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]

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), 2023. [2023 acceptance rate: 26%] (Cited by 5)

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 1)

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 8)

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 1)

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 8)

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 7)

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 2)

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), Dec 2023. [2023 acceptance rate: 26%]

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 3)

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 7)

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 7)

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 7)

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 2)

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 2)

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)

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 26)