Yongming Rao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 95

Top Topics

Face Recognition

Object Detection

Diffusion Models

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yixuan Zhu, Wenliang Zhao, Yansong Tang, Yongming Rao, Jie Zhou, Jiwen Lu
StableSwap: Stable Face Swapping in a Shared and Controllable Latent Space. IEEE Trans. Multim. 26 (2024)
Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
Efficient Inference of Vision Instruction-Following Models with Elastic Cache. CoRR (2024)
Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Wenliang Zhao, Yongming Rao, Jie Zhou, Jiwen Lu
DIML: Deep Interpretable Metric Learning via Structural Matching. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition. CoRR (2024)
Zuyan Liu, Yuhao Dong, Yongming Rao, Jie Zhou, Jiwen Lu
Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models. CoRR (2024)
Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu
DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion. CVPR (2023)
Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. CoRR (2023)
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
Unleashing Text-to-Image Diffusion Models for Visual Perception. ICCV (2023)
Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. ICCV (2023)
Yongming Rao, Wenliang Zhao, Zheng Zhu, Jie Zhou, Jiwen Lu
GFNet: Global Filter Networks for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers. CoRR (2023)
Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. CoRR (2023)
Fangfu Liu, Diankun Wu, Yi Wei, Yongming Rao, Yueqi Duan
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior. CoRR (2023)
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang
Generative Multimodal Models are In-Context Learners. CoRR (2023)
Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. CVPR (2023)
Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu
TCOVIS: Temporally Consistent Online Video Instance Segmentation. ICCV (2023)
Ziyi Wang, Yi Wei, Yongming Rao, Jie Zhou, Jiwen Lu
3D Point-Voxel Correlation Fields for Scene Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. NeurIPS (2023)
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
Unleashing Text-to-Image Diffusion Models for Visual Perception. CoRR (2023)
Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. ICLR (2023)
Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu
TCOVIS: Temporally Consistent Online Video Instance Segmentation. CoRR (2023)
Yongming Rao, Jiwen Lu, Jie Zhou
PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. CoRR (2022)
Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. CoRR (2022)
Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CVPR (2022)
Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu
AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. ECCV (21) (2022)
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CVPR (2022)
Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. CoRR (2022)
Wenliang Zhao, Yongming Rao, Yansong Tang, Jie Zhou, Jiwen Lu
VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning. IEEE Trans. Image Process. 31 (2022)
Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. CoRR (2022)
Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. ECCV (39) (2022)
Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CoRR (2022)
Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CVPR (2022)
Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CVPR (2022)
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CoRR (2022)
Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
Prompt Learning with Optimal Transport for Vision-Language Models. CoRR (2022)
Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CoRR (2022)
Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. NeurIPS (2022)
Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. CoRL (2022)
Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou
Structure-Preserving Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Cheng Ma, Haowen Sun, Yongming Rao, Jie Zhou, Jiwen Lu
Video Saliency Forecasting Transformer. IEEE Trans. Circuits Syst. Video Technol. 32 (10) (2022)
Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. NeurIPS (2022)
Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. CoRR (2022)
Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. CoRR (2022)
Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. CoRR (2022)
Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CVPR (2022)
Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. CVPR (2022)
Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou
Group-aware Contrastive Regression for Action Quality Assessment. ICCV (2021)
Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. ICCV (2021)
Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. ICCV (2021)
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
Multi-Proxy Wasserstein Classifier for Image Classification. AAAI (2021)
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. CoRR (2021)
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. CoRR (2021)
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. NeurIPS (2021)
Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
Towards Interpretable Deep Metric Learning with Structural Matching. CoRR (2021)
Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou
Structure-Preserving Image Super-Resolution. CoRR (2021)
Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CoRR (2021)
Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou
Global Filter Networks for Image Classification. NeurIPS (2021)
Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou
Group-aware Contrastive Regression for Action Quality Assessment. CoRR (2021)
Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. CoRR (2021)
Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. CoRR (2021)
Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou
Global Filter Networks for Image Classification. CoRR (2021)
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. CoRR (2021)
Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. CVPR (2021)
Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
Towards Interpretable Deep Metric Learning with Structural Matching. ICCV (2021)
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. ICCV (2021)
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. ICCV (2021)
Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CoRR (2021)
Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. CoRR (2021)
Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou
Structure-Preserving Super Resolution with Gradient Guidance. CoRR (2020)
Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation. CoRR (2020)
Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation. CVPR (2020)
Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou
Structure-Preserving Super Resolution With Gradient Guidance. CVPR (2020)
Yongming Rao, Jiwen Lu, Jie Zhou
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. CVPR (2020)
Yuetong Luo, Jingshuai Bian, Meng Zhang, Yongming Rao, Feng Yan
基于卷积去噪自编码器的芯片表面弱缺陷检测方法 (Detection Method of Chip Surface Weak Defect Based on Convolution Denoising Auto-encoders). 计算机科学 47 (2) (2020)
Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. CoRR (2020)
Yongming Rao, Jiwen Lu, Jie Zhou
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. CoRR (2020)
Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou
Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification? ECCV (8) (2020)
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. ECCV (14) (2020)
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. CoRR (2020)
Yongming Rao, Jiwen Lu, Jie Zhou
Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification. Int. J. Comput. Vis. 127 (6-7) (2019)
Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis. CVPR (2019)
Yongming Rao, Jiwen Lu, Ji Lin, Jie Zhou
Runtime Network Routing for Efficient Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 41 (10) (2019)
Peiyu Yu, Yongming Rao, Jiwen Lu, Jie Zhou
GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation. CoRR (2019)
Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis. CoRR (2019)
Yongming Rao, Jiwen Lu, Jie Zhou
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition. CVPR (2019)
Yongming Rao, Yankong Zhang, Wenjun Xie, Lu Liu, Xinyue Liu, Yuetong Luo
交通事故时空模式可视分析方法 (Visual Analysis Method of Traffic Accident Spatial-Temporal Pattern). 计算机科学 46 (4) (2019)
Yongming Rao, Dahua Lin, Jiwen Lu, Jie Zhou
Learning Globally Optimized Object Detector via Policy Gradient. CVPR (2018)
Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou
Learning Discriminative Aggregation Network for Video-Based Face Recognition. ICCV (2017)
Bilong Shen, Ying Zhao, Guoliang Li, Weimin Zheng, Yue Qin, Bo Yuan, Yongming Rao
V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints. ICDE (2017)
Yongming Rao, Jiwen Lu, Jie Zhou
Attention-Aware Deep Reinforcement Learning for Video Face Recognition. ICCV (2017)
Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou
Runtime Neural Pruning. NIPS (2017)