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2020 – today
- 2024
[j6]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)- [j5]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) - [j4]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) - [j3]Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie:
On the Adversarial Robustness of Camera-based 3D Object Detection. Trans. Mach. Learn. Res. 2024 (2024) - [c48]Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie:
Benchmarking Robustness in Neural Radiance Fields. CVPR Workshops 2024: 2926-2936 - [c47]Zihao Wei, Chen Wei, Jieru Mei, Yutong Bai, Zeyu Wang, Xianhang Li, Hongru Zhu, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders are Secretly Efficient Learners. CVPR Workshops 2024: 7986-7995 - [c46]Yipeng Gao, Zeyu Wang, Wei-Shi Zheng, Cihang Xie, Yuyin Zhou:
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-Training. CVPR 2024: 22998-23008 - [c45]Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
L2B: Learning to Bootstrap Robust Models for Combating Label Noise. CVPR 2024: 23523-23533 - [c44]Zeyu Wang, Xianhang Li, Hongru Zhu, Cihang Xie:
Revisiting Adversarial Training at Scale. CVPR 2024: 24675-24685 - [c43]Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. EACL (1) 2024: 2378-2390 - [c42]Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie:
How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs. ECCV (51) 2024: 37-55 - [c41]Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. ECCV (38) 2024: 239-258 - [c40]Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie:
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. ICLR 2024 - [c39]Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie:
Rejuvenating image-GPT as Strong Visual Representation Learners. ICML 2024 - [c38]Yunfei Xie, Ce Zhou, Jieru Mei, Xianhang Li, Cihang Xie, Yuyin Zhou:
Brain Tumor Segmentation Through Supervoxel Transformer. ISBI 2024: 1-5 - [c37]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: 1002-1016 - [i74]Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie:
SPFormer: Enhancing Vision Transformer with Superpixel Representation. CoRR abs/2401.02931 (2024) - [i73]Zeyu Wang, Xianhang Li, Hongru Zhu, Cihang Xie:
Revisiting Adversarial Training at Scale. CoRR abs/2401.04727 (2024) - [i72]Siwei Yang, Bingchen Zhao, Cihang Xie:
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability. CoRR abs/2402.09404 (2024) - [i71]Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou:
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. CoRR abs/2403.15735 (2024) - [i70]Zichao Li, Cihang Xie, Ekin Dogus Cubuk:
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies. CoRR abs/2404.08197 (2024) - [i69]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 abs/2404.09990 (2024) - [i68]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 abs/2405.14858 (2024) - [i67]Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie:
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. CoRR abs/2405.15160 (2024) - [i66]Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie:
Scaling White-Box Transformers for Vision. CoRR abs/2405.20299 (2024) - [i65]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 abs/2406.07537 (2024) - [i64]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 abs/2406.08478 (2024) - [i63]Yuxuan Wang, Yueqian Wang, Dongyan Zhao, Cihang Xie, Zilong Zheng:
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models. CoRR abs/2406.16338 (2024) - [i62]Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou:
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. CoRR abs/2408.02900 (2024) - [i61]Yuxuan Wang, Cihang Xie, Yang Liu, Zilong Zheng:
VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges. CoRR abs/2409.01071 (2024) - [i60]Yunfei Xie, Cihang Xie, Alan L. Yuille, Jieru Mei:
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation. CoRR abs/2409.01353 (2024) - [i59]Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou:
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? CoRR abs/2409.15277 (2024) - [i58]Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang:
VHELM: A Holistic Evaluation of Vision Language Models. CoRR abs/2410.07112 (2024) - [i57]Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie:
Causal Image Modeling for Efficient Visual Understanding. CoRR abs/2410.07599 (2024) - [i56]Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie:
AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation. CoRR abs/2410.09040 (2024) - 2023
- [j2]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): 9225-9232 (2023) - [c36]Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff:
Practical Disruption of Image Translation Deepfake Networks. AAAI 2023: 14478-14486 - [c35]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: 24256-24265 - [c34]Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie:
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. ICCV 2023: 2459-2469 - [c33]Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang:
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation. ICCV 2023: 8603-8612 - [c32]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: 16238-16248 - [c31]Zeyu Wang, Yutong Bai, Yuyin Zhou, Cihang Xie:
Can CNNs Be More Robust Than Transformers? ICLR 2023 - [c30]Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang:
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. ICLR 2023 - [c29]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: 183-193 - [c28]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: 486-496 - [c27]Xianhang Li, Zeyu Wang, Cihang Xie:
An Inverse Scaling Law for CLIP Training. NeurIPS 2023 - [i55]Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie:
Benchmarking Robustness in Neural Radiance Fields. CoRR abs/2301.04075 (2023) - [i54]Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie:
On the Adversarial Robustness of Camera-based 3D Object Detection. CoRR abs/2301.10766 (2023) - [i53]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 abs/2304.03283 (2023) - [i52]Xianhang Li, Zeyu Wang, Cihang Xie:
An Inverse Scaling Law for CLIP Training. CoRR abs/2305.07017 (2023) - [i51]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 abs/2306.15658 (2023) - [i50]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 abs/2307.11604 (2023) - [i49]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 abs/2307.12591 (2023) - [i48]Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie:
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics. CoRR abs/2309.07120 (2023) - [i47]Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang:
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation. CoRR abs/2309.15109 (2023) - [i46]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 abs/2310.04412 (2023) - [i45]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 abs/2311.01734 (2023) - [i44]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 abs/2311.16101 (2023) - [i43]Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie:
Rejuvenating image-GPT as Strong Visual Representation Learners. CoRR abs/2312.02147 (2023) - [i42]Fangxun Shu, Lei Zhang, Hao Jiang, Cihang Xie:
Audio-Visual LLM for Video Understanding. CoRR abs/2312.06720 (2023) - [i41]Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie:
Compress & Align: Curating Image-Text Data with Human Knowledge. CoRR abs/2312.06726 (2023) - [i40]Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie:
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. CoRR abs/2312.11420 (2023) - [i39]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 abs/2312.13764 (2023) - 2022
- [c26]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: 4135-4145 - [c25]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: 14575-14584 - [c24]Junbo Li, Huan Zhang, Cihang Xie:
ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers. ECCV (25) 2022: 573-587 - [c23]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: 675-691 - [c22]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. ICLR 2022 - [c21]Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
Image BERT Pre-training with Online Tokenizer. ICLR 2022 - [c20]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 - [c19]Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff:
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. NeurIPS 2022 - [i38]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 abs/2202.04291 (2022) - [i37]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. CoRR abs/2204.09838 (2022) - [i36]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 abs/2205.01721 (2022) - [i35]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 abs/2205.12134 (2022) - [i34]Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang:
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. CoRR abs/2205.12141 (2022) - [i33]Zeyu Wang, Yutong Bai, Yuyin Zhou, Cihang Xie:
Can CNNs Be More Robust Than Transformers? CoRR abs/2206.03452 (2022) - [i32]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 abs/2206.07692 (2022) - [i31]Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders Enable Efficient Knowledge Distillers. CoRR abs/2208.12256 (2022) - [i30]Zichao Li, Li Liu, Zeyu Wang, Yuyin Zhou, Cihang Xie:
Bag of Tricks for FGSM Adversarial Training. CoRR abs/2209.02684 (2022) - [i29]Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie:
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. CoRR abs/2211.11446 (2022) - [i28]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 abs/2211.14769 (2022) - [i27]Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff:
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. CoRR abs/2211.16499 (2022) - [i26]Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? CoRR abs/2212.00281 (2022) - [i25]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 abs/2212.10556 (2022) - 2021
- [c18]Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CVPR 2021: 16622-16631 - [c17]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: 14890-14899 - [c16]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 - [c15]Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie:
Are Transformers more robust than CNNs? NeurIPS 2021: 26831-26843 - [i24]Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CoRR abs/2103.13886 (2021) - [i23]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CoRR abs/2106.04569 (2021) - [i22]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 abs/2110.00519 (2021) - [i21]Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie:
Are Transformers More Robust Than CNNs? CoRR abs/2111.05464 (2021) - [i20]Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
iBOT: Image BERT Pre-Training with Online Tokenizer. CoRR abs/2111.07832 (2021) - 2020
- [c14]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. AAAI 2020: 11458-11465 - [c13]Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu:
Universal Physical Camouflage Attacks on Object Detectors. CVPR 2020: 717-726 - [c12]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CVPR 2020: 816-825 - [c11]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: 10294-10303 - [c10]Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille:
PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. ECCV (26) 2020: 681-698 - [c9]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: 795-813 - [c8]Cihang Xie, Alan L. Yuille:
Intriguing Properties of Adversarial Training at Scale. ICLR 2020 - [i19]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 abs/2004.01961 (2020) - [i18]Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille:
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. CoRR abs/2004.05682 (2020) - [i17]Cihang Xie, Mingxing Tan, Boqing Gong, Alan L. Yuille, Quoc V. Le:
Smooth Adversarial Training. CoRR abs/2006.14536 (2020) - [i16]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. CoRR abs/2010.05981 (2020) - [i15]Yuhui Xu, Lingxi Xie, Cihang Xie, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille:
Batch Normalization with Enhanced Linear Transformation. CoRR abs/2011.14150 (2020)
2010 – 2019
- 2019
- [c7]Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He:
Feature Denoising for Improving Adversarial Robustness. CVPR 2019: 501-509 - [c6]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: 2730-2739 - [i14]Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille:
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. CoRR abs/1904.00979 (2019) - [i13]Cihang Xie, Alan L. Yuille:
Intriguing properties of adversarial training. CoRR abs/1906.03787 (2019) - [i12]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 abs/1909.04326 (2019) - [i11]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CoRR abs/1911.09665 (2019) - 2018
- [c5]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: 1372-1380 - [c4]Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille:
Single-Shot Object Detection With Enriched Semantics. CVPR 2018: 5813-5821 - [c3]Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille:
Mitigating Adversarial Effects Through Randomization. ICLR (Poster) 2018 - [i10]Cihang Xie, Zhishuai Zhang, Jianyu Wang, Yuyin Zhou, Zhou Ren, Alan L. Yuille:
Improving Transferability of Adversarial Examples with Input Diversity. CoRR abs/1803.06978 (2018) - [i9]