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ORCIDYun Fu 0001
Person information
- affiliation: Northeastern University, Department of Electrical and Computer Engineering / College of Computer and Information Science, Boston, MA, USA
- affiliation (since 2010): University at Buffalo-State University of New York, Department of Computer Science and Engineering, NY, USA
- affiliation (2009): Tufts University, Medford, MA, USA
- affiliation (since 2008): BBN Technologies, Cambridge, MA, USA
- affiliation (PhD 2008): University of Illinois at Urbana-Champaign, Electrical and Computer Engineering Department, IL, USA
Other persons with the same name
- Yun Fu — disambiguation page
- Yun Fu 0002 — University College London, UK
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2020 – today
- 2023
[j126]Kunpeng Li
, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Image-Text Embedding Learning via Visual and Textual Semantic Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 641-656 (2023)- [j125]Xiaotong Luo, Yanyun Qu, Yuan Xie, Yulun Zhang, Cuihua Li, Yun Fu:
Lattice Network for Lightweight Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4826-4842 (2023) - [j124]Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Hang Di, Yun Fu:
Human Motion Segmentation via Velocity-Sensitive Dual-Side Auto-Encoder. IEEE Trans. Image Process. 32: 524-536 (2023) - [i92]Huan Wang, Can Qin, Yue Bai, Yun Fu:
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning. CoRR abs/2301.05219 (2023) - [i91]Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu:
Making Reconstruction-based Method Great Again for Video Anomaly Detection. CoRR abs/2301.12048 (2023) - [i90]Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu:
Image as Set of Points. CoRR abs/2303.01494 (2023) - [i89]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. CoRR abs/2303.09650 (2023) - 2022
- [j123]Yu Kong, Yun Fu:
Human Action Recognition and Prediction: A Survey. Int. J. Comput. Vis. 130(5): 1366-1401 (2022) - [j122]Joseph P. Robinson, Ming Shao, Yun Fu:
Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4432-4453 (2022) - [j121]Jun Li, Zhiqiang Tao, Yue Wu, Bineng Zhong, Yun Fu:
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding. IEEE Trans. Cybern. 52(9): 9090-9100 (2022) - [j120]Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu:
Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization. IEEE Trans. Cybern. 52(12): 12734-12744 (2022) - [j119]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Semi-Supervised Domain Adaptive Structure Learning. IEEE Trans. Image Process. 31: 7179-7190 (2022) - [j118]Lichen Wang, Zhengming Ding, Yun Fu:
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation. ACM Trans. Knowl. Discov. Data 16(1): 12:1-12:20 (2022) - [j117]Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu:
Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship. IEEE Trans. Multim. 24: 3582-3594 (2022) - [j116]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Vehicle and Person Re-Identification With Support Neighbor Loss. IEEE Trans. Neural Networks Learn. Syst. 33(2): 826-838 (2022) - [j115]Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1119-1133 (2022) - [j114]Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu:
Representative Task Self-Selection for Flexible Clustered Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1467-1481 (2022) - [j113]Shuhui Jiang, Jun Li, Yun Fu:
Deep Learning for Fashion Style Generation. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4538-4550 (2022) - [c263]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI 2022: 1341-1349 - [c262]Can Qin, Yizhou Wang, Yun Fu:
Robust Semi-supervised Domain Adaptation against Noisy Labels. CIKM 2022: 4409-4413 - [c261]Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu:
Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. CIKM 2022: 4555-4559 - [c260]Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu:
Learning to Learn across Diverse Data Biases in Deep Face Recognition. CVPR 2022: 4062-4072 - [c259]Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu:
Adaptive Trajectory Prediction via Transferable GNN. CVPR 2022: 6510-6521 - [c258]Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi:
Towards Layer-wise Image Vectorization. CVPR 2022: 16293-16302 - [c257]Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov:
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis. ECCV (31) 2022: 612-629 - [c256]Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) 2022: 735-751 - [c255]Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu:
Making Reconstruction-based Method Great Again for Video Anomaly Detection. ICDM 2022: 1215-1220 - [c254]Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu:
Dual Lottery Ticket Hypothesis. ICLR 2022 - [c253]Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu:
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. ICLR 2022 - [c252]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. ICLR 2022 - [c251]Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu:
Test-time Fourier Style Calibration for Domain Generalization. IJCAI 2022: 1721-1727 - [c250]Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu:
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. IJCAI 2022: 3636-3642 - [c249]Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu:
Recent Advances on Neural Network Pruning at Initialization. IJCAI 2022: 5638-5645 - [c248]Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu:
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD 2022: 1401-1409 - [c247]Yu Yin, Will Hutchcroft, Naji Khosravan, Ivaylo Boyadzhiev, Yun Fu, Sing Bing Kang:
Generating Topological Structure of Floorplans from Room Attributes. ICMR 2022: 295-303 - [c246]Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie, Ding Liu, Yanyun Qu, Yun Fu, Junping Zhang:
Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity. ACM Multimedia 2022: 2173-2181 - [c245]Yu Yin, Joseph P. Robinson, Yun Fu:
Multimodal In-bed Pose and Shape Estimation under the Blankets. ACM Multimedia 2022: 2411-2419 - [c244]Chang Liu, Lichen Wang, Yun Fu:
Meta Adversarial Weight for Unsupervised Domain Adaptation. SDM 2022: 10-18 - [c243]Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu:
Collaborative Attention Mechanism for Multi-Modal Time Series Classification. SDM 2022: 495-503 - [i88]Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu:
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. CoRR abs/2202.07123 (2022) - [i87]Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu:
Dual Lottery Ticket Hypothesis. CoRR abs/2203.04248 (2022) - [i86]Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu:
Adaptive Trajectory Prediction via Transferable GNN. CoRR abs/2203.05046 (2022) - [i85]Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu:
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution. CoRR abs/2203.08921 (2022) - [i84]Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR abs/2203.14395 (2022) - [i83]Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov:
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis. CoRR abs/2203.17261 (2022) - [i82]Yu Yin, Will Hutchcroft, Naji Khosravan, Ivaylo Boyadzhiev, Yun Fu, Sing Bing Kang:
Generating Topological Structure of Floorplans from Room Attributes. CoRR abs/2204.12338 (2022) - [i81]Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu:
Test-time Fourier Style Calibration for Domain Generalization. CoRR abs/2205.06427 (2022) - [i80]Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi:
Towards Layer-wise Image Vectorization. CoRR abs/2206.04655 (2022) - [i79]Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu:
Parameter-Efficient Masking Networks. CoRR abs/2210.06699 (2022) - [i78]Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu:
Look More but Care Less in Video Recognition. CoRR abs/2211.09992 (2022) - [i77]Yu Yin, Kamran Ghasedi, HsiangTao Wu, Jiaolong Yang, Xin Tong, Yun Fu:
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-shot Real Image Animation. CoRR abs/2211.17235 (2022) - [i76]Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren:
Real-Time Neural Light Field on Mobile Devices. CoRR abs/2212.08057 (2022) - [i75]Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu:
A Close Look at Spatial Modeling: From Attention to Convolution. CoRR abs/2212.12552 (2022) - 2021
- [j112]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2480-2495 (2021) - [j111]Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. IEEE Trans. Image Process. 30: 1771-1783 (2021) - [j110]Songyao Jiang, Zhiqiang Tao, Yun Fu:
Geometrically Editable Face Image Translation With Adversarial Networks. IEEE Trans. Image Process. 30: 2771-2783 (2021) - [j109]Yulun Zhang, Kunpeng Li, Kai Li, Gan Sun, Yu Kong, Yun Fu:
Accurate and Fast Image Denoising via Attention Guided Scaling. IEEE Trans. Image Process. 30: 6255-6265 (2021) - [j108]Lichen Wang, Yunyu Liu, Hang Di, Can Qin, Gan Sun, Yun Fu:
Semi-Supervised Dual Relation Learning for Multi-Label Classification. IEEE Trans. Image Process. 30: 9125-9135 (2021) - [j107]Hongfu Liu, Jun Li, Yue Wu, Yun Fu:
Clustering With Outlier Removal. IEEE Trans. Knowl. Data Eng. 33(6): 2369-2379 (2021) - [j106]Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun Fu:
Continual Multiview Task Learning via Deep Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 139-150 (2021) - [c242]Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu:
Correlative Channel-Aware Fusion for Multi-View Time Series Classification. AAAI 2021: 6714-6722 - [c241]Sara Bunian, Kai Li, Chaima Jemmali, Casper Harteveld, Yun Fu, Magy Seif El-Nasr:
VINS: Visual Search for Mobile User Interface Design. CHI 2021: 423:1-423:14 - [c240]Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu:
Skeleton Aware Multi-Modal Sign Language Recognition. CVPR Workshops 2021: 3413-3423 - [c239]Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu:
MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network. CVPR 2021: 13425-13434 - [c238]Zaid Khan, Yun Fu:
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. FAccT 2021: 587-597 - [c237]Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu:
Spatially Constrained GAN for Face and Fashion Synthesis. FG 2021: 1-8 - [c236]Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. FG 2021: 1-7 - [c235]Huixian Zhang, Shuhui Jiang, Yun Fu:
Stylized Text-to-Fashion Image Generation. FG 2021: 1-8 - [c234]Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu:
Context Reasoning Attention Network for Image Super-Resolution. ICCV 2021: 4258-4267 - [c233]Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister:
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution. ICCV 2021: 4268-4277 - [c232]Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu:
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation. ICCV 2021: 8558-8567 - [c231]Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu:
Aspect-based Sentiment Classification via Reinforcement Learning. ICDM 2021: 1391-1396 - [c230]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. ICLR 2021 - [c229]Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu:
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. ACM Multimedia 2021: 1609-1617 - [c228]Chang Liu, Lichen Wang, Kai Li, Yun Fu:
Domain Generalization via Feature Variation Decorrelation. ACM Multimedia 2021: 1683-1691 - [c227]Bicheng Dai, Kaisheng Wu, Tong Wu, Kai Li, Yanyun Qu, Yuan Xie, Yun Fu:
Faster-PPN: Towards Real-Time Semantic Segmentation with Dual Mutual Learning for Ultra-High Resolution Images. ACM Multimedia 2021: 1957-1965 - [c226]Zaid Khan, Yun Fu:
Exploiting BERT for Multimodal Target Sentiment Classification through Input Space Translation. ACM Multimedia 2021: 3034-3042 - [c225]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. NeurIPS 2021: 2695-2706 - [c224]Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu:
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. NeurIPS 2021: 14110-14121 - [c223]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Contradictory Structure Learning for Semi-supervised Domain Adaptation. SDM 2021: 576-584 - [i74]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. CoRR abs/2101.03713 (2021) - [i73]Zaid Khan, Yun Fu:
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. CoRR abs/2102.02320 (2021) - [i72]Sara Bunian, Kai Li, Chaima Jemmali, Casper Harteveld, Yun Fu, Magy Seif El-Nasr:
VINS: Visual Search for Mobile User Interface Design. CoRR abs/2102.05216 (2021) - [i71]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Emerging Paradigms of Neural Network Pruning. CoRR abs/2103.06460 (2021) - [i70]Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu:
Skeleton Aware Multi-modal Sign Language Recognition. CoRR abs/2103.08833 (2021) - [i69]Joseph P. Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu:
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. CoRR abs/2103.09118 (2021) - [i68]Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution. CoRR abs/2104.07473 (2021) - [i67]Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu:
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks. CoRR abs/2104.08689 (2021) - [i66]Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu:
Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning. CoRR abs/2104.09136 (2021) - [i65]Huan Wang, Can Qin, Yue Bai, Yun Fu:
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning. CoRR abs/2105.05916 (2021) - [i64]Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu:
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. CoRR abs/2106.11514 (2021) - [i63]Zaid Khan, Yun Fu:
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation. CoRR abs/2108.01682 (2021) - [i62]Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao:
A New Backbone for Hyperspectral Image Reconstruction. CoRR abs/2108.07739 (2021) - [i61]Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu:
Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble. CoRR abs/2110.06161 (2021) - [i60]Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. CoRR abs/2111.00598 (2021) - [i59]Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu:
SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation. CoRR abs/2111.12896 (2021) - [i58]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Semi-supervised Domain Adaptive Structure Learning. CoRR abs/2112.06161 (2021) - [i57]Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu:
Adversarial Memory Networks for Action Prediction. CoRR abs/2112.09875 (2021) - 2020
- [j105]Yu Kong, Zhiqiang Tao, Yun Fu:
Adversarial Action Prediction Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 539-553 (2020) - [j104]Shuhui Jiang, Zhengming Ding, Yun Fu:
Heterogeneous Recommendation via Deep Low-Rank Sparse Collective Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1097-1111 (2020) - [j103]Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu:
Guided Attention Inference Network. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 2996-3010 (2020) - [j102]Yi Tian, Yu Kong, Qiuqi Ruan, Gaoyun An, Yun Fu:
Aligned Dynamic-Preserving Embedding for Zero-Shot Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(6): 1597-1612 (2020) - [j101]Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu:
Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2801-2814 (2020) - [j100]Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu:
Arc-Support Line Segments Revisited: An Efficient High-Quality Ellipse Detection. IEEE Trans. Image Process. 29: 768-781 (2020) - [j99]Kunpeng Li, Yu Kong, Yun Fu:
Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks. IEEE Trans. Image Process. 29: 3311-3320 (2020) - [j98]Shuhan Chen, Xiuli Tan, Ben Wang, Huchuan Lu, Xuelong Hu, Yun Fu:
Reverse Attention-Based Residual Network for Salient Object Detection. IEEE Trans. Image Process. 29: 3763-3776 (2020) - [j97]Shuhui Jiang, Zhaowen Wang, Aaron Hertzmann, Hailin Jin, Yun Fu:
Visual Font Pairing. IEEE Trans. Multim. 22(8): 2086-2097 (2020) - [j96]Shuhui Jiang, Haiyi Mao, Zhengming Ding, Yun Fu:
Deep Decision Tree Transfer Boosting. IEEE Trans. Neural Networks Learn. Syst. 31(2): 383-395 (2020) - [j95]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(2): 600-611 (2020) - [c222]Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu:
Lifelong Spectral Clustering. AAAI 2020: 5867-5874 - [c221]Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu:
Dual Relation Semi-Supervised Multi-Label Learning. AAAI 2020: 6227-6234 - [c220]Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu:
Joint Super-Resolution and Alignment of Tiny Faces. AAAI 2020: 12693-12700 - [c219]Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner:
Face Recognition: Too Bias, or Not Too Bias? CVPR Workshops 2020: 1-10 - [c218]Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu:
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution. CVPR 2020: 3357-3366 - [c217]