Wang, Xiaogang

Pyramid Scene Parsing Network

Zhao, H., Shi, J., Qi, X., Wang, X., & Jia, J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

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Deep Learning Face Attributes in the Wild

Liu, Z., Luo, P., Wang, X., & Tang, X. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Face recognition and analysisFace and Expression Recognition

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Deformable DETR: Deformable Transformers for End-to-End Object Detection

Zhu, X., Su, W., Lu, L., Li, B., Wang, X., & Dai, J. (2020) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

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Residual Attention Network for Image Classification

Wang, F., Jiang, M., Qian, C., Yang, S., Li, C., Zhang, H., Wang, X., & Tang, X. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

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PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

Shi, S., Wang, X., & Li, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network Applications3D Shape Modeling and Analysis

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StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., & Metaxas, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

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Deep Learning for Generic Object Detection: A Survey

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2018) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

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Deep Learning for Generic Object Detection: A Survey

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2020) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

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PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Shi, S., Guo, C., Jiang, L., Wang, Z., Shi, J., Wang, X., & Li, H. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network Applications3D Shape Modeling and Analysis

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Deep Learning Face Representation by Joint Identification-Verification

Sun, Y., Wang, X., & Tang, X. (2014) · arXiv

Face recognition and analysisFace and Expression Recognition

Cited by 1,906

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Wang, W., Dai, J., Chen, Z., Huang, Z., Li, Z., Zhu, X., Hu, X., Lu, T., Lu, L., Li, H., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

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Medical image classification with convolutional neural network

Li, Q., Cai, W., Wang, X., Zhou, Y., Feng, D. D., & Chen, M. (2014) · 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

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T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos

Kang, K., Li, H., Yan, J., Zeng, X., Yang, B., Xiao, T., Zhang, C., Wang, Z., Wang, R., Wang, X., et al. (2018) · IEEE Transactions on Circuits and Systems for Video Technology

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

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Revisiting the Sibling Head in Object Detector

Song, G., Liu, Y., & Wang, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

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Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

Zhou, H., Liu, Y., Liu, Z., Luo, P., & Wang, X. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

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Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism

Chu, Q., Ouyang, W., Li, H., Wang, X., Liu, B., & Yu, N. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

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Local binary features for texture classification: Taxonomy and experimental study

Liu, L., Fieguth, P., Guo, Y., Wang, X., & Pietikäinen, M. (2017) · Pattern Recognition

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

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Frozen CLIP Models are Efficient Video Learners

Lin, Z., Geng, S., Zhang, R., Gao, P., de Melo, G., Wang, X., Dai, J., Qiao, Y., & Li, H. (2022) · Lecture Notes in Computer Science

Human Pose and Action RecognitionMultimodal Machine Learning Applications

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Single-Pedestrian Detection Aided by Multi-pedestrian Detection

Ouyang, W., & Wang, X. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

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Crafting GBD-Net for Object Detection

Zeng, X., Ouyang, W., Yan, J., Li, H., Xiao, T., Wang, K., Liu, Y., Zhou, Y., Yang, B., Wang, Z., et al. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

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Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks

Zhang, Z., Li, J., Shao, W., Peng, Z., Zhang, R., Wang, X., & Luo, P. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

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