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A. Soltoggio, E. Ben-Iwhiwhu, V. Braverman, E. Eaton, B. Epstein, Y. Ge, L. Halperin, J. How, L. Itti, M. A. Jacobs, others, A collective AI via lifelong learning and sharing at the edge, Nature Machine Intelligence, Vol. 6, No. 3, pp. 251--264, Nature Publishing Group UK London, Mar 2024. [2023 impact factor: 18.8] (Cited by 14)
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] (Cited by 6)
Y. Ge, Y. Li, S. Ni, J. Zhao, M. H. Yang, L. Itti, CLR: Channel-wise Lightweight Reprogramming for Continual Learning, In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 18798--18808, 2023. [2023 acceptance rate: 26.8%] (Cited by 13)
Y. Ge, J. Xu, B. N. Zhao, N. Joshi, L. Itti, V. Vineet, Beyond generation: Harnessing text to image models for object detection and segmentation, arXiv preprint arXiv:2309.05956, 2023. [ArXiv Preprint] (Cited by 11)
Y. Ge, J. Ren, A. Gallagher, Y. Wang, M. H. Yang, H. Adam, L. Itti, B. Lakshminarayanan, J. Zhao, Improving Zero-shot Generalization and Robustness of Multi-modal Models, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11093--11101, 2023. [2023 acceptance rate: 25.78%] (Cited by 31)
A. M. Jones, G. Sahin, Z. W. Murdock, Y. Ge, A. Xu, Y. Li, D. Wu, S. Ni, P. H. Huang, K. Lekkala, L. Itti, USC-DCT: A Collection of Diverse Classification Tasks, Data, Vol. 8, No. 10, p. 153, MDPI, Oct 2023. [2022 impact factor: 2.6] (Cited by 1)
Y. Ge, H. X. Yu, C. Zhao, Y. Guo, X. Huang, L. Ren, L. Itti, J. Wu, 3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection, In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'23), Dec 2023. [2023 acceptance rate: 26%] (Cited by 8)
Y. Ge, Y. Li, D. Wu, A. Xu, A. M. Jones, A. S. Rios, I. Fostiropoulos, P. H. Huang, Z. W. Murdock, G. Sahin, S. Ni, K. Lekkala, S. A. Sontakke, L. Itti, Lightweight Learner for Shared Knowledge Lifelong Learning, Transactions on Machine Learning Research, pp. 1--26, 2023. (Cited by 10)
Y. Ge, J. Ren, J. Zhao, K. Chen, A. Gallagher, L. Itti, B. Lakshminarayanan, Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models, arXiv preprint arXiv:2305.17207, 2023. [ArXiv Preprint] (Cited by 1)
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 4)
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 27)
Y. Ge, H. Behl, J. Xu, S. Gunasekar, N. Joshi, Y. Song, X. Wang, L. Itti, V. Vineet, Neural-Sim: Learning to Generate Training Data with NeRF, In: European Conference on Computer Vision, pp. 477--493, Oct 2022. [2022 acceptance rate: 28%] (Cited by 32)
Y. Ge, J. Ren, Y. Wang, A. Gallagher, M. H. Yang, L. Itti, H. Adam, B. Lakshminarayanan, J. Zhao, Improving Zero-shot Generalization and Robustness of Multi-modal Models, arXiv preprint arXiv:2212.01758, 2022. [ArXiv Preprint] (Cited by 31)
Y. Ge, S. O. Arik, J. Yoon, A. Xu, L. Itti, T. Pfister, Invariant Structure Learning for Better Generalization and Causal Explainability, arXiv preprint arXiv:2206.06469, 2022. [ArXiv Preprint] (Cited by 3)
Y. Ge, J. Xu, B. N. Zhao, L. Itti, V. Vineet, Dall-e for detection: Language-driven context image synthesis for object detection, arXiv preprint arXiv:2206.09592, 2022. [ArXiv Preprint] (Cited by 44)
Y. Ge, J. Xu, B. N. Zhao, L. Itti, V. Vineet, EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation, arXiv preprint arXiv:2212.07629, 2022. [ArXiv Preprint] (Cited by 3)
Y. Ge, S. Abu-El-Haija, G. Xin, L. Itti, Zero-shot Synthesis with Group-Supervised Learning, In: International Conference on Learning Representations (ICLR'21), pp. 1-16, 2021. [2021 acceptance rate: 28.7%] (Cited by 48)
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 57)
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 4)
Y. Ge, Y. Pang, L. Li, L. Itti, Graph Autoencoder for Graph Compression and Representation Learning, In: Neural Compression: From Information Theory to Applications--Workshop of ICLR 2021, pp. 1-9, 2021. (Cited by 8)
S. Wen, A. Rios, Y. Ge, L. Itti, Beneficial Perturbation Network for designing general adaptive artificial intelligence systems, IEEE Transactions on Neural Networks and Learning Systems, pp. 1-14, IEEE, 2021. [2020 impact factor: 8.793] (Cited by 27)
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 9)
Y. Ge, S. Abu-El-Haija, G. Xin, L. Itti, Zero-shot Synthesis with Group-Supervised Learning, arXiv preprint arXiv:2009.06586, 2020. [ArXiv Preprint] (Cited by 48)
S. Wen, A. Rios, Y. Ge, L. Itti, Beneficial Perturbation Network for designing general adaptive artificial intelligence systems, arXiv preprint arXiv:2009.13954, 2020. [ArXiv Preprint] (Cited by 27)
Y. Ge, J. Zhao, L. Itti, Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition, In: European Conference on Computer Vision (ECCV'20), Springer, pp. 138--155, 2020. [2020 acceptance rate: 27.1%] (Cited by 9)
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