Yuille, Alan

Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

Qiao, S., Wang, H., Liu, C., Shen, W., & Yuille, A. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 126

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion

Kortylewski, A., Liu, Q., Wang, A., Sun, Y., & Yuille, A. (2021) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 98

Deep Nets: What have They Ever Done for Vision?

Yuille, A. L., & Liu, C. (2021) · International Journal of Computer Vision

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 98

Deep Differentiable Random Forests for Age Estimation

Shen, W., Guo, Y., Wang, Y., Zhao, K., Wang, B., & Yuille, A. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisAdvanced Neural Network Applications

Cited by 91

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

Xie, L., Yu, Q., Zhou, Y., Wang, Y., Fishman, E. K., & Yuille, A. L. (2020) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 80

Towards Unified Object Detection and Semantic Segmentation

Dong, J., Chen, Q., Yan, S., & Yuille, A. (2014) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 70

CT Radiomics–Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma

Park, S., Sham, J. G., Kawamoto, S., Blair, A. B., Rozich, N., Fouladi, D. F., Shayesteh, S., Hruban, R. H., He, J., Wolfgang, C. L., et al. (2021) · American Journal of Roentgenology

Radiomics and Machine Learning in Medical ImagingPancreatic and Hepatic Oncology Research

Cited by 42

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond

Qiao, S., Shen, W., Qiu, W., Liu, C., & Yuille, A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 41

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Wang, Y., Tang, P., Zhou, Y., Shen, W., Fishman, E. K., & Yuille, A. L. (2021) · IEEE Transactions on Medical Imaging

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 34

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Chao, C.-H., Zhu, Z., Guo, D., Yan, K., Ho, T.-Y., Cai, J., Harrison, A. P., Ye, X., Xiao, J., Yuille, A., et al. (2020) · Lecture Notes in Computer Science

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 29