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Kayhan Batmanghelich

Showing results (11-20 of 47) with videos related to

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Proceedings of the Conference. Association for Computational Linguistics. Meeting|January 15, 2019
Nonparametric Spherical Topic Modeling with Word EmbeddingsKayhan Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, et al.
Medical Image Analysis|December 26, 2022
Explaining the black-box smoothly-A counterfactual approachSumedha Singla, Motahhare Eslami, Brian Pollack, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 2, 2024
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-raysKe Yu, Shantanu Ghosh, Zhexiong Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 17, 2017
Transformations Based on Continuous Piecewise-Affine Velocity FieldsOren Freifeld, Soren Hauberg, Kayhan Batmanghelich, et al.
IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision|September 19, 2023
Augmentation by Counterfactual Explanation - Fixing an Overconfident ClassifierSumedha Singla, Nihal Murali, Forough Arabshahi, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|February 25, 2020
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence AssumptionXiyu Yu, Tongliang Liu, Mingming Gong, et al.
Advances in Neural Information Processing Systems|February 28, 2020
Twin Auxiliary Classifiers GANMingming Gong, Yanwu Xu, Chunyuan Li, et al.
Findings of ACL. NAACL|January 5, 2026
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report GenerationChenyu Wang, Weichao Zhou, Shantanu Ghosh, et al.
Frontiers in Neuroscience|May 16, 2020
3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding BoxesYanwu Xu, Mingming Gong, Junxiang Chen, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|July 6, 2019
Deep Ordinal Regression Network for Monocular Depth EstimationHuan Fu, Mingming Gong, Chaohui Wang, et al.
Pageof 5

Showing results (11-20 of 47) with videos related to

Sort By:
Pageof 5
Proceedings of the Conference. Association for Computational Linguistics. Meeting|January 15, 2019
Nonparametric Spherical Topic Modeling with Word EmbeddingsKayhan Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, et al.
Medical Image Analysis|December 26, 2022
Explaining the black-box smoothly-A counterfactual approachSumedha Singla, Motahhare Eslami, Brian Pollack, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 2, 2024
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-raysKe Yu, Shantanu Ghosh, Zhexiong Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 17, 2017
Transformations Based on Continuous Piecewise-Affine Velocity FieldsOren Freifeld, Soren Hauberg, Kayhan Batmanghelich, et al.
IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision|September 19, 2023
Augmentation by Counterfactual Explanation - Fixing an Overconfident ClassifierSumedha Singla, Nihal Murali, Forough Arabshahi, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|February 25, 2020
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence AssumptionXiyu Yu, Tongliang Liu, Mingming Gong, et al.
Advances in Neural Information Processing Systems|February 28, 2020
Twin Auxiliary Classifiers GANMingming Gong, Yanwu Xu, Chunyuan Li, et al.
Findings of ACL. NAACL|January 5, 2026
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report GenerationChenyu Wang, Weichao Zhou, Shantanu Ghosh, et al.
Frontiers in Neuroscience|May 16, 2020
3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding BoxesYanwu Xu, Mingming Gong, Junxiang Chen, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|July 6, 2019
Deep Ordinal Regression Network for Monocular Depth EstimationHuan Fu, Mingming Gong, Chaohui Wang, et al.
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