Publications

For an exhaustive list of publications, see my Google Scholar.

Book Chapters

  1. H. Hao, E.R. Bartusiak, D. Güera, D. Mas Montserrat, S. Baireddy, Z. Xiang, S. Yarlagadda, R. Shao, J, Horvath, J. Yang, F. Zhu, E.J. Delp, “Chapter 11: Deepfake Detection Using Multiple Data Modalities,” Handbook of Digital Face Manipulation and Detection, Springer, Advances in Computer Vision and Pattern Recognition, C. Rathged et al (eds.), Chapter 11, Nov 2021.

  2. L. Liu, F. Zhu, M. Bosch, and E. J. Delp, “Recent Advances in Video Compression,” in Statistical Science and Interdisciplinary Research, Vol. 2, Advances in Intelligent Information Processing, B Chanda Ed. India: World Scientific, 2008, pp. 191-208.

10 Representative Papers

  1. Z. Duan, M. Lu, J. Ma, Y. Huang, Z. Ma, F. Zhu, “QARV: Quantization-Aware ResNet VAE for Lossy Image Compression,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 1, pp. 436 – 450, Oct 2023. Code

  2. Z. Duan, Z. Ma, F. Zhu, “Unified Architecture Adaptation for Compressed Domain Semantic Inference,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 8, pp. 4108 - 4121, Jan 2023.

  3. [Best Algorithms Paper] Z. Duan, M. Lu, Z. Ma, and F. Zhu, “Lossy Image Compression with Quantized Hierarchical VAEs,” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, Jan 2023. Code

  4. [Best Paper Award Finalists] Z. Duan, F. Zhu, “Efficient Feature Compression for Edge-Cloud Systems,” Proceedings of the Picture Coding Symposium (PCS), San Jose, California, USA, Dec 2022. Code

  5. S. Yarlagadda, D. Mas Montserrat, D. Güera, C. Boushey, D. Kerr, F. Zhu, “Saliency-Aware Class-Agnostic Food Image Segmentation,” ACM Transactions on Healthcare and Computing, vol. 2, no. 3, pp. 1-17, Jul 2021.

  6. D. Ding, M. Zhan, D. Chen, Q. Chen, Z. Liu, F. Zhu, “Advances In video Compression System Using Deep Neural Network: A Review and Case Studies,” Proceedings of the IEEE, vol. 108, no. 9, pp. 1494 - 1520, Mar 2021. Project Page

  7. J. He, R. Mao, Z, Shao, F. Zhu, “Incremental Learning In Online Scenario,” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 2020.

  8. S. Fang, Z. Shao, D.A. Kerr, C.J. Boushey, F. Zhu, “An End-to-End Image-Based Automatic Food Energy Estimation Technique Based on Learned Energy Distribution Images: Protocol and Methodology,” Nutrients, vol. 11, no. 4, pp. 877, Apr 2019.

  9. F. Zhu, M. Bosch, N. Khanna, C. J. Boushey, and E. J. Delp, “Multiple Hypotheses Image Segmentation and Classification with Application to Dietary Assessment,” IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 1, pp. 377-388, Jan 2015.

  10. F. Zhu, M. Bosch, I. Woo, S. Kim, C. J. Boushey, D. S. Ebert, and E. J. Delp, “The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation,” IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 4, pp. 756 - 766, Aug 2010.

10 Recent Papers

  1. J. He, Z. Duan, and F. Zhu, “CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, Jul 2025.

  2. Y. Zhang, Z. Duan, Y. Huang, F. Zhu, “Balanced Rate-Distortion Optimization in Learned Image Compression,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, Jul 2025.

  3. Z. Duan, M.A. Hossain, J. He, F. Zhu, “Balancing the Encoder and Decoder Complexity in Image Compression for Classification,” EURASIP Journal on Image and Video Processing, vol. 2024, no. 38, Oct 2024.

  4. Y. Zhang, Z. Duan, F. Zhu, “On Efficient Neural Network Architectures for Image Compression,” Proceedings of the IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, Oct 2024.

  5. M.A. Hossain, F. Zhu, “Structured Pruning and Quantization for Learned Image Compression,” Proceedings of the IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, Oct 2024.

  6. Y. Zhang, Z. Duan, Y, Huang, F. Zhu, “Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs,” Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Niagara Falls, Canada, Jul 2024.

  7. M.A. Hossain, Z. Duan, F. Zhu, “Flexible Mixed Precision Quantization for Learned Image Compression,” Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Niagara Falls, Canada, Jul 2024.

  8. Z. Duan, M. Lu, J. YangG, J. He, Z. Ma, F. Zhu, “Towards Backward-Compatible Continual Learning of Image Compression,” Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 2024.

  9. J. He, F. Zhu, “Gradient Reweighting: Towards Imbalanced Class-Incremental Learning,” Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, Jun 2024.

  10. S. Raghavan, J. He, F. Zhu, “Online Class-Incremental Learning For Real-World Food Image Classification,” Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, Jan 2024. Code

Patents

  1. W. Xu, Y. Shen, Q. Lin, J.P. Allebach, F. Zhu, “Image Segmentation,” US Patent US20240104742A1 (date of patent: Mar 28, 2024).

  2. Y. Shen, W. Xu, Q. Lin, J.P. Allebach, F. Zhu, “Fused Images Backgrounds,” US Patent US20240054608A1 (date of patent: Feb 15, 2024).

  3. Y. Shen, W. Xu, Q. Lin, J.P. Allebach, F. Zhu, “Depth Assisted Image Refinement,” US Patent US20240029472A1 (date of patent: Jan 25, 2024).

  4. E.J. Delp, J. He, R. Mao, Z. Shao, S.K. Yarlagadda, F. Zhu, “Methods and Apparatus for Visual-Aware Hierarchy-Based Object Recognition,” US Patent US20230222821A1 (date of patent: Jul 13, 2023).

  5. F. Lv, F. Zhu, L. Zhou, and P. Wang, “Accurate 3D Finger Tracking with a Single Camera,” US Patent 9323346 (date of patent: Apr 26, 2016).

  6. J. Ehmann, L. Zhou, O. G. Guleryuz, F. Lv, F. Zhu, and N. Dhar, “System and Method for Augmented Reality-Enabled Interactions and Collaboration,” US Patent 9270943 (date of patent: Feb 23, 2016).

  7. F. Zhu, F. Lv, and P. Wang, “Augmented Video Calls on Mobile Devices,” US Patent 9013536 (date of patent: Apr 21, 2015).

  8. Y. Bang, E.J. Delp, F. Zhu, H. Lee, and H. Choh, “Method and Apparatus for Enhancing Resolution of Video Image,” US Patent 8331451 (date of patent: Dec 11, 2012).