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Weide Liu

Research Fellow
Harvard Medical School, Harvard University
weide001(at)e(dot)ntu(dot)edu(dot)sg

Biography


Weide Liu is currently a Research Fellow at Harvard Medical School, Harvard University. Before that, he was a Research Scientist at A*Star and ByteDance AI Lab in Singapore. Weide received his Ph.D. from Nanyang Technological Unversity, where he was advised by Prof. Lin Guosheng, and he also earned a Bachelor’s degree from the university’s School of Electrical and Electronic Engineering (EEE). His research interests include computer vision, language, machine learning, federated learning, and medical image analysis. If you are interested in joining/visiting or remotely collaborating with our group at Harvard Medical School, please do not hesitate to drop me an email with your resume. Looking for visiting Ph.D. students under the support of CSC or other fundings.

News

Selected Publications

CRNet: Cross-Reference Networks for Few-Shot Segmentation
Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR.

Guided Co-Segmentation Network for Fast Video Object Segmentation Paper Link
Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu
IEEE Transactions on Circuits and Systems for Video Technology(TCSVT)


CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks Paper Link
Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu
International Journal of Computer Vision(IJCV)


Weakly Supervised Segmentation with Maximum Bipartite Graph Matching Paper Link
Weide Liu, Chi Zhang, Guosheng Lin, Tzu-Yi HUNG, Chunyan Miao
Proceedings of the 28th ACM International Conference on Multimedia (28th ACM MM )


Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation Paper Link
Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot
European Conference on Computer Vision (ECCV 2020)


Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation Paper Link / Github
Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin
IEEE Transactions on Multimedia(TMM)


Few-shot Segmentation with Optimal Transport Matching and Message Flow Paper Link / Github
Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin
IEEE Transactions on Multimedia(TMM)


Distilling Knowledge from Object Classification to Aesthetics Assessment Paper Link
Jingwen Hou, Henghui Ding, Weisi Lin, Weide Liu, Yuming Fang
IEEE Transactions on Circuits and Systems for Video Technology(TCSVT)


Interaction-Matrix Based Personalized Image Aesthetics Assessment Paper Link
Jingwen Hou, Weisi Lin, Guanghui Yue, Weide Liu, Baoquan Zhao
IEEE Transactions on Multimedia(TMM)


ELFNet: Evidential Local-global Fusion for Stereo Matching Paper Link / Github
Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng
IEEE International Conference on Computer Vision(ICCV)


Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation Paper Link / Github
Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin
International Journal of Computer Vision (IJCV)


Activities

  • Track Chair: IECON 2023.
  • Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, IJCAI, ACCV, ICASSP, ICME, MICCAI, ICIP, etc.
  • Journal Reviewer: TPAMI, IJCV, TIP, TNNLS, TMM, TCSVT, TIFS, SPL, JBHI, TETCI, PR, etc.

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