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Yongming Rao
Yongming Rao
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Title
Cited by
Cited by
Year
Runtime Neural Pruning
J Lin, Y Rao, J Lu, J Zhou
Advances in Neural Information Processing Systems (NeurIPS) 30, 2178-2188, 2017
5672017
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Y Rao, W Zhao, B Liu, J Lu, J Zhou, CJ Hsieh
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
5292021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
X Yu, L Tang, Y Rao, T Huang, J Zhou, J Lu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19313 …, 2022
4762022
DenseCLIP: Language-Guided Dense Prediction with Context-aware Prompting
Y Rao, W Zhao, G Chen, Y Tang, Z Zhu, G Huang, J Zhou, J Lu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18082 …, 2022
4152022
Global Filter Networks for Image Classification
Y Rao, W Zhao, Z Zhu, J Lu, J Zhou
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
3792021
PoinTr: Diverse Point Cloud Completion with Geometry-aware Transformers
X Yu, Y Rao, Z Wang, Z Liu, J Lu, J Zhou
IEEE/CVF International Conference on Computer Vision (ICCV), 12498-12507, 2021
3792021
Structure-Preserving Super Resolution with Gradient Guidance
C Ma, Y Rao, Y Cheng, C Chen, J Lu, J Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 7769-7778, 2020
3542020
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis
Y Tang, D Ding, Y Rao, Y Zheng, D Zhang, L Zhao, J Lu, J Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1207-1216, 2019
2682019
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo
Y Wei, S Liu, Y Rao, W Zhao, J Lu, J Zhou
IEEE/CVF International Conference on Computer Vision (ICCV), 5610-5619, 2021
2312021
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification
Y Rao, G Chen, J Lu, J Zhou
IEEE/CVF International Conference on Computer Vision (ICCV), 1025-1034, 2021
2302021
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Y Rao, W Zhao, Y Tang, J Zhou, SN Lim, J Lu
Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022
2262022
Attention-aware Deep Reinforcement Learning for Video Face Recognition
Y Rao, J Lu, J Zhou
IEEE International Conference on Computer Vision (ICCV), 3931-3940, 2017
2142017
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
C Ma, Z Jiang, Y Rao, J Lu, J Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5569-5578, 2020
1822020
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
Y Rao, J Lu, J Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 452-460, 2019
1752019
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Y Rao, J Lu, J Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5376-5385, 2020
1362020
Stochastic trajectory prediction via motion indeterminacy diffusion
T Gu, G Chen, J Li, C Lin, Y Rao, J Zhou, J Lu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1322022
Prompt learning with optimal transport for vision-language models
G Chen, W Yao, X Song, X Li, Y Rao, K Zhang
International Conference on Learning Representations (ICLR), 2023, 2022
103*2022
Unleashing text-to-image diffusion models for visual perception
W Zhao, Y Rao, Z Liu, B Liu, J Zhou, J Lu
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
932023
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
Y Wei, Z Wang, Y Rao, J Lu, J Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6954-6963, 2021
912021
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
W Zhao, L Bai, Y Rao, J Zhou, J Lu
Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023
862023
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