Zhaoqing Wang (Derrick)

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Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AIVerified email at sydney.edu.au
Mingming GongUniversity of Melbourne & Mohamed bin Zayed University of Artificial IntelligenceVerified email at unimelb.edu.au
Yandong GuoChief Scientist @ OPPO Research InstituteVerified email at oppo.com
Qiang LiSenseTimeVerified email at comp.polyu.edu.hk
Yu LuUniversity of Technology SydneyVerified email at student.uts.edu.au
jiaming liuPHD of Peking UniversityVerified email at bupt.edu.cn
Yingbin BaiThe Australian National UniversityVerified email at anu.edu.au
Xiaobo XiaThe University of SydneyVerified email at uni.sydney.edu.au
Xiaoqi LiPeking UniversityVerified email at columbia.edu
Ziye ChenSchool of Mathematics and Statistics, The University of MelbourneVerified email at student.unimelb.edu.au

Zhaoqing Wang (Derrick)

Ph.D., Sydney AI Centre, University of Sydney

Verified email at uni.sydney.edu.au - Homepage

Vision-Language Model Dense Prediction


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Cris: Clip-driven referring image segmentation Z Wang, Y Lu, Q Li, X Tao, Y Guo, M Gong, T Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	295	2022
Exploring set similarity for dense self-supervised representation learning Z Wang, Q Li, G Zhang, P Wan, W Zheng, N Wang, M Gong, T Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	41	2022
Overfitting the data: Compact neural video delivery via content-aware feature modulation J Liu, M Lu, K Chen, X Li, S Wang, Z Wang, E Wu, Y Chen, C Zhang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	28	2021
Ideal: Influence-driven selective annotations empower in-context learners in large language models S Zhang, X Xia, Z Wang, LH Chen, J Liu, Q Wu, T Liu ICLR 2024, 2023	16	2023
Bev-san: Accurate bev 3d object detection via slice attention networks X Chi, J Liu, M Lu, R Zhang, Z Wang, Y Guo, S Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	15	2023
RSA: reducing semantic shift from aggressive augmentations for self-supervised learning Y Bai, E Yang, Z Wang, Y Du, B Han, C Deng, D Wang, T Liu Advances in Neural Information Processing Systems 35, 21128-21141, 2022	14*	2022
Mosaic representation learning for self-supervised visual pre-training Z Wang, Z Chen, Y Li, Y Guo, J Yu, M Gong, T Liu The Eleventh International Conference on Learning Representations, 2023	10	2023
Vecnet: A spectral and multi-scale spatial fusion deep network for pixel-level cloud type classification in himawari-8 imagery Z Wang, X Kong, Z Cui, M Wu, C Zhang, MM Gong, T Liu 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4083 …, 2021	5	2021
Open-vocabulary segmentation with unpaired mask-text supervision Z Wang, X Xia, Z Chen, X He, Y Guo, M Gong, T Liu arXiv preprint arXiv:2402.08960, 2024	4	2024
Pointshift: Point-Wise Shift MLP for Pixel-Level Cloud Type Classification in Meteorological Satellite Imagery Y Huang, Z Wang, X Jiang, M Wu, C Zhang, J Guo IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022	3	2022

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