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Human and Large Language Model Intent Detection in Image-Based Self-Expression of People with Intellectual Disability.

, , , , , and . CHIIR, page 199-208. ACM, (2024)

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Class Anchor Clustering: A Loss for Distance-based Open Set Recognition., , , and . WACV, page 3569-3577. IEEE, (2021)Uncertainty-Aware Lidar Place Recognition in Novel Environments., , , , and . IROS, page 3366-3373. (2023)Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields., , and . ICRA, page 9370-9376. IEEE, (2023)Benchmarking Sampling-based Probabilistic Object Detectors., , , , and . CVPR Workshops, page 42-45. Computer Vision Foundation / IEEE, (2019)Probabilistic Object Detection with an Ensemble of Experts.. ECCV Workshops (6), volume 12540 of Lecture Notes in Computer Science, page 46-55. Springer, (2020)SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection., , , , and . ICCV, page 23508-23519. IEEE, (2023)Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields., , and . CoRR, (2022)Probabilistic Object Detection: Definition and Evaluation., , , , , , , , and . WACV, page 1020-1029. IEEE, (2020)Dropout Sampling for Robust Object Detection in Open-Set Conditions., , , and . ICRA, page 1-7. IEEE, (2018)Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 22702-22757. PMLR, (2023)