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, pp. 588--604, Oct 2022. [2022 acceptance rate: 28%]

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%]

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)

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]

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]

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]

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%]

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]

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]

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]

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]

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

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]

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]

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%]