Publications for Year 2023

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)

I. Fostiropoulos, J. Zhu, L. Itti, Batch Model Consolidation: A Multi-Task Model Consolidation Framework, In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3664--3676, 2023. [2023 acceptance rate: 25.78%] (Cited by 4)

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)

A. M. Jones, L. Itti, B. R. Sheth, Electrocardiogram sleep staging on par with expert polysomnography, medRxiv, pp. 2023--10, Cold Spring Harbor Laboratory Press, 2023. [ArXiv Preprint] (Cited by 1)

S. A. Sontakke, J. Zhang, S. Arnold, K. Pertsch, E. Biyik, D. Sadigh, C. Finn, L. Itti, RoboCLIP: One Demonstration is Enough to Learn Robot Policies, In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'23), Vol. 37, Dec 2023. [2023 acceptance rate: 26%] (Cited by 52)

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)

C. Liu, K. Lekkala, L. Itti, World Model Based Sim2Real Transfer for Visual Navigation, arXiv preprint arXiv:2310.18847, 2023. [ArXiv Preprint] (Cited by 1)

K. Lekkala, H. Bao, S. Sontakke, L. Itti, Value Explicit Pretraining for Goal-Based Transfer Learning, arXiv preprint arXiv:2312.12339, 2023. [ArXiv Preprint] (Cited by 9)

I. Fostiropoulos, B. Brown, L. Itti, Reproducibility Requires Consolidated Artifacts, arXiv preprint arXiv:2305.12571, 2023. [ArXiv Preprint] (Cited by 1)

I. Fostiropoulos, L. Itti, ABLATOR: Robust Horizontal-Scaling of Machine Learning Ablation Experiments, In: AutoML Conference 2023 (ABCD Track), 2023. (Cited by 1)

I. Fostiropoulos, B. N. Brown, L. Itti, Trustworthy model evaluation on a budget, In: ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models, 2023. (Cited by 3)

I. Fostiropoulos, L. Itti, Probing Reasoning of Language Models with Inductive In-Context Learning, In: International Joint Conference on Artificial Intelligence 2023 Workshop on Knowledge-Based Compositional Generalization, 2023. (Cited by 3)

G. Sahin, L. Itti, HOOT: Heavy Occlusions in Object Tracking Benchmark, In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4830--4839, Jan 2023. [2023 acceptance rate: 35%] (Cited by 3)

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)

S. Wen, A. Yin, T. Furlanello, M. Perich, L. Miller, L. Itti, Rapid adaptation of brain-computer interfaces to new neuronal ensembles or participants via generative modelling, Nature Biomedical Engineering, Vol. 7, No. 4, pp. 546--558, Nature Publishing Group, 2023. [2021 impact factor: 25.671] (Cited by 38)