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Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning


Apr 19, 2021
Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu

* 10 pages, 2 figures 

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RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks


Apr 18, 2021
Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu

* 10 pages, 5 figures 

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Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution


Apr 15, 2021
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu

* Journal version of "Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution"(CVPR-2020). 14 pages, 14 figures 

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Skeleton Aware Multi-modal Sign Language Recognition


Mar 26, 2021
Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu

* This submission is a preprint version of our work SAM-SLR that ranked 1st at CVPR2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition 

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Balancing Biases and Preserving Privacy on Balanced Faces in the Wild


Mar 16, 2021
Joseph P Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu


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Skeleton Based Sign Language Recognition Using Whole-body Keypoints


Mar 16, 2021
Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu

* This submission is a preprint fact sheet version of our work at CVPR2021 Challenge on Looking at People Large Scale Signer Independent Isolated SLR 

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Emerging Paradigms of Neural Network Pruning


Mar 11, 2021
Huan Wang, Can Qin, Yulun Zhang, Yun Fu


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VINS: Visual Search for Mobile User Interface Design


Feb 10, 2021
Sara Bunian, Kai Li, Chaima Jemmali, Casper Harteveld, Yun Fu, Magy Seif El-Nasr


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One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision


Feb 03, 2021
Zaid Khan, Yun Fu

* Published as a conference paper at the 4th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021) 

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Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts


Jan 11, 2021
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister


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Neural Pruning via Growing Regularization


Dec 16, 2020
Huan Wang, Can Qin, Yulun Zhang, Yun Fu


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Multimodal In-bed Pose and Shape Estimation under the Blankets


Dec 12, 2020
Yu Yin, Joseph P. Robinson, Yun Fu


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SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis


Dec 07, 2020
Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu


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Multi-head Knowledge Distillation for Model Compression


Dec 05, 2020
Huan Wang, Suhas Lohit, Michael Jones, Yun Fu

* Copyright: 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Knowledge Distillation Thrives on Data Augmentation


Dec 05, 2020
Huan Wang, Suhas Lohit, Michael Jones, Yun Fu

* Code will be updated soon 

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Collaborative Attention Mechanism for Multi-View Action Recognition


Sep 14, 2020
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu


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Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection


Aug 17, 2020
Shuhan Chen, Yun Fu

* ECCV 2020 

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Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship


Jul 28, 2020
Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu


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Visual Kinship Recognition: A Decade in the Making


Jun 29, 2020
Joseph P Robinson, Ming Shao, Yun Fu


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Neural Sparse Representation for Image Restoration


Jun 08, 2020
Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang


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Pyramid Attention Networks for Image Restoration


Jun 03, 2020
Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi


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HyperSTAR: Task-Aware Hyperparameters for Deep Networks


May 21, 2020
Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu

* Published at CVPR 2020 (Oral) 

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Learnable Subspace Clustering


Apr 09, 2020
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu

* IEEE Transactions on Neural Networks and Learning Systems (accepted with minor revision) 

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Cross-Domain Document Object Detection: Benchmark Suite and Method


Mar 30, 2020
Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu

* To appear in CVPR 2020 

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Adversarial Feature Hallucination Networks for Few-Shot Learning


Mar 30, 2020
Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu

* To appear in CVPR 2020 

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Generative Partial Multi-View Clustering


Mar 29, 2020
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

* This paper is an extension to our previous work: "Wang Q, Ding Z, Tao Z, et al. Partial multi-view clustering via consistent GAN[C]//2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018: 1290-1295." 

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Recognizing Families In the Wild (RFIW): The 4th Edition


Mar 09, 2020
Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu

* White Paper for challenge in conjunction with 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) 

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Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution


Feb 26, 2020
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu

* This work is accepted in CVPR 2020. The source code and pre-trained model are available on https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020. 12 pages, 10 figures 

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