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Jiashi Feng(冯佳时)

Associate Professor

Department of electrical and computer engineering, National University of Singapore

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I am interested in big contaminated data analysis, online and distributed robust learning as well as their applications in object recognition.

Papers324 papers

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Predicting Alzheimer's disease progression using deep recurrent neural networks

Minh Nguyen, Tong He, Lijun An,Daniel C Alexander,Jiashi Feng

NeuroImage, pp.117203-35, (2020)

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ConvBERT: Improving BERT with Span-based Dynamic Convolution

Zihang Jiang, Weihao Yu, Daquan Zhou,Yunpeng Chen,Jiashi Feng,Shuicheng Yan

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Few-shot Classification via Adaptive Attention

Zihang Jiang,Bingyi Kang, Kuangqi Zhou,Jiashi Feng

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ORDNet: Capturing Omni-Range Dependencies for Scene Parsing

Shaofei Huang,Si Liu, Tianrui Hui,Jizhong Han,Bo Li,Jiashi Feng,Shuicheng Yan

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, (2020)

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Towards Age-Invariant Face Recognition

Jian Zhao,Shuicheng Yan,Jiashi Feng

IEEE transactions on pattern analysis and machine intelligence, (2020)

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The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation

Tao Wang,Yu Li,Bingyi Kang,Junnan Li,Junhao Liew,Sheng Tang,Steven Hoi,Jiashi Feng

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Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition

Chenyang Si,Xuecheng Nie,Wei Wang,Liang Wang,Tieniu Tan,Jiashi Feng

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Combating Domain Shift with Self-Taught Labeling

Jian Liang, Dapeng Hu,Jiashi Feng

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Rethinking Bottleneck Structure for Efficient Mobile Network Design

Zhou Daquan,Qibin Hou,Yunpeng Chen,Jiashi Feng,Shuicheng Yan

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Local Grid Rendering Networks for 3D Object Detection in Point Clouds

Jianan Li,Jiashi Feng

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Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation

Jianfeng Zhang,Xuecheng Nie,Jiashi Feng

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Deep Subspace Clustering

Xi Peng,Jiashi Feng,Joey Tianyi Zhou, Yingjie Lei,Shuicheng Yan

IEEE transactions on neural networks and learning systems, (2020)

Cited by2WOSBibtex

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

Thomas Schaffter,Diana S M Buist,Christoph I Lee, Yaroslav Nikulin, Dezso Ribli, Yuanfang Guan, William Lotter, Zequn Jie, Hao Du, Sijia Wang,Jiashi Feng, Mengling Feng

JAMA network open, no. 3 (2020)

Cited by1WOSBibtex

Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation

Zhou Kuangqi, Hou Qibin, Li Zun,Feng Jiashi

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Effective Training Strategies for Deep Graph Neural Networks

Zhou Kuangqi, Dong Yanfei, Lee Wee Sun,Hooi Bryan, Xu Huan,Feng Jiashi

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Boosting Few-Shot Learning With Adaptive Margin Loss

Aoxue Li,Weiran Huang,Xu Lan,Jiashi Feng,Zhenguo Li,Liwei Wang

CVPR, pp.12573-12581, (2020)

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Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax

Yu Li,Tao Wang,Bingyi Kang,Sheng Tang, Chunfeng Wang,Jintao Li,Jiashi Feng

CVPR, pp.10988-10997, (2020)

Cited by1EIBibtex

Improving Convolutional Networks With Self-Calibrated Convolutions

Jiang-Jiang Liu, Qibin Hou,Ming-Ming Cheng,Changhu Wang,Jiashi Feng

CVPR, pp.10093-10102, (2020)

EIBibtex

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

Wentao Jiang,Si Liu, Chen Gao, Jie Cao,Ran He,Jiashi Feng,Shuicheng Yan

CVPR, pp.5193-5201, (2020)

Cited by3EIBibtex

Revisiting Knowledge Distillation via Label Smoothing Regularization

Li Yuan,Francis EH Tay,Guilin Li,Tao Wang,Jiashi Feng

CVPR, pp.3902-3910, (2020)

Cited by2EIBibtex

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