| Recent advances in deep learning for object detection X Wu, D Sahoo, SCH Hoi Neurocomputing 396, 39-64, 2020 | 853 | 2020 |
| Class re-activation maps for weakly-supervised semantic segmentation Z Chen, T Wang, X Wu, XS Hua, H Zhang, Q Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 120 | 2022 |
| Logo-net: Large-scale deep logo detection and brand recognition with deep region-based convolutional networks SCH Hoi, X Wu, H Liu, Y Wu, H Wang, H Xue, Q Wu arXiv preprint arXiv:1511.02462, 2015 | 104 | 2015 |
| Feature agglomeration networks for single stage face detection J Zhang, X Wu, SCH Hoi, J Zhu Neurocomputing 380, 180-189, 2020 | 98 | 2020 |
| FoodAI: Food image recognition via deep learning for smart food logging D Sahoo, W Hao, S Ke, W Xiongwei, H Le, P Achananuparp, EP Lim, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 90 | 2019 |
| Meta-rcnn: Meta learning for few-shot object detection X Wu, D Sahoo, S Hoi Proceedings of the 28th ACM International Conference on Multimedia, 1679-1687, 2020 | 67 | 2020 |
| A large-scale benchmark for food image segmentation X Wu, X Fu, Y Liu, EP Lim, SCH Hoi, Q Sun Proceedings of the 29th ACM international conference on multimedia, 506-515, 2021 | 55 | 2021 |
| Single-shot bidirectional pyramid networks for high-quality object detection X Wu, D Sahoo, D Zhang, J Zhu, SCH Hoi Neurocomputing 401, 1-9, 2020 | 40 | 2020 |
| Polarnet: Learning to optimize polar keypoints for keypoint based object detection W Xiongwei, D Sahoo, HOI Steven International Conference on Learning Representations, 2020 | 8 | 2020 |
| OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation X Wu, S Yu, EP Lim, CW Ngo arXiv preprint arXiv:2404.01409, 2024 | | 2024 |
| Attention-based Feature Aggregation X Wu, EP Lim, HOI Steven, Q Sun | | 2021 |
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg
