| A convolutional neural network cascade for face detection H Li, Z Lin, X Shen, J Brandt, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1815 | 2015 |
| Labeled faces in the wild: A survey E Learned-Miller, GB Huang, A RoyChowdhury, H Li, G Hua Advances in face detection and facial image analysis, 189-248, 2016 | 741 | 2016 |
| Probabilistic elastic matching for pose variant face verification H Li, G Hua, Z Lin, J Brandt, J Yang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 269 | 2013 |
| Eigen-Pep for Video Face Recognition H Li, G Hua, X Shen, Z Lin, J Brandt ACCV, 2014 | 160 | 2014 |
| A modulation module for multi-task learning with applications in image retrieval X Zhao, H Li, X Shen, X Liang, Y Wu Proceedings of the European Conference on Computer Vision (ECCV), 401-416, 2018 | 159 | 2018 |
| Vqs: Linking segmentations to questions and answers for supervised attention in vqa and question-focused semantic segmentation C Gan, Y Li, H Li, C Sun, B Gong Proceedings of the IEEE international conference on computer vision, 1811-1820, 2017 | 144 | 2017 |
| Efficient boosted exemplar-based face detection H Li, Z Lin, J Brandt, X Shen, G Hua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 132 | 2014 |
| Few-shot open-set recognition using meta-learning B Liu, H Kang, H Li, G Hua, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 127 | 2020 |
| Probabilistic elastic part model for unsupervised face detector adaptation H Li, G Hua, Z Lin, J Brandt, J Yang Proceedings of the IEEE international conference on computer vision, 793-800, 2013 | 110 | 2013 |
| Towards interpretable face recognition B Yin, L Tran, H Li, X Shen, X Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 108 | 2019 |
| Object detection using cascaded convolutional neural networks S Xiaohui, H Li, Z Lin, JW Brandt US Patent 9,418,319, 2016 | 105 | 2016 |
| Contemplating visual emotions: Understanding and overcoming dataset bias R Panda, J Zhang, H Li, JY Lee, X Lu, AK Roy-Chowdhury Proceedings of the European Conference on Computer Vision (ECCV), 579-595, 2018 | 104 | 2018 |
| Learning dynamics via graph neural networks for human pose estimation and tracking Y Yang, Z Ren, H Li, C Zhou, X Wang, G Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 94 | 2021 |
| Hierarchical-pep model for real-world face recognition H Li, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 81 | 2015 |
| Learning dense facial correspondences in unconstrained images R Yu, S Saito, H Li, D Ceylan, H Li Proceedings of the IEEE international conference on computer vision, 4723-4732, 2017 | 79 | 2017 |
| Implicit autoencoder for point-cloud self-supervised representation learning S Yan, Z Yang, H Li, C Song, L Guan, H Kang, G Hua, Q Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 67 | 2023 |
| Any-precision deep neural networks H Yu, H Li, H Shi, TS Huang, G Hua Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10763 …, 2021 | 66 | 2021 |
| Gistnet: a geometric structure transfer network for long-tailed recognition B Liu, H Li, H Kang, G Hua, N Vasconcelos Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 61 | 2021 |
| Active object perceiver: Recognition-guided policy learning for object searching on mobile robots X Ye, Z Lin, H Li, S Zheng, Y Yang 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 55 | 2018 |
| Report on the FG 2015 video person recognition evaluation JR Beveridge, H Zhang, BA Draper, PJ Flynn, Z Feng, P Huber, J Kittler, ... 2015 11th IEEE international conference and workshops on automatic face and …, 2015 | 54 | 2015 |
Gang HuaVice President, Multimodal Experiences Research Lab, Dolby Laboratories, IEEE & IAPR FellowVerifisert e-postadresse på dolby.com