Steven C. H. Hoi

Research interests

Publications

• BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

  arXiv (Cornell University) · 2023 · https://doi.org/10.48550/arxiv.2301.12597

• InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

  arXiv (Cornell University) · 2023 · https://doi.org/10.48550/arxiv.2305.06500

• CodeT5+: Open Code Large Language Models for Code Understanding and Generation

  Journal · 2023 · https://doi.org/10.18653/v1/2023.emnlp-main.68

• BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  arXiv (Cornell University) · 2022 · https://doi.org/10.48550/arxiv.2201.12086

• CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

  Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021 · https://doi.org/10.18653/v1/2021.emnlp-main.685

• Deep Learning for Person Re-Identification: A Survey and Outlook

  IEEE Transactions on Pattern Analysis and Machine Intelligence · 2021 · https://doi.org/10.1109/tpami.2021.3054775

• CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

  2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · https://doi.org/10.1109/iccv48922.2021.00934

• Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

  arXiv (Cornell University) · 2021 · https://doi.org/10.48550/arxiv.2107.07651

• VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results

  Journal · 2021 · https://doi.org/10.1109/iccvw54120.2021.00319

• Online learning: A comprehensive survey

  Neurocomputing · 2021 · https://doi.org/10.1016/j.neucom.2021.04.112

• DivideMix: Learning with Noisy Labels as Semi-supervised Learning

  arXiv (Cornell University) · 2020 · https://doi.org/10.48550/arxiv.2002.07394

• Deep Learning for Image Super-Resolution: A Survey

  IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020 · https://doi.org/10.1109/tpami.2020.2982166

• Recent advances in deep learning for object detection

  Neurocomputing · 2020 · https://doi.org/10.1016/j.neucom.2020.01.085

• Prototypical Contrastive Learning of Unsupervised Representations

  arXiv (Cornell University) · 2020 · https://doi.org/10.48550/arxiv.2005.04966

• Robust Graph Learning From Noisy Data

  IEEE Transactions on Cybernetics · 2019 · https://doi.org/10.1109/tcyb.2018.2887094

• Salient Object Detection With Pyramid Attention and Salient Edges

  Journal · 2019 · https://doi.org/10.1109/cvpr.2019.00154

• Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering

  Journal · 2019 · https://doi.org/10.1109/cvpr.2019.00680

• Face detection using deep learning: An improved faster RCNN approach

  Neurocomputing · 2018 · https://doi.org/10.1016/j.neucom.2018.03.030

• Malicious URL Detection using Machine Learning: A Survey

  arXiv (Cornell University) · 2017 · https://doi.org/10.48550/arxiv.1701.07179

• Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches

  Journal · 2015 · https://doi.org/10.1109/cvpr.2015.7298632

• Deep Learning for Content-Based Image Retrieval

  Journal · 2014 · https://doi.org/10.1145/2647868.2654948

• AR-miner: mining informative reviews for developers from mobile app marketplace

  Journal · 2014 · https://doi.org/10.1145/2568225.2568263

• Online Feature Selection and Its Applications

  IEEE Transactions on Knowledge and Data Engineering · 2013 · https://doi.org/10.1109/tkde.2013.32

• Learning Distance Metrics with Contextual Constraints for Image Retrieval

  Journal · 2006 · https://doi.org/10.1109/cvpr.2006.167

• Batch mode active learning and its application to medical image classification

  Journal · 2006 · https://doi.org/10.1145/1143844.1143897

Current projects

No projects listed.