Yongming Rao

122 papers A* 41Misc 1Journal 74Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient High-Order Spatial Interactions for Visual Perception.
IEEE Trans. Pattern Anal. Mach. Intell.
Zuyan Liu, Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu
2026 J jnl
Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models.
CoRR
Yuhao Dong, Zuyan Liu, Shulin Tian, Yongming Rao, Ziwei Liu
2026 J jnl
Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training.
CoRR
Fangfu Liu, Diankun Wu, Jiawei Chi, Yimo Cai, Yi-Hsin Hung, Xumin Yu, Hao Li, Han Hu, Yongming Rao, Yueqi Duan
2025 J jnl
BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries.
CoRR
Tianle Li, Yongming Rao, Winston Hu, Yu Cheng
2025 J jnl
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs.
CoRR
Yi Zhang, Bolin Ni, Xin-Sheng Chen, Heng-Rui Zhang, Yongming Rao, Houwen Peng, Qinglin Lu, Han Hu, Meng-Hao Guo, Shi-Min Hu
2025 A* conf
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model.
CVPR
Benlin Liu, Yuhao Dong, Yiqin Wang, Zixian Ma, Yansong Tang, Luming Tang, Yongming Rao, Wei-Chiu Ma, Ranjay Krishna
2025 J jnl
GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization.
CoRR
Yikun Wang, Zuyan Liu, Ziyi Wang, Han Hu, Pengfei Liu, Yongming Rao
2025 A* conf
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models.
CVPR
Yuhao Dong, Zuyan Liu, Hai-Long Sun, Jingkang Yang, Winston Hu, Yongming Rao, Ziwei Liu
2025 J jnl
Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment.
CoRR
Zuyan Liu, Yuhao Dong, Jiahui Wang, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao
2025 A* conf
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution.
ICLR
Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao
2025 J jnl
PointMax: Self-Boosted Local Sampling for 3D Point Cloud Analysis.
IEEE Trans. Multim.
Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan
2025 J jnl
R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation.
CoRR
Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shi-Min Hu
2025 A* conf
RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation.
ICML
Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shimin Hu
2025 J jnl
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs.
CoRR
Jiahui Wang, Zuyan Liu, Yongming Rao, Jiwen Lu
2025 J jnl
Transferable Unintentional Action Localization With Language-Guided Intention Translation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu
2025 J jnl
Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model.
CoRR
Tianle Li, Jihai Zhang, Yongming Rao, Yu Cheng
2025 J jnl
Vision Generalist Model: A Survey.
CoRR
Ziyi Wang, Yongming Rao, Shuofeng Sun, Xinrun Liu, Yi Wei, Xumin Yu, Zuyan Liu, Yanbo Wang, Hongmin Liu, Jie Zhou, Jiwen Lu
2025 J jnl
Vision Generalist Model: A Survey.
Int. J. Comput. Vis.
Ziyi Wang, Yongming Rao, Shuofeng Sun, Xinrun Liu, Yi Wei, Xumin Yu, Zuyan Liu, Yanbo Wang, Hongmin Liu, Jie Zhou, Jiwen Lu
2025 J jnl
X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again.
CoRR
Zigang Geng, Yibing Wang, Yeyao Ma, Chen Li, Yongming Rao, Shuyang Gu, Zhao Zhong, Qinglin Lu, Han Hu, Xiaosong Zhang, Linus, Di Wang, Jie Jiang
2024 J jnl
Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models.
CoRR
Zuyan Liu, Yuhao Dong, Yongming Rao, Jie Zhou, Jiwen Lu
2024 J jnl
Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model.
CoRR
Benlin Liu, Yuhao Dong, Yiqin Wang, Yongming Rao, Yansong Tang, Wei-Chiu Ma, Ranjay Krishna
2024 J jnl
DIML: Deep Interpretable Metric Learning via Structural Matching.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenliang Zhao, Yongming Rao, Jie Zhou, Jiwen Lu
2024 — conf
Efficient Inference of Vision Instruction-Following Models with Elastic Cache.
ECCV (17)
Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
2024 J jnl
Efficient Inference of Vision Instruction-Following Models with Elastic Cache.
CoRR
Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
2024 A* conf
Generative Multimodal Models are In-Context Learners.
CVPR
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang
2024 J jnl
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models.
CoRR
Yuhao Dong, Zuyan Liu, Hai-Long Sun, Jingkang Yang, Winston Hu, Yongming Rao, Ziwei Liu
2024 J jnl
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution.
CoRR
Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao
2024 J jnl
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu
2024 J jnl
Procedure-Aware Action Quality Assessment: Datasets and Performance Evaluation.
Int. J. Comput. Vis.
Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu
2024 A* conf
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior.
CVPR
Fangfu Liu, Diankun Wu, Yi Wei, Yongming Rao, Yueqi Duan
2024 J jnl
StableSwap: Stable Face Swapping in a Shared and Controllable Latent Space.
IEEE Trans. Multim.
Yixuan Zhu, Wenliang Zhao, Yansong Tang, Yongming Rao, Jie Zhou, Jiwen Lu
2024 A* conf
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition.
CVPR
Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan
2024 J jnl
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition.
CoRR
Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan
2023 J jnl
3D Point-Voxel Correlation Fields for Scene Flow Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Ziyi Wang, Yi Wei, Yongming Rao, Jie Zhou, Jiwen Lu
2023 J jnl
AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers.
IEEE Trans. Pattern Anal. Mach. Intell.
Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
2023 J jnl
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers.
CoRR
Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
2023 A* conf
DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion.
CVPR
Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu
2023 J jnl
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu
2023 A* conf
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction.
CVPR
Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li
2023 J jnl
GFNet: Global Filter Networks for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongming Rao, Wenliang Zhao, Zheng Zhu, Jie Zhou, Jiwen Lu
2023 J jnl
Generative Multimodal Models are In-Context Learners.
CoRR
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang
2023 A* conf
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models.
ICLR
Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
2023 J jnl
PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongming Rao, Jiwen Lu, Jie Zhou
2023 J jnl
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior.
CoRR
Fangfu Liu, Diankun Wu, Yi Wei, Yongming Rao, Yueqi Duan
2023 A* conf
TCOVIS: Temporally Consistent Online Video Instance Segmentation.
ICCV
Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu
2023 J jnl
TCOVIS: Temporally Consistent Online Video Instance Segmentation.
CoRR
Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu
2023 A* conf
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models.
ICCV
Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
2023 J jnl
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models.
CoRR
Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
2023 A* conf
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models.
NeurIPS
Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
2023 J jnl
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models.
CoRR
Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
2023 A* conf
Unleashing Text-to-Image Diffusion Models for Visual Perception.
ICCV
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
2023 J jnl
Unleashing Text-to-Image Diffusion Models for Visual Perception.
CoRR
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
2022 — conf
AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers.
ECCV (21)
Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu
2022 A* conf
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement.
CVPR
Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu
2022 J jnl
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement.
CoRR
Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu
2022 A* conf
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting.
CVPR
Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
2022 J jnl
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks.
CoRR
Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu
2022 J jnl
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction.
CoRR
Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li
2022 A* conf
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment.
CVPR
Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
2022 J jnl
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment.
CoRR
Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
2022 A* conf
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions.
NeurIPS
Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu
2022 J jnl
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions.
CoRR
Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu
2022 — conf
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection.
ECCV (39)
Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu
2022 J jnl
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection.
CoRR
Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu
2022 A* conf
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting.
NeurIPS
Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
2022 J jnl
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting.
CoRR
Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
2022 A* conf
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling.
CVPR
Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu
2022 J jnl
Prompt Learning with Optimal Transport for Vision-Language Models.
CoRR
Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
2022 A* conf
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation.
CVPR
Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu
2022 J jnl
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation.
CoRR
Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu
2022 A* conf
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion.
CVPR
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
2022 J jnl
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion.
CoRR
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
2022 J jnl
Structure-Preserving Image Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell.
Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou
2022 Misc conf
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation.
CoRL
Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou
2022 J jnl
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation.
CoRR
Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou
2022 J jnl
Video Saliency Forecasting Transformer.
IEEE Trans. Circuits Syst. Video Technol.
Cheng Ma, Haowen Sun, Yongming Rao, Jie Zhou, Jiwen Lu
2022 J jnl
VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning.
IEEE Trans. Image Process.
Wenliang Zhao, Yongming Rao, Yansong Tang, Jie Zhou, Jiwen Lu
2021 A* conf
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification.
ICCV
Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
2021 J jnl
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification.
CoRR
Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
2021 J jnl
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting.
CoRR
Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
2021 A* conf
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification.
NeurIPS
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2021 J jnl
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification.
CoRR
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2021 A* conf
Global Filter Networks for Image Classification.
NeurIPS
Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou
2021 J jnl
Global Filter Networks for Image Classification.
CoRR
Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou
2021 A* conf
Group-aware Contrastive Regression for Action Quality Assessment.
ICCV
Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou
2021 J jnl
Group-aware Contrastive Regression for Action Quality Assessment.
CoRR
Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou
2021 A* conf
Multi-Proxy Wasserstein Classifier for Image Classification.
AAAI
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2021 J jnl
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results.
CoRR
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
2021 A* conf
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo.
ICCV
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou
2021 J jnl
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo.
CoRR
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou
2021 A* conf
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds.
CVPR
Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou
2021 A* conf
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers.
ICCV
Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou
2021 J jnl
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers.
CoRR
Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou
2021 J jnl
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling.
CoRR
Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu
2021 A* conf
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection.
ICCV
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
2021 J jnl
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection.
CoRR
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
2021 J jnl
Structure-Preserving Image Super-Resolution.
CoRR
Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou
2021 A* conf
Towards Interpretable Deep Metric Learning with Structural Matching.
ICCV
Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
2021 J jnl
Towards Interpretable Deep Metric Learning with Structural Matching.
CoRR
Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
2020 A* conf
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation.
CVPR
Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou
2020 J jnl
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation.
CoRR
Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou
2020 A* conf
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds.
CVPR
Yongming Rao, Jiwen Lu, Jie Zhou
2020 J jnl
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds.
CoRR
Yongming Rao, Jiwen Lu, Jie Zhou
2020 — conf
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation.
ECCV (14)
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2020 J jnl
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation.
CoRR
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2020 J jnl
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds.
CoRR
Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou
2020 A* conf
Structure-Preserving Super Resolution With Gradient Guidance.
CVPR
Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou
2020 J jnl
Structure-Preserving Super Resolution with Gradient Guidance.
CoRR
Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou
2020 — conf
Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification?
ECCV (8)
Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou
2020 J jnl
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
Yuetong Luo, Jingshuai Bian, Meng Zhang, Yongming Rao, Feng Yan
2019 A* conf
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis.
CVPR
Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
2019 J jnl
COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis.
CoRR
Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
2019 J jnl
Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification.
Int. J. Comput. Vis.
Yongming Rao, Jiwen Lu, Jie Zhou
2019 J jnl
P
CoRR
Peiyu Yu, Yongming Rao, Jiwen Lu, Jie Zhou
2019 J jnl
Runtime Network Routing for Efficient Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongming Rao, Jiwen Lu, Ji Lin, Jie Zhou
2019 A* conf
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition.
CVPR
Yongming Rao, Jiwen Lu, Jie Zhou
2019 J jnl
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
Yongming Rao, Yankong Zhang, Wenjun Xie, Lu Liu, Xinyue Liu, Yuetong Luo
2018 A* conf
Learning Globally Optimized Object Detector via Policy Gradient.
CVPR
Yongming Rao, Dahua Lin, Jiwen Lu, Jie Zhou
2017 A* conf
Attention-Aware Deep Reinforcement Learning for Video Face Recognition.
ICCV
Yongming Rao, Jiwen Lu, Jie Zhou
2017 A* conf
Learning Discriminative Aggregation Network for Video-Based Face Recognition.
ICCV
Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou
2017 — conf
Runtime Neural Pruning.
NIPS
Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou
2017 A* conf
V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints.
ICDE
Bilong Shen, Ying Zhao, Guoliang Li, Weimin Zheng, Yue Qin, Bo Yuan, Yongming Rao