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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Radiation Reduction for Interventional Imaging via Video Frame Interpolation
Published in Insights into Imaging, 2024
Low-radiation interventional imaging using video frame interpolation.
Recommended citation: Tang, Z., Xiong, Q., Wu, X., Xu, T., Shi, Y., Xu, X., Xu, J., & Wang, R. (2024). "Radiation Reduction for Interventional Imaging via Video Frame Interpolation." Insights into Imaging, 15(1).
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A Comprehensive Benchmark for Electrocardiogram Time-Series
Published in 33rd ACM International Conference on Multimedia (ACM MM), 2025
Unified benchmark covering classification, detection, forecasting, and generation for ECG time-series.
Recommended citation: Tang, Z., Qi, J., Zheng, Y., & Huang, J. (2025). "A Comprehensive Benchmark for Electrocardiogram Time-Series." ACM MM 2025.
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CCCaption: Dual-Reward RL for Complete and Correct Image Captioning
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Dual-reward reinforcement learning for improving multimodal caption completeness and correctness.
Recommended citation: Tang, Z., Wang, L., Qi, J., Jiang, W., Hou, P., Zeng, A., & Huang, J. (2026). "CCCaption: Dual-Reward RL for Complete and Correct Image Captioning." CVPR 2026.
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Long-CODE: Isolating Pure Long-Context as an Orthogonal Dimension in Video Evaluation
Published in 34th ACM International Conference on Multimedia (ACM MM), 2026
A benchmark decoupling long-context quality from short-video metrics in generative video evaluation.
Recommended citation: Tang, Z., Qi, J., Zhao, B., & Huang, J. (2026). "Long-CODE: Isolating Pure Long-Context as an Orthogonal Dimension in Video Evaluation." ACM MM 2026 (under review).
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Do You See What You Draw? A Semantic Closed-Loop Framework for Holistic Evaluation of Unified Multimodal Models
Published in Neural Information Processing Systems (NeurIPS), 2026
Semantic closed-loop evaluation framework for unified multimodal models.
Recommended citation: Zhang, H., Qi, J., Tang, Z., & Huang, J. (2026). "Do You See What You Draw?" NeurIPS 2026 (under review).
A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions
Published in Neural Information Processing Systems (NeurIPS), 2026
Objective caption evaluation via semantic-equivalent image reconstruction.
Recommended citation: Tang, Z., Qi, J., Tang, K., Zheng, Y., & Huang, J. (2026). "A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions." NeurIPS 2026 (under review).