Research Interests
Computer Vision Machine learning Artificial Intelligence Video processing Image ProcessingProf Minh Hoai Nguyen
Professor of Computer Vision
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Minh Hoai Nguyen is a Professor of Computer Vision at the Australian Institute for Machine Learning (AIML) and the School of Computer and Mathematical Sciences (CMS) at the University of Adelaide. Before joining the University of Adelaide, he was a tenured Associate Professor at Stony Brook University from 2014 until 2024. During this time, he also took a leave to work at VinAI in Vietnam. He received a Bachelor of Software Engineering from the University of New South Wales in 2006 and a Ph.D. in Robotics from Carnegie Mellon University in 2012. His research interests lie in computer vision and machine learning. In 2012, Nguyen and his coauthor received the Best Student Paper Award at the IEEE Conference On Computer Vision and Pattern Recognition (CVPR).Google Scholar page: https://scholar.google.com/citations?user=hRV0tY4AAAAJ&hl=enPersonal website: https://minhhoai.net
| Date | Position | Institution name |
|---|---|---|
| 2024 - ongoing | Professor | Univesity of Adelaide |
| 2020 - 2023 | Associate Professor | Stony Brook University |
| 2019 - ongoing | Consulting Research Scientist | VinAI Research |
| 2014 - 2020 | Assistant Professor | Stony Brook University |
| 2013 - 2014 | Junior Research Fellow | University of Oxford |
| Language | Competency |
|---|---|
| English | Can read, write, speak, understand spoken and peer review |
| Vietnamese | Can read, write, speak, understand spoken and peer review |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2006 - 2012 | Carnegie Mellon University | United States | PhD in Robotics |
| 2002 - 2005 | The University of New South Wales | Australia | Bachelor of Software Engineering |
| Date | Title | Institution | Country |
|---|---|---|---|
| 2012 - 2014 | Postdoctoral Research | University of Oxford | United Kingdom |
| Year | Citation |
|---|---|
| 2025 | Hartley, R., Jawahar, C. V., Nguyen, M. H., & Samaras, D. (2025). Foreword. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 15472 LNCS, v-vi. |
| 2025 | Hartley, R., Jawahar, C. V., Nguyen, M. H., & Samaras, D. (2025). Foreword. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 15474 LNCS, v-vi. |
| 2025 | Hartley, R., Jawahar, C. V., Nguyen, M. H., & Samaras, D. (2025). Foreword. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 15481 LNCS, v-vi. |
| 2025 | Nguyen, D. D., Nguyen, L. T., Huang, Y., Pham, C., & Hoai, M. (2025). Class-Agnostic Repetitive Action Counting Using Wearable Devices. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(6), 1-13. |
| 2023 | Bui, H., Nguyen, M. H., Nguyen, D. Q., Pham, L., & Phung, D. (2023). Building and Nurturing AI Development in Vietnam. Communications of the ACM, 66(7), 75-76. |
| 2022 | Sun, S., Annadi, R. R., Chaudhri, I., Munir, K., Hajagos, J., Saltz, J., . . . Koraishy, F. M. (2022). Short- and Long-Term Recovery after Moderate/Severe AKI in Patients with and without COVID-19. Kidney360, 3(2), 242-257. Scopus18 WoS17 Europe PMC14 |
| 2022 | Ali, F. Z., Wengler, K., He, X., Nguyen, M. H., Parsey, R. V., & DeLorenzo, C. (2022). Gradient boosting decision-tree-based algorithm with neuroimaging for personalized treatment in depression. Neuroscience Informatics, 2(4), 100110. Scopus16 Europe PMC5 |
| 2021 | Zelinsky, G. J., Chen, Y., Ahn, S., Adeli, H., Yang, Z., Huang, L., . . . Hoai, M. (2021). Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning.. Neurons, behavior, data analysis, and theory, 2021(2). Europe PMC5 |
| 2021 | Chen, Y., Yang, Z., Ahn, S., Samaras, D., Hoai, M., & Zelinsky, G. (2021). COCO-Search18 fixation dataset for predicting goal-directed attention control. Scientific Reports, 11(1), 11 pages. Scopus39 WoS17 Europe PMC11 |
| 2021 | Hou, L., Vicente, T. F. Y., Hoai, M., & Samaras, D. (2021). Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4), 1337-1351. Scopus24 WoS18 Europe PMC2 |
| 2021 | Wei, Z., Wang, B., Hoai, M., Zhang, J., Shen, X., Lin, Z., . . . Samaras, D. (2021). Sequence-to-Segments Networks for Detecting Segments in Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3), 1009-1021. Scopus10 WoS15 Europe PMC5 |
| 2021 | Do, N., Truong, D., Nguyen, D., Hoai, M., & Pham, C. (2021). Self-controlling photonic-on-chip networks with deep reinforcement learning. Scientific Reports, 11(1), 18 pages. Scopus11 WoS8 Europe PMC3 |
| 2021 | Huang, X., Jamonnak, S., Zhao, Y., Wang, B., Hoai, M., Yager, K., & Xu, W. (2021). Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images. IEEE Transactions on Visualization and Computer Graphics, 27(2), 1312-1321. Scopus8 WoS6 Europe PMC4 |
| 2020 | Chaudhri, I., Moffitt, R., Taub, E., Annadi, R. R., Hoai, M., Bolotova, O., . . . Koraishy, F. M. (2020). Association of Proteinuria and Hematuria with Acute Kidney Injury and Mortality in Hospitalized Patients with COVID-19. Kidney and Blood Pressure Research, 45(6), 1018-1032. Scopus50 WoS40 Europe PMC37 |
| 2018 | Liu, Y., Hoai, M., Shao, M., & Kim, T. K. (2018). Latent Bi-Constraint SVM for Video-Based Object Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 28(10), 3044-3052. Scopus7 WoS7 |
| 2018 | Wang, B., & Hoai, M. (2018). Back to the beginning: Starting point detection for early recognition of ongoing human actions. Computer Vision and Image Understanding, 175, 24-31. Scopus11 WoS8 |
| 2018 | Vicente, T. F. Y., Hoai, M., & Samaras, D. (2018). Leave-One-Out Kernel Optimization for Shadow Detection and Removal. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(3), 682-695. Scopus150 WoS125 Europe PMC15 |
| 2017 | Wei, Z., Adeli, H., Hoai, M., Zelinsky, G., & Samaras, D. (2017). Predicting Scanpath Agreement during Scene Viewing using Deep Neural Networks. Journal of Vision, 17(10), 749. |
| 2014 | Hoai, M., & De La Torre, F. (2014). Max-margin early event detectors. International Journal of Computer Vision, 107(2), 191-202. Scopus181 WoS150 |
| 2014 | Hoai, M., Torresani, L., De La Torre, F., & Rother, C. (2014). Learning discriminative localization from weakly labeled data. Pattern Recognition, 47(3), 1523-1534. Scopus32 WoS31 |
| 2010 | Nguyen, M. H., & De La Torre, F. (2010). Metric learning for image alignment. International Journal of Computer Vision, 88(1), 69-84. Scopus15 WoS11 |
| 2010 | Nguyen, M. H., & de la Torre, F. (2010). Optimal feature selection for support vector machines. Pattern Recognition, 43(3), 584-591. Scopus207 WoS165 |
| 1988 | DERYCKE, A., VIEVILLE, C., POISSON, D., STACH, C., & NGUYEN, M. H. (1988). NANORESEAU, EDUCATIONAL UTILIZATION OF A LOCAL-NETWORK. TSI-TECHNIQUE ET SCIENCE INFORMATIQUES, 7(1), 7-20. |
| - | Zelinsky, G. J., Ahn, S., Yang, Z., Chen, Y., Mondal, S., Hoai, M., & Samaras, D. (2023). Reward Maps Predict Target-present and Target-absent Visual Search. Journal of Vision, 23(9), 5161. |
| Year | Citation |
|---|---|
| 2025 | Mondal, S., Ahn, S., Yang, Z., Balasubramanian, N., Samaras, D., Zelinsky, G., & Hoai, M. (2025). Look Hear: Gaze Prediction for Speech-Directed Human Attention. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15100 LNCS (pp. 236-255). Milan, Italy: Springer Science and Business Media Deutschland GmbH. DOI Scopus1 |
| 2025 | Miao, Q., Graikos, A., Zhang, J., Mondal, S., Minh, H., & Samaras, D. (2025). Diffusion-Refined VQA Annotations for Semi-supervised Gaze Following. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), COMPUTER VISION - ECCV 2024, PT XXXIX Vol. 15097 (pp. 439-457). ITALY, Milan: SPRINGER INTERNATIONAL PUBLISHING AG. DOI |
| 2025 | Xue, R., Xu, J., Mondal, S., Le, H., Zelinsky, G., Hoai, M., & Samaras, D. (2025). Few-shot Personalized Scanpath Prediction. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 13497-13507). TN, Nashville: IEEE COMPUTER SOC. DOI |
| 2025 | Huang, Y., Chen, Z., Xu, Y., Hoai, M., & Li, Z. (2025). DualMat: PBR Material Estimation via Coherent Dual-Path Diffusion. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 9930-9939). ACM. DOI |
| 2024 | Chandran, P., Huang, Y., Munsell, J., Howatt, B., Wallace, B., Wilson, L., . . . Loschky, L. C. (2024). Characterizing Learners' Complex Attentional States During Online Multimedia Learning Using Eye-tracking, Egocentric Camera, Webcam, and Retrospective recalls. In Proceedings of the 2024 Symposium on Eye Tracking Research and Applications Vol. 2024 (pp. 7 pages). Online: ACM. DOI Scopus4 WoS3 |
| 2024 | Rebello, N. S., Munsell, J., Chandran, P., Loschky, L. C., Huang, Y., Hoai, M., & D�Mello, S. (2024). Mapping students� self-reported cognitive load, situational engagement, and attentional-cognitive states in an online multimedia learning module. In 2024 Physics Education Research Conference Proceedings (pp. 354-360). Boston Massachusetts: American Association of Physics Teachers. DOI |
| 2024 | Nguyen, P., Do, A., & Hoai, M. (2024). Detecting Omissions in Geographic Maps through Computer Vision. In 2024 International Conference on Multimedia Analysis and Pattern Recognition, MAPR 2024 - Proceedings Vol. 6 (pp. 1-6). Da Nang: IEEE. DOI |
| 2024 | Yang, Z., Mondal, S., Ahn, S., Xue, R., Zelinsky, G., Hoai, M., & Samaras, D. (2024). Unifying Top-Down and Bottom-Up Scanpath Prediction Using Transformers. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1683-1693). Seattle, WA, USA: IEEE. DOI Scopus14 WoS7 |
| 2024 | Pham, B. -D., Tran, P., Tran, A., Pham, C., Nguyen, R., & Hoai, M. (2024). Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 30 (pp. 2804-2813). Seattle, WA, USA: IEEE. DOI Scopus13 WoS8 |
| 2024 | Lee, S., Lu, Z., Zhang, Z., Hoai, M., & Elhamifar, E. (2024). Error Detection in Egocentric Procedural Task Videos. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vol. abs/2105.10859 (pp. 18655-18666). Seattle, WA, USA: IEEE. DOI Scopus16 WoS6 |
| 2024 | Narasimhaswamy, S., Bhattacharya, U., Chen, X., Dasgupta, I., Mitra, S., & Hoai, M. (2024). HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 23 (pp. 2468-2479). Seattle, WA, USA: IEEE. DOI Scopus19 WoS9 |
| 2024 | Narasimhaswamy, S., Nguyen, H. A., Huang, L., & Hoai, M. (2024). HOIST-Former: Hand-Held Objects Identification, Segmentation, and Tracking in the Wild. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2351-2361). Seattle, WA, USA: IEEE. DOI Scopus4 WoS2 |
| 2024 | Huang, Y., Nguyen, D. D., Nguyen, L., Pham, C., & Hoai, M. (2024). Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 10057-10065). Online: AAAI. DOI Scopus2 WoS2 |
| 2023 | Ghosh, S., Aggarwal, T., Hoai, M., & Balasubramanian, N. (2023). Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation. In I. Augenstein, & A. Vlachos (Eds.), Proceedings OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023 (pp. 1882-1897). Online: ASSOC COMPUTATIONAL LINGUISTICS-ACL. |
| 2023 | Ghosh, S., Aggarwal, T., Hoai, M., & Balasubramanian, N. (2023). Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation. In EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023 (pp. 1837-1852). Dubrovnik, Croatia: ACL Anthology. DOI Scopus3 |
| 2023 | Huang, Y., Ranjan, V., & Hoai, M. (2023). Interactive Class-Agnostic Object Counting. In Proceedings of the IEEE International Conference on Computer Vision (pp. 22255-22265). Paris, France: IEEE. DOI Scopus9 WoS5 |
| 2023 | Zhang, Z., & Hoai, M. (2023). Object Detection with Self-Supervised Scene Adaptation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 21589-21599). Vancouver, CANADA.: IEEE COMPUTER SOC. DOI Scopus14 WoS13 |
| 2023 | Pham, B. D., Tran, P., Tran, A., Pham, C., Nguyen, R., & Hoai, M. (2023). HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 9843-9852). Online: IEEE COMPUTER SOC. DOI Scopus2 WoS1 |
| 2023 | Mondal, S., Yang, Z., Ahn, S., Samaras, D., Zelinsky, G., & Hoai, M. (2023). Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2023-June (pp. 1441-1450). Vancouver, BC, CANADA: IEEE COMPUTER SOC. DOI Scopus39 WoS22 |
| 2023 | Miao, Q., Hoai, M., & Samaras, D. (2023). Patch-level Gaze Distribution Prediction for Gaze Following. In Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 (pp. 880-889). Waikoloa, HI, USA: IEEE COMPUTER SOC. DOI Scopus23 WoS16 |
| 2023 | Tran, V., Balasubramanian, N., & Hoai, M. (2023). From Within to Between: Knowledge Distillation for Cross Modality Retrieval. In L. Wang, J. Gall, T. J. Chin, I. Sato, & R. Chellappa (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13844 LNCS (pp. 605-622). Macao, PEOPLES R CHINA: SPRINGER INTERNATIONAL PUBLISHING AG. DOI |
| 2023 | Tran, B., Hua, B. S., Tran, A. T., & Hoai, M. (2023). Self-supervised Learning with Multi-view Rendering for 3D Point Cloud Analysis. In J. Gall, T. J. Chin, I. Sato, R. Chellappa, & L. Wang (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13841 LNCS (pp. 413-431). Macao, China: SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus3 WoS3 |
| 2023 | Ranjan, V., & Nguyen, M. H. (2023). Exemplar Free Class Agnostic Counting. In L. Wang, J. Gall, T. J. Chin, I. Sato, & R. Chellappa (Eds.), Computer Vision – ACCV 2022 16th Asian Conference on Computer Vision, Proceedings Vol. 13844 (pp. 71-87). Macao, China: SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus5 WoS7 |
| 2022 | Ho, L. N., Tran, A. T., Phung, Q., & Hoai, M. (2022). Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images. In Proceedings of the IEEE International Conference on Computer Vision (pp. 12580-12590). Montreal, QC, Canada: IEEE. DOI Scopus8 WoS1 |
| 2022 | Nguyen, T., Pham, C., Nguyen, K., & Hoai, M. (2022). Few-Shot Object Counting and Detection. In S. Avidan, G. Brostow, M. Cisse, G. M. Farinella, & T. Hassner (Eds.), European Conference on Computer Vision. Computer Vision - ECCV Vol. 13680 (pp. 348-365). Tel Aviv, ISRAEL: SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus32 WoS23 |
| 2022 | Yang, Z., Mondal, S., Ahn, S., Zelinsky, G., Hoai, M., & Samaras, D. (2022). Target-Absent Human Attention. In S. Avidan, G. Brostow, M. Cisse, G. M. Farinella, & T. Hassner (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13664 (pp. 52-68). ISRAEL, Tel Aviv: SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus17 WoS11 Europe PMC1 |
| 2022 | Ranjan, V., & Hoai, M. (2022). Vicinal Counting Networks. In Conference on Computer Vision and Pattern Recognition Workshops IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Vol. 2022-June (pp. 4220-4229). New Orleans, LA, USA: IEEE. DOI Scopus14 WoS9 |
| 2022 | Chen, Y., Yang, Z., Chakraborty, S., Mondal, S., Ahn, S., Samaras, D., . . . Zelinsky, G. (2022). Characterizing Target-absent Human Attention. In Conference on Computer Vision and Pattern Recognition Workshops IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Vol. 2022 (pp. 5027-5036). New Orleans, LA, USA: IEEE. DOI Scopus15 WoS6 |
| 2022 | Huang, M., Narasimhaswamy, S., Vazir, S., Ling, H., & Hoai, M. (2022). Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild. In Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 6396-6406). New Orleans. LA, USA: IEEE. DOI Scopus10 WoS4 |
| 2022 | Narasimhaswamy, S., Nguyen, T., Huang, M., & Hoai, M. (2022). Whose Hands are These? Hand Detection and Hand-Body Association in the Wild. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 4879-4889). New Orleans, LA, USA: IEEE COMPUTER SOC. DOI Scopus20 WoS11 |
| 2021 | Nguyen, T., Tran, A. T., & Hoai, M. (2021). Lipstick ain't enough: Beyond color matching for in-the-wild makeup transfer. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 13300-13309). Nashville, TN, USA: IEEE COMPUTER SOC. DOI Scopus50 WoS46 |
| 2021 | Tran, V., Balasubramanian, N., & Hoai, M. (2021). PROGRESSIVE KNOWLEDGE DISTILLATION FOR EARLY ACTION RECOGNITION. In Proceedings - International Conference on Image Processing, ICIP Vol. 2021-September (pp. 2583-2587). Anchorage, AK, USA: IEEE. DOI Scopus10 WoS8 |
| 2021 | Ranjan, V., Sharma, U., Nguyen, T., & Hoai, M. (2021). Learning To Count Everything. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3393-3402). Nashville, TN, USA: IEEE COMPUTER SOC. DOI Scopus161 WoS122 |
| 2021 | Nguyen, N., Nguyen, T., Tran, V., Tran, M. T., Ngo, T. D., Nguyen, T. H., & Hoai, M. (2021). Dictionary-guided Scene Text Recognition. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 7379-7388). Nashville, TN, USA: IEEE COMPUTER SOC. DOI Scopus62 WoS42 |
| 2021 | Park, S., Hoai, M., Bhattacharya, A., & Das, S. R. (2021). Adaptive streaming of 360-degree videos with reinforcement learning. In Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021 (pp. 1838-1847). Waikoloa, HI, USA: IEEE COMPUTER SOC. DOI Scopus28 WoS20 |
| 2021 | Wang, Y., Bertasius, G., Oh, T. H., Gupta, A., Hoai, M., & Torresani, L. (2021). Supervoxel attention graphs for long-range video modeling. In Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021 (pp. 155-166). Waikoloa, HI, USA: IEEE COMPUTER SOC. DOI Scopus11 WoS6 |
| 2021 | Abousamra, S., Hoai, M., Samaras, D., & Chen, C. (2021). Localization in the Crowd with Topological Constraints. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 Vol. 2A (pp. 872-881). Virtual, Online: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. DOI Scopus128 WoS96 |
| 2021 | Tran, V., Wang, Y., Zhang, Z., & Hoai, M. (2021). KNOWLEDGE DISTILLATION FOR HUMAN ACTION ANTICIPATION. In Proceedings - International Conference on Image Processing, ICIP Vol. 2021-September (pp. 2518-2522). Anchorage, AK, USA: IEEE. DOI Scopus7 WoS6 |
| 2021 | Tran, P., Tran, A. T., Phung, Q., & Hoai, M. (2021). Explore image deblurring via encoded blur kernel space. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 11951-11960). Nashville, TN, USA: IEEE COMPUTER SOC. DOI Scopus78 WoS53 |
| 2021 | Huynh, C., Tran, A. T., Luu, K., & Hoai, M. (2021). Progressive semantic segmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 16750-16759). Nashville, TN, USA: IEEE COMPUTER SOC. DOI Scopus113 WoS89 |
| 2021 | Zhang, Z., Koraishy, F. M., & Hoai, M. (2021). Exemplar-Based Early Event Prediction in Video. In 32nd British Machine Vision Conference, BMVC 2021. Virtual, Online: British Machine Vision Association, BMVA. |
| 2020 | Wang, Y., Tran, V., Bertasius, G., Torresani, L., & Hoai, M. (2020). Attentive Action and Context Factorization. In 31st British Machine Vision Conference, BMVC 2020. Virtual, Online: British Machine Vision Association, BMVA. Scopus3 |
| 2020 | Nguyen, M. T., Phung, D., Hoai, M., & Nguyen, T. H. (2020). Structural and functional decomposition for personality image captioning in a communication game. In Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020 (pp. 4587-4593). Virtual, Online: Association for Computational Linguistics (ACL). Scopus2 WoS3 |
| 2020 | Wang, B., Liu, H., Samaras, D., & Hoai, M. (2020). Distribution matching for crowd counting. In Advances in Neural Information Processing Systems Vol. 2020-December. Virtual, Online: Neural information processing systems foundation. Scopus300 |
| 2020 | Narasimhaswamy, S., Nguyen, T., & Hoai, M. (2020). Detecting hands and recognizing physical contact in the wild. In Advances in Neural Information Processing Systems Vol. 2020-December. Virtual, Online: Neural information processing systems foundation. Scopus38 |
| 2020 | Ranjan, V., Wang, B., Shah, M., & Hoai, M. (2020). Uncertainty Estimation and Sample Selection for Crowd Counting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12626 LNCS (pp. 375-391). Virtual, Online: Springer International Publishing. DOI Scopus6 WoS2 |
| 2020 | Wei, Z., Zhang, J., Lin, Z., Lee, J. Y., Balasubramanian, N., Hoai, M., & Samaras, D. (2020). Learning Visual Emotion Representations from Web Data. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 13103-13112). Seattle, WA, USA: IEEE. DOI Scopus44 WoS12 |
| 2020 | Yang, Z., Huang, L., Chen, Y., Wei, Z., Ahn, S., Zelinsky, G., . . . Hoai, M. (2020). Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2020 (pp. 190-199). Seattle, WA, USA: IEEE. DOI Scopus85 WoS74 Europe PMC20 |
| 2020 | Shilkrot, R., Narasimhaswamy, S., Vazir, S., & Hoai, M. (2020). WorkingHands: A hand-tool assembly dataset for image segmentation and activity mining. In 30th British Machine Vision Conference 2019, BMVC 2019. Cardiff: BMVA Press. Scopus9 |
| 2020 | Wang, B., Huang, L., & Hoai, M. (2020). Active vision for early recognition of human actions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1078-1088). Seattle, WA, USA: IEEE. DOI Scopus16 WoS3 |
| 2019 | Zelinsky, G., Yang, Z., Huang, L., Chen, Y., Ahn, S., Wei, Z., . . . Hoai, M. (2019). Benchmarking gaze prediction for categorical visual search. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2019-June (pp. 828-836). CA, Long Beach: IEEE. DOI Scopus39 WoS27 |
| 2019 | Narasimhaswamy, S., Wei, Z., Wang, Y., Zhang, J., & Nguyen, M. H. (2019). Contextual attention for hand detection in the wild. In Proceedings of the IEEE International Conference on Computer Vision (pp. 9566-9575). SOUTH KOREA, Seoul: IEEE. DOI Scopus57 WoS37 |
| 2019 | Wang, Y., Huang, H., Wang, C., He, T., Wang, J., & Hoai, M. (2019). GIF2VIDEO: Color dequantization and temporal interpolation of GIF images. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 1419-1428). CA, Long Beach: IEEE COMPUTER SOC. DOI Scopus14 WoS10 |
| 2019 | Rebello, N. S., Minh, H. N., Wang, Y., Zu, T., Hutson, J., & Loschky, L. C. (2019). Machine learning predicts responses to conceptual tasks using eye movements. In A. Traxler, Y. Cao, & S. Wolf (Eds.), 2018 PHYSICS EDUCATION RESEARCH CONFERENCE (PERC) (pp. 4 pages). DC, Washington: AMER ASSOC PHYSICS TEACHERS. DOI WoS2 |
| 2018 | Wei, Z., Wang, B., Hoai, M., Zhang, J., Lin, Z., Shen, X., . . . Samaras, D. (2018). Sequence-to-segments networks for segment detection. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. CesaBianchi, & R. Garnett (Eds.), Advances in Neural Information Processing Systems Vol. 2018-December (pp. 3507-3516). CANADA, Montreal: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). Scopus11 WoS1 |
| 2018 | Wei, Z., Zhang, J., Shen, X., Lin, Z., Mech, R., Hoai, M., & Samaras, D. (2018). Good View Hunting: Learning Photo Composition from Dense View Pairs. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 5437-5446). UT, Salt Lake City: IEEE. DOI Scopus87 WoS63 |
| 2018 | Wang, Y., & Hoai, M. (2018). Pulling Actions out of Context: Explicit Separation for Effective Combination. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 7044-7053). UT, Salt Lake City: IEEE. DOI Scopus23 |
| 2018 | Wang, Y., Tran, V. Q., & Nguyen, M. H. (2018). Eigen-evolution dense trajectory descriptors. In Proceedings 13th IEEE International Conference on Automatic Face and Gesture Recognition Fg 2018 (pp. 473-479). PEOPLES R CHINA, Xi an: IEEE. DOI Scopus4 WoS4 |
| 2018 | Ranjan, V., Le, H., & Hoai, M. (2018). Iterative crowd counting. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11211 LNCS (pp. 278-293). GERMANY, Munich: SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus79 WoS206 |
| 2018 | Wang, Y., Wang, L., You, Y., Zou, X., Chen, V., Li, S., . . . Weinberger, K. Q. (2018). Resource Aware Person Re-identification across Multiple Resolutions. In 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 8042-8051). UT, Salt Lake City: IEEE. DOI WoS253 |
| 2018 | Le, H., Vicente, T. F. Y., Nguyen, V., Hoai, M., & Samaras, D. (2018). A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11206 LNCS (pp. 680-696). GERMANY, Munich: SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus30 WoS97 |
| 2018 | Wang, B., & Hoai, M. (2018). Predicting body movement and recognizing actions: An integrated framework for mutual benefits. In Proceedings 13th IEEE International Conference on Automatic Face and Gesture Recognition Fg 2018 (pp. 341-348). PEOPLES R CHINA, Xi an: IEEE. DOI Scopus11 WoS4 |
| 2017 | Nguyen, V., Vicente, T. F. Y., Zhao, M., Hoai, M., & Samaras, D. (2017). Shadow Detection with Conditional Generative Adversarial Networks. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2017-October (pp. 4520-4528). ITALY, Venice: IEEE. DOI Scopus200 WoS168 |
| 2017 | Wang, B., Yager, K., Yu, D., & Hoai, M. (2017). X-Ray scattering image classification using deep learning. In Proceedings 2017 IEEE Winter Conference on Applications of Computer Vision Wacv 2017 (pp. 697-704). CA, Santa Rosa: IEEE. DOI Scopus54 WoS46 |
| 2017 | Ma, K., Hoai, M., & Samaras, D. (2017). Large-scale continual road inspection: Visual infrastructure assessment in the wild. In British Machine Vision Conference 2017 Bmvc 2017. British Machine Vision Association. DOI Scopus27 |
| 2016 | Wang, Y., & Hoai, M. (2016). Improving Human Action Recognition by Non-action Classification. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 2698-2707). WA, Seattle: IEEE. DOI Scopus15 WoS7 |
| 2016 | Vicente, T. F. Y., Hoai, M., & Samaras, D. (2016). Noisy Label Recovery for Shadow Detection in Unfamiliar Domains. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 3783-3792). WA, Seattle: IEEE. DOI Scopus33 WoS26 |
| 2016 | Vicente, T. F. Y., Hou, L., Yu, C. P., Hoai, M., & Samaras, D. (2016). Large-scale training of shadow detectors with noisily-annotated shadow examples. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 9910 LNCS (pp. 816-832). NETHERLANDS, Amsterdam: SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus208 WoS189 |
| 2016 | Wei, Z., & Hoai, M. (2016). Region Ranking SVM for Image Classification. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 2987-2996). WA, Seattle: IEEE. DOI Scopus25 WoS14 |
| 2016 | Wei, Z., Adeli, H., Zelinsky, G., Hoai, M., & Samaras, D. (2016). Learned region sparsity and diversity also predict visual attention. In D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, & R. Garnett (Eds.), Advances in Neural Information Processing Systems Vol. 29 (pp. 1902-1910). SPAIN, Barcelona: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). Scopus10 WoS2 |
| 2016 | Wang, B., Guan, Z., Yao, S., Qin, H., Nguyen, M. H., Yager, K., & Yu, D. (2016). Deep learning for analysing synchrotron data streams. In 2016 New York Scientific Data Summit Nysds 2016 Proceedings (pp. 5 pages). NY, New York: IEEE. DOI Scopus10 WoS1 |
| 2015 | Hoai, M., & Zisserman, A. (2015). Improving human action recognition using score distribution and ranking. In D. Cremers, I. Reid, H. Saito, & M. H. Yang (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 9007 (pp. 3-20). SINGAPORE, Singapore: SPRINGER-VERLAG BERLIN. DOI Scopus29 WoS22 |
| 2015 | Kwon, H., Yun, K., Hoai, M., & Samaras, D. (2015). Recognizing cultural events in images: A study of image categorization models. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2015-October (pp. 51-57). MA, Boston: IEEE. DOI Scopus6 |
| 2015 | Hoai, M., & Zisserman, A. (2015). Thread-safe: Towards recognizing human actions across shot boundaries. In D. Cremers, I. Reid, H. Saito, & M. H. Yang (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 9006 (pp. 222-237). SINGAPORE, Singapore: SPRINGER-VERLAG BERLIN. DOI Scopus3 WoS2 |
| 2015 | Vicente, T. F. Y., Hoai, M., & Samaras, D. (2015). Leave-one-out kernel optimization for shadow detection. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2015 International Conference on Computer Vision, ICCV 2015 (pp. 3388-3396). CHILE, Santiago: IEEE. DOI Scopus53 WoS39 |
| 2014 | Hoai, M., & Zisserman, A. (2014). Talking heads: Detecting humans and recognizing their interactions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 875-882). OH, Columbus: IEEE. DOI Scopus50 WoS26 |
| 2014 | Hoai, M., Ladický, L., & Zisserman, A. (2014). Action recognition from weak alignment of body parts. In Bmvc 2014 Proceedings of the British Machine Vision Conference 2014 (pp. 86.1-86.12). British Machine Vision Association. DOI Scopus12 |
| 2014 | Hoai, M. (2014). Regularized Max Pooling for image categorization. In Bmvc 2014 Proceedings of the British Machine Vision Conference 2014 (pp. 32.1-32.12). British Machine Vision Association. DOI Scopus54 |
| 2013 | Hoai, M., & Zisserman, A. (2013). Discriminative sub-categorization. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1666-1673). OR, Portland: IEEE. DOI Scopus43 WoS25 |
| 2012 | Hoai, M., & De La Torre, F. (2012). Max-margin early event detectors. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 2863-2870). RI, Providence: IEEE. DOI Scopus126 WoS61 |
| 2012 | Hoai, M., & De La Torre, F. (2012). Maximum margin temporal clustering. In Journal of Machine Learning Research Vol. 22 (pp. 520-528). Scopus22 |
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Teaching at Stony Brook University
Spring 2021: CSE512 – Machine Learning – Graduate
Fall 2020: CSE353 – Machine Learning – Undergraduate
Spring 2020: CSE615 – Advanced Computer Vision – Graduate
Fall 2019: CSE512 – Machine Learning – Graduate
Spring 2019: CSE378 – Introduction to Robotics – Undergraduate
Fall 2018: CSE512 – Machine Learning – Graduate
Spring 2018: CSE512 – Machine Learning – Graduate
Spring 2018: CSE378 – Introduction to Robotics – Undergraduate
Fall 2016: CSE527 – Introduction to Computer Vision – Graduate
Spring 2016: CSE512 – Machine Learning – Graduate
Spring 2015: CSE525 – Introduction to Robotics – Graduate
Fall 2014: CSE594 – Video Analysis – Graduate
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Principal Supervisor | Multimodal Action Quality Assessment Using Cameras and Bodyworn Sensors | Doctor of Philosophy | Doctorate | Full Time | Mr Duc Duy Nguyen |
| 2025 | Co-Supervisor | Artificial Intelligence for Space | Doctor of Philosophy | Doctorate | Full Time | Mr Anh Vu Nguyen |
| 2025 | Co-Supervisor | Collaborative object identification for Un-crewed Aerial System (UAS) tasks in complex environments | Doctor of Philosophy | Doctorate | Full Time | Mr Andrew Martin Chesson |
| 2025 | Principal Supervisor | Fine-Grained Action Counting and Quality Evaluation in Video | Doctor of Philosophy | Doctorate | Full Time | Mr Chang Dong |
| 2025 | Co-Supervisor | Cutting-Edge Artificial Intelligence for Prognostic Prediction of Major Amputation in Patients with Chronic Limb Threatening Ischaemia and Diabetes-related Foot Disease | Doctor of Philosophy | Doctorate | Full Time | Ms Lipin Guo |
| 2025 | Co-Supervisor | Collaborative object identification for Un-crewed Aerial System (UAS) tasks in complex environments | Doctor of Philosophy | Doctorate | Full Time | Mr Andrew Martin Chesson |
| 2025 | Co-Supervisor | Cutting-Edge Artificial Intelligence for Prognostic Prediction of Major Amputation in Patients with Chronic Limb Threatening Ischaemia and Diabetes-related Foot Disease | Doctor of Philosophy | Doctorate | Full Time | Ms Lipin Guo |
| 2025 | Principal Supervisor | Multimodal Action Quality Assessment Using Cameras and Bodyworn Sensors | Doctor of Philosophy | Doctorate | Full Time | Mr Duc Duy Nguyen |
| 2025 | Principal Supervisor | Fine-Grained Action Counting and Quality Evaluation in Video | Doctor of Philosophy | Doctorate | Full Time | Mr Chang Dong |
| 2025 | Co-Supervisor | Artificial Intelligence for Space | Doctor of Philosophy | Doctorate | Full Time | Mr Anh Vu Nguyen |
| 2024 | Principal Supervisor | Hand-held Object Identification, Segmentation, and Tracking in the Wild | Doctor of Philosophy | Doctorate | Full Time | Mr Huy Anh Nguyen |
| 2024 | Principal Supervisor | Hand-held Object Identification, Segmentation, and Tracking in the Wild | Doctor of Philosophy | Doctorate | Full Time | Mr Huy Anh Nguyen |
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