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Yu Liu
Multi-teacher Knowledge Distillation for Knowledge Graph Completion

Oct 19, 2020
Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng

* 11 pages, 4 figures 
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On the Exploration of Incremental Learning for Fine-grained Image Retrieval

Oct 15, 2020
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael Lew

* BMVC2020 
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Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

Sep 18, 2020
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew Blaschko, Tinne Tuytelaars, Marie-Francine Moens


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Image Retrieval for Structure-from-Motion via Graph Convolutional Network

Sep 17, 2020
Shen Yan, Yang Pen, Shiming Lai, Yu Liu, Maojun Zhang


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Discriminability Distillation in Group Representation Learning

Sep 01, 2020
Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu

* To appear in Proceedings of the European Conference on Computer Vision (ECCV), 2020 
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Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020

Aug 26, 2020
Haisheng Su, Jinyuan Feng, Hao Shao, Zhenyu Jiang, Manyuan Zhang, Wei Wu, Yu Liu, Hongsheng Li, Junjie Yan

* Submitted to CVPR workshop of ActivityNet Challenge 2020 
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Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification

Aug 06, 2020
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

* Accepted by ACM MM 2020 poster. 12 pages, 10 appendixes 
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Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases

Jul 08, 2020
Yu Liu, Quanming Yao, Yong Li

* WWW 2020 
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1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

Jun 16, 2020
Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu

* arXiv admin note: substantial text overlap with arXiv:2006.07976 
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Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion

Apr 08, 2020
Xiao Jiang, Gang Li, Yu Liu, Xiao-Ping Zhang, You He

* 15 pages, 14 figures, Accepted by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 
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Anisotropic Convolutional Networks for 3D Semantic Scene Completion

Apr 05, 2020
Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan


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DPGN: Distribution Propagation Graph Network for Few-shot Learning

Apr 01, 2020
Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu

* Accepted by CVPR 2020 
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Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images

Mar 18, 2020
Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang

* To appear in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. Code and models are available at: https://github.com/Hangz-nju-cuhk/Rotate-and-Render 
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1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation

Mar 17, 2020
Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang


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KPNet: Towards Minimal Face Detector

Mar 17, 2020
Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan

* AAAI 2020 
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Revisiting the Sibling Head in Object Detector

Mar 17, 2020
Guanglu Song, Yu Liu, Xiaogang Wang

* Accept to CVPR 2020 & Method of Champion of OpenImage Challenge 2019, detection track 
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Top-1 Solution of Multi-Moments in Time Challenge 2019

Mar 13, 2020
Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan


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3D Gated Recurrent Fusion for Semantic Scene Completion

Feb 17, 2020
Yu Liu, Jie Li, Qingsen Yan, Xia Yuan, Chunxia Zhao, Ian Reid, Cesar Cadena

* 13 pages 
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Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning

Feb 11, 2020
Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian Reid

* 8 pages 
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Depth Based Semantic Scene Completion with Position Importance Aware Loss

Jan 30, 2020
Yu Liu, Jie Li, Xia Yuan, Chunxia Zhao, Roland Siegwart, Ian Reid, Cesar Cadena

* ICRA2020 In Conjuction With RAL 
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Temporal Interlacing Network

Jan 17, 2020
Hao Shao, Shengju Qian, Yu Liu

* Accepted to AAAI 2020. Winning entry of ICCV Multi-Moments in Time Challenge 2019. Code is available at https://github.com/deepcs233/TIN 
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Search to Distill: Pearls are Everywhere but not the Eyes

Nov 20, 2019
Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang


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Learning Motion Priors for Efficient Video Object Detection

Nov 13, 2019
Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Qian Zhang, Shiming Xiang, Chunhong Pan


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A game method for improving the interpretability of convolution neural network

Oct 21, 2019
Jinwei Zhao, Qizhou Wang, Fuqiang Zhang, Wanli Qiu, Yufei Wang, Yu Liu, Guo Xie, Weigang Ma, Bin Wang, Xinhong Hei


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Gradient Information Guided Deraining with A Novel Network and Adversarial Training

Oct 09, 2019
Yinglong Wang, Haokui Zhang, Yu Liu, Qinfeng Shi, Bing Zeng

* 12 pages, 9 figures, 4 tables 
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Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation

Sep 28, 2019
Yu Liu, Lingqiao Liu, Haokui Zhang, Hamid Rezatofighi, Ian Reid

* 9 pages 
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Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes

Sep 10, 2019
Changqing Xu, Wenrui Zhang, Yu Liu, Peng Li


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Towards Flops-constrained Face Recognition

Sep 02, 2019
Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan

* ICCV2019 LFR workshop 
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