Attention-Aware Deep Reinforcement Learning for Video Face Recognition. - Yongming Rao; Jiwen Lu; Jie Zhou 001 (ICCV, 2017)

Learning Discriminative Aggregation Network for Video-Based Face Recognition. - Yongming Rao; Ji Lin 002; Jiwen Lu; Jie Zhou 001 (ICCV, 2017)

V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints. - Bilong Shen; Ying Zhao; Guoliang Li 001; Weimin Zheng; Yue Qin; Bo Yuan; Yongming Rao (ICDE, 2017)

Runtime Neural Pruning. - Ji Lin 002; Yongming Rao; Jiwen Lu; Jie Zhou 001 (NIPS, 2017)

Learning Globally Optimized Object Detector via Policy Gradient. - Yongming Rao; Dahua Lin; Jiwen Lu; Jie Zhou 001 (CVPR, 2018)

Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition. - Yongming Rao; Jiwen Lu; Jie Zhou 001 (CVPR, 2019)

COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis. - Yansong Tang; Dajun Ding; Yongming Rao; Yu Zheng 015; Danyang Zhang; Lili Zhao; Jiwen Lu; Jie Zhou 001 (CVPR, 2019)

P2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation. - Peiyu Yu; Yongming Rao; Jiwen Lu; Jie Zhou 001 (CoRR, 2019)

Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification. - Yongming Rao; Jiwen Lu; Jie Zhou 001 (Int. J. Comput. Vis., 2019)

交通事故时空模式可视分析方法 (Visual Analysis Method of Traffic Accident Spatial-Temporal Pattern). - Yongming Rao; Yankong Zhang; Wenjun Xie; Lu Liu; Xinyue Liu; Yuetong Luo (计算机科学, 2019)

Runtime Network Routing for Efficient Image Classification. - Yongming Rao; Jiwen Lu; Ji Lin 002; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation. - Cheng Ma; Zhenyu Jiang 002; Yongming Rao; Jiwen Lu; Jie Zhou 001 (CVPR, 2020)

Structure-Preserving Super Resolution With Gradient Guidance. - Cheng Ma; Yongming Rao; Yean Cheng; Ce Chen; Jiwen Lu; Jie Zhou 001 (CVPR, 2020)

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. - Yongming Rao; Jiwen Lu; Jie Zhou 001 (CVPR, 2020)

Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification? - Guangyi Chen 002; Yongming Rao; Jiwen Lu; Jie Zhou 001 (ECCV (8), 2020)

MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. - Benlin Liu; Yongming Rao; Jiwen Lu; Jie Zhou 001; Cho-Jui Hsieh (ECCV (14), 2020)

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). - Yuetong Luo; Jingshuai Bian; Meng Zhang; Yongming Rao; Feng Yan (计算机科学, 2020)

Multi-Proxy Wasserstein Classifier for Image Classification. - Benlin Liu; Yongming Rao; Jiwen Lu; Jie Zhou 001; Cho-Jui Hsieh (AAAI, 2021)

PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. - Yi Wei 003; Ziyi Wang 007; Yongming Rao; Jiwen Lu; Jie Zhou 001 (CVPR, 2021)

Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. - Yongming Rao; Guangyi Chen 002; Jiwen Lu; Jie Zhou 001 (ICCV, 2021)

RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. - Yongming Rao; Benlin Liu; Yi Wei 003; Jiwen Lu; Cho-Jui Hsieh; Jie Zhou 001 (ICCV, 2021)

NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. - Yi Wei 003; Shaohui Liu; Yongming Rao; Wang Zhao 001; Jiwen Lu; Jie Zhou 001 (ICCV, 2021)

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. - Xumin Yu; Yongming Rao; Ziyi Wang 007; Zuyan Liu; Jiwen Lu; Jie Zhou 001 (ICCV, 2021)

Group-aware Contrastive Regression for Action Quality Assessment. - Xumin Yu; Yongming Rao; Wenliang Zhao; Jiwen Lu; Jie Zhou 001 (ICCV, 2021)

Towards Interpretable Deep Metric Learning with Structural Matching. - Wenliang Zhao; Yongming Rao; Ziyi Wang 007; Jiwen Lu; Jie Zhou 001 (ICCV, 2021)

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. - Yongming Rao; Wenliang Zhao; Benlin Liu; Jiwen Lu; Jie Zhou 001; Cho-Jui Hsieh (NeurIPS, 2021)

Global Filter Networks for Image Classification. - Yongming Rao; Wenliang Zhao; Zheng Zhu; Jiwen Lu; Jie Zhou 001 (NeurIPS, 2021)

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. - Liang Pan; Tong Wu; Zhongang Cai; Ziwei Liu 002; Xumin Yu; Yongming Rao; Jiwen Lu; Jie Zhou 001; Mingye Xu; Xiaoyuan Luo; Kexue Fu 001; Peng Gao 007; et al. (CoRR, 2021)

SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. - Yi Wei 003; Linqing Zhao; Wenzhao Zheng; Zheng Zhu; Yongming Rao; Guan Huang 003; Jiwen Lu; Jie Zhou 001 (CoRL, 2022)

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. - Tianpei Gu; Guangyi Chen 002; Junlong Li; Chunze Lin; Yongming Rao; Jie Zhou 001; Jiwen Lu (CVPR, 2022)

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. - Yongming Rao; Wenliang Zhao; Guangyi Chen 002; Yansong Tang; Zheng Zhu; Guan Huang 003; Jie Zhou 001; Jiwen Lu (CVPR, 2022)

SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. - Ziyi Wang 007; Yongming Rao; Xumin Yu; Jie Zhou 001; Jiwen Lu (CVPR, 2022)

FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. - Jinglin Xu; Yongming Rao; Xumin Yu; Guangyi Chen 002; Jie Zhou 001; Jiwen Lu (CVPR, 2022)

Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. - Xiuwei Xu; Yifan Wang; Yu Zheng 015; Yongming Rao; Jie Zhou 001; Jiwen Lu (CVPR, 2022)

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. - Xumin Yu; Lulu Tang; Yongming Rao; Tiejun Huang 001; Jie Zhou 001; Jiwen Lu (CVPR, 2022)

AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. - Yongming Rao; Wenliang Zhao; Jie Zhou 001; Jiwen Lu (ECCV (21), 2022)

LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. - Yi Wei 003; Zibu Wei; Yongming Rao; Jiaxin Li; Jie Zhou 001; Jiwen Lu (ECCV (39), 2022)

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. - Yongming Rao; Wenliang Zhao; Yansong Tang; Jie Zhou 001; Ser-Nam Lim; Jiwen Lu (NeurIPS, 2022)

P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. - Ziyi Wang 007; Xumin Yu; Yongming Rao; Jie Zhou 001; Jiwen Lu (NeurIPS, 2022)

Prompt Learning with Optimal Transport for Vision-Language Models. - Guangyi Chen 002; Weiran Yao; Xiangchen Song; Xinyue Li; Yongming Rao; Kun Zhang 001 (CoRR, 2022)

Structure-Preserving Image Super-Resolution. - Cheng Ma; Yongming Rao; Jiwen Lu; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Video Saliency Forecasting Transformer. - Cheng Ma; Haowen Sun; Yongming Rao; Jie Zhou 001; Jiwen Lu (IEEE Trans. Circuits Syst. Video Technol., 2022)

VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning. - Wenliang Zhao; Yongming Rao; Yansong Tang; Jie Zhou 001; Jiwen Lu (IEEE Trans. Image Process., 2022)

FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. - Yansong Tang; Jinpeng Liu; Aoyang Liu; Bin Yang; Wenxun Dai; Yongming Rao; Jiwen Lu; Jie Zhou 001; Xiu Li 001 (CVPR, 2023)

DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion. - Wenliang Zhao; Yongming Rao; Weikang Shi; Zuyan Liu; Jie Zhou 001; Jiwen Lu (CVPR, 2023)

Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. - Ziyi Wang 007; Xumin Yu; Yongming Rao; Jie Zhou 001; Jiwen Lu (ICCV, 2023)

TCOVIS: Temporally Consistent Online Video Instance Segmentation. - Junlong Li; Bingyao Yu; Yongming Rao; Jie Zhou 001; Jiwen Lu (ICCV, 2023)

Unleashing Text-to-Image Diffusion Models for Visual Perception. - Wenliang Zhao; Yongming Rao; Zuyan Liu; Benlin Liu; Jie Zhou 001; Jiwen Lu (ICCV, 2023)

PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. - Guangyi Chen 002; Weiran Yao; Xiangchen Song; Xinyue Li; Yongming Rao; Kun Zhang 001 (ICLR, 2023)

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. - Wenliang Zhao; Lujia Bai; Yongming Rao; Jie Zhou 001; Jiwen Lu (NeurIPS, 2023)

Generative Multimodal Models are In-Context Learners. - Quan Sun; Yufeng Cui; Xiaosong Zhang; Fan Zhang; Qiying Yu; Zhengxiong Luo; Yueze Wang; Yongming Rao; Jingjing Liu; Tiejun Huang 003; Xinlong Wang (CoRR, 2023)

PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds. - Yongming Rao; Jiwen Lu; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. - Yongming Rao; Zuyan Liu; Wenliang Zhao; Jie Zhou 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

GFNet: Global Filter Networks for Visual Recognition. - Yongming Rao; Wenliang Zhao; Zheng Zhu; Jie Zhou 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

3D Point-Voxel Correlation Fields for Scene Flow Estimation. - Ziyi Wang 007; Yi Wei 003; Yongming Rao; Jie Zhou 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers. - Xumin Yu; Yongming Rao; Ziyi Wang 007; Jiwen Lu; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior. - Fangfu Liu; Diankun Wu; Yi Wei 003; Yongming Rao; Yueqi Duan (CVPR, 2024)

Generative Multimodal Models are In-Context Learners. - Quan Sun; Yufeng Cui; Xiaosong Zhang; Fan Zhang; Qiying Yu; Yueze Wang; Yongming Rao; Jingjing Liu; Tiejun Huang 003; Xinlong Wang (CVPR, 2024)

X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition. - Shuofeng Sun; Yongming Rao; Jiwen Lu; Haibin Yan (CVPR, 2024)

Efficient Inference of Vision Instruction-Following Models with Elastic Cache. - Zuyan Liu; Benlin Liu; Jiahui Wang; Yuhao Dong; Guangyi Chen 002; Yongming Rao; Ranjay Krishna; Jiwen Lu (ECCV (17), 2024)

Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models. - Zuyan Liu; Yuhao Dong; Yongming Rao; Jie Zhou 001; Jiwen Lu (CoRR, 2024)

Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model. - Benlin Liu; Yuhao Dong; Yiqin Wang; Yongming Rao; Yansong Tang; Wei-Chiu Ma; Ranjay Krishna (CoRR, 2024)

StableSwap: Stable Face Swapping in a Shared and Controllable Latent Space. - Yixuan Zhu; Wenliang Zhao; Yansong Tang; Yongming Rao; Jie Zhou 001; Jiwen Lu (IEEE Trans. Multim., 2024)

DIML: Deep Interpretable Metric Learning via Structural Matching. - Wenliang Zhao; Yongming Rao; Jie Zhou 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models. - Ziyi Wang 007; Yongming Rao; Xumin Yu; Jie Zhou 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Procedure-Aware Action Quality Assessment: Datasets and Performance Evaluation. - Jinglin Xu; Yongming Rao; Jie Zhou 001; Jiwen Lu (Int. J. Comput. Vis., 2024)

Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models. - Yuhao Dong; Zuyan Liu; Hai-Long Sun; Jingkang Yang; Winston Hu; Yongming Rao; Ziwei Liu 002 (CVPR, 2025)

Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model. - Benlin Liu; Yuhao Dong; Yiqin Wang; Zixian Ma; Yansong Tang; Luming Tang; Yongming Rao; Wei-Chiu Ma; Ranjay Krishna (CVPR, 2025)

Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution. - Zuyan Liu; Yuhao Dong; Ziwei Liu 002; Winston Hu; Jiwen Lu; Yongming Rao (ICLR, 2025)

Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment. - Zuyan Liu; Yuhao Dong; Jiahui Wang; Ziwei Liu 002; Winston Hu; Jiwen Lu; Yongming Rao (CoRR, 2025)

BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries. - Tianle Li; Yongming Rao; Winston Hu; Yu Cheng (CoRR, 2025)

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation. - Meng-Hao Guo; Jiajun Xu; Yi Zhang 099; Jiaxi Song; Haoyang Peng; Yi-Xuan Deng; Xinzhi Dong; Kiyohiro Nakayama; Zhengyang Geng; Chen Wang 049; Bolin Ni; Guo-Wei Yang; et al. (CoRR, 2025)

Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model. - Tianle Li; Jihai Zhang; Yongming Rao; Yu Cheng (CoRR, 2025)

Transferable Unintentional Action Localization With Language-Guided Intention Translation. - Jinglin Xu; Yongming Rao; Jie Zhou 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs. - Jiahui Wang; Zuyan Liu; Yongming Rao; Jiwen Lu (CoRR, 2025)

Vision Generalist Model: A Survey. - Ziyi Wang 007; Yongming Rao; Shuofeng Sun; Xinrun Liu; Yi Wei 003; Xumin Yu; Zuyan Liu; Yanbo Wang; Hongmin Liu 001; Jie Zhou 001; Jiwen Lu (CoRR, 2025)

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again. - Zigang Geng; Yibing Wang; Yeyao Ma; Chen Li; Yongming Rao; Shuyang Gu; Zhao Zhong; Qinglin Lu; Han Hu 001; Xiaosong Zhang; Linus; Di Wang; et al. (CoRR, 2025)