Cihang Xie

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 112

Top Venues

Publications

Yuxuan Wang, Yueqian Wang, Dongyan Zhao, Cihang Xie, Zilong Zheng
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models. CoRR (2024)
Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. ICLR (2024)
Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan L. Yuille, Cihang Xie
Autoregressive Pretraining with Mamba in Vision. CoRR (2024)
Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Yuyin Zhou, Cihang Xie
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing. CoRR (2024)
Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
Siwei Yang, Bingchen Zhao, Cihang Xie
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability. CoRR (2024)
Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. CoRR (2024)
Zeyu Wang, Xianhang Li, Hongru Zhu, Cihang Xie
Revisiting Adversarial Training at Scale. CoRR (2024)
Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. EACL (1) (2024)
Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie
SPFormer: Enhancing Vision Transformer with Superpixel Representation. CoRR (2024)
Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie
Mamba-R: Vision Mamba ALSO Needs Registers. CoRR (2024)
Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. CoRR (2024)
Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie
Unleashing the Power of Visual Prompting At the Pixel Level. Trans. Mach. Learn. Res. 2024 (2024)
Zichao Li, Cihang Xie, Ekin Dogus Cubuk
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies. Trans. Mach. Learn. Res. 2024 (2024)
Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie
On the Adversarial Robustness of Camera-based 3D Object Detection. Trans. Mach. Learn. Res. 2024 (2024)
Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie
What If We Recaption Billions of Web Images with LLaMA-3? CoRR (2024)
Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie
Scaling White-Box Transformers for Vision. CoRR (2024)
Zichao Li, Cihang Xie, Ekin Dogus Cubuk
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies. CoRR (2024)
Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang
Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. NAACL-HLT (2024)
Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie
Rejuvenating image-GPT as Strong Visual Representation Learners. CoRR (2023)
Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan L. Yuille, Cihang Xie, Yuyin Zhou
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. CoRR (2023)
Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation. CoRR (2023)
Zeyu Wang, Yutong Bai, Yuyin Zhou, Cihang Xie
Can CNNs Be More Robust Than Transformers? ICLR (2023)
Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. ICCV (2023)
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff
Practical Disruption of Image Translation Deepfake Networks. AAAI (2023)
Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs. CoRR (2023)
Yipeng Gao, Zeyu Wang, Wei-Shi Zheng, Cihang Xie, Yuyin Zhou
MixCon3D: Synergizing Multi-View and Cross-Modal Contrastive Learning for Enhancing 3D Representation. CoRR (2023)
Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie
Benchmarking Robustness in Neural Radiance Fields. CoRR (2023)
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
Diffusion Models as Masked Autoencoders. CoRR (2023)
Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie
Compress & Align: Curating Image-Text Data with Human Knowledge. CoRR (2023)
Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation. CoRR (2023)
Xianhang Li, Zeyu Wang, Cihang Xie
CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a $10, 000 Budget; An Extra $4, 000 Unlocks 81.8% Accuracy. CoRR (2023)
Xianhang Li, Zeyu Wang, Cihang Xie
An Inverse Scaling Law for CLIP Training. CoRR (2023)
Xianhang Li, Zeyu Wang, Cihang Xie
An Inverse Scaling Law for CLIP Training. NeurIPS (2023)
Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie
On the Adversarial Robustness of Camera-based 3D Object Detection. CoRR (2023)
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
Diffusion Models as Masked Autoencoders. ICCV (2023)
Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation. ICCV (2023)
Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics. CoRR (2023)
Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie
Masked Autoencoders Enable Efficient Knowledge Distillers. CVPR (2023)
Fangxun Shu, Lei Zhang, Hao Jiang, Cihang Xie
Audio-Visual LLM for Video Understanding. CoRR (2023)
Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. CoRR (2023)
Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. CoRR (2023)
Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. MICCAI (4) (2023)
Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille
BNET: Batch Normalization With Enhanced Linear Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan L. Yuille, Cihang Xie, Yuyin Zhou
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. MICCAI (3) (2023)
Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. CoRR (2023)
Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. ICLR (2023)
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. CoRR (2022)
Junbo Li, Huan Zhang, Cihang Xie
ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers. ECCV (25) (2022)
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CVPR (2022)
Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. NeurIPS (2022)
Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie
Masked Autoencoders Enable Efficient Knowledge Distillers. CoRR (2022)
Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie
In Defense of Image Pre-Training for Spatiotemporal Recognition. CoRR (2022)
Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. CoRR (2022)
Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
Learning to Bootstrap for Combating Label Noise. CoRR (2022)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS (2022)
Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong
Image BERT Pre-training with Online Tokenizer. ICLR (2022)
Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie
Fast AdvProp. CoRR (2022)
Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie
Unleashing the Power of Visual Prompting At the Pixel Level. CoRR (2022)
Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie
In Defense of Image Pre-Training for Spatiotemporal Recognition. ECCV (25) (2022)
Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. CoRR (2022)
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR (2022)
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CoRR (2022)
Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille
Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? CoRR (2022)
Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie
Fast AdvProp. ICLR (2022)
Zeyu Wang, Yutong Bai, Yuyin Zhou, Cihang Xie
Can CNNs Be More Robust Than Transformers? CoRR (2022)
Zichao Li, Li Liu, Zeyu Wang, Yuyin Zhou, Cihang Xie
Bag of Tricks for FGSM Adversarial Training. CoRR (2022)
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff
Simulated Adversarial Testing of Face Recognition Models. CVPR (2022)
Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang
Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning. CoRR (2022)
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. CoRR (2021)
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff
Simulated Adversarial Testing of Face Recognition Models. CoRR (2021)
Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie
Are Transformers More Robust Than CNNs? CoRR (2021)
Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong
Robust and Accurate Object Detection via Adversarial Learning. CVPR (2021)
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
Shape-Texture Debiased Neural Network Training. ICLR (2021)
Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong
Robust and Accurate Object Detection via Adversarial Learning. CoRR (2021)
Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong
iBOT: Image BERT Pre-Training with Online Tokenizer. CoRR (2021)
Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie
Are Transformers more robust than CNNs? NeurIPS (2021)
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. ICCV (2021)
Cihang Xie, Alan L. Yuille
Intriguing Properties of Adversarial Training at Scale. ICLR (2020)
Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. ECCV (11) (2020)
Cihang Xie, Mingxing Tan, Boqing Gong, Alan L. Yuille, Quoc V. Le
Smooth Adversarial Training. CoRR (2020)
Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille
PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. ECCV (26) (2020)
Yuhui Xu, Lingxi Xie, Cihang Xie, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille
Batch Normalization with Enhanced Linear Transformation. CoRR (2020)
Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu
Universal Physical Camouflage Attacks on Object Detectors. CVPR (2020)
Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le
Adversarial Examples Improve Image Recognition. CVPR (2020)
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
Neural Architecture Search for Lightweight Non-Local Networks. CVPR (2020)
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
Neural Architecture Search for Lightweight Non-Local Networks. CoRR (2020)
Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille
Learning Transferable Adversarial Examples via Ghost Networks. AAAI (2020)
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
Shape-Texture Debiased Neural Network Training. CoRR (2020)
Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. CoRR (2020)
Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le
Adversarial Examples Improve Image Recognition. CoRR (2019)
Cihang Xie, Alan L. Yuille
Intriguing properties of adversarial training. CoRR (2019)
Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. CoRR (2019)
Lifeng Huang, Chengying Gao, Yuyin Zhou, Changqing Zou, Cihang Xie, Alan L. Yuille, Ning Liu
UPC: Learning Universal Physical Camouflage Attacks on Object Detectors. CoRR (2019)
Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille
Improving Transferability of Adversarial Examples With Input Diversity. CVPR (2019)
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He
Feature Denoising for Improving Adversarial Robustness. CVPR (2019)
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille
Mitigating Adversarial Effects Through Randomization. ICLR (Poster) (2018)
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He
Feature Denoising for Improving Adversarial Robustness. CoRR (2018)
Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille
Learning Transferable Adversarial Examples via Ghost Networks. CoRR (2018)
Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. CVPR (2018)

Cihang Xie.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Cihang Xie