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ORCIDYadong Mu
Person information
- affiliation: Peking University, Beijing, China
- affiliation (former): AT&T Labs, Middletown, NJ, USA
- affiliation (former): Columbia University, New York, NY, USA
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Journal Articles
- 2024
[j23]Zhentao Tan
, Yadong Mu:
Hierarchical reinforcement learning for chip-macro placement in integrated circuit. Pattern Recognit. Lett. 179: 108-114 (2024)- [j22]Chenchen Liu, Yadong Mu:
Multi-Granularity Interaction for Multi-Person 3D Motion Prediction. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1546-1558 (2024) - 2023
- [j21]Guoqiang Gong, Linchao Zhu, Yadong Mu:
Language-Guided Multi-Granularity Context Aggregation for Temporal Sentence Grounding. IEEE Trans. Multim. 25: 7402-7414 (2023) - 2022
- [j20]Yang Jin, Wenhao Jiang, Yi Yang, Yadong Mu:
Zero-Shot Video Event Detection With High-Order Semantic Concept Discovery and Matching. IEEE Trans. Multim. 24: 1896-1908 (2022) - 2021
- [j19]Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao:
Deep High-Resolution Representation Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3349-3364 (2021) - 2019
- [j18]Xinzhe Zhou, Yigeng Fang, Yadong Mu:
Learning single-shot vehicle orientation estimation from large-scale street panoramas. Neurocomputing 367: 319-327 (2019) - [j17]Xiaobai Liu, Qian Xu, Thuan Chau, Yadong Mu, Lei Zhu, Shuicheng Yan:
Revisiting Jump-Diffusion Process for Visual Tracking: A Reinforcement Learning Approach. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2431-2441 (2019) - 2018
- [j16]Xiaobai Liu, Yuanlu Xu, Lei Zhu, Yadong Mu:
A Stochastic Attribute Grammar for Robust Cross-View Human Tracking. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2884-2895 (2018) - [j15]Xiaobai Liu, Qian Xu, Yadong Mu, Jiadi Yang, Liang Lin, Shuicheng Yan:
High-Precision Camera Localization in Scenes with Repetitive Patterns. ACM Trans. Intell. Syst. Technol. 9(6): 66:1-66:21 (2018) - 2017
- [j14]Yadong Mu, Wei Liu, Xiaobai Liu, Wei Fan:
Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization. IEEE Trans. Knowl. Data Eng. 29(2): 458-471 (2017) - 2015
- [j13]Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li:
Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. Signal Process. 112: 137-145 (2015) - [j12]Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li:
Large-Scale Unsupervised Hashing with Shared Structure Learning. IEEE Trans. Cybern. 45(9): 1811-1822 (2015) - 2014
- [j11]Yadong Mu, Yi Yang, Liangliang Cao, Shuicheng Yan, Qi Tian:
Guest Editorial: Special issue on large scale multimedia semantic indexing. Comput. Vis. Image Underst. 124: 1-2 (2014) - [j10]Yadong Mu, Wei Liu, Shuicheng Yan:
Video De-Fencing. IEEE Trans. Circuits Syst. Video Technol. 24(7): 1111-1121 (2014) - [j9]Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang:
Mixed image-keyword query adaptive hashing over multilabel images. ACM Trans. Multim. Comput. Commun. Appl. 10(2): 22:1-22:21 (2014) - 2013
- [j8]Yadong Mu:
Computational facial attractiveness prediction by aesthetics-aware features. Neurocomputing 99: 59-64 (2013) - [j7]Xiangyu Chen, Yadong Mu, Hairong Liu, Shuicheng Yan, Yong Rui, Tat-Seng Chua:
Large-scale multilabel propagation based on efficient sparse graph construction. ACM Trans. Multim. Comput. Commun. Appl. 10(1): 6:1-6:20 (2013) - 2012
- [j6]Yadong Mu, Xiangyu Chen, Xianglong Liu, Tat-Seng Chua, Shuicheng Yan:
Multimedia semantics-aware query-adaptive hashing with bits reconfigurability. Int. J. Multim. Inf. Retr. 1(1): 59-70 (2012) - 2011
- [j5]Yadong Mu, Bingfeng Zhou:
Non-uniform multiple kernel learning with cluster-based gating functions. Neurocomputing 74(7): 1095-1101 (2011) - [j4]Bing-Kun Bao, Bingbing Ni, Yadong Mu, Shuicheng Yan:
Efficient region-aware large graph construction towards scalable multi-label propagation. Pattern Recognit. 44(3): 598-606 (2011) - 2010
- [j3]Kui Hu, Zhi Tang, Liangcai Gao, Yadong Mu:
MC-JBIG2: an improved algorithm for Chinese textual image compression. Int. J. Document Anal. Recognit. 13(4): 271-284 (2010) - [j2]Yadong Mu, Bingfeng Zhou, Shuicheng Yan:
Information-Theoretic Analysis of Input Strokes in Visual Object Cutout. IEEE Trans. Multim. 12(8): 843-852 (2010) - 2008
- [j1]Yadong Mu, Shuicheng Yan, Thomas S. Huang, Bingfeng Zhou:
Contextual motion field-based distance for video analysis. Vis. Comput. 24(7-9): 595-603 (2008)
Conference and Workshop Papers
- 2024
- [c82]Hao Jiang, Yang Yizhang, Yadong Mu:
Transferable Video Moment Localization by Moment-Guided Query Prompting. AAAI 2024: 2516-2524 - 2023
- [c81]Xinzhe Zhou, Yadong Mu:
Tree-Structured Trajectory Encoding for Vision-and-Language Navigation. AAAI 2023: 3814-3824 - [c80]Xinghan Wang, Xin Xu, Yadong Mu:
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition. CVPR 2023: 10597-10607 - [c79]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce. CVPR 2023: 11060-11069 - [c78]Zhicheng Sun, Yadong Mu, Gang Hua:
Regularizing Second-Order Influences for Continual Learning. CVPR 2023: 20166-20175 - [c77]Borui Jiang, Yang Jin, Zhentao Tan, Yadong Mu:
Video Action Segmentation via Contextually Refined Temporal Keypoints. ICCV 2023: 13790-13799 - [c76]Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu:
Trapdoor Normalization with Irreversible Ownership Verification. ICML 2023: 22177-22187 - [c75]Peiran Xu, Yadong Mu:
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion. ACM Multimedia 2023: 2744-2755 - [c74]Borui Jiang, Yadong Mu:
Diffused Fourier Network for Video Action Segmentation. ACM Multimedia 2023: 5474-5483 - [c73]Zhicheng Sun, Yadong Mu:
Rewiring Neurons in Non-Stationary Environments. NeurIPS 2023 - [c72]Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi:
Image Completion with Heterogeneously Filtered Spectral Hints. WACV 2023: 4580-4590 - [c71]Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu:
Curriculum Graph Poisoning. WWW 2023: 2011-2021 - 2022
- [c70]Yang Jin, Linchao Zhu, Yadong Mu:
Complex Video Action Reasoning via Learnable Markov Logic Network. CVPR 2022: 3232-3241 - [c69]Hao Jiang, Yadong Mu:
Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer. CVPR 2022: 16367-16377 - [c68]Peijun Bao, Yadong Mu:
Learning Sample Importance for Cross-Scenario Video Temporal Grounding. ICMR 2022: 322-329 - [c67]Ben Xue, Chenchen Liu, Yadong Mu:
Video2Subtitle: Matching Weakly-Synchronized Sequences via Dynamic Temporal Alignment. ICMR 2022: 342-350 - [c66]Zhicheng Sun, Yadong Mu:
Patch-based Knowledge Distillation for Lifelong Person Re-Identification. ACM Multimedia 2022: 696-707 - [c65]Hao Jiang, Yadong Mu:
Conditional Diffusion Process for Inverse Halftoning. NeurIPS 2022 - [c64]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. NeurIPS 2022 - 2021
- [c63]Peijun Bao, Qian Zheng, Yadong Mu:
Dense Events Grounding in Video. AAAI 2021: 920-928 - [c62]Changsheng Liu, Yuan Huang, Yadong Mu, Xiaoming Yu:
DRENet: Giving Full Scope to Detection and Regression-Based Estimation for Video Crowd Counting. ICANN (2) 2021: 15-27 - [c61]Borui Jiang, Yadong Mu:
Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference. ICCVW 2021: 336-344 - [c60]Changsheng Liu, Yuan Huang, Yadong Mu, Xiaoming Yu:
PointerNet: Spatiotemporal Modeling for Crowd Counting in Videos. ICDLT 2021: 26-31 - [c59]Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu:
Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes. ICME 2021: 1-6 - [c58]Liangfeng Zheng, Yongzhi Li, Yadong Mu:
Learning Factorized Cross-View Fusion for Multi-View Crowd Counting. ICME 2021: 1-6 - [c57]Guoqiang Gong, Liangfeng Zheng, Wenhao Jiang, Yadong Mu:
Self-Supervised Video Action Localization with Adversarial Temporal Transforms. IJCAI 2021: 693-699 - [c56]Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu:
Learning 3-D Human Pose Estimation from Catadioptric Videos. IJCAI 2021: 852-859 - [c55]Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu:
Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection. IJCAI 2021: 3462-3469 - [c54]Xinzhe Zhou, Yadong Mu:
Question-Guided Semantic Dual-Graph Visual Reasoning with Novel Answers. ICMR 2021: 411-419 - [c53]Nan Zhuang, Yadong Mu:
Joint Hand-Object Pose Estimation with Differentiably-Learned Physical Contact Point Analysis. ICMR 2021: 420-428 - [c52]Chenchen Liu, Yadong Mu:
Searching Motion Graphs for Human Motion Synthesis. ACM Multimedia 2021: 871-879 - 2020
- [c51]Ruihai Wu, Kehan Xu, Chenchen Liu, Nan Zhuang, Yadong Mu:
Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection. AAAI 2020: 12297-12304 - [c50]Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang:
Weakly-Supervised Action Localization by Generative Attention Modeling. CVPR 2020: 1006-1016 - [c49]Guoqiang Gong, Xinghan Wang, Yadong Mu, Qi Tian:
Learning Temporal Co-Attention Models for Unsupervised Video Action Localization. CVPR 2020: 9816-9825 - [c48]Chenchen Liu, Yang Jin, Kehan Xu, Guoqiang Gong, Yadong Mu:
Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context. CVPR 2020: 10837-10846 - [c47]Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang:
Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. CVPR 2020: 11801-11810 - [c46]Yongzhi Li, Duo Zhang, Yadong Mu:
Visual-Semantic Matching by Exploring High-Order Attention and Distraction. CVPR 2020: 12783-12792 - [c45]Guoqiang Gong, Liangfeng Zheng, Yadong Mu:
Scale Matters: Temporal Scale Aggregation Network For Precise Action Localization In Untrimmed Videos. ICME 2020: 1-6 - [c44]Yongzhi Li, Lu Chi, Guiyu Tian, Yadong Mu, Shen Ge, Zhi Qiao, Xian Wu, Wei Fan:
Spectrally-Enforced Global Receptive Field For Contextual Medical Image Segmentation And Classification. ICME 2020: 1-6 - [c43]Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang:
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. ICML 2020: 8828-8839 - [c42]Xinzhe Zhou, Yadong Mu:
Google Helps YouTube: Learning Few-Shot Video Classification from Historic Tasks and Cross-Domain Sample Transfer. ICMR 2020: 172-179 - [c41]Guiyu Tian, Shuai Wang, Jie Feng, Li Zhou, Yadong Mu:
Cap2Seg: Inferring Semantic and Spatial Context from Captions for Zero-Shot Image Segmentation. ACM Multimedia 2020: 4125-4134 - [c40]Lu Chi, Borui Jiang, Yadong Mu:
Fast Fourier Convolution. NeurIPS 2020 - 2019
- [c39]Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek:
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. AAAI 2019: 8441-8448 - [c38]Chenchen Liu, Xinyu Weng, Yadong Mu:
Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization. CVPR 2019: 1217-1226 - [c37]Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian:
Two-Stream Video Classification with Cross-Modality Attention. ICCV Workshops 2019: 4511-4520 - [c36]Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu:
High-Capacity Convolutional Video Steganography with Temporal Residual Modeling. ICMR 2019: 87-95 - [c35]Lu Chi, Guiyu Tian, Yadong Mu, Lingxi Xie, Qi Tian:
Fast Non-Local Neural Networks with Spectral Residual Learning. ACM Multimedia 2019: 2142-2151 - 2017
- [c34]Yadong Mu, Zhu Liu:
Deep Hashing: A Joint Approach for Image Signature Learning. AAAI 2017: 2380-2386 - [c33]Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li:
Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. AAAI 2017: 4183-4189 - [c32]Lu Chi, Yadong Mu:
Learning End-to-End Autonomous Steering Model from Spatial and Temporal Visual Cues. VSCC@MM 2017: 9-16 - [c31]Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu:
Temporal Binary Coding for Large-Scale Video Search. ACM Multimedia 2017: 333-341 - [c30]Xiaobai Liu, Yadong Mu, Yu-Gang Jiang, Jiebo Luo:
VSCC'2017: Visual Analysis for Smart and Connected Communities. ACM Multimedia 2017: 1976-1977 - [c29]Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, Heng Tao Shen:
Classification by Retrieval: Binarizing Data and Classifiers. SIGIR 2017: 595-604 - 2016
- [c28]Yadong Mu:
Fixed-Rank Supervised Metric Learning on Riemannian Manifold. AAAI 2016: 1941-1947 - [c27]Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao:
Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval. IJCAI 2016: 1860-1866 - [c26]Xiaobai Liu, Yadong Mu, Liang Lin:
A Stochastic Image Grammar for Fine-Grained 3D Scene Reconstruction. IJCAI 2016: 3425-3431 - 2015
- [c25]Ge Luo, Ke Yi, Siu-Wing Cheng, Zhenguo Li, Wei Fan, Cheng He, Yadong Mu:
Piecewise linear approximation of streaming time series data with max-error guarantees. ICDE 2015: 173-184 - 2014
- [c24]Yadong Mu, Gang Hua, Wei Fan, Shih-Fu Chang:
Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification. CVPR 2014: 979-986 - [c23]Zhigang Fan, Bingfeng Zhou, Francis Tse, Yadong Mu, Tao He:
Text vectorization based on character recognition and character stroke modeling. IMAWM 2014: 902707 - [c22]Junbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan:
Supervised deep learning with auxiliary networks. KDD 2014: 353-361 - 2013
- [c21]Ameet Talwalkar, Lester W. Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan:
Distributed Low-Rank Subspace Segmentation. ICCV 2013: 3543-3550 - [c20]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:
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID 2013 - 2012
- [c19]Yadong Mu, John Wright, Shih-Fu Chang:
Accelerated Large Scale Optimization by Concomitant Hashing. ECCV (1) 2012: 414-427 - [c18]Liangliang Cao, Yadong Mu, Apostol Natsev, Shih-Fu Chang, Gang Hua, John R. Smith:
Scene Aligned Pooling for Complex Video Recognition. ECCV (2) 2012: 688-701 - [c17]Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang:
Compact Hyperplane Hashing with Bilinear Functions. ICML 2012 - [c16]Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang:
Compact hashing for mixed image-keyword query over multi-label images. ICMR 2012: 18 - [c15]Liangliang Cao, Zhenguo Li, Yadong Mu, Shih-Fu Chang:
Submodular video hashing: a unified framework towards video pooling and indexing. ACM Multimedia 2012: 299-308 - [c14]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:
IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. TRECVID 2012 - 2011
- [c13]Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan:
Accelerated low-rank visual recovery by random projection. CVPR 2011: 2609-2616 - [c12]Dong Liu, Shuicheng Yan, Yadong Mu, Xian-Sheng Hua, Shih-Fu Chang, Hong-Jiang Zhang:
Towards Optimal Discriminating Order for Multiclass Classification. ICDM 2011: 388-397 - [c11]Yadong Mu, Xiangyu Chen, Tat-Seng Chua, Shuicheng Yan:
Learning reconfigurable hashing for diverse semantics. ICMR 2011: 7 - [c10]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:
IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. TRECVID 2011 - 2010
- [c9]Yadong Mu, Shuicheng Yan:
Non-Metric Locality-Sensitive Hashing. AAAI 2010: 539-544 - [c8]Yadong Mu, Jialie Shen, Shuicheng Yan:
Weakly-supervised hashing in kernel space. CVPR 2010: 3344-3351 - [c7]Yadong Mu, Ju Sun, Tony X. Han, Loong Fah Cheong, Shuicheng Yan:
Randomized Locality Sensitive Vocabularies for Bag-of-Features Model. ECCV (3) 2010: 748-761 - [c6]Ju Sun, Yadong Mu, Shuicheng Yan, Loong Fah Cheong:
Activity recognition using dense long-duration trajectories. ICME 2010: 322-327 - [c5]Xiangyu Chen, Yadong Mu, Shuicheng Yan, Tat-Seng Chua:
Efficient large-scale image annotation by probabilistic collaborative multi-label propagation. ACM Multimedia 2010: 35-44 - 2009
- [c4]Yadong Mu, Bingfeng Zhou:
Connectivity similarity based transductive learning for interactive image segmentation. ICASSP 2009: 1233-1236 - [c3]Yadong Mu, Bingfeng Zhou:
Prior-guided automatic object cutout in personal album. ICME 2009: 538-541 - 2008
- [c2]Yadong Mu, Shuicheng Yan, Yi Liu, Thomas S. Huang, Bingfeng Zhou:
Discriminative local binary patterns for human detection in personal album. CVPR 2008 - 2007
- [c1]Yadong Mu, Bingfeng Zhou:
Co-segmentation of Image Pairs with Quadratic Global Constraint in MRFs. ACCV (2) 2007: 837-846
Editorship
- 2017
- [e1]Xiaobai Liu, Yadong Mu, Yu-Gang Jiang, Jiebo Luo:
Proceedings of the Workshop on Visual Analysis in Smart and Connected Communities, VSCC@MM 2017, Mountain View, CA, USA, October 23, 2017. ACM 2017, ISBN 978-1-4503-5506-3 [contents]
Informal and Other Publications
- 2024
- [i28]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:
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. CoRR abs/2402.03161 (2024) - [i27]Chenguo Lin, Yadong Mu:
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior. CoRR abs/2402.04717 (2024) - [i26]Xinghan Wang, Zixi Kang, Yadong Mu:
Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion. CoRR abs/2404.11375 (2024) - [i25]Hongyu Yan, Yadong Mu:
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images. CoRR abs/2404.16423 (2024) - 2023
- [i24]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce. CoRR abs/2304.02853 (2023) - [i23]Zhicheng Sun, Yadong Mu, Gang Hua:
Regularizing Second-Order Influences for Continual Learning. CoRR abs/2304.10177 (2023) - [i22]Yang Jin, Kun Xu, 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:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. CoRR abs/2309.04669 (2023) - [i21]Peiran Xu, Yadong Mu:
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion. CoRR abs/2309.07753 (2023) - 2022
- [i20]Peijun Bao, Yadong Mu:
Learning Sample Importance for Cross-Scenario Video Temporal Grounding. CoRR abs/2201.02848 (2022) - [i19]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. CoRR abs/2209.13306 (2022) - [i18]Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi:
Image Completion with Heterogeneously Filtered Spectral Hints. CoRR abs/2211.03700 (2022) - 2021
- [i17]Guiyu Tian, Wenhao Jiang, Wei Liu, Yadong Mu:
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds. CoRR abs/2105.04839 (2021) - [i16]Xinzhe Zhou, Wei Liu, Yadong Mu:
Rethinking the Spatial Route Prior in Vision-and-Language Navigation. CoRR abs/2110.05728 (2021) - 2020
- [i15]Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang:
Weakly-Supervised Action Localization by Generative Attention Modeling. CoRR abs/2003.12424 (2020) - [i14]Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang:
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. CoRR abs/2008.04254 (2020) - 2019
- [i13]Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang:
High-Resolution Representations for Labeling Pixels and Regions. CoRR abs/1904.04514 (2019) - [i12]Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian:
Two-Stream Video Classification with Cross-Modality Attention. CoRR abs/1908.00497 (2019) - [i11]Guoqiang Gong, Liangfeng Zheng, Kun Bai, Yadong Mu:
Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos. CoRR abs/1908.00707 (2019) - [i10]Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao:
Deep High-Resolution Representation Learning for Visual Recognition. CoRR abs/1908.07919 (2019) - 2018
- [i9]Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu:
Convolutional Video Steganography with Temporal Residual Modeling. CoRR abs/1806.02941 (2018) - 2017
- [i8]Wenhan Luo, Peng Sun, Yadong Mu, Wei Liu:
End-to-end Active Object Tracking via Reinforcement Learning. CoRR abs/1705.10561 (2017) - [i7]Lu Chi, Yadong Mu:
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues. CoRR abs/1708.03798 (2017) - 2016
- [i6]Fumin Shen, Yadong Mu, Wei Liu, Yang Yang, Heng Tao Shen:
Learning Binary Codes and Binary Weights for Efficient Classification. CoRR abs/1603.04116 (2016) - [i5]Yadong Mu, Zhu Liu:
Deep Hashing: A Joint Approach for Image Signature Learning. CoRR abs/1608.03658 (2016) - 2015
- [i4]Yadong Mu, Wei Liu, Wei Fan:
Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization. CoRR abs/1506.08350 (2015) - 2013
- [i3]Ameet Talwalkar, Lester W. Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan:
Divide-and-Conquer Subspace Segmentation. CoRR abs/1304.5583 (2013) - 2012
- [i2]Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang:
Compact Hyperplane Hashing with Bilinear Functions. CoRR abs/1206.4618 (2012) - [i1]Yadong Mu, Wei Liu, Shuicheng Yan:
Video De-fencing. CoRR abs/1210.2388 (2012)
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-06-13 23:26 CEST by the dblp team
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