Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19 F Shi, J Wang, J Shi, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen IEEE reviews in biomedical engineering 14, 4-15, 2020 | 1490 | 2020 |
Tell Me Where to Look: Guided Attention Inference Network K Li, Z Wu, KC Peng, J Ernst, Y Fu Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 601 | 2018 |
Counterfactual Visual Explanations Y Goyal, Z Wu, J Ernst, D Batra, D Parikh, S Lee International Conference on Machine Learning, 2019 | 544 | 2019 |
Learning without Memorizing P Dhar, RV Singh, KC Peng, Z Wu, R Chellappa Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on, 2019 | 509 | 2019 |
Re-Identification with Consistent Attentive Siamese Networks M Zheng, S Karanam, Z Wu, RJ Radke Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on, 2019 | 302 | 2019 |
A systematic evaluation and benchmark for person re-identification: Features, metrics, and datasets M Gou, Z Wu, A Rates-Borras, O Camps, RJ Radke IEEE transactions on pattern analysis and machine intelligence 41 (3), 523-536, 2018 | 274 | 2018 |
Towards Visually Explaining Variational Autoencoders W Liu, R Li, M Zheng, S Karanam, Z Wu, B Bhanu, RJ Radke, O Camps Computer Vision and Pattern Recognition (CVPR), 2020 IEEE Conference on, 2020 | 237 | 2020 |
Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Z Wu, Y Li, RJ Radke IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (5), 1095 …, 2015 | 153 | 2015 |
Hierarchical kinematic human mesh recovery G Georgakis, R Li, S Karanam, T Chen, J Košecká, Z Wu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 105 | 2020 |
Weakly Supervised Summarization of Web Videos R Panda, A Das, Z Wu, J Ernst, AK Roy-Chowdhury Proceedings of the IEEE International Conference on Computer Vision, 3657-3666, 2017 | 103 | 2017 |
Zero-shot deep domain adaptation KC Peng, Z Wu, J Ernst European Conference on Computer Vision, 2018 | 96 | 2018 |
Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis X Ouyang, S Karanam, Z Wu, T Chen, J Huo, XS Zhou, Q Wang, ... IEEE transactions on medical imaging 40 (10), 2698-2710, 2020 | 94 | 2020 |
Ensemble attention distillation for privacy-preserving federated learning X Gong, A Sharma, S Karanam, Z Wu, T Chen, D Doermann, A Innanje Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 92 | 2021 |
Depthsynth: Real-time realistic synthetic data generation from cad models for 2.5 d recognition B Planche, Z Wu, K Ma, S Sun, S Kluckner, O Lehmann, T Chen, A Hutter, ... 2017 International conference on 3d vision (3DV), 1-10, 2017 | 90 | 2017 |
Keeping a Pan-Tilt-Zoom Camera Calibrated Z Wu, R Radke IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (8), 1994-2007, 2013 | 86 | 2013 |
Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis Y Li, Z Wu, S Karanam, RJ Radke British Machine Vision Conference, 2015 | 79 | 2015 |
Spatio-temporal representation factorization for video-based person re-identification A Aich, M Zheng, S Karanam, T Chen, AK Roy-Chowdhury, Z Wu Proceedings of the IEEE/CVF international conference on computer vision, 152-162, 2021 | 75 | 2021 |
From the Lab to the Real World: Re-Identification in an Airport Camera Network O Camps, M Gou, T Hebble, S Karanam, O Lehmann, Y Li, R Radke, ... IEEE Transactions on Circuits and Systems for Video Technology, 2016 | 71 | 2016 |
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching G Georgakis, S Karanam, Z Wu, J Ernst, J Kosecka Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 65 | 2018 |
A comprehensive evaluation and benchmark for person re-identification: Features, metrics, and datasets S Karanam, M Gou, Z Wu, A Rates-Borras, O Camps, RJ Radke arXiv:1605.09653, 2016 | 65* | 2016 |