| DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation A Zeng, X Ju, L Yang, R Gao, X Zhu, B Dai, Q Xu European Conference on Computer Vision (ECCV), 2022 | 39 | 2022 |
| Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss Y Chen, H Li, R Gao, D Zhao IEEE Transactions on Neural Networks and Learning Systems 33 (2), 762-773, 2020 | 36 | 2020 |
| Modulenet: Knowledge-inherited neural architecture search Y Chen*, R Gao*, F Liu, D Zhao IEEE Transactions on Cybernetics 52 (11), 11661-11671, 2021 | 30 | 2021 |
| Magicdrive: Street view generation with diverse 3d geometry control R Gao*, K Chen*, E Xie, L Hong, Z Li, DY Yeung, Q Xu International Conference on Learning Representations (ICLR), 2024 | 21 | 2024 |
| What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction Y Yang, R Gao, Y Li, Q Lai, Q Xu Network and Distributed System Security Synposium (NDSS), 2022 | 12 | 2022 |
| T-wavenet: A tree-structured wavelet neural network for time series signal analysis M Liu, A Zeng, Q LAI, R Gao, M Li, J Qin, Q Xu International Conference on Learning Representations (ICLR), 2021 | 12* | 2021 |
| Out-of-Distribution Detection with Semantic Mismatch under Masking Y Yang, R Gao, Q Xu European Conference on Computer Vision (ECCV), 2022 | 11 | 2022 |
| Relational Graph Neural Network Design via Progressive Neural Architecture Search A Zeng, M Liu, Z Liu, R Gao, J Qin, Q Xu arXiv preprint arXiv:2105.14490, 2021 | 6* | 2021 |
| DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models R Gao, C Zhao, L Hong, Q Xu IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 5 | 2023 |
| MMA-Diffusion: MultiModal Attack on Diffusion Models Y Yang, R Gao, X Wang, N Xu, Q Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception Y Wang*, R Gao*, K Chen*, K Zhou, Y Cai, L Hong, Z Li, L Jiang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| PriPro: Towards Effective Privacy Protection on Edge-Cloud System running DNN Inference R Gao, H Yang, S Huang, M Dun, M Li, Z Luan, Z Luan, D Qian IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021 | 2 | 2021 |
| Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models R Gao, M Dun, H Yang, Z Luan, D Qian arXiv preprint arXiv:2001.00493, 2019 | 2 | 2019 |
| MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis Y Yang, R Gao, Y Li, Q Lai, Q Xu arXiv preprint arXiv:2104.10076, 2021 | 1 | 2021 |
| Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases Y Li, W Zhang, K Chen, Y Liu, P Li, R Gao, L Hong, M Tian, X Zhao, Z Li, ... arXiv preprint arXiv:2404.10595, 2024 | | 2024 |
| GuardT2I: Defending Text-to-Image Models from Adversarial Prompts Y Yang, R Gao, X Yang, J Zhong, Q Xu arXiv preprint arXiv:2403.01446, 2024 | | 2024 |
| Non-Cross Diffusion for Semantic Consistency Z Zheng*, R Gao*, Q Xu arXiv preprint arXiv:2312.00820, 2023 | | 2023 |
Qiang XuProfessor, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
