| Finding Task-relevant Features for Few-shot Learning by Category Traversal H Li, D Eigen, S Dodge, M Zeiler, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Oral, 2019 | 358 | 2019 |
| BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers Z Li, W Wang, H Li, E Xie, C Sima, T Lu, Q Yu, J Dai European Conference on Computer Vision (ECCV), 2022 | 317 | 2022 |
| Inner and Inter Label Propagation: Salient Object Detection in the Wild H Li, H Lu, Z Lin, X Shen, B Price IEEE Transactions on Image Processing 24 (10), 3176-3186, 2015 | 213 | 2015 |
| Rethinking Feature Discrimination and Polymerization for Large-scale Recognition Y Liu, H Li, X Wang Advances in Neural Information Processing Systems (NIPS) Deep Learning Workshop, 2017 | 190* | 2017 |
| DeepID-Net: Object detection with deformable part based convolutional neural networks W Ouyang, X Zeng, X Wang, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1320-1334, 2016 | 150 | 2016 |
| Dual Deep Network for Visual Tracking Z Chi, H Li, H Lu, MH Yang IEEE Transactions on Image Processing 26 (4), 2005-2015, 2017 | 128 | 2017 |
| CNN for Saliency Detection with Low-level Feature Integration H Li, J Chen, H Lu, Z Chi Neurocomputing 226, 212-220, 2017 | 116* | 2017 |
| Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection H Li, Y Liu, W Ouyang, X Wang International Journal of Computer Vision (IJCV), 2018 | 112* | 2018 |
| Recurrent Scale Approximation for Object Detection in CNN Y Liu, H Li, J Yan, F Wei, X Wang, X Tang IEEE International Conference on Computer Vision (ICCV), 2017 | 103 | 2017 |
| Multi-bias Non-linear Activation in Deep Neural Networks H Li, W Ouyang, X Wang International Conference on Machine Learning (ICML), 2016 | 72 | 2016 |
| Monocular 3d object detection: An extrinsic parameter free approach Y Zhou, Y He, H Zhu, C Wang, H Li, Q Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 64 | 2021 |
| Neural Network Encapsulation H Li, X Guo, B Dai, W Ouyang, X Wang European Conference on Computer Vision (ECCV), 2018 | 61 | 2018 |
| PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark L Chen, C Sima, Y Li, Z Zheng, J Xu, X Geng, H Li, C He, J Shi, Y Qiao, ... European Conference on Computer Vision (ECCV) Oral, 2022 | 52 | 2022 |
| ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning S Hu, L Chen, P Wu, H Li, J Yan, D Tao European Conference on Computer Vision (ECCV), 2022 | 37 | 2022 |
| Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline P Wu, X Jia, L Chen, J Yan, H Li, Y Qiao NeurIPS 2022, 2022 | 35 | 2022 |
| Planning-oriented Autonomous Driving Y Hu, J Yang, L Chen, K Li, C Sima, X Zhu, S Chai, S Du, T Lin, W Wang, ... IEEE/CVF Computer Vision and Pattern Recognition (CVPR) Best Paper, 2023 | 34 | 2023 |
| BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision C Yang, Y Chen, H Tian, C Tao, X Zhu, Z Zhang, G Huang, H Li, Y Qiao, ... IEEE/CVF Computer Vision and Pattern Recognition (CVPR) Highlight, 2023 | 29 | 2023 |
| Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe H Li, C Sima, J Dai, W Wang, L Lu, H Wang, E Xie, Z Li, H Deng, H Tian, ... arXiv preprint arXiv:2209.05324, 2022 | 28 | 2022 |
| Learning Deep Representation With Large-Scale Attributes W Ouyang, H Li, X Zeng, X Wang IEEE International Conference on Computer Vision (ICCV), 2015 | 28 | 2015 |
| HDGT: Heterogeneous Driving Graph Transformer for Multi-agent Trajectory Prediction via Scene Encoding X Jia, P Wu, L Chen, H Li, Y Liu, J Yan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 24 | 2023 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CASПодтвержден адрес электронной почты в домене siat.ac.cn
