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Xi Peng 0005
Person information
- affiliation: University of Delaware, Newark, DE, USA
- affiliation (former): Rutgers University, Piscataway, NJ, USA
Other persons with the same name
- Xi Peng — disambiguation page
- Xi Peng 0001 — Sichuan Univerisity, China (and 2 more)
- Xi Peng 0002 — Huazhong Normal University, China
- Xi Peng 0003 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Xi Peng 0004 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China
- Xi Peng 0006 — Huawei Technologies Co. Ltd., Hong Kong, China (and 1 more)
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2020 – today
- 2024
- [j13]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): 1775-1787 (2024) - [j12]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): 9455-9469 (2024) - [j11]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): 1983-1998 (2024) - [c40]Kien X. Nguyen, Fengchun Qiao, Xi Peng:
Adaptive Cascading Network for Continual Test-Time Adaptation. CIKM 2024: 1763-1773 - [c39]Tang Li, Mengmeng Ma, Xi Peng:
DEAL: Disentangle and Localize Concept-Level Explanations for VLMs. ECCV (39) 2024: 383-401 - [c38]Mengmeng Ma, Tang Li, Xi Peng:
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients. ICML 2024 - [c37]Fengchun Qiao, Xi Peng:
Ensemble Pruning for Out-of-distribution Generalization. ICML 2024 - [i34]Mengmeng Ma, Tang Li, Xi Peng:
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients. CoRR abs/2407.04949 (2024) - [i33]Kien X. Nguyen, Fengchun Qiao, Xi Peng:
Adaptive Cascading Network for Continual Test-Time Adaptation. CoRR abs/2407.12240 (2024) - [i32]Tang Li, Mengmeng Ma, Xi Peng:
DEAL: Disentangle and Localize Concept-level Explanations for VLMs. CoRR abs/2407.14412 (2024) - 2023
- [j10]Ruochen Wang, Liying Zheng, Ashley L. Hawke, Robert E. Carey, Scott P. Breloff, Kang Li, Xi Peng:
Video-Based 3D pose estimation for residential roofing. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 369-377 (2023) - [j9]Kien X. Nguyen, Liying Zheng, Ashley L. Hawke, Robert E. Carey, Scott P. Breloff, Kang Li, Xi Peng:
Deep learning-based estimation of whole-body kinematics from multi-view images. Comput. Vis. Image Underst. 235: 103780 (2023) - [j8]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: 4718-4729 (2023) - [c36]Tang Li, Fengchun Qiao, Mengmeng Ma, Xi Peng:
Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023: 3821-3831 - [c35]Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng:
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. ICCV 2023: 3284-3294 - [c34]Fengchun Qiao, Xi Peng:
Topology-aware Robust Optimization for Out-of-Distribution Generalization. ICLR 2023 - [i31]Tang Li, Fengchun Qiao, Mengmeng Ma, Xi Peng:
Are Data-driven Explanations Robust against Out-of-distribution Data? CoRR abs/2303.16390 (2023) - [i30]Kien X. Nguyen, Liying Zheng, Ashley L. Hawke, Robert E. Carey, Scott P. Breloff, Kang Li, Xi Peng:
Deep learning-based estimation of whole-body kinematics from multi-view images. CoRR abs/2307.05896 (2023) - [i29]Fengchun Qiao, Xi Peng:
Topology-aware Robust Optimization for Out-of-distribution Generalization. CoRR abs/2307.13943 (2023) - [i28]Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng:
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. CoRR abs/2308.11489 (2023) - 2022
- [c33]Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng:
Are Multimodal Transformers Robust to Missing Modality? CVPR 2022: 18156-18165 - [c32]Zhenzhu Zheng, Xi Peng:
Self-Guidance: Improve Deep Neural Network Generalization via Knowledge Distillation. WACV 2022: 3451-3460 - [i27]Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng:
Are Multimodal Transformers Robust to Missing Modality? CoRR abs/2204.05454 (2022) - 2021
- [c31]Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng:
SMIL: Multimodal Learning with Severely Missing Modality. AAAI 2021: 2302-2310 - [c30]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: 1309-1314 - [c29]Fengchun Qiao, Xi Peng:
Uncertainty-Guided Model Generalization to Unseen Domains. CVPR 2021: 6790-6800 - [c28]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: 12793-12802 - [c27]Zhenzhu Zheng, Christopher Rasmussen, Xi Peng:
Student-Teacher Oneness: A Storage-efficient approach that improves facial expression recognition. ICCVW 2021: 4060-4069 - [c26]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 - [c25]Junyang Shi, Mo Sha, Xi Peng:
Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation. NSDI 2021: 887-901 - [i26]Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng:
SMIL: Multimodal Learning with Severely Missing Modality. CoRR abs/2103.05677 (2021) - [i25]Fengchun Qiao, Xi Peng:
Uncertainty-guided Model Generalization to Unseen Domains. CoRR abs/2103.07531 (2021) - [i24]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 abs/2104.15069 (2021) - [i23]Yi Zhang, Sheng Huang, Xi Peng, Dan Yang:
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning. CoRR abs/2106.14467 (2021) - [i22]Xi Peng, Fengchun Qiao, Long Zhao:
Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach. CoRR abs/2108.02888 (2021) - [i21]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 abs/2108.07301 (2021) - [i20]Tang Li, Jing Gao, Xi Peng:
Deep Learning for Spatiotemporal Modeling of Urbanization. CoRR abs/2112.09668 (2021) - 2020
- [j7]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): 2514-2533 (2020) - [j6]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): 2038-2050 (2020) - [c24]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: 6527-6536 - [c23]Fengchun Qiao, Long Zhao, Xi Peng:
Learning to Learn Single Domain Generalization. CVPR 2020: 12553-12562 - [c22]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. NeurIPS 2020 - [i19]Fengchun Qiao, Long Zhao, Xi Peng:
Learning to Learn Single Domain Generalization. CoRR abs/2003.13216 (2020) - [i18]Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge. CoRR abs/2004.00176 (2020) - [i17]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. CoRR abs/2010.08001 (2020) - [i16]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 abs/2012.01405 (2020)
2010 – 2019
- 2019
- [j5]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: 58-68 (2019) - [j4]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): 85-94 (2019) - [c21]Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. BMVC 2019: 103 - [c20]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CVPR 2019: 3425-3435 - [c19]Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas:
AdaTransform: Adaptive Data Transformation. ICCV 2019: 2998-3006 - [c18]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: 1418-1428 - [c17]Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas:
Rethinking Kernel Methods for Node Representation Learning on Graphs. NeurIPS 2019: 11681-11692 - [c16]Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal:
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS 2019: 14917-14927 - [i15]Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal:
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR abs/1903.00502 (2019) - [i14]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CoRR abs/1904.03345 (2019) - [i13]Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. CoRR abs/1907.08871 (2019) - [i12]Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas:
Rethinking Kernel Methods for Node Representation Learning on Graphs. CoRR abs/1910.02548 (2019) - [i11]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 abs/1911.11119 (2019) - 2018
- [j3]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): 184-197 (2018) - [j2]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): 1103-1119 (2018) - [c15]Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas:
CU-Net: Coupled U-Nets. BMVC 2018: 305 - [c14]Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal:
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR 2018: 1004-1013 - [c13]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: 2226-2234 - [c12]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: 348-364 - [c11]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: 403-419 - [c10]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: 485-491 - [c9]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. IJCAI 2018: 942-948 - [i10]Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment. CoRR abs/1801.06066 (2018) - [i9]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 abs/1802.01741 (2018) - [i8]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 abs/1805.09707 (2018) - [i7]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. CoRR abs/1806.11191 (2018) - [i6]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation. CoRR abs/1807.09951 (2018) - [i5]Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. CoRR abs/1808.02194 (2018) - [i4]Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas:
CU-Net: Coupled U-Nets. CoRR abs/1808.06521 (2018) - 2017
- [c8]Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker:
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. ICCV 2017: 1632-1641 - [i3]Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker:
Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition. CoRR abs/1702.03041 (2017) - 2016
- [c7]Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas:
Track Facial Points in Unconstrained Videos. BMVC 2016 - [c6]Xi Peng, Junzhou Huang, Dimitris N. Metaxas:
Sequential Face Alignment via Person-Specific Modeling in the Wild. CVPR Workshops 2016: 1558-1567 - [c5]Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
A Recurrent Encoder-Decoder Network for Sequential Face Alignment. ECCV (1) 2016: 38-56 - [i2]Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
A Recurrent Encoder-Decoder Network for Sequential Face Alignment. CoRR abs/1608.05477 (2016) - [i1]Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas:
Track Facial Points in Unconstrained Videos. CoRR abs/1609.02825 (2016) - 2015
- [j1]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: 92-102 (2015) - [c4]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas:
Three-dimensional head pose estimation in-the-wild. FG 2015: 1-6 - [c3]Xi Peng, Shaoting Zhang, Yu Yang, Dimitris N. Metaxas:
PIEFA: Personalized Incremental and Ensemble Face Alignment. ICCV 2015: 3880-3888 - 2014
- [c2]Qiong Hu, Xi Peng, Peng Yang, Fei Yang, Dimitris N. Metaxas:
Robust Multi-pose Facial Expression Recognition. ICPR 2014: 1782-1787 - [c1]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas:
Head Pose Estimation by Instance Parameterization. ICPR 2014: 1800-1805
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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