| A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets S Karanam, M Gou, Z Wu, A Rates-Borras, O Camps, RJ Radke IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 347* | 2019 |
| Re-Identification with Consistent Attentive Siamese Networks M Zheng, S Karanam, Z Wu, RJ Radke IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 319 | 2019 |
| Towards Visually Explaining Variational Autoencoders W Liu, R Li, M Zheng, S Karanam, Z Wu, B Bhanu, RJ Radke, O Camps IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 272 | 2020 |
| Person re-identification with discriminatively trained viewpoint invariant dictionaries S Karanam, Y Li, RJ Radke Proceedings of the IEEE international conference on computer vision, 4516-4524, 2015 | 250 | 2015 |
| Dukemtmc4reid: A large-scale multi-camera person re-identification dataset M Gou, S Karanam, W Liu, O Camps, RJ Radke Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 122 | 2017 |
| Sparse re-id: Block sparsity for person re-identification S Karanam, Y Li, RJ Radke Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 115 | 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 | 114 | 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 | 113 | 2021 |
| 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 | 107 | 2020 |
| 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 | 82 | 2021 |
| 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 |
| 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, RJ Radke, ... IEEE transactions on circuits and systems for video technology 27 (3), 540-553, 2016 | 72 | 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 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 68 | 2018 |
| Preserving privacy in federated learning with ensemble cross-domain knowledge distillation X Gong, A Sharma, S Karanam, Z Wu, T Chen, D Doermann, A Innanje Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11891 …, 2022 | 60 | 2022 |
| A peek into the reasoning of neural networks: Interpreting with structural visual concepts Y Ge, Y Xiao, Z Xu, M Zheng, S Karanam, T Chen, L Itti, Z Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 53 | 2021 |
| Pseudoclick: Interactive image segmentation with click imitation Q Liu, M Zheng, B Planche, S Karanam, T Chen, M Niethammer, Z Wu European Conference on Computer Vision, 728-745, 2022 | 51 | 2022 |
| Towards contactless patient positioning S Karanam, R Li, F Yang, W Hu, T Chen, Z Wu IEEE transactions on medical imaging 39 (8), 2701-2710, 2020 | 47 | 2020 |
| Real-world re-identification in an airport camera network Y Li, Z Wu, S Karanam, RJ Radke Proceedings of the International Conference on Distributed Smart Cameras, 1-6, 2014 | 42 | 2014 |
| Sharpen focus: Learning with attention separability and consistency L Wang, Z Wu, S Karanam, KC Peng, RV Singh, B Liu, DN Metaxas Proceedings of the IEEE/CVF International Conference on Computer Vision, 512-521, 2019 | 41 | 2019 |
| Learning Local RGB-to-CAD Correspondences for Object Pose Estimation G Georgakis, S Karanam, Z Wu, J Kosecka IEEE/CVF International Conference on Computer Vision (ICCV), 2019 | 37* | 2019 |
Ziyan WuUII America, Inc.Verified email at rpi.edu
