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Self-Supervised Vessel Enhancement Using Flow-Based Consistencies


Jan 13, 2021
Rohit Jena, Sumedha Singla, Kayhan Batmanghelich


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Explaining the Black-box Smoothly- A Counterfactual Approach


Jan 11, 2021
Sumedha Singla, Brian Pollack, Stephen Wallace, Kayhan Batmanghelich

* Under review for a journal 

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Context Matters: Graph-based Self-supervised Representation Learning for Medical Images


Dec 11, 2020
Li Sun, Ke Yu, Kayhan Batmanghelich

* Accepted to AAAI 2021 

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Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN


Aug 05, 2020
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich

* 10 pages, 9 figures. Under review 

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Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space


Jun 01, 2020
Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich


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Explanation by Progressive Exaggeration


Nov 05, 2019
Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich


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Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement


Oct 14, 2019
Junxiang Chen, Kayhan Batmanghelich


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Twin Auxiliary Classifiers GAN


Jul 30, 2019
Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich


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Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach


Jul 16, 2019
Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao


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Weakly Supervised Disentanglement by Pairwise Similarities


Jun 03, 2019
Junxiang Chen, Kayhan Batmanghelich


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Generative-Discriminative Complementary Learning


Apr 16, 2019
Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich


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Robust Angular Local Descriptor Learning


Jan 26, 2019
Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang

* Accepted by ACCV2018 

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Deep Diffeomorphic Normalizing Flows


Oct 08, 2018
Hadi Salman, Payman Yadollahpour, Tom Fletcher, Kayhan Batmanghelich


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Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping


Sep 16, 2018
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao


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Transfer Learning with Label Noise


Aug 08, 2018
Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao


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Causal Generative Domain Adaptation Networks


Jun 28, 2018
Mingming Gong, Kun Zhang, Biwei Huang, Clark Glymour, Dacheng Tao, Kayhan Batmanghelich

* 12 pages 

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Deep Ordinal Regression Network for Monocular Depth Estimation


Jun 06, 2018
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao

* CVPR 2018 

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Causal Discovery in the Presence of Measurement Error: Identifiability Conditions


Jun 10, 2017
Kun Zhang, Mingming Gong, Joseph Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour

* 15 pages, 5 figures, 1 table 

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Nonparametric Spherical Topic Modeling with Word Embeddings


Apr 01, 2016
Kayhan Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Sam Gershman


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