Cihang Xie

发表

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Ian J. Goodfellow, Jonas Rauber, Nicolas Papernot, 2016 .

Adversarial Examples for Semantic Segmentation and Object Detection

Alan L. Yuille, Yuyin Zhou, Zhishuai Zhang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Fast AdvProp

Cihang Xie, A. Yuille, Yingwei Li, 2022, ICLR.

Shape-Texture Debiased Neural Network Training pdf

Yingwei Li, Qihang Yu, Alan Yuille, 2020, ICLR.

Smooth Adversarial Training

Quoc V. Le, Cihang Xie, Mingxing Tan, 2020, ArXiv.

Mitigating adversarial effects through randomization pdf

Alan L. Yuille, Zhishuai Zhang, Jianyu Wang, 2017, ICLR.

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

Cihang Xie, Qinghua Tao, Zhehao Huang, 2022, ArXiv.

A Simple Data Mixing Prior for Improving Self-Supervised Learning

Cihang Xie, A. Yuille, Yuyin Zhou, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In Defense of Image Pre-Training for Spatiotemporal Recognition

Cihang Xie, A. Yuille, Yuyin Zhou, 2022, ArXiv.

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Ian J. Goodfellow, Tom B. Brown, Jonas Rauber, 2016, 1610.00768.

Simulated Adversarial Testing of Face Recognition Models

Sarah Adel Bargal, Cihang Xie, A. Yuille, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bag of Tricks for FGSM Adversarial Training

Cihang Xie, Yuyin Zhou, Li Liu, 2022, ArXiv.

Intriguing Properties of Adversarial Training at Scale

Cihang Xie, A. Yuille, 2019, ICLR.

Masked Autoencoders Enable Efficient Knowledge Distillers

Cihang Xie, A. Yuille, Yuyin Zhou, 2022, ArXiv.

Smooth Adversarial Training

Quoc V. Le, Cihang Xie, Mingxing Tan, 2020, ArXiv.

Masked Autoencoders Enable Efficient Knowledge Distillers

Cihang Xie, A. Yuille, Yuyin Zhou, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Can CNNs Be More Robust Than Transformers?

Cihang Xie, Yuyin Zhou, Yutong Bai, 2022, ArXiv.

In Defense of Image Pre-Training for Spatiotemporal Recognition

Cihang Xie, A. Yuille, Yuyin Zhou, 2022, ECCV.

ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers

Cihang Xie, Huan Zhang, Junbo Li, 2022, ECCV.

SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training

Cihang Xie, A. Yuille, Huiyu Wang, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning?

Benjamin Van Durme, Cihang Xie, U. California, 2022, ArXiv.

Neural Architecture Search for Lightweight Non-Local Networks

Yingwei Li, Qihang Yu, Yuyin Zhou, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Feature Denoising for Improving Adversarial Robustness

Alan L. Yuille, Kaiming He, Laurens van der Maaten, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Examples Improve Image Recognition

Quoc V. Le, Cihang Xie, Mingxing Tan, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses pdf

Song Bai, Yingwei Li, Alan L. Yuille, 2019, ECCV.

iBOT: Image BERT Pre-Training with Online Tokenizer pdf

Tao Kong, Jinghao Zhou, Alan Yuille, 2021, ArXiv.

Are Transformers More Robust Than CNNs? pdf

Alan Yuille, Jieru Mei, Cihang Xie, 2021, NeurIPS.

Diffusion Models as Masked Autoencoders

Cihang Xie, A. Yuille, Haoqi Fan, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Intriguing properties of adversarial training pdf

Alan Yuille, Cihang Xie, Cihang Xie, 2019, ICLR.

Image BERT Pre-training with Online Tokenizer

Cihang Xie, A. Yuille, Wei Shen, 2022, ICLR.

Can CNNs Be More Robust Than Transformers?

Cihang Xie, Yuyin Zhou, Yutong Bai, 2022, ICLR.

PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning

Cihang Xie, A. Yuille, Yinzhi Cao, 2020, ECCV.

Improving Transferability of Adversarial Examples With Input Diversity

Alan L. Yuille, Yuyin Zhou, Zhishuai Zhang, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning

Cihang Xie, Xin Eric Wang, Kaiwen Zhou, 2022, ArXiv.

Navigation as Attackers Wish? Towards Building Byzantine-Robust Embodied Agents under Federated Learning

Cihang Xie, Xin Eric Wang, Yunchao Zhang, 2022, 2211.14769.

On the Adversarial Robustness of Camera-based 3D Object Detection

Cihang Xie, Zeyu Wang, Zichao Li, 2023, ArXiv.

Unsupervised learning of object semantic parts from internal states of CNNs by population encoding

Alan Yuille, Zhishuai Zhang, Jianyu Wang, 2015, 1511.06855.

Adversarial Attacks and Defences Competition pdf

Yao Zhao, Takuya Akiba, Motoki Abe, 2018, ArXiv.

Robust and Accurate Object Detection via Adversarial Learning

Cho-Jui Hsieh, Boqing Gong, Mingxing Tan, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Universal Physical Camouflage Attacks on Object Detectors

Cihang Xie, A. Yuille, Yuyin Zhou, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Single-Shot Object Detection with Enriched Semantics

Bo Wang, Alan L. Yuille, Siyuan Qiao, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion

Alan L. Yuille, Zhishuai Zhang, Jianyu Wang, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks

Cihang Xie, X. Huang, Sizhe Chen, 2022, ArXiv.

An Inverse Scaling Law for CLIP Training

Cihang Xie, Xianhang Li, Zeyu Wang, 2023, ArXiv.

Visual Concepts and Compositional Voting pdf

Jun Zhu, Alan L. Yuille, Yuyin Zhou, 2017, ArXiv.

Benchmarking Robustness in Neural Radiance Fields

Cihang Xie, A. Yuille, Angtian Wang, 2023, ArXiv.

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

Cihang Xie, Qinghua Tao, Zhehao Huang, 2022, NeurIPS.

Unleashing the Power of Visual Prompting At the Pixel Level

Cihang Xie, A. Yuille, Yuyin Zhou, 2022, ArXiv.

I BOT : I MAGE BERT P RE -T RAINING WITH O NLINE T OKENIZER

Cihang Xie, A. Yuille, Huiyu Wang, 2022 .

Batch Normalization with Enhanced Linear Transformation pdf

Alan Yuille, Siyuan Qiao, Hongkai Xiong, 2020, ArXiv.

F AST A DV P ROP

Cihang Xie, A. Yuille, Yingwei Li, 2022 .

Learning Transferable Adversarial Examples via Ghost Networks

Song Bai, Yingwei Li, Alan L. Yuille, 2018, AAAI.

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images pdf

Benjamin Van Durme, Alan Yuille, Zhuowan Li, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning to Bootstrap for Combating Label Noise

Cihang Xie, Xuxi Chen, M. Lungren, 2022, ArXiv.

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning

Cihang Xie, Jieru Mei, Alan Yuille, 2023, Trans. Mach. Learn. Res..

Rejuvenating image-GPT as Strong Visual Representation Learners

Cihang Xie, Junfei Xiao, Hongru Zhu, 2023, ArXiv.

SPFormer: Enhancing Vision Transformer with Superpixel Representation

Cihang Xie, Jieru Mei, Alan Yuille, 2024, 2401.02931.

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties

Cihang Xie, Jieru Mei, Junfei Xiao, 2023, ArXiv.

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

Cihang Xie, A. Yuille, Yuyin Zhou, 2023, MICCAI.

Revisiting Adversarial Training at Scale

Cihang Xie, Xianhang Li, Zeyu Wang, 2024, 2401.04727.

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge

Cihang Xie, Jieru Mei, Xianhang Li, 2024, ArXiv.

Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training

Cihang Xie, Yipeng Gao, Wei-Shi Zheng, 2023, 2311.01734.

From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation

Cihang Xie, Jieru Mei, Alan L. Yuille, 2024, 2409.01353.

Brain Tumor Segmentation Through Supervoxel Transformer

Cihang Xie, Jieru Mei, Xianhang Li, 2024, 2024 IEEE International Symposium on Biomedical Imaging (ISBI).