Bibtex for phd dissertation

Bibtex for phd dissertation

Oct 16,  · @universityofky posted on their Instagram profile: “Like her sticker says, “Find your people.” College is a great place to do just that. Tag “your ” PhD Dissertation, The University of Tokyo, [Paper] Guided Exploration of Physically Valid Shapes for Furniture Design. Nobuyuki Umetani, Takeo Igarashi, Niloy J. Mitra ACM Transaction on Gracphis (SIGGRAPH ) [Project Page] [Paper] [YouTube] Real-Time Example-Based Elastic Deformation Sep 03,  · Corresponding Author: David O. Meltzer MD, PhD, Department of Medicine, The University of Chicago, S Maryland Ave, MC , Chicago, IL (dmeltzer@blogger.com). Author Contributions: Drs Best and Zhang had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy

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I am an Assistant Professor of Computer Science and Engineering at University of California, Santa Cruz. My research interest lies at the intersection of computer vision and machine learning, with the goal of building human-level computer vision systems.

I am particularly interested in securing model performance under the worst-case scenario and endowing models with interpretability. I received my Ph. degree bibtex for phd dissertation Johns Hopkins Universityadvised by Bloomberg Distinguished Professor Alan Yuille.

I have worked as a research intern with Kaiming He and Laurens van der Bibtex for phd dissertation at the Facebook AI Research FAIR ; Quoc Le at the Google Brain. I receive the Facebook Fellowship. If you are interested, please send me an email with your CV, transcript, and publications if any.

Due to the large amount of emails I receive, I may not be able to respond to each one individually. Recent News [ July ] I will be giving a talk in ICML Workshop on A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning. Events [ Call For Paper ] I am serving as the Guest Editor of Frontiers in Big Data: Trustworthy Machine Learning.

The submission deadline is Aug 31, Please submit your paper here. The video recording is here. Current Students Xianhang Li Ph. ofUC Santa Cruz Chancellor's Fellowship Recipient Zichao Li Ph. of Junbo Li Ph. of Zeyu Wang Ph. of Yingwei Li affiliated Ph. student from Johns Hopkins University Jieru Mei affiliated Ph. student from Johns Hopkins University Yixiao Zhang affiliated Ph. student from Johns Hopkins University Yutong Bai affiliated Ph.

student from Johns Hopkins University Sucheng Ren visiting graduate student from South China University of Technology Runsen Xu visiting undergraduate student from Zhejiang University Xiangyu Peng visiting undergraduate student from Nanjing University Past Students Yucheng Han visiting undergraduate student from Tsinghua University, now Ph.

at Nanyang Technological University Publications Towards Robust Representation Learning and Beyond Cihang Xie PhD Dissertation. Simulated Adversarial Testing of Face Recognition Models Nataniel RuizAdam KortylewskiWeichao QiuCihang XieSarah Adel BargalAlan YuilleStan Sclaroff Tech reportarXiv. Smooth Adversarial Training Cihang XieMingxing TanBoqing GongAlan YuilleQuoc Le Tech reportarXiv State-of-the-art method for defending against adversarial attacks on ImageNet.

Batch Normalization with Enhanced Linear Transformation Yuhui XuLingxi XieCihang XieJieru MeiSiyuan QiaoWei ShenHongkai Xiongbibtex for phd dissertation, Alan Yuille Tech reportarXiv. Robust and Accurate Object Detection via Adversarial Learning Xiangning ChenCihang XieMingxing TanLi ZhangCho-Jui HsiehBoqing Gong CVPR Shape-Texture Debiased Neural Network Training Yingwei LiQihang YuMingxing TanJieru MeiPeng TangWei ShenAlan YuilleCihang Xie ICLR PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning Bibtex for phd dissertation YangAdam KortylewskiCihang XieYinzhi CaoAlan Yuille ECCV Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses Yingwei LiSong BaiCihang XieZhenyu LiaoXiaohui ShenAlan Yuille ECCV Adversarial Examples Improve Image Recognition Cihang XieMingxing TanBoqing GongJiang WangAlan YuilleQuoc Le CVPRState-of-the-art ImageNet classifier without extra training data.

Neural Architecture Search for Lightweight Non-Local Networks Yingwei Li bibtex for phd dissertation, Xiaojie JinJieru MeiXiaochen LianLinjie YangCihang XieQihang YuYuyin ZhouSong BaiAlan Yuille CVPR Universal Physical Camouflage Attacks on Object Detectors Lifeng HuangChengying GaoYuyin ZhouCihang Xiebibtex for phd dissertation, Alan YuilleChangqing ZouNing Liu CVPR Intriguing Properties of Adversarial Training at Scale Cihang XieAlan Yuille ICLR Learning Transferable Adversarial Examples via Ghost Networks Yingwei Libibtex for phd dissertation, Song BaiYuyin ZhouCihang XieZhishuai ZhangAlan Yuille AAAI Feature Denoising for Improving Adversarial Robustness Cihang XieYuxin WuLaurens van der MaatenAlan YuilleKaiming He CVPRThe first ImageNet classifier that can successfully defend against strong white-box adversarial attacks.

Improving Transferability of Adversarial Examples with Input Diversity Cihang XieZhishuai ZhangYuyin ZhouSong BaiJianyu WangZhou RenAlan Yuille CVPR Mitigating Adversarial Effects Through Randomization Cihang XieJianyu WangZhishuai ZhangZhou RenAlan Yuille ICLRThe runner-up solution in the adversarial defense track of NIPS Adversarial Attacks and Defenses Competition, bibtex for phd dissertation. Single-Shot Object Detection with Enriched Semantics Zhishuai ZhangSiyuan QiaoCihang Xiebibtex for phd dissertation, Wei ShenBo WangAlan Yuille CVPR DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion Zhishuai ZhangCihang XieJianyu WangLingxi XieAlan Yuille CVPR Visual Concepts and Compositional Voting Jianyu WangZhishuai ZhangCihang XieYuyin ZhouVittal PremachandranJun ZhuLingxi XieAlan Yuille Annals of Mathematical Sciences and Applications Adversarial Bibtex for phd dissertation for Semantic Segmentation and Object Detection Cihang XieJianyu WangZhishuai ZhangYuyin ZhouLingxi XieAlan Yuille ICCV Detecting Semantic Parts on Partially Occluded Objects Jianyu WangCihang XieZhishuai ZhangJun ZhuLingxi XieAlan Yuille BMVC CleverHans Adversarial Examples Library.

Adversarial Attacks on Face Recognition. Cihang Xie I am an Assistant Professor of Computer Science and Bibtex for phd dissertation at University of California, Santa Cruz. Recent News. Current Students. Past Students. Open Sources. Stolen from Jon Barron.

The Elements of the Doctoral Dissertation Process

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Beware, this above are improvisations (especially the BibTeX entry), not standards. Even for more established and citable things there are not set standards, see e.g.: How to cite a sequence from The On-Line Encyclopedia of Integer Sequences (OEIS)? - MathOverflow; See also: How to cite sourcecode from an svn repository - blogger.com PhD Dissertation, The University of Tokyo, [Paper] Guided Exploration of Physically Valid Shapes for Furniture Design. Nobuyuki Umetani, Takeo Igarashi, Niloy J. Mitra ACM Transaction on Gracphis (SIGGRAPH ) [Project Page] [Paper] [YouTube] Real-Time Example-Based Elastic Deformation Sep 03,  · Corresponding Author: David O. Meltzer MD, PhD, Department of Medicine, The University of Chicago, S Maryland Ave, MC , Chicago, IL (dmeltzer@blogger.com). Author Contributions: Drs Best and Zhang had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy