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Diversity-Aware Meta Visual Prompting


Mar 14, 2023
Qidong Huang, Xiaoyi Dong, Dongdong Chen, Weiming Zhang, Feifei Wang, Gang Hua, Nenghai Yu

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* CVPR2023, code is available at https://github.com/shikiw/DAM-VP 

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Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network


Feb 20, 2023
Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang

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* Accepted by AAAI 2023 

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Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks


Feb 17, 2023
Xu Zheng, Yexin Liu, Yunfan Lu, Tongyan Hua, Tianbo Pan, Weiming Zhang, Dacheng Tao, Lin Wang

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VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum


Jan 09, 2023
Huanyu Bian, Zhilong Jia, Menghan Dou, Yuan Fang, Lei Li, Yiming Zhao, Hanchao Wang, Zhaohui Zhou, Wei Wang, Wenyu Zhu, Ye Li, Yang Yang, Weiming Zhang, Nenghai Yu, Zhaoyun Chen, Guoping Guo

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DeAR: A Deep-learning-based Audio Re-recording Resilient Watermarking


Dec 13, 2022
Chang Liu, Jie Zhang, Han Fang, Zehua Ma, Weiming Zhang, Nenghai Yu

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* Accepted by AAAI2023 

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CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet


Dec 12, 2022
Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Shuyang Gu, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

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* Technical Report, code will be available at https://github.com/LightDXY/FT-CLIP 

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X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion


Dec 07, 2022
Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu

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Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion


Nov 29, 2022
Kui Zhang, Hang Zhou, Jie Zhang, Qidong Huang, Weiming Zhang, Nenghai Yu

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PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition


Sep 16, 2022
Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Kui Zhang, Gang Hua, Nenghai Yu

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