Jiashi Feng - AI Profile

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Assistant Professor

Department of Electrical and Computer Engineering, National University of Singapore

Experience

Education

Bio

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

Research Interests

Papers373 papers

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Multi-Human Parsing With a Graph-based Generative Adversarial Model

J LI, J ZHAO, C LANG, Y LI, Y WEI, G GUO, T SIM,S YAN,J FENG

ACM Trans. Multim. Comput. Commun. Appl., no. 1 (2021): 1-21

EIBibtex

Anytime Recognition with Routing Convolutional Networks

Zequn Jie, Peng Sun, Xin Li,Jiashi Feng,Wei Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 6 (2021): 1875-1886

Cited by1WOSEIBibtex

Tensor Low-rank Representation for Data Recovery and Clustering

Pan Zhou, Canyi Lu,Jiashi Feng,Zhouchen Lin,Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., no. 5 (2021): 1718-1732

Cited by8WOSEIBibtex

Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal Representations

Meng-Jiun Chiou, Roger Zimmermann,Jiashi Feng

IEEE Access, pp.1-1, (2021)

Bibtex

Domain Adaptation with Auxiliary Target Domain-Oriented Classifier

Jian Liang, Dapeng Hu,Jiashi Feng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021)

Bibtex

Learning Safe Policies with Cost-sensitive Advantage Estimation

Bingyi Kang, Shie Mannor,Jiashi Feng

Bibtex

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing

Kaixin Wang,Kuangqi Zhou, Qixin Zhang, Jie Shao,Bryan Hooi,Jiashi Feng

ICML, pp.11003-11012, (2021)

EIBibtex

AggMask: Exploring locally aggregated learning of mask representations for instance segmentation

Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen,Jiashi Feng

Bibtex

Deep Spatio-Frequency Saliency Detection

Zun Li,Congyan Lang,Tao Wang,Yidong Li,Jiashi Feng

Neurocomputing, (2021): 645-655

EIBibtex

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang,Jiashi Feng

Bibtex

Exploring Balanced Feature Spaces for Representation Learning

Bingyi Kang,Yu Li, Sa Xie,Zehuan Yuan,Jiashi Feng

ICLR, (2021)

EIBibtex

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Francis EH Tay,Jiashi Feng, Shuicheng Yan

Cited by2Bibtex

CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection

Hanshu Yan,Jingfeng Zhang,Gang Niu,Jiashi Feng,Vincent Y. F. Tan,Masashi Sugiyama

ICML, pp.11693-11703, (2021)

EIBibtex

DANCE: A Deep Attentive Contour Model for Efficient Instance Segmentation

Z Liu, JH Liew, X Chen,J Feng

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), pp.345-354, (2021)

EIWOSBibtex

Deep Interactive Thin Object Selection

Jun Hao Liew, Scott Cohen, Brian Price, Long Mai,Jiashi Feng

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), pp.305-314, (2021)

EIWOSBibtex

Dual Adversarial Autoencoders for Clustering

Pengfei Ge,Chuan-Xian Ren,Dao-Qing Dai,Jiashi Feng,Shuicheng Yan

IEEE transactions on neural networks and learning systems, no. 4 (2020): 1417-1424

Cited by10WOSEIBibtex

Heterogeneous Domain Adaptation via Covariance Structured Feature Translators

Chuan-Xian Ren,Jiashi Feng,Dao-Qing Dai,Shuicheng Yan

IEEE Trans. Cybern., no. 4 (2020): 2166-2177

Cited by4WOSEIBibtex

Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks

Li Yuan, Francis Eng Hock Tay, Ping Li,Jiashi Feng

Cited by4Bibtex

Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning

Sun Mingjie,Xiao Jimin,Lim Eng Gee, Xie Yanchu,Feng Jiashi

Pattern Recognition, (2020): 107465

Cited by3Bibtex

RAIN: A Simple Approach for Robust and Accurate Image Classification Networks

J Du, H Yan, VYF Tan, J Tianyi Zhou, R Siow Mong Goh,J Feng

Cited by1Bibtex

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Author Statistics

Jiashi Feng(冯佳时)Assistant Professor

Papers373 papers