Xi Peng

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 70

Top Topics

Graph Embedding

Pose Estimation

Machine Learning

Top Venues

Int. J. Comput. Vis.

Publications

Yi Zhang, Sheng Huang, Xi Peng, Dan Yang
Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Xi Peng, Fengchun Qiao, Long Zhao
Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Kien X. Nguyen, Fengchun Qiao, Xi Peng
Adaptive Cascading Network for Continual Test-Time Adaptation. CoRR (2024)
Mengmeng Ma, Tang Li, Xi Peng
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients. CoRR (2024)
Junyang Shi, Aitian Ma, Xia Cheng, Mo Sha, Xi Peng
Adapting Wireless Network Configuration From Simulation to Reality via Deep Learning-Based Domain Adaptation. IEEE/ACM Trans. Netw. 32 (3) (2024)
Tang Li, Mengmeng Ma, Xi Peng
DEAL: Disentangle and Localize Concept-level Explanations for VLMs. CoRR (2024)
Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. CoRR (2023)
Tang Li, Fengchun Qiao, Mengmeng Ma, Xi Peng
Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR (2023)
Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. ICCV (2023)
Fengchun Qiao, Xi Peng
Topology-aware Robust Optimization for Out-of-distribution Generalization. CoRR (2023)
Fengchun Qiao, Xi Peng
Topology-aware Robust Optimization for Out-of-Distribution Generalization. ICLR (2023)
Qitong Wang, Bin Fu, Ming Li, Junjun He, Xi Peng, Yu Qiao
Region-Aware Arbitrary-Shaped Text Detection With Progressive Fusion. IEEE Trans. Multim. 25 (2023)
Tang Li, Fengchun Qiao, Mengmeng Ma, Xi Peng
Are Data-driven Explanations Robust against Out-of-distribution Data? CoRR (2023)
Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng
Are Multimodal Transformers Robust to Missing Modality? CVPR (2022)
Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng
Are Multimodal Transformers Robust to Missing Modality? CoRR (2022)
Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng
SMIL: Multimodal Learning with Severely Missing Modality. CoRR (2021)
Fengchun Qiao, Xi Peng
Uncertainty-guided Model Generalization to Unseen Domains. CoRR (2021)
Fengchun Qiao, Xi Peng
Uncertainty-Guided Model Generalization to Unseen Domains. CVPR (2021)
Xi Peng, Fengchun Qiao, Long Zhao
Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach. CoRR (2021)
Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov
A Good Image Generator Is What You Need for High-Resolution Video Synthesis. CoRR (2021)
Sachin Gavali, Chuming Chen, Julie Cowart, Xi Peng, Shanshan Ding, Cathy H. Wu, Tammy Anderson
Understanding the factors related to the opioid epidemic using machine learning. BIBM (2021)
Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng
SMIL: Multimodal Learning with Severely Missing Modality. AAAI (2021)
Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov
A Good Image Generator Is What You Need for High-Resolution Video Synthesis. ICLR (2021)
Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CVPR (2021)
Sachin Gavali, Chuming Chen, Julie Cowart, Xi Peng, Shanshan Ding, Cathy Wu, Tammy Anderson
Understanding the factors driving the opioid epidemic using machine learning. CoRR (2021)
Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge. CoRR (2020)
Fengchun Qiao, Long Zhao, Xi Peng
Learning to Learn Single Domain Generalization. CVPR (2020)
Fengchun Qiao, Long Zhao, Xi Peng
Learning to Learn Single Domain Generalization. CoRR (2020)
Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CoRR (2020)
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas
Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks. Int. J. Comput. Vis. 128 (10) (2020)
Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. CoRR (2020)
Zhiqiang Tang, Xi Peng, Kang Li, Dimitris N. Metaxas
Towards Efficient U-Nets: A Coupled and Quantized Approach. IEEE Trans. Pattern Anal. Mach. Intell. 42 (8) (2020)
Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge. CVPR (2020)
Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. NeurIPS (2020)
Long Zhao, Fangda Han, Xi Peng, Xun Zhang, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas
Cartoonish sketch-based face editing in videos using identity deformation transfer. Comput. Graph. 79 (2019)
Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas
AdaTransform: Adaptive Data Transformation. ICCV (2019)
Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas
Rethinking Kernel Methods for Node Representation Learning on Graphs. NeurIPS (2019)
Rahil Mehrizi, Xi Peng, Dimitris N. Metaxas, Xu Xu, Shaoting Zhang, Kang Li
Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach. IEEE Trans. Hum. Mach. Syst. 49 (1) (2019)
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. CoRR (2019)
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. KDD (2019)
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR (2019)
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CoRR (2019)
Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas
Rethinking Kernel Methods for Node Representation Learning on Graphs. CoRR (2019)
Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. CoRR (2019)
Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. BMVC (2019)
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS (2019)
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CVPR (2019)
Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas
Quantized Densely Connected U-Nets for Efficient Landmark Localization. ECCV (3) (2018)
Rahil Mehrizi, Xi Peng, Zhiqiang Tang, Xu Xu, Dimitris N. Metaxas, Kang Li
Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution. FG (2018)
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR (2018)
Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment. CoRR (2018)
Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas
CU-Net: Coupled U-Nets. BMVC (2018)
Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. CVPR (2018)
Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas
CR-GAN: Learning Complete Representations for Multi-view Generation. CoRR (2018)
Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas
CU-Net: Coupled U-Nets. CoRR (2018)
Rahil Mehrizi, Xi Peng, Zhiqiang Tang, Xu Xu, Dimitris N. Metaxas, Kang Li
Toward Marker-free 3D Pose Estimation in Lifting: A Deep Multi-view Solution. CoRR (2018)
Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas
CR-GAN: Learning Complete Representations for Multi-view Generation. IJCAI (2018)
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation. CoRR (2018)
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation. ECCV (15) (2018)
Xi Peng, Shaoting Zhang, Yang Yu, Dimitris N. Metaxas
Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild. Int. J. Comput. Vis. 126 (2-4) (2018)
Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas
Quantized Densely Connected U-Nets for Efficient Landmark Localization. CoRR (2018)
Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
RED-Net: A Recurrent Encoder-Decoder Network for Video-Based Face Alignment. Int. J. Comput. Vis. 126 (10) (2018)
Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. CoRR (2018)
Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. ICCV (2017)
Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker
Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition. CoRR (2017)
Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas
Track Facial Points in Unconstrained Videos. CoRR (2016)
Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas
Track Facial Points in Unconstrained Videos. BMVC (2016)
Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
A Recurrent Encoder-Decoder Network for Sequential Face Alignment. CoRR (2016)
Xi Peng, Junzhou Huang, Dimitris N. Metaxas
Sequential Face Alignment via Person-Specific Modeling in the Wild. CVPR Workshops (2016)
Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
A Recurrent Encoder-Decoder Network for Sequential Face Alignment. ECCV (1) (2016)
Xi Peng, Shaoting Zhang, Yu Yang, Dimitris N. Metaxas
PIEFA: Personalized Incremental and Ensemble Face Alignment. ICCV (2015)
Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas
From circle to 3-sphere: Head pose estimation by instance parameterization. Comput. Vis. Image Underst. 136 (2015)
Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas
Three-dimensional head pose estimation in-the-wild. FG (2015)
Qiong Hu, Xi Peng, Peng Yang, Fei Yang, Dimitris N. Metaxas
Robust Multi-pose Facial Expression Recognition. ICPR (2014)
Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas
Head Pose Estimation by Instance Parameterization. ICPR (2014)