Publications for author Y. Ge (excluding plenary and invited talks)


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Click to download BibTeX data 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, pp. 4761--4769, Jan 2023. [2023 acceptance rate: 35%]

Click to download BibTeX data 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%]

Click to download BibTeX data 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 1)

Click to download BibTeX data 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]

Click to download BibTeX data Y. Ge, S. {. 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]

Click to download BibTeX data 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]

Click to download BibTeX data 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]

Click to download BibTeX data 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%]

Click to download BibTeX data 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%]

Click to download BibTeX data 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]

Click to download BibTeX data 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.

Click to download BibTeX data 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]

Click to download BibTeX data 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]

Click to download BibTeX data 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 13)

Click to download BibTeX data 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]

Click to download BibTeX data Y. Ge, J. Zhao, L. Itti, Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition, In: European Conference on Computer Vision (ECCV'20, 2020.

 

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