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ORCIDQing Guo 0005
Person information
- affiliation: Nanyang Technological University, Cyber Security Research Centre, Singapore
- affiliation (PhD): Tianjin University, College of Intelligence and Computing, China
Other persons with the same name
- Qing Guo — disambiguation page
- Qing Guo 0001
![[0000-0003-4209-5469]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4209-5469")
— Harbin Institute of Technology, School of Electronics and Information Engineering, Communication Research Center, China (and 1 more) - Qing Guo 0002 — Zhejiang University, College of Computer Science, Hangzhou, China
- Qing Guo 0003 — University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, Chengdu, China (and 2 more)
- Qing Guo 0004 — NVIDIA, Beaverton, OR, USA (and 1 more)
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2020 – today
- 2024
[j30]Xiaodan Chen, Qing Guo, Xiaorong Chen, Wanjing Zheng, Yaqing Kang, Dairong Cao:
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma. BMC Medical Imaging 24(1): 48 (2024)- [j29]Yihao Huang, Felix Juefei-Xu, Qing Guo, Yang Liu, Geguang Pu:
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6949-6962 (2024) - [j28]Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao:
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. 19: 4560-4571 (2024) - [j27]Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu:
Texture Re-Scalable Universal Adversarial Perturbation. IEEE Trans. Inf. Forensics Secur. 19: 8291-8305 (2024) - [j26]Yihao Huang, Felix Juefei-Xu, Qing Guo, Geguang Pu, Yang Liu:
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network. IEEE Trans. Multim. 26: 5729-5740 (2024) - [j25]Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma, Yang Liu:
Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. ACM Trans. Softw. Eng. Methodol. 33(1): 21:1-21:24 (2024) - [c57]Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu:
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. AAAI 2024: 21169-21178 - [c56]Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu:
Cosalpure: Learning Concept from Group Images for Robust Co-Saliency Detection. CVPR 2024: 3669-3678 - [c55]Jinlong Li, Baolu Li, Zhengzhong Tu, Xinyu Liu, Qing Guo, Felix Juefei-Xu, Runsheng Xu, Hongkai Yu:
Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving. CVPR 2024: 15205-15215 - [c54]Ruofei Wang, Qing Guo, Haoliang Li, Renjie Wan:
Event Trojan: Asynchronous Event-Based Backdoor Attacks. ECCV (7) 2024: 315-332 - [c53]Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo:
Boosting Transferability in Vision-Language Attacks via Diversification Along the Intersection Region of Adversarial Trajectory. ECCV (57) 2024: 442-460 - [c52]Ruofei Wang, Renjie Wan, Zongyu Guo, Qing Guo, Rui Huang:
SPY-Watermark: Robust Invisible Watermarking for Backdoor Attack. ICASSP 2024: 2700-2704 - [c51]Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu:
Architecture-Agnostic Iterative Black-Box Certified Defense Against Adversarial Patches. ICASSP 2024: 5985-5989 - [c50]Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo:
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. ICLR 2024 - [c49]Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao:
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks. ICLR 2024 - [c48]Jinlong Li, Baolu Li, Xinyu Liu, Jianwu Fang, Felix Juefei-Xu, Qing Guo, Hongkai Yu:
AdvGPS: Adversarial GPS for Multi-Agent Perception Attack. ICRA 2024: 18421-18427 - [c47]Tianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang, Aishan Liu, Qing Guo, Yang Liu:
RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. ICSE 2024: 9:1-9:13 - [c46]Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu:
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. WACV 2024: 8330-8339 - [i82]Ruofei Wang, Renjie Wan, Zongyu Guo, Qing Guo, Rui Huang:
Spy-Watermark: Robust Invisible Watermarking for Backdoor Attack. CoRR abs/2401.02031 (2024) - [i81]Jinlong Li, Baolu Li, Xinyu Liu, Jianwu Fang, Felix Juefei-Xu, Qing Guo, Hongkai Yu:
AdvGPS: Adversarial GPS for Multi-Agent Perception Attack. CoRR abs/2401.17499 (2024) - [i80]Yihao Huang, Kaiyuan Yu, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Tianlin Li, Geguang Pu, Yang Liu:
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective. CoRR abs/2402.02738 (2024) - [i79]Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang:
Transductive Reward Inference on Graph. CoRR abs/2402.03661 (2024) - [i78]Qi Zhou, Dongxia Wang, Tianlin Li, Zhihong Xu, Yang Liu, Kui Ren, Wenhai Wang, Qing Guo:
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution. CoRR abs/2402.03705 (2024) - [i77]Tianlin Li, Xiaoyu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu:
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One. CoRR abs/2402.12150 (2024) - [i76]Tianlin Li, Qian Liu, Tianyu Pang, Chao Du, Qing Guo, Yang Liu, Min Lin:
Purifying Large Language Models by Ensembling a Small Language Model. CoRR abs/2402.14845 (2024) - [i75]Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo:
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory. CoRR abs/2403.12445 (2024) - [i74]Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu:
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection. CoRR abs/2403.18554 (2024) - [i73]Jinlong Li, Baolu Li, Zhengzhong Tu, Xinyu Liu, Qing Guo, Felix Juefei-Xu, Runsheng Xu, Hongkai Yu:
Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving. CoRR abs/2404.04804 (2024) - [i72]Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao:
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks. CoRR abs/2404.06247 (2024) - [i71]Qi Guo, Shanmin Pang, Xiaojun Jia, Qing Guo:
Efficiently Adversarial Examples Generation for Visual-Language Models under Targeted Transfer Scenarios using Diffusion Models. CoRR abs/2404.10335 (2024) - [i70]Nhat Minh Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, Qing Guo:
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography. CoRR abs/2405.14169 (2024) - [i69]Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu:
Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs. CoRR abs/2405.14189 (2024) - [i68]Bowen Zhang, Xiaofei Xie, Haotian Lu, Na Ma, Tianlin Li, Qing Guo:
MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling. CoRR abs/2405.18003 (2024) - [i67]Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Run Wang, Geguang Pu, Yang Liu:
Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake. CoRR abs/2405.18071 (2024) - [i66]Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu:
Texture Re-scalable Universal Adversarial Perturbation. CoRR abs/2406.06089 (2024) - [i65]Tianyu Wei, Shanmin Pang, Qi Guo, Yizhuo Ma, Qing Guo:
EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor Generation. CoRR abs/2406.15863 (2024) - [i64]Ruofei Wang, Qing Guo, Haoliang Li, Renjie Wan:
Event Trojan: Asynchronous Event-based Backdoor Attacks. CoRR abs/2407.06838 (2024) - [i63]Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao:
Compromising Embodied Agents with Contextual Backdoor Attacks. CoRR abs/2408.02882 (2024) - [i62]Sensen Gao, Xiaojun Jia, Yihao Huang, Ranjie Duan, Jindong Gu, Yang Liu, Qing Guo:
RT-Attack: Jailbreaking Text-to-Image Models via Random Token. CoRR abs/2408.13896 (2024) - 2023
- [j24]Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo, Han Yu:
FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning. Proc. ACM Manag. Data 1(3): 212:1-212:24 (2023) - [j23]Huiming Sun, Jin Ma, Qing Guo, Qin Zou, Shaoyue Song, Yuewei Lin, Hongkai Yu:
Coarse-to-Fine Task-Driven Inpainting for Geoscience Images. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7170-7182 (2023) - [j22]Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau:
Structure-Informed Shadow Removal Networks. IEEE Trans. Image Process. 32: 5823-5836 (2023) - [j21]Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Fuyuan Zhang, Lei Ma, Jianjun Zhao:
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 32(5): 129:1-129:31 (2023) - [j20]Wanli Xue, Jingze Liu, Siyi Yan, Yuxi Zhou, Tiantian Yuan, Qing Guo:
Alleviating data insufficiency for Chinese sign language recognition. Vis. Intell. 1(1) (2023) - [c45]Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu:
Background-Mixed Augmentation for Weakly Supervised Change Detection. AAAI 2023: 7919-7927 - [c44]Leming Guo, Wanli Xue, Qing Guo, Bo Liu, Kaihua Zhang, Tiantian Yuan, Shengyong Chen:
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition. CVPR 2023: 10771-10780 - [c43]Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Evading DeepFake Detectors via Adversarial Statistical Consistency. CVPR 2023: 12271-12280 - [c42]Rabab Abdelfattah, Qing Guo, Xiaoguang Li, Xiaofeng Wang, Song Wang:
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. ICCV 2023: 1348-1357 - [c41]Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin:
CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion. ICCV 2023: 8840-8849 - [c40]Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang:
Leveraging Inpainting for Single-Image Shadow Removal. ICCV 2023: 13009-13018 - [c39]Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan:
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. ICCV 2023: 22344-22354 - [c38]Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu:
FAIRER: Fairness as Decision Rationale Alignment. ICML 2023: 19471-19489 - [c37]Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu:
Fairness via Group Contribution Matching. IJCAI 2023: 436-445 - [c36]Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. INFOCOM 2023: 1-10 - [c35]Yihao Huang, Liangru Sun, Qing Guo, Felix Juefei-Xu, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu:
ALA: Naturalness-aware Adversarial Lightness Attack. ACM Multimedia 2023: 2418-2426 - [c34]Longtian Wang, Xiaofei Xie, Xiaoning Du, Meng Tian, Qing Guo, Zheng Yang, Chao Shen:
DistXplore: Distribution-Guided Testing for Evaluating and Enhancing Deep Learning Systems. ESEC/SIGSOFT FSE 2023: 68-80 - [i61]Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau:
Structure-Informed Shadow Removal Networks. CoRR abs/2301.03182 (2023) - [i60]Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang:
Leveraging Inpainting for Single-Image Shadow Removal. CoRR abs/2302.05361 (2023) - [i59]Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. CoRR abs/2302.10417 (2023) - [i58]Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Evading DeepFake Detectors via Adversarial Statistical Consistency. CoRR abs/2304.11670 (2023) - [i57]Leming Guo, Wanli Xue, Qing Guo, Yuxi Zhou, Tiantian Yuan, Shengyong Chen:
Conditional Diffusion Feature Refinement for Continuous Sign Language Recognition. CoRR abs/2305.03614 (2023) - [i56]Xiaoguang Li, Qing Guo, Pingping Cai, Wei Feng, Ivor W. Tsang, Song Wang:
Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removal. CoRR abs/2305.10640 (2023) - [i55]Yihao Huang, Qing Guo, Felix Juefei-Xu:
Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization. CoRR abs/2305.10701 (2023) - [i54]Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu:
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches. CoRR abs/2305.10929 (2023) - [i53]Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo:
On the Robustness of Segment Anything. CoRR abs/2305.16220 (2023) - [i52]Jin Ma, Jinlong Li, Qing Guo, Tianyun Zhang, Yuewei Lin, Hongkai Yu:
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection. CoRR abs/2306.12621 (2023) - [i51]Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu:
FAIRER: Fairness as Decision Rationale Alignment. CoRR abs/2306.15299 (2023) - [i50]Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu:
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. CoRR abs/2306.17431 (2023) - [i49]Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin:
CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion. CoRR abs/2307.07938 (2023) - [i48]Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan:
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. CoRR abs/2307.11526 (2023) - [i47]Canyu Zhang, Qing Guo, Xiaoguang Li, Renjie Wan, Hongkai Yu, Ivor W. Tsang, Song Wang:
SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting. CoRR abs/2307.14489 (2023) - [i46]Rabab Abdelfattah, Qing Guo, Xiaoguang Li, Xiaofeng Wang, Song Wang:
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. CoRR abs/2307.16634 (2023) - [i45]Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu:
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout. CoRR abs/2308.01661 (2023) - [i44]Canyu Zhang, Xiaoguang Li, Qing Guo, Song Wang:
SAIR: Learning Semantic-aware Implicit Representation. CoRR abs/2310.09285 (2023) - [i43]Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo:
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. CoRR abs/2310.11890 (2023) - [i42]Xiaojun Jia, Jindong Gu, Yihao Huang, Simeng Qin, Qing Guo, Yang Liu, Xiaochun Cao:
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation. CoRR abs/2312.02207 (2023) - [i41]Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung:
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation. CoRR abs/2312.17505 (2023) - 2022
- [j19]Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, Yang Liu:
Countering Malicious DeepFakes: Survey, Battleground, and Horizon. Int. J. Comput. Vis. 130(7): 1678-1734 (2022) - [j18]Xuhong Ren, Jianlang Chen, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao, Shengyong Chen:
DARTSRepair: Core-failure-set guided DARTS for network robustness to common corruptions. Pattern Recognit. 131: 108864 (2022) - [j17]Zhe Zhang, Xuhong Ren, Wanli Xue, Chengwei Zhang, Qing Guo, Shengyong Chen:
Object-Aware Ghost Identification and Elimination for Dynamic Scene Mosaic. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2025-2034 (2022) - [j16]Lan Fu, Hongkai Yu, Felix Juefei-Xu, Jinlong Li, Qing Guo, Song Wang:
Let There Be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8217-8226 (2022) - [j15]Yihao Huang, Felix Juefei-Xu, Qing Guo, Yang Liu, Geguang Pu:
FakeLocator: Robust Localization of GAN-Based Face Manipulations. IEEE Trans. Inf. Forensics Secur. 17: 2657-2672 (2022) - [j14]Yupeng Cheng, Qing Guo, Felix Juefei-Xu, Shang-Wei Lin, Wei Feng, Weisi Lin, Yang Liu:
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack. IEEE Trans. Multim. 24: 3807-3822 (2022) - [j13]Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu:
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 31(3): 47:1-47:27 (2022) - [j12]Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao:
DeepRepair: Style-Guided Repairing for Deep Neural Networks in the Real-World Operational Environment. IEEE Trans. Reliab. 71(4): 1401-1416 (2022) - [c33]Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang:
MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting. CVPR 2022: 1859-1868 - [c32]Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang:
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection. CVPR 2022: 2140-2149 - [c31]Yu Tian, Chengwei Zhang, Qing Guo, Kangjie Zheng, Wanqing Fang, Xintian Zhao, Shiqi Zhang:
Optimistic Exploration Based on Categorical-DQN for Cooperative Markov Games. DAI 2022: 60-73 - [c30]Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu:
Masked Faces with Faced Masks. ECCV Workshops (1) 2022: 360-377 - [c29]Liming Zhai, Qing Guo, Xiaofei Xie, Lei Ma, Yi Estelle Wang, Yang Liu:
A3GAN: Attribute-Aware Anonymization Networks for Face De-identification. ACM Multimedia 2022: 5303-5313 - [c28]Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li:
Generative Status Estimation and Information Decoupling for Image Rain Removal. NeurIPS 2022 - [i40]Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang:
Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining. CoRR abs/2201.02366 (2022) - [i39]Liangru Sun, Felix Juefei-Xu, Yihao Huang, Qing Guo, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu:
ALA: Adversarial Lightness Attack via Naturalness-aware Regularizations. CoRR abs/2201.06070 (2022) - [i38]Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu:
Masked Faces with Faced Masks. CoRR abs/2201.06427 (2022) - [i37]Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang:
MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting. CoRR abs/2203.06304 (2022) - [i36]Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu:
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. CoRR abs/2203.12915 (2022) - [i35]Ruize Han, Wei Feng, Qing Guo, Qinghua Hu:
Single Object Tracking Research: A Survey. CoRR abs/2204.11410 (2022) - [i34]Rui Huang, Ruofei Wang, Qing Guo, Yuxiang Zhang, Wei Fan:
IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection. CoRR abs/2207.09240 (2022) - [i33]Xuhong Ren, Jianlang Chen, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao, Shengyong Chen:
DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions. CoRR abs/2209.10381 (2022) - [i32]Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu, Qing Guo, Xingyu Li, Lei Ma:
Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement. CoRR abs/2210.05896 (2022) - [i31]Huiming Sun, Jin Ma, Qing Guo, Shaoyue Song, Yuewei Lin, Hongkai Yu:
Coarse-to-fine Task-driven Inpainting for Geoscience Images. CoRR abs/2211.11059 (2022) - [i30]Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu:
Background-Mixed Augmentation for Weakly Supervised Change Detection. CoRR abs/2211.11478 (2022) - 2021
- [j11]Qing Guo, Wei Feng, Ruijun Gao, Yang Liu, Song Wang:
Exploring the Effects of Blur and Deblurring to Visual Object Tracking. IEEE Trans. Image Process. 30: 1812-1824 (2021) - [c27]Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao:
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. AAAI 2021: 1487-1495 - [c26]Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang:
Auto-Exposure Fusion for Single-Image Shadow Removal. CVPR 2021: 10571-10580 - [c25]Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao:
Learning to Adversarially Blur Visual Object Tracking. ICCV 2021: 10819-10828 - [c24]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen,