| Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection X Du, M El-Khamy, J Lee, L Davis 2017 IEEE winter conference on applications of computer vision (WACV), 953-961, 2017 | 360 | 2017 |
| Revisiting resnets: Improved training and scaling strategies I Bello, W Fedus, X Du, ED Cubuk, A Srinivas, TY Lin, J Shlens, B Zoph Advances in Neural Information Processing Systems 34, 22614-22627, 2021 | 346 | 2021 |
| Spinenet: Learning scale-permuted backbone for recognition and localization X Du, TY Lin, P Jin, G Ghiasi, M Tan, Y Cui, QV Le, X Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 247 | 2020 |
| A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation W Chen, X Du, F Yang, L Beyer, X Zhai, TY Lin, H Chen, J Li, X Song, ... | 221* | 2022 |
| Ferret: Refer and ground anything anywhere at any granularity H You, H Zhang, Z Gan, X Du, B Zhang, Z Wang, L Cao, SF Chang, ... arXiv preprint arXiv:2310.07704, 2023 | 145 | 2023 |
| Mm1: Methods, analysis & insights from multimodal llm pre-training B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ... arXiv preprint arXiv:2403.09611, 2024 | 100 | 2024 |
| Cyber-physical system enabled nearby traffic flow modelling for autonomous vehicles B Chen, Z Yang, S Huang, X Du, Z Cui, J Bhimani, X Xie, N Mi 2017 IEEE 36th international performance computing and communications …, 2017 | 99 | 2017 |
| TensorFlow model garden H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ... Model Garden for TensorFlow., 2020 | 98 | 2020 |
| System and method for deep network fusion for fast and robust object detection M El-Khamy, X Du, J Lee US Patent 10,657,364, 2020 | 74 | 2020 |
| Amnet: Deep atrous multiscale stereo disparity estimation networks X Du, M El-Khamy, J Lee arXiv preprint arXiv:1904.09099, 2019 | 56 | 2019 |
| Fused deep neural networks for efficient pedestrian detection X Du, M El-Khamy, VI Morariu, J Lee, L Davis arXiv preprint arXiv:1805.08688, 2018 | 44 | 2018 |
| Guiding instruction-based image editing via multimodal large language models TJ Fu, W Hu, X Du, WY Wang, Y Yang, Z Gan arXiv preprint arXiv:2309.17102, 2023 | 41 | 2023 |
| Simple training strategies and model scaling for object detection X Du, B Zoph, WC Hung, TY Lin arXiv preprint arXiv:2107.00057, 2021 | 41 | 2021 |
| Auto-scaling vision transformers without training W Chen, W Huang, X Du, X Song, Z Wang, D Zhou arXiv preprint arXiv:2202.11921, 2022 | 30 | 2022 |
| Development of Dose‐Response Models to Predict the Relationship for Human Toxoplasma gondii Infection Associated with Meat Consumption M Guo, A Mishra, RL Buchanan, JP Dubey, DE Hill, HR Gamble, JL Jones, ... Risk Analysis 36 (5), 926-938, 2016 | 25 | 2016 |
| Towards a unified foundation model: Jointly pre-training transformers on unpaired images and text Q Li, B Gong, Y Cui, D Kondratyuk, X Du, MH Yang, M Brown arXiv preprint arXiv:2112.07074, 2021 | 24 | 2021 |
| Adamv-moe: Adaptive multi-task vision mixture-of-experts T Chen, X Chen, X Du, A Rashwan, F Yang, H Chen, Z Wang, Y Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 22 | 2023 |
| Revisiting 3d resnets for video recognition X Du, Y Li, Y Cui, R Qian, J Li, I Bello arXiv preprint arXiv:2109.01696, 2021 | 22 | 2021 |
| Provable stochastic optimization for global contrastive learning: Small batch does not harm performance Z Yuan, Y Wu, ZH Qiu, X Du, L Zhang, D Zhou, T Yang International Conference on Machine Learning, 25760-25782, 2022 | 21 | 2022 |
| From scarcity to efficiency: Improving clip training via visual-enriched captions Z Lai, H Zhang, W Wu, H Bai, A Timofeev, X Du, Z Gan, J Shan, ... arXiv preprint arXiv:2310.07699, 2023 | 20 | 2023 |
Mostafa El-KhamyAlexandria UniversityVerified email at alexu.edu.eg
