| Lednet: A lightweight encoder-decoder network for real-time semantic segmentation Y Wang, Q Zhou, J Liu, J Xiong, G Gao, X Wu, LJ Latecki 2019 IEEE international conference on image processing (ICIP), 1860-1864, 2019 | 452 | 2019 |
| Multi-scale deep context convolutional neural networks for semantic segmentation Q Zhou, W Yang, G Gao, W Ou, H Lu, J Chen, LJ Latecki World Wide Web 22, 555-570, 2019 | 133 | 2019 |
| AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network Q Zhou, Y Wang, Y Fan, X Wu, S Zhang, B Kang, LJ Latecki applied soft computing 96, 106682, 2020 | 107 | 2020 |
| Improving medical images classification with label noise using dual-uncertainty estimation L Ju, X Wang, L Wang, D Mahapatra, X Zhao, Q Zhou, T Liu, Z Ge IEEE transactions on medical imaging 41 (6), 1533-1546, 2022 | 105 | 2022 |
| ESNet: An efficient symmetric network for real-time semantic segmentation Y Wang, Q Zhou, J Xiong, X Wu, X Jin Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV …, 2019 | 105 | 2019 |
| Adaptive top-hat filter based on quantum genetic algorithm for infrared small target detection L Deng, H Zhu, Q Zhou, Y Li Multimedia Tools and Applications 77, 10539-10551, 2018 | 95 | 2018 |
| Contextual ensemble network for semantic segmentation Q Zhou, X Wu, S Zhang, B Kang, Z Ge, LJ Latecki Pattern Recognition 122, 108290, 2022 | 84 | 2022 |
| FDDWNet: a lightweight convolutional neural network for real-time semantic segmentation J Liu, Q Zhou, Y Qiang, B Kang, X Wu, B Zheng ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 78 | 2020 |
| Fast dynamic routing based on weighted kernel density estimation S Zhang, Q Zhou, X Wu International symposium on artificial intelligence and robotics, 301-309, 2018 | 78 | 2018 |
| Multi-scale context for scene labeling via flexible segmentation graph Q Zhou, B Zheng, W Zhu, LJ Latecki Pattern Recognition 59, 312-324, 2016 | 65 | 2016 |
| Robust discriminative nonnegative dictionary learning for occluded face recognition W Ou, X Luan, J Gou, Q Zhou, W Xiao, X Xiong, W Zeng Pattern Recognition Letters 107, 41-49, 2018 | 57 | 2018 |
| Sgunet: Semantic guided unet for thyroid nodule segmentation H Pan, Q Zhou, LJ Latecki 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 630-634, 2021 | 55 | 2021 |
| Depth map reconstruction for underwater Kinect camera using inpainting and local image mode filtering H Lu, Y Zhang, Y Li, Q Zhou, R Tadoh, T Uemura, H Kim, S Serikawa IEEE Access 5, 7115-7122, 2017 | 54 | 2017 |
| Entropy minimization versus diversity maximization for domain adaptation X Wu, S Zhang, Q Zhou, Z Yang, C Zhao, LJ Latecki IEEE Transactions on Neural Networks and Learning Systems 34 (6), 2896-2907, 2021 | 53 | 2021 |
| LAEDNet: a lightweight attention encoder–decoder network for ultrasound medical image segmentation Q Zhou, Q Wang, Y Bao, L Kong, X Jin, W Ou Computers and Electrical Engineering 99, 107777, 2022 | 48 | 2022 |
| Joint semantic-instance segmentation method for intelligent transportation system Y Li, J Cai, Q Zhou, H Lu IEEE Transactions on Intelligent Transportation Systems 24 (12), 15540-15547, 2022 | 38 | 2022 |
| An open-source project for real-time image semantic segmentation. Q Zhou, Y Wang, J Liu, X Jin, LJ Latecki Sci. China Inf. Sci. 62 (12), 227101, 2019 | 33 | 2019 |
| DPNet: Dual-path network for real-time object detection with lightweight attention Q Zhou, H Shi, W Xiang, B Kang, LJ Latecki IEEE Transactions on Neural Networks and Learning Systems, 2024 | 32 | 2024 |
| Banet: Boundary-assistant encoder-decoder network for semantic segmentation Q Zhou, Y Qiang, Y Mo, X Wu, LJ Latecki IEEE Transactions on Intelligent Transportation Systems 23 (12), 25259-25270, 2022 | 31 | 2022 |
| Visual object tracking with online sample selection via lasso regularization Q Liu, X Ma, W Ou, Q Zhou Signal, Image and Video Processing 11, 881-888, 2017 | 25 | 2017 |
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaVerified email at temple.edu