| Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations K Li, MI Fathan, K Patel, T Zhang, C Zhong, A Bansal, A Rastogi, JS Wang, ... Plos one 16 (8), e0255809, 2021 | 104 | 2021 |
| A comparative study on polyp classification using convolutional neural networks K Patel, K Li, K Tao, Q Wang, A Bansal, A Rastogi, G Wang PloS one 15 (7), e0236452, 2020 | 71 | 2020 |
| Object detection with convolutional neural networks K Li, W Ma, U Sajid, Y Wu, G Wang Deep Learning in Computer Vision, 41-62, 2020 | 47 | 2020 |
| Sgnet: A super-class guided network for image classification and object detection K Li, NY Wang, Y Yang, G Wang 2021 18th Conference on Robots and Vision (CRV), 127-134, 2021 | 28 | 2021 |
| Robust structured declarative classifiers for 3d point clouds: Defending adversarial attacks with implicit gradients K Li, Z Zhang, C Zhong, G Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Location-aware box reasoning for anchor-based single-shot object detection W Ma, K Li, G Wang Ieee Access 8, 129300-129309, 2020 | 21 | 2020 |
| Accumulated trivial attention matters in vision transformers on small datasets X Chen, Q Hu, K Li, C Zhong, G Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 11 | 2023 |
| Aphid cluster recognition and detection in the wild using deep learning models T Zhang, K Li, X Chen, C Zhong, B Luo, I Grijalva, B McCornack, D Flippo, ... Scientific Reports 13 (1), 13410, 2023 | 8 | 2023 |
| On the real-time semantic segmentation of aphid clusters in the wild R Rahman, C Indris, T Zhang, K Li, B McCornack, D Flippo, A Sharda, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Why layer-wise learning is hard to scale-up and a possible solution via accelerated downsampling W Ma, M Yu, K Li, G Wang 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 8 | 2020 |
| A new dataset and comparative study for aphid cluster detection T Zhang, K Li, X Chen, C Zhong, B Luo, IG Teran, B McCornack, D Flippo, ... arXiv preprint arXiv:2307.05929, 2023 | 4 | 2023 |
| Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations L Kaidong, F Mohammad arXiv preprint arXiv:2104.10824, 2021 | 2 | 2021 |
| Verifying Adversarial Robustness of 3D Object Detectors for Autonomous Vehicles R Dollahite, K Wang, K Li, Y Zhang, Z Zhang 2022 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-4, 2022 | 1 | 2022 |
| Dilated continuous random field for semantic segmentation X Mo, X Chen, C Zhong, R Li, K Li, U Sajid 2022 International Conference on Robotics and Automation (ICRA), 5078-5084, 2022 | 1 | 2022 |
| Robust 3D point clouds classification based on declarative defenders K Li, T Zhang, C Zhong, Z Zhang, G Wang Neural Computing and Applications, 1-13, 2024 | | 2024 |
| A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields R Rahman, C Indris, G Bramesfeld, T Zhang, K Li, X Chen, I Grijalva, ... Journal of Imaging 10 (5), 114, 2024 | | 2024 |
| Robust Structured Declarative Classifiers for Point Clouds Z Zhang, K Li, G Wang Deep Learning For 3d Vision: Algorithms And Applications, 227-255, 2024 | | 2024 |
| An Intelligent System for Insects Detection and Management for Precision Agriculture G Wang, R Rahman, T Zhang, K Li, B McCornack, D Flippo, A Sharda | | |
| A comparative study on polyp classification using convolutional neural networks P Krushi, L Kaidong PloS one 15 (7), 0 | | |
