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Saliency Prediction via Multi-Level Features and Deep Supervision for Children with Autism Spectrum Disorder.

, , , , and . ICME Workshops, page 621-624. IEEE, (2019)

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Comparison of Kansei Engineering and AttrakDiff to Evaluate Kitchen Products., , , , and . CHI Extended Abstracts, page 2999-3005. ACM, (2016)Few-shot personalized saliency prediction using meta-learning., , , , , , and . Image Vis. Comput., (2022)Auto-Vocabulary Segmentation for LiDAR Points., , , , and . CoRR, (2024)Atypical Salient Regions Enhancement Network for visual saliency prediction of individuals with Autism Spectrum Disorder., , , , , , , and . Signal Process. Image Commun., (July 2023)A novel recessed-source negative capacitance gate-all-around tunneling field effect transistor for low-power applications., , , , and . Microelectron. J., (2024)Personalized image observation behavior learning in fixation based personalized salient object segmentation., , , , and . Neurocomputing, (2021)Predicting atypical visual saliency for autism spectrum disorder via scale-adaptive inception module and discriminative region enhancement loss., , , , , , , and . Neurocomputing, (2021)SalED: Saliency prediction with a pithy encoder-decoder architecture sensing local and global information., , , and . Image Vis. Comput., (2021)Constrained fixation point based segmentation via deep neural network., , , and . Neurocomputing, (2019)Estimation of Drain-Induced Barrier Lowering Variation Due to Random Dopant Fluctuation Effect in Nanometer MOSFETs by Gamma Distribution., , , , and . CECNet, volume 381 of Frontiers in Artificial Intelligence and Applications, page 215-223. IOS Press, (2023)