Graph based skeleton motion representation and similarity measurement for action recognition P Wang, C Yuan, W Hu, B Li, Y Zhang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 118 | 2016 |
Rethinking and improving the robustness of image style transfer P Wang, Y Li, N Vasconcelos Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 93 | 2021 |
Scout: Self-aware discriminant counterfactual explanations P Wang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 81 | 2020 |
Dynamic transfer for multi-source domain adaptation Y Li, L Yuan, Y Chen, P Wang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 80 | 2021 |
Omni-detr: Omni-supervised object detection with transformers P Wang, Z Cai, H Yang, G Swaminathan, N Vasconcelos, B Schiele, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 50 | 2022 |
Solving long-tailed recognition with deep realistic taxonomic classifier TY Wu, P Morgado, P Wang, CH Ho, N Vasconcelos Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 49 | 2020 |
Towards realistic predictors P Wang, N Vasconcelos Proceedings of the European Conference on Computer Vision (ECCV), 36-51, 2018 | 38 | 2018 |
Imagine: Image synthesis by image-guided model inversion P Wang, Y Li, KK Singh, J Lu, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
Estimation of chlorophyll content in intertidal mangrove leaves with different thicknesses using hyperspectral data Y Zhao, C Yan, S Lu, P Wang, GY Qiu, R Li Ecological indicators 106, 105511, 2019 | 25 | 2019 |
Gradient-based algorithms for machine teaching P Wang, K Nagrecha, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 21 | 2021 |
Deliberative explanations: visualizing network insecurities P Wang, N Nvasconcelos Advances in Neural Information Processing Systems 32, 2019 | 12 | 2019 |
A machine teaching framework for scalable recognition P Wang, N Vasconcelos Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
Context-dependent random walk graph kernels and tree pattern graph matching kernels with applications to action recognition W Hu, B Wu, P Wang, C Yuan, Y Li, S Maybank IEEE Transactions on Image Processing 27 (10), 5060-5075, 2018 | 8 | 2018 |
A generalized explanation framework for visualization of deep learning model predictions P Wang, N Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9265-9283, 2023 | 6 | 2023 |
Discriminating growth stages of an endangered Mediterranean relict plant (Ammopiptanthus mongolicus) in the arid Northwest China using hyperspectral measurements R Li, C Yan, Y Zhao, P Wang, GY Qiu Science of the total environment 657, 270-278, 2019 | 5 | 2019 |
Mixed-Query Transformer: A Unified Image Segmentation Architecture P Wang, Z Cai, H Yang, A Swaminathan, R Manmatha, S Soatto arXiv preprint arXiv:2404.04469, 2024 | 1 | 2024 |
Hierarchical Bayesian multiple kernel learning based feature fusion for action recognition W Sun, C Yuan, P Wang, S Yang, W Hu, Z Cai Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2017 | 1 | 2017 |
Synthesizing digital images utilizing image-guided model inversion of an image classifier P Wang, Y Li, J Lu, KK Singh US Patent 11,842,468, 2023 | | 2023 |
Towards Professional Level Crowd Annotation of Expert Domain Data P Wang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
Scaling up Recognition in Expert Domains with Crowd-source Annotations P Wang University of California, San Diego, 2022 | | 2022 |