Publications for Year 2022

A. Rios, N. Ahuja, I. Ndiour, U. Genc, L. Itti, O. Tickoo, incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection, In: European Conference on Computer Vision (ECCV), pp. 588--604, Oct 2022. [2022 acceptance rate: 28%] (Cited by 5)

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. 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 15)

S. Wen, A. S. Rios, K. Lekkala, L. Itti, What can we learn from misclassified ImageNet images?, arXiv preprint arXiv:2201.08098, 2022. [ArXiv Preprint] (Cited by 7)

S. A. Sontakke, B. Ramanan, L. Itti, T. Woo, Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps, arXiv preprint arXiv:2202.11226, 2022. [ArXiv Preprint] (Cited by 1)

M. Habibi, W. H. Oertel, B. J. White, D. C. Brien, B. C. Coe, H. C. Riek, J. Perkins, R. Yep, L. Itti, L. Timmermann, others, Eye tracking identifies biomarkers in $alpha$-synucleinopathies versus progressive supranuclear palsy, Journal of Neurology, pp. 1--19, Springer, Sep 2022. [2021 impact factor: 4.849] (Cited by 8)

S. Roychowdhury, S. Sontakke, L. Itti, M. Sarkar, M. Aggarwal, P. Badjatiya, N. Puri, B. Krishnamurthy, SHERLock: Self-Supervised Hierarchical Event Representation Learning, In: 2022 26th International Conference on Pattern Recognition (ICPR), IEEE, pp. 2672--2678, Aug 2022. [2022 acceptance rate: 52%] (Cited by 3)

J. Oster, J. Huang, B. J. White, R. Radach, L. Itti, D. P. Munoz, C. A. Wang, Pupillary responses to differences in luminance, color and set size, Experimental Brain Research, pp. 1--13, Springer, Jun 2022. [2021 impact factor: 2.193] (Cited by 3)

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 8)

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 1)

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)

I. Fostiropoulos, L. Itti, Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network, arXiv preprint arXiv:2211.14424, 2022. [ArXiv Preprint] (Cited by 1)

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 26)

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 1)

S. A. Sontakke, S. Iota, Z. Hu, A. Mehrjou, L. Itti, B. Scholkopf, GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL, In: The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 1-8, Mar 2022. [2022 acceptance rate: 29%] (Cited by 2)