M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network Q Zhao, T Sheng, Y Wang, Z Tang, Y Chen, L Cai, H Ling AAAI, 2019 | 923 | 2019 |
Infrared patch-image model for small target detection in a single image C Gao, D Meng, Y Yang, Y Wang, X Zhou, AG Hauptmann IEEE transactions on image processing 22 (12), 4996-5009, 2013 | 876 | 2013 |
CBNet: A novel composite backbone network architecture for object detection Y Liu, Y Wang, S Wang, TT Liang, Q Zhao, Z Tang, H Ling AAAI, 2020 | 291 | 2020 |
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework T Liang, H Xie, K Yu, Z Xia, Z Lin, Y Wang, T Tang, B Wang, Z Tang NeurIPS, 2022 | 223 | 2022 |
DADA: Differentiable Automatic Data Augmentation Y Li, G Hu, Y Wang, T Hospedales, NM Robertson, Y Yang European Conference on Computer Vision, 2020, 580-595, 2020 | 175* | 2020 |
CBNet: A composite backbone network architecture for object detection T Liang, X Chu, Y Liu, Y Wang, Z Tang, W Chu, J Chen, H Ling IEEE Transactions on Image Processing 31, 6893-6906, 2022 | 166 | 2022 |
Visdrone-det2018: The vision meets drone object detection in image challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 163 | 2018 |
SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment Sheng Yang, Qiuping Jiang, Weisi Lin and Yongtao Wang ACM international conference on Multimedia, 2019 | 138 | 2019 |
VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, H Wu, Q Nie, H Cheng, C Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 76 | 2018 |
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes H Huang, Y Wang, Z Chen, Y Li, Z Tang, W Chu, J Chen, W Lin, KK Ma AAAI 2022, 2022 | 67 | 2022 |
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection T Liang, Y Wang, Z Tang, G Hu, H Ling CVPR, 2021 | 58 | 2021 |
A Faster R-CNN based Method for Comic Characters Face Detection Xiaoran Qin, Yafeng Zhou, Zheqi He, Yongtao Wang, Zhi Tang ICDAR 2017, 1074-1080, 2017 | 51* | 2017 |
Cfenet: An accurate and efficient single-shot object detector for autonomous driving Q Zhao, T Sheng, Y Wang, F Ni, L Cai arXiv preprint arXiv:1806.09790, 2018 | 47 | 2018 |
Structure extraction from PDF-based book documents L Gao, Z Tang, X Lin, Y Liu, R Qiu, Y Wang Proceedings of the 11th annual international ACM/IEEE joint conference on …, 2011 | 47 | 2011 |
Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma IEEE Transaction on Image Processing 29, 8842-8854, 2020 | 42 | 2020 |
Automatic comic page segmentation based on polygon detection L Li, Y Wang, Z Tang, L Gao Multimedia Tools and Applications 69, 171-197, 2014 | 39 | 2014 |
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection K Yu, T Tao, H Xie, Z Lin, Z Wu, Z Xia, T Liang, H Sun, J Deng, D Hao, ... CVPRW, 2023 | 37 | 2023 |
RPATTACK: REFINED PATCH ATTACK ON GENERAL OBJECT DETECTORS H Huang, Y Wang, Z Chen, Z Tang, W Zhang, KK Ma ICME, 2021 | 33 | 2021 |
T-sea: Transfer-based self-ensemble attack on object detection H Huang, Z Chen, H Chen, Y Wang, K Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 32 | 2023 |
A quadrilateral scene text detector with two-stage network architecture S Wang, Y Liu, Z He, Y Wang, Z Tang Pattern Recognition 102, 107230, 2020 | 32 | 2020 |