Xi Peng

Long Zhao

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Ensemble Pruning for Out-of-distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients.

[BibT_eX]

[DOI]

Mengmeng Ma

Tang Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DEAL: Disentangle and Localize Concept-Level Explanations for VLMs.

[BibT_eX]

[DOI]

Tang Li

Mengmeng Ma

Proceedings of the Computer Vision - ECCV 2024, 2024

Adaptive Cascading Network for Continual Test-Time Adaptation.

[BibT_eX]

[DOI]

Kien X. Nguyen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Deep learning-based estimation of whole-body kinematics from multi-view images.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., October, 2023

Video-Based 3D pose estimation for residential roofing.

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Region-Aware Arbitrary-Shaped Text Detection With Progressive Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Topology-aware Robust Optimization for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Are Data-Driven Explanations Robust Against Out-of-Distribution Data?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-Guidance: Improve Deep Neural Network Generalization via Knowledge Distillation.

[BibT_eX]

[DOI]

Zhenzhu Zheng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Are Multimodal Transformers Robust to Missing Modality?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Learning for Spatiotemporal Modeling of Urbanization.

[BibT_eX]

[DOI]

Tang Li

Jing Gao

CoRR, 2021

Understanding the factors driving the opioid epidemic using machine learning.

[BibT_eX]

[DOI]

CoRR, 2021

Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach.

[BibT_eX]

[DOI]

Long Zhao

CoRR, 2021

Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation.

[BibT_eX]

[DOI]

Junyang Shi

Mo Sha

Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

A Good Image Generator Is What You Need for High-Resolution Video Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Student-Teacher Oneness: A Storage-efficient approach that improves facial expression recognition.

[BibT_eX]

[DOI]

Zhenzhu Zheng

Christopher Rasmussen

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Uncertainty-Guided Model Generalization to Unseen Domains.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Understanding the factors related to the opioid epidemic using machine learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

SMIL: Multimodal Learning with Severely Missing Modality.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Efficient U-Nets: A Coupled and Quantized Approach.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Learn Single Domain Generalization.

[BibT_eX]

[DOI]

Long Zhao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2019

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Cartoonish sketch-based face editing in videos using identity deformation transfer.

[BibT_eX]

[DOI]

Comput. Graph., 2019

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Rethinking Kernel Methods for Node Representation Learning on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AdaTransform: Adaptive Data Transformation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic Graph Convolutional Networks for 3D Human Pose Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

RED-Net: A Recurrent Encoder-Decoder Network for Video-Based Face Alignment.

[BibT_eX]

[DOI]

Rogério Schmidt Feris

Xiaoyu Wang

Int. J. Comput. Vis., 2018

CR-GAN: Learning Complete Representations for Multi-view Generation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation.

[BibT_eX]

[DOI]

Zhiqiang Tang

Fei Yang

Rogério Schmidt Feris

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CU-Net: Coupled U-Nets.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

A Recurrent Encoder-Decoder Network for Sequential Face Alignment.

[BibT_eX]

[DOI]

Rogério Schmidt Feris

Xiaoyu Wang

Proceedings of the Computer Vision - ECCV 2016, 2016

Sequential Face Alignment via Person-Specific Modeling in the Wild.

[BibT_eX]

[DOI]

Junzhou Huang