Yadong Mu

According to our database, Yadong Mu authored at least 133 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-Granularity Interaction for Multi-Person 3D Motion Prediction.

Chenchen Liu, Yadong Mu

IEEE Trans. Circuits Syst. Video Technol., March, 2024

Localized Linear Temporal Dynamics for Self-Supervised Skeleton Action Recognition.

Xinghan Wang, Yadong Mu

IEEE Trans. Multim., 2024

Hierarchical reinforcement learning for chip-macro placement in integrated circuit.

Zhentao Tan, Yadong Mu

Pattern Recognit. Lett., 2024

Pyramidal Flow Matching for Efficient Video Generative Modeling.

Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin

CoRR, 2024

Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling.

Jinghan Li, Zhicheng Sun, Fei Li, Cao Sheng, Jiazhong Yu, Yadong Mu

CoRR, 2024

InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior.

Chenguo Lin, Yuchen Lin, Panwang Pan, Xuanyang Zhang, Yadong Mu

CoRR, 2024

HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors.

Panwang Pan, Zhuo Su, Chenguo Lin, Zhen Fan, Yongjie Zhang, Zeming Li, Tingting Shen, Yadong Mu, Yebin Liu

CoRR, 2024

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance.

Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Di Zhang, Yang Song, Kun Gai, Yadong Mu

CoRR, 2024

Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images.

Hongyu Yan, Yadong Mu

CoRR, 2024

Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion.

Xinghan Wang, Zixi Kang, Yadong Mu

CoRR, 2024

Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem.

Zhentao Tan, Yadong Mu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization.

Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior.

Chenguo Lin, Yadong Mu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.

Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection.

Kangqi Ma, Hao Dong, Yadong Mu

Proceedings of the Computer Vision - ECCV 2024, 2024

Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment.

Yang Jin, Yadong Mu

Proceedings of the Computer Vision - ECCV 2024, 2024

Countering Personalized Text-to-Image Generation with Influence Watermarks.

Hanwen Liu, Zhicheng Sun, Yadong Mu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning.

Hao Jiang, Bingfeng Zhou, Yadong Mu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Orthogonality in Open World Object Detection.

Zhicheng Sun, Jinghan Li, Yadong Mu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Transferable Video Moment Localization by Moment-Guided Query Prompting.

Hao Jiang, Yang Yizhang, Yadong Mu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Language-Guided Multi-Granularity Context Aggregation for Temporal Sentence Grounding.

Guoqiang Gong, Linchao Zhu, Yadong Mu

IEEE Trans. Multim., 2023

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.

Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

CoRR, 2023

Curriculum Graph Poisoning.

Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu

Proceedings of the ACM Web Conference 2023, 2023

Image Completion with Heterogeneously Filtered Spectral Hints.

Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Rewiring Neurons in Non-Stationary Environments.

Zhicheng Sun, Yadong Mu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion.

Peiran Xu, Yadong Mu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Diffused Fourier Network for Video Action Segmentation.

Borui Jiang, Yadong Mu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Trapdoor Normalization with Irreversible Ownership Verification.

Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu

Proceedings of the International Conference on Machine Learning, 2023

Video Action Segmentation via Contextually Refined Temporal Keypoints.

Borui Jiang, Yang Jin, Zhentao Tan, Yadong Mu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition.

Xinghan Wang, Xin Xu, Yadong Mu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce.

Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Regularizing Second-Order Influences for Continual Learning.

Zhicheng Sun, Yadong Mu, Gang Hua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tree-Structured Trajectory Encoding for Vision-and-Language Navigation.

Xinzhe Zhou, Yadong Mu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Zero-Shot Video Event Detection With High-Order Semantic Concept Discovery and Matching.

Yang Jin, Wenhao Jiang, Yi Yang, Yadong Mu

IEEE Trans. Multim., 2022

Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding.

Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conditional Diffusion Process for Inverse Halftoning.

Hao Jiang, Yadong Mu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Patch-based Knowledge Distillation for Lifelong Person Re-Identification.

Zhicheng Sun, Yadong Mu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Video2Subtitle: Matching Weakly-Synchronized Sequences via Dynamic Temporal Alignment.

Ben Xue, Chenchen Liu, Yadong Mu

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Learning Sample Importance for Cross-Scenario Video Temporal Grounding.

Peijun Bao, Yadong Mu

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Complex Video Action Reasoning via Learnable Markov Logic Network.

Yang Jin, Linchao Zhu, Yadong Mu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer.

Hao Jiang, Yadong Mu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep High-Resolution Representation Learning for Visual Recognition.

Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Rethinking the Spatial Route Prior in Vision-and-Language Navigation.

Xinzhe Zhou, Wei Liu, Yadong Mu

CoRR, 2021

Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds.

Guiyu Tian, Wenhao Jiang, Wei Liu, Yadong Mu

CoRR, 2021

Searching Motion Graphs for Human Motion Synthesis.

Chenchen Liu, Yadong Mu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Joint Hand-Object Pose Estimation with Differentiably-Learned Physical Contact Point Analysis.

Nan Zhuang, Yadong Mu

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Question-Guided Semantic Dual-Graph Visual Reasoning with Novel Answers.

Xinzhe Zhou, Yadong Mu

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection.

Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning 3-D Human Pose Estimation from Catadioptric Videos.

Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Supervised Video Action Localization with Adversarial Temporal Transforms.

Guoqiang Gong, Liangfeng Zheng, Wenhao Jiang, Yadong Mu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Factorized Cross-View Fusion for Multi-View Crowd Counting.

Liangfeng Zheng, Yongzhi Li, Yadong Mu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes.

Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

PointerNet: Spatiotemporal Modeling for Crowd Counting in Videos.

Changsheng Liu, Yuan Huang, Yadong Mu, Xiaoming Yu

Proceedings of the ICDLT 2021: 5th International Conference on Deep Learning Technologies, Qingdao, China, July 23, 2021

Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference.

Borui Jiang, Yadong Mu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

DRENet: Giving Full Scope to Detection and Regression-Based Estimation for Video Crowd Counting.

Changsheng Liu, Yuan Huang, Yadong Mu, Xiaoming Yu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Dense Events Grounding in Video.

Peijun Bao, Qian Zheng, Yadong Mu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fast Fourier Convolution.

Lu Chi, Borui Jiang, Yadong Mu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Cap2Seg: Inferring Semantic and Spatial Context from Captions for Zero-Shot Image Segmentation.

Guiyu Tian, Shuai Wang, Jie Feng, Li Zhou, Yadong Mu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Google Helps YouTube: Learning Few-Shot Video Classification from Historic Tasks and Cross-Domain Sample Transfer.

Xinzhe Zhou, Yadong Mu

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective.

Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Spectrally-Enforced Global Receptive Field For Contextual Medical Image Segmentation And Classification.

Yongzhi Li, Lu Chi, Guiyu Tian, Yadong Mu, Shen Ge, Zhi Qiao, Xian Wu, Wei Fan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Scale Matters: Temporal Scale Aggregation Network For Precise Action Localization In Untrimmed Videos.

Guoqiang Gong, Liangfeng Zheng, Yadong Mu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Weakly-Supervised Action Localization by Generative Attention Modeling.

Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context.

Chenchen Liu, Yang Jin, Kehan Xu, Guoqiang Gong, Yadong Mu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Visual-Semantic Matching by Exploring High-Order Attention and Distraction.

Yongzhi Li, Duo Zhang, Yadong Mu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Temporal Co-Attention Models for Unsupervised Video Action Localization.

Guoqiang Gong, Xinghan Wang, Yadong Mu, Qi Tian

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Non-Local Neural Networks With Grouped Bilinear Attentional Transforms.

Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection.

Ruihai Wu, Kehan Xu, Chenchen Liu, Nan Zhuang, Yadong Mu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Revisiting Jump-Diffusion Process for Visual Tracking: A Reinforcement Learning Approach.

Xiaobai Liu, Qian Xu, Thuan Chau, Yadong Mu, Lei Zhu, Shuicheng Yan

IEEE Trans. Circuits Syst. Video Technol., 2019

Learning single-shot vehicle orientation estimation from large-scale street panoramas.

Xinzhe Zhou, Yigeng Fang, Yadong Mu

Neurocomputing, 2019

Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos.

Guoqiang Gong, Liangfeng Zheng, Kun Bai, Yadong Mu

CoRR, 2019

High-Resolution Representations for Labeling Pixels and Regions.

Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang

CoRR, 2019

Fast Non-Local Neural Networks with Spectral Residual Learning.

Lu Chi, Guiyu Tian, Yadong Mu, Lingxi Xie, Qi Tian

Proceedings of the 27th ACM International Conference on Multimedia, 2019

High-Capacity Convolutional Video Steganography with Temporal Residual Modeling.

Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu

Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Two-Stream Video Classification with Cross-Modality Attention.

Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization.

Chenchen Liu, Xinyu Weng, Yadong Mu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation.

Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

High-Precision Camera Localization in Scenes with Repetitive Patterns.

Xiaobai Liu, Qian Xu, Yadong Mu, Jiadi Yang, Liang Lin, Shuicheng Yan

ACM Trans. Intell. Syst. Technol., 2018

A Stochastic Attribute Grammar for Robust Cross-View Human Tracking.

Xiaobai Liu, Yuanlu Xu, Lei Zhu, Yadong Mu

IEEE Trans. Circuits Syst. Video Technol., 2018

Convolutional Video Steganography with Temporal Residual Modeling.

Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu

CoRR, 2018

2017

Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization.

Yadong Mu, Wei Liu, Xiaobai Liu, Wei Fan

IEEE Trans. Knowl. Data Eng., 2017

Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues.

Lu Chi, Yadong Mu

CoRR, 2017

End-to-end Active Object Tracking via Reinforcement Learning.

Wenhan Luo, Peng Sun, Yadong Mu, Wei Liu

CoRR, 2017

Classification by Retrieval: Binarizing Data and Classifiers.

Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, Heng Tao Shen

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Temporal Binary Coding for Large-Scale Video Search.

Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu

Proceedings of the 2017 ACM on Multimedia Conference, 2017

VSCC'2017: Visual Analysis for Smart and Connected Communities.

Xiaobai Liu, Yadong Mu, Yu-Gang Jiang, Jiebo Luo

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Learning End-to-End Autonomous Steering Model from Spatial and Temporal Visual Cues.

Lu Chi, Yadong Mu

Proceedings of the Workshop on Visual Analysis in Smart and Connected Communities, 2017

Deep Hashing: A Joint Approach for Image Signature Learning.

Yadong Mu, Zhu Liu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Boosting Complementary Hash Tables for Fast Nearest Neighbor Search.

Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning Binary Codes and Binary Weights for Efficient Classification.

Fumin Shen, Yadong Mu, Wei Liu, Yang Yang, Heng Tao Shen

CoRR, 2016

Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval.

Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Stochastic Image Grammar for Fine-Grained 3D Scene Reconstruction.

Xiaobai Liu, Yadong Mu, Liang Lin

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Fixed-Rank Supervised Metric Learning on Riemannian Manifold.

Yadong Mu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Large-Scale Unsupervised Hashing with Shared Structure Learning.

Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li

IEEE Trans. Cybern., 2015

Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing.

Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li

Signal Process., 2015

Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization.

Yadong Mu, Wei Liu, Wei Fan

CoRR, 2015

Piecewise linear approximation of streaming time series data with max-error guarantees.

Ge Luo, Ke Yi, Siu-Wing Cheng, Zhenguo Li, Wei Fan, Cheng He, Yadong Mu

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Mixed image-keyword query adaptive hashing over multilabel images.

Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang

ACM Trans. Multim. Comput. Commun. Appl., 2014

Video De-Fencing.

Yadong Mu, Wei Liu, Shuicheng Yan

IEEE Trans. Circuits Syst. Video Technol., 2014

Guest Editorial: Special issue on large scale multimedia semantic indexing.

Yadong Mu, Yi Yang, Liangliang Cao, Shuicheng Yan, Qi Tian

Comput. Vis. Image Underst., 2014

Supervised deep learning with auxiliary networks.

Junbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Text vectorization based on character recognition and character stroke modeling.

Zhigang Fan, Bingfeng Zhou, Francis Tse, Yadong Mu, Tao He

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2014, 2014

Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification.

Yadong Mu, Gang Hua, Wei Fan, Shih-Fu Chang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Large-scale multilabel propagation based on efficient sparse graph construction.

Xiangyu Chen, Yadong Mu, Hairong Liu, Shuicheng Yan, Yong Rui, Tat-Seng Chua

ACM Trans. Multim. Comput. Commun. Appl., 2013

Computational facial attractiveness prediction by aesthetics-aware features.

Yadong Mu

Neurocomputing, 2013

Divide-and-Conquer Subspace Segmentation

Ameet Talwalkar, Lester W. Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan

CoRR, 2013

IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems.

Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

Distributed Low-Rank Subspace Segmentation.

Ameet Talwalkar, Lester W. Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Multimedia semantics-aware query-adaptive hashing with bits reconfigurability.

Yadong Mu, Xiangyu Chen, Xianglong Liu, Tat-Seng Chua, Shuicheng Yan

Int. J. Multim. Inf. Retr., 2012

IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems.

Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, John R. Smith, Felix X. Yu

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Submodular video hashing: a unified framework towards video pooling and indexing.

Liangliang Cao, Zhenguo Li, Yadong Mu, Shih-Fu Chang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Compact hashing for mixed image-keyword query over multi-label images.

Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang

Proceedings of the International Conference on Multimedia Retrieval, 2012

Compact Hyperplane Hashing with Bilinear Functions.

Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang

Proceedings of the 29th International Conference on Machine Learning, 2012

Accelerated Large Scale Optimization by Concomitant Hashing.

Yadong Mu, John Wright, Shih-Fu Chang

Proceedings of the Computer Vision - ECCV 2012, 2012

Scene Aligned Pooling for Complex Video Recognition.

Liangliang Cao, Yadong Mu, Apostol Natsev, Shih-Fu Chang, Gang Hua, John R. Smith

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Efficient region-aware large graph construction towards scalable multi-label propagation.

Bing-Kun Bao, Bingbing Ni, Yadong Mu, Shuicheng Yan

Pattern Recognit., 2011

Non-uniform multiple kernel learning with cluster-based gating functions.

Yadong Mu, Bingfeng Zhou

Neurocomputing, 2011

IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System.

Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Apostol Natsev, John R. Smith

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Learning reconfigurable hashing for diverse semantics.

Yadong Mu, Xiangyu Chen, Tat-Seng Chua, Shuicheng Yan

Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Towards Optimal Discriminating Order for Multiclass Classification.

Dong Liu, Shuicheng Yan, Yadong Mu, Xian-Sheng Hua, Shih-Fu Chang, Hong-Jiang Zhang

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Accelerated low-rank visual recovery by random projection.

Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Information-Theoretic Analysis of Input Strokes in Visual Object Cutout.

Yadong Mu, Bingfeng Zhou, Shuicheng Yan

IEEE Trans. Multim., 2010

MC-JBIG2: an improved algorithm for Chinese textual image compression.

Kui Hu, Zhi Tang, Liangcai Gao, Yadong Mu

Int. J. Document Anal. Recognit., 2010

Efficient large-scale image annotation by probabilistic collaborative multi-label propagation.

Xiangyu Chen, Yadong Mu, Shuicheng Yan, Tat-Seng Chua

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Activity recognition using dense long-duration trajectories.

Ju Sun, Yadong Mu, Shuicheng Yan, Loong Fah Cheong

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

Randomized Locality Sensitive Vocabularies for Bag-of-Features Model.

Yadong Mu, Ju Sun, Tony X. Han, Loong Fah Cheong, Shuicheng Yan

Proceedings of the Computer Vision, 2010

Weakly-supervised hashing in kernel space.

Yadong Mu, Jialie Shen, Shuicheng Yan

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Non-Metric Locality-Sensitive Hashing.

Yadong Mu, Shuicheng Yan

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Prior-guided automatic object cutout in personal album.

Yadong Mu, Bingfeng Zhou

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Connectivity similarity based transductive learning for interactive image segmentation.

Yadong Mu, Bingfeng Zhou

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Contextual motion field-based distance for video analysis.

Yadong Mu, Shuicheng Yan, Thomas S. Huang, Bingfeng Zhou

Vis. Comput., 2008

Discriminative local binary patterns for human detection in personal album.

Yadong Mu, Shuicheng Yan, Yi Liu, Thomas S. Huang, Bingfeng Zhou

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Co-segmentation of Image Pairs with Quadratic Global Constraint in MRFs.

Yadong Mu, Bingfeng Zhou

Proceedings of the Computer Vision, 2007