(* denotes equal contribution)

MoDE: CLIP Data Experts via Clustering

    • Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024  [PDF][Code]

WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization

    • Jiawei Ma, Yulei Niu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang
    • Arxiv.org (Work in Progress) [PDF]

Rapidly Adaptable Automated Interpretation of Point-of-Care COVID-19 Diagnostics

    • Arumugam S.*, Ma J.*, Macar U., Han G., McAulay K., Ingram D., Ying A., Hartadas H, Chern T, Reilly K, Colburn D.A., Stanciu R., Duffy C, Williams A, Grys T. and Chang S.F., Sia S.K
    • Communications Medicine 2023 (Nature Portfolio) [PDF]

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

    • Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang 
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023  [PDF][Code]
    • Report in CVPR Daily Magazine (Cover Photo)

Supervised Masked Knowledge Distillation for Few-Shot Transformers

    • Han Lin*, Guangxing Han*, Jiawei Ma, Shiyuan Huang, Xudong Lin, Shih-Fu Chang 
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [PDF][Code]

TempCLR: Temporal Alignment Representation with Contrastive Learning

    • Yuncong Yang*, Jiawei Ma*, Shiyuan Huang, Long Chen, Xudong Lin, Guangxing Han, Shih-Fu Chang 
    • International Conference on Learning Representations (ICLR), 2023 [PDF][code][slides][pre]

Do We Need Neural Collapse? Learning Diverse Features for Fine-grained and Long-tail Classification

    • Jiawei Ma, Chong You, Sashank J Reddi, Sadeep Jayasumana, Himanshu Jain, Felix Yu, Shih-Fu Chang, Sanjiv Kumar
    • Openreview.org (Work in Progress) [PDF]

Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads

    • Jiawei Ma, Guangxing Han, Shiyuan Huang, Yuncong Yang, Shih-Fu Chang
    • European Conference on Computer Vision (ECCV), 2022

Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition

    • Shiyuan Huang*, Jiawei Ma*, Guangxing Han, Shih-Fu Chang
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [pdf][code]

Few-Shot Object Detection with Fully Cross-Transformer

    • Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Shih-Fu Chang
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral) [pdf][code]

Few-shot Gaze Estimation with Model Offset Predictors

    • Jiawei Ma, Xu Zhang, Yue Wu, Varsha Hedau, Shih-Fu Chang
    • International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

    • Guangxing Han, Shiyuan Huang,  Jiawei Ma, Yicheng He, Shih-fu Chang
    • Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022 (Oral). [pdf][code]

Partner-Assisted Learning for Few-Shot Image Classification

    • Jiawei Ma*, Hanchen Xie*, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael AbdAlmageed
    • IEEE/CVF International Conference on Computer Vision (ICCV), 2021. [pdf]

Query Adaptive Few-Shot Object Detection with Hierarchical (Heterogeneous) Graph Convolutional Networks

    • Guangxing Han, Yicheng He, Shiyuan Huang, Jiawei Ma, Shih-Fu Chang
    • IEEE/CVF International Conference on Computer Vision (ICCV), 2021. [pdf][code]

COVID-19 literature knowledge graph construction and drug repurposing report generation

    • Wang, Q., Li, M., Wang, X., Parulian, N., Han, G., Ma, J., … …
    • Best Demo Award at NAACL-HLT 2021 System Demonstrations. [pdf][poster][web]

Snapshot Coherence Tomographic Imaging

    • Mu Qiao, Yangyang Sun, Jiawei Ma, Ziyi Meng, Xuan Liu, Xin Yuan
    • IEEE Transactions on Computational Imaging. [pdf]
  • End-to-end low cost compressive spectral imaging with spatial-spectral self-attention
    • Ziyi Meng*, Jiawei Ma*, Xin Yuan
    • European Conference on Computer Vision (ECCV), 2020. [pdf][code]

CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation

    • Jiawei Ma*, Zheng Shou*, Alireza Zareian, Hassan Mansour, Anthony Vetro, Shih-Fu Chang
    • preprint [pdf]

Deep tensor admm-net for snapshot compressive imaging

    • Jiawei Ma*, Xiao-Yang Liu*, Zheng Shou, Xin Yuan
    • IEEE/CVF International Conference on Computer Vision (ICCV), 2019. [pdf][code]