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B. Nlong Zhao, Y. Xiao, J. Xu, X. Jiang, Y. Yang, D. Li, L. Itti, V. Vineet, Y. Ge, DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models, arXiv e-prints, pp. arXiv--2312, 2023. [ArXiv Preprint]
Y. Ge, Z. Xu, Y. Xiao, G. Xin, Y. Pang, L. Itti, Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4761--4769, Jan 2023. [2023 acceptance rate: 35%] (Cited by 2)
Y. Ge, Y. Xiao, Z. Xu, X. Wang, L. Itti, Contributions of Shape, Texture, and Color in Visual Recognition, In: European Conference on Computer Vision, pp. 369--386, Oct 2022. [2022 acceptance rate: 28%] (Cited by 7)
Y. Xu, Z. Zhao, Y. Xiao, T. Yu, H. Mulaosmanovic, D. Kleimaier, S. Duenkel, S. Beyer, X. Gong, R. Joshi, others, Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines, arXiv preprint arXiv:2212.00089, 2022. [ArXiv Preprint] (Cited by 1)
Y. Ge, Y. Xiao, Z. Xu, M. Zheng, S. Karanam, T. Chen, L. Itti, Z. Wu, A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2195--2204, 2021. [2021 acceptance rate: 23.7%] (Cited by 38)
Y. Ge, Z. Xu, Y. Xiao, G. Xin, Y. Pang, L. Itti, Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization, arXiv preprint arXiv:2112.03163, 2021. [ArXiv Preprint] (Cited by 26)
Y. Ge, G. Xin, Z. Xu, Y. Xiao, Y. Pang, H. Yining, L. Itti, Generative Auto-Encoder: Controllable Synthesis with Disentangled Exploration, 2020. [ArXiv Preprint] (Cited by 26)
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