    accepted to ACM-MM 2021 (CCF-A).
    [paper, code]

  • Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
    Yihao Huang, Qing Guo*, Felix Juefei-Xu, Lei Ma, Weikai Miao, Yang Liu, and Geguang Pu
    accepted to ACM-MM 2021 (CCF-A).
    [paper [coming soon], code [coming soon]]

  • DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment
    Bing Yu, Hua Qi, Qing Guo*, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao
    accepted to IEEE Transactions on Reliability. (Impact factor 3.177)
    [paper, code [coming soon]]

  • Let There be Light: Improved Traffic Surveillancevia Detail Preserving Night-to-Day Transfer
    Lan Fu, Hongkai Yu, Felix Juefei-Xu, Jinlong Li, Qing Guo*, Song Wang
    accepted to IEEE Trans. Circuits Syst. Video Technol. (Impact factor 4.133, CCF-B)
    [paper, code [coming soon]]

  • AVA: Adversarial Vignetting Attack against Visual Recognition
    Binyu Tian, Felix Juefei-Xu, Qing Guo*, Xiaofei Xie, Xiaohong Li, and Yang Liu
    accepted to IJCAI 2021. (CCF-A)
    [paper, code [coming soon]]

  • Auto-exposure fusion for single-image shadow removal
    Lan Fu, Changqing Zhou, Qing Guo*, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, and Song Wang
    accepted to CVPR 2021. (CCF-A)
    [paper, code]

  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
    Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, and Yang Liu
    accepted to AAAI 2021. (CCF-A)
    [paper, code]

  • Exploring the Effects of Blur and Deblurring to Visual Object Tracking
    Qing Guo, Wei Feng, Ruijun Gao, Yang Liu, and Song Wang
    IEEE Transcations on Image Processing, 2021, 30: 1812 - 1824. (CCF-A)
    [paper, code]

  • Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
    Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu
    NeurIPS 2020. (CCF-A)
    [paper, code]

  • SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
    Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu
    ECCV 2020.
    [paper, code]

  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
    Hua Qi, Qing Guo§, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao
    ACM Multimedia 2020. (CCF-A).
    [paper, code]

  • Amora: Black-box Adversarial Morphing Attack
    Run Wang, Felix Juefei-Xu, Qing Guo*, Yihao Huang, Xiaofei Xie, Lei Ma, Yang Liu
    ACM Multimedia 2020. (CCF-A).
    [paper, code]

  • DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
    Run Wang, Felix Juefei-Xu, Yihao Huang,Qing Guo *, Xiaofei Xie, Lei Ma, Yang Liu
    ACM Multimedia 2020. (CCF-A).
    [paper, code]

  • FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
    Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwei Li, Weikai Miao, Yang Liu, and Geguang Pu
    ACM Multimedia 2020. (CCF-A).
    [paper, code]

  • Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking.
    Qing Guo, Ruize Han, Wei Feng, Zhihao Chen, and Liang Wan
    IEEE Transcations on Image Processing, 2020, 29(7): 2999 - 3013. (CCF-A)
    [project]

  • Dynamic Saliency-Aware Regularization for Correlation Filter-Based Object Tracking
    Wei Feng, Ruize Han, Qing Guo*, Jianke Zhu, and Song Wang.
    IEEE Transactions on Image Processing, 2019, 28(7): 3232 - 3245. (CCF-A)
    [project]

  • Learning Dynamic Siamese Network for Visual Object Tracking
    Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, and Song Wang
    ICCV 2017. (CCF-A)
    [project]

  • Structure-Regularized Compressive Tracking with Online Data-Driven Sampling
    Qing Guo, Wei Feng, Ce Zhou, and Bin Wu
    IEEE Transactions on Image Processing, 2017, 26(12): 5692-5705. (CCF-A)
    [paper]
  • Structure-Regularized Compressive Tracking
    Qing Guo, Wei Feng, Ce Zhou, and Bin Wu
    In ICME2018. (CCF-B, Oral)
    [pdf]

  • Content-Related Spatial Regularization for Visual Object Tracking
    Ruize Han, Qing Guo §, and Wei Feng
    In ICME 2018 (CCF-B, Oral, Best Paper Award).
    [project]

  • Freqeuncy-tuned Active Contour Model
    Qing Guo, Shuifa Sun, Xuhong Ren, Fangmin Dong, Bruce Z. Gao, and Wei Feng
    Neurocomputing, 2018, 275(31): 2307-2316.
  • Freqeuncy-tuned Active Contour Model for Biomedical image segmentation
    Qing Guo, Shuifa Sun, Fangmin Dong, Wei Feng, Siyu Ma, and Bruce Z. Gao
    ICASSP 2017 (CCF-B, Oral)
    [project]

  • Fast Spatially-Regularized Correlation Filters for Visual Object Tracking
    Pengyu Zhang, Qing Guo §, and Wei Feng
    In PRICAI 2018. (CCF-C)
    [project]

  • Background-Suppressed Correlation Filters for Visual Tracking
    Zhihao Chen, Qing Guo §, Liang Wan, and Wei Feng
    In ICME 2018 .(CCF-B)
    [project]

  • Selective Object and Context Tracking
    Ce Zhou, Qing Guo*, Li Wang, and Wei Feng
    In ICASSP 2017.(CCF-B)
    [pdf]

  • Image Denosing Algorithm Based on Contourlet Transform for Optical Coherence Tomography Heart Tube Image
    Qing Guo, Fangmin Dong, Shuifa Sun, Bangjun Lei, and Zhi Gao
    IET Image Processing, 2013, 7(5): 442-450.
    [pdf]
  • Optical Coherence Tomography Heart Tube Image Denoising Based on Contourlet Transform
    Qing Guo, Shuifa Sun, Fangmin Dong, Zhi Gao, and Rui Wang
    In ICMLC, 2012, (3):1139-1144. (Oral)
    [pdf]

  • Improved Rotating Kernel Transformation Based Contourlet Domain Image Denoising Framework
    Qing Guo, Fangmin Dong, Shuifa Sun, Xuhong Ren, Shiyu Feng, and Zhi Gao
    2013 Pacific-Rim Conference on Multimedia (PCM), 2013, (8294):146-157. (CCF-C)
    [pdf]

Academic Services

  • Reviewer of NeurIPS, CVPR, ICCV, ECCV, ACM-MM, AAAI, IJCAI, ICPR
  • Reviewer of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Reviewer of IEEE Transactions on Image Processing (TIP)
  • Reviewer of IEEE Transactions on Information Forensics & Security (TIFS)
  • Reviewer of Journal of Visual Communication and Image Representation (JVCI)
  • Reviewer of Pattern Recognition Letters
  • Reviewer of Neural Processing Letters
  • Reviewer of Information Sciences
  • Reviewer of Neurocomputing
  • Reviewer of IEEE Access
  • Reviewer of IET Image Processing
  • Reviewer of Electronic Letters

Adwards

  • 2020 NTU Presidential Postdoctoral Fellowship
  • 2019 Excellent Doctor Dissertation of Tianjin University
  • 2018 China State Shipbuilding Corporation (CSSC) Scholarship
  • 2017 National Graduate Fellowship
  • 2015 Excellent Master Dissertation of Hubei province
  • 2013 National Graduate Fellowship
  • Third prize of the 5th computer simulation contest of China
  • 2011 Outstanding graduates of Hebei Province