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Yukang Chen
Yukang Chen
Research Scientist, NVIDIA
Email confirmado em nvidia.com - Página inicial
Título
Citado por
Citado por
Ano
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
400*2019
Lisa: Reasoning segmentation via large language model
X Lai, Z Tian, Y Chen, Y Li, Y Yuan, S Liu, J Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
2422024
Openpcdet: An open-source toolbox for 3d object detection from point clouds
OD Team
2412020
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
2162022
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
1962020
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
1932023
Longlora: Efficient fine-tuning of long-context large language models
Y Chen, S Qian, H Tang, X Lai, Z Liu, S Han, J Jia
International Conference on Learning Representations (ICLR), 2024
1782024
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
174*2019
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
135*2022
Spherical Transformer for LiDAR-based 3D Recognition
X Lai, Y Chen, F Lu, J Liu, J Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
1162023
Grounded sam: Assembling open-world models for diverse visual tasks
T Ren, S Liu, A Zeng, J Lin, K Li, H Cao, J Chen, X Huang, Y Chen, F Yan, ...
arXiv preprint arXiv:2401.14159, 2024
1132024
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
109*2023
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
892022
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
732021
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 45 (4), 4552-4568, 2022
552022
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
482021
FocalFormer3D: Focusing on Hard Instance for 3D Object Detection
Y Chen, Z Yu, Y Chen, S Lan, A Anandkumar, J Jia, J Alvarez
IEEE International Conference on Computer Vision (ICCV), 2023
442023
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
362018
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
352021
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
312022
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