| Detnas: Backbone search for object detection Y Chen, T Yang, X Zhang, G Meng, X Xiao, J Sun Advances in Neural Information Processing Systems (NeurIPS), 2019 | 307* | 2019 |
| Renas: Reinforced evolutionary neural architecture search Y Chen, G Meng, Q Zhang, S Xiang, C Huang, L Mu, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4787-4796, 2019 | 132* | 2019 |
| Learning dynamic routing for semantic segmentation Y Li, L Song, Y Chen, Z Li, X Zhang, X Wang, J Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8553-8562, 2020 | 120 | 2020 |
| Scale-aware Automatic Augmentations for Object Detection with Dynamic Training Y Chen, P Zhang, T Kong, Y Li, X Zhang, L Qi, J Sun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 | 62* | 2022 |
| Focal Sparse Convolutional Networks for 3D Object Detection Y Chen, Y Li, X Zhang, J Sun, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5428-5437, 2022 | 40 | 2022 |
| Multi-Scale Aligned Distillation for Low-Resolution Detection L Qi, J Kuen, J Gu, Z Lin, Y Wang, Y Chen, Y Li, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 14443-14453, 2021 | 30 | 2021 |
| Joint neural architecture search and quantization Y Chen, G Meng, Q Zhang, X Zhang, L Song, S Xiang, C Pan arXiv preprint arXiv:1811.09426, 2018 | 26 | 2018 |
| Pointins: Point-based instance segmentation L Qi, Y Wang, Y Chen, YC Chen, X Zhang, J Sun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 | 23 | 2021 |
| Scale-aware automatic augmentation for object detection Y Chen, Y Li, T Kong, L Qi, R Chu, L Li, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9563-9572, 2021 | 21 | 2021 |
| Fully convolutional networks for panoptic segmentation with point-based supervision Y Li, H Zhao, X Qi, Y Chen, L Qi, L Wang, Z Li, J Sun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 20 | 2022 |
| EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search J Fang, Y Chen, X Zhang, Q Zhang, C Huang, G Meng, W Liu, X Wang Science China Information Sciences (SCIS), 2019 | 18 | 2019 |
| Voxel Field Fusion for 3D Object Detection Y Li, X Qi, Y Chen, L Wang, Z Li, J Sun, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1120-1129, 2022 | 14 | 2022 |
| LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs Y Chen, J Liu, X Zhang, X Qi, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 10* | 2023 |
| Icm-3d: Instantiated category modeling for 3d instance segmentation R Chu, Y Chen, T Kong, L Qi, L Li IEEE Robotics and Automation Letters 7 (1), 57-64, 2021 | 9 | 2021 |
| Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track Z Li, Y Ma, Y Chen, X Zhang, J Sun IEEE International Conference on Computer Vision Workshop (ICCV Workshop), 2020 | 4 | 2020 |
| Spatial Pruned Sparse Convolution for Efficient 3D Object Detection J Liu, Y Chen, X Ye, Z Tian, X Tan, X Qi Advances in Neural Information Processing Systems (NeurIPS), 2022 | 3 | 2022 |
| VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking Y Chen, J Liu, X Zhang, X Qi, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | | 2023 |
Xiangyu ZhangPrincipal Researcher, MEGVII TechnologyVerified email at megvii.com
