Selected Publications (2022-Now)

  1. Yuan Li, Wei Gao*, Ge Li, Siwei Ma, “Saliency Segmentation Oriented Deep Image Compression with Novel Bit Allocation,” IEEE Transactions on Image Processing (TIP), 2024. [IEEEXplore]

  2. Dinghao Yang, Wei Gao*, “PointCHD: A Point Cloud Benchmark for Congenital Heart Disease Classification and Segmentation,” IEEE Journal of Biomedical and Health Informatics (JBHI), 2024. [IEEEXplore]

  3. Haohui Li, Wei Gao*, “Information Exploration of Projected Views for Point Cloud Quality Measurement,” IEEE Transactions on Instrumentation and Measurement (TIM), 2024. [IEEEXplore]

  4. Songlin Fan, Wei Gao*, Ge Li, “Point-MPP: Point Cloud Self-supervised Learning from Masked Position Prediction,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024. [IEEEXplore]

  5. Shangkun Sun, Jiaming Liu, Huaxia Li, Guoqing Liu, Thomas H. Li, Wei Gao*, “StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences,” Advances in Neural Information Processing Systems (NeurIPS), 2024. [NeurIPS]

  6. Huiming Zheng, Wei Gao*, Zhuozhen Yu, Tiesong Zhao, Ge Li, “ViewPCGC: View-Guided Learned Point Cloud Geometry Compression,” ACM International Conference on Multimedia (ACM MM), 2024. [ACM-DL]

  7. Liang Xie, Wei Gao*, Huiming Zheng, Ge Li, “ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision,” ACM International Conference on Multimedia (ACM MM), 2024. [ACM-DL]

  8. Changhao Peng, Wei Gao*, “Laplacian Matrix Learning for Point Cloud Attribute Compression with Ternary Search-Based Adaptive Block Partition,” ACM International Conference on Multimedia (ACM MM), 2024. [ACM-DL]

  9. Hang Yuan, Wei Gao*, Wenxu Gao, “OpenSEP: An Open Source Subjective Experiment Platform,” ACM International Conference on Multimedia (ACM MM), 2024. [ACM-DL]

  10. Liang Xie, Wei Gao*, “LearningPCC: A PyTorch Library for Learning-Based Point Cloud Compression,” ACM International Conference on Multimedia (ACM MM), 2024. [ACM-DL]

  11. Liang Xie, Wei Gao*, “PCHMVision: An Open-Source Library of Point Cloud Compression for Human and Machine Vision,” ACM International Conference on Multimedia (ACM MM), 2024. [ACM-DL]

  12. Wei Gao, Huiming Zheng, Chenhao Zhang, Kaiyu Zheng, Zhuozhen Yu, Yuan Li, Hua Ye, Yongchi Zhang, “OpenDIC: An Open-Source Library and Performance Evaluation for Deep-learning-based Image Compression,” ACM International Conference on Multimedia (ACM MM), 2024. [ACM-DL]

  13. Chenhao Zhang, Wei Gao*, “Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network,” European Conference on Computer Vision (ECCV), 2024. [Springer]

  14. Zhaojian Yao, Wei Gao*, “Iterative Saliency Aggregation and Assignment Network for Efficient Salient Object Detection in Optical Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [IEEEXplore]

  15. Wang Liu, Wei Gao*, Ge Li, Siwei Ma, Tiesong Zhao, Hui Yuan, “Enlarged Motion-Aware and Frequency-Aware Network for Compressed Video Artifact Reduction,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. [IEEEXplore]

  16. Yiting Shao, Xiaodong Yang, Wei Gao*, Shan Liu, Ge Li, “3D Point Cloud Attribute Compression Using Diffusion-based Texture-aware Intra Prediction,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. [IEEEXplore]

  17. Jilong Wang, Wei Gao*, Ge Li, “Zoom to Perceive Better: No-reference Point Cloud Quality Assessment via Exploring Effective Multiscale Feature,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. [IEEEXplore]

  18. Huiming Zhang, Wei Gao*, “End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy,” 2024 AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 20-27, 2024. [AAAI]

  19. Wang Liu, Wei Gao*, Xingming Mu, “Fast Inter-Frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement,” 2024 AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 20-27, 2024. [AAAI]

  20. Zhiyi Pan, Nan Zhang, Wei Gao*, Shan Liu, Ge Li, “Less is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation,” 2024 AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 20-27, 2024. [AAAI]

  21. Yang Guo, Wei Gao*, Ge Li, “Interpretable Task-inspired Adaptive Filter Pruning for Neural Networks Under Multiple Constraints,” International Journal of Computer Vision (IJCV), 2024. [Springer]

  22. Yiting Shao, Ge Li, Qi Zhang, Wei Gao*, Shan Liu, “Nonrigid Registration-Based Progressive Motion Compensation for Point Cloud Geometry Compression,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023. [IEEEXplore]

  23. Jilong Wang, Wei Gao*, Ge Li, “Applying Collaborative Adversarial Learning to Blind Point Cloud Quality Measurement,” IEEE Transactions on Instrument and Measurement (TIM), 2023. [IEEEXplore]

  24. Zetao Yang, Wei Gao*, Ge Li, Yiqiang Yan, “SUR-Driven Video Coding Rate Control for Jointly Optimizing Perceptual Quality and Buffer Control,” IEEE Transactions on Image Processing (TIP), 2023. [IEEEXplore]

  25. Songlin Fan, Wei Gao*, “Screen-based 3D Subjective Experiment Software,” ACM International Conference on Multimedia (ACM MM), 2023. [ACM-DL]

  26. Hang Yuan, Wei Gao*, “OpenFastVC: An Open Source Library for Video Coding Fast Algorithm Implementation,” ACM International Conference on Multimedia (ACM MM), 2023. [ACM-DL]

  27. Wei Gao, Shangkun Sun, Huiming Zheng, Yuyang Wu, Hua Ye, Yongchi Zhang, “OpenDMC: An Open-Source Library and Performance Evaluation for Deep-learning-based Multi-frame Compression,” ACM International Conference on Multimedia (ACM MM), 2023. [ACM-DL]

  28. Xianghao Zang, Wei Gao*, Ge Li, Han Fang, Chao Ban, Zhongjiang He, Hao Sun, “A Baseline Investigation: Transformer-based Cross-view Baseline for Text-based Person Search,” ACM International Conference on Multimedia (ACM MM), 2023. [ACM-DL]

  29. Wei Gao, Hang Yuan, Ge Li, Zhu Li, Hui Yuan, “Low Complexity Coding Unit Decision in Video-Based Point Cloud Compression,” IEEE Transactions on Image Processing (TIP), 2023. [IEEEXplore]

  30. Lvfang Tao, Wei Gao*, Ge Li, Chenhao Zhang, “AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing,” International Conference on Computer Vision (ICCV), 2023. [IEEEXplore]

  31. Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao*, Ge Li, “Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering,” IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [IEEEXplore]

  32. Fei Song, Ge Li, Xiaodong Yang, Wei Gao*, Shan Liu, “Block-Adaptive Point Cloud Attribute Coding With Region-Aware Optimized Transform,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 33, no. 8, pp. 4294-4308, Aug. 2023. [IEEEXplore]

  33. Wei Gao, Songlin Fan, Ge Li, Weisi Lin, “A Thorough Benchmark and A New Model for Light Field Saliency Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 7, pp. 8003-8019, July 2023. [IEEEXplore]

  34. Ruonan Zhang, Wei Gao*, Ge Li, Thomas Li, “QINet: Decision Surface Learning and Adversarial Enhancement for Quasi-Immune Completion of Diverse Corrupted Point Clouds,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [IEEEXplore]

  35. Songlin Fan, Wei Gao*, Ge Li, “Salient Object Detection for Point Clouds,” European Conference on Computer Vision (ECCV), 2022. [Springer]

  36. Wei Gao, Hua Ye, Ge Li, Huiming Zheng, Yuyang Wu, Liang Xie, “OpenPointCloud: An Open-Source Algorithm Library of Deep Learning Based Point Cloud Compression,” ACM International Conference on Multimedia (ACM MM), 2022. [ACM-DL]

  37. Hang Yuan, Wei Gao*, Ge Li, Zhu Li, “Rate-Distortion-Guided Learning Approach with Cross-Projection Information for V-PCC Fast CU Decision,” ACM International Conference on Multimedia (ACM MM), 2022. [ACM-DL]

  38. Wei Gao, Hang Yuan, Yang Guo, Lvfang Tao, Zhanyuan Cai, Ge Li, “OpenHardwareVC: An Open Source Library for 8K UHD Video Coding Hardware Implementation,” ACM International Conference on Multimedia (ACM MM), 2022. [ACM-DL]

  39. Guibiao Liao, Wei Gao*, Ge Li, Junle Wang, Sam Kwong, “Cross-Collaborative Fusion-Encoder Network for Robust RGB-Thermal Salient Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. [IEEEXplore]

  40. Ruonan Zhang, Jingyi Chen, Wei Gao*, Ge Li, Thomas Li, “PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. [IEEEXplore]

  41. Wei Gao, Yang Guo, Siwei Ma, Ge Li, Sam Kwong, “Efficient Neural Network Compression Inspired by Compressive Sensing,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [IEEEXplore]

  42. Zhuangzi Li, Ge Li, Thomas Li, Shan Liu, Wei Gao*, “Semantic Point Cloud Upsampling,” IEEE Transactions on Multimedia (TMM), 2022. [IEEEXplore]

  43. Xianghao Zang, Ge Li, Wei Gao*, “Multi-dimension and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval,” IEEE Transactions on Industrial Informatics (TII), 2022. [IEEEXplore]

  44. Chunyang Fu, Ge Li, Rui Song, Wei Gao*, Shan Liu, “OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression,” AAAI Conference on Artificial Intelligence (AAAI), 2022. [AAAI]

  45. Wei Gao, Guibiao Liao, Siwei Ma, Ge Li, Yongsheng Liang, Weisi Lin, "Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. [IEEEXplore]

  46. Wei Gao, Qiuping Jiang, Ronggang Wang, Siwei Ma, Ge Li, Sam Kwong, "Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding," IEEE Transactions on Industrial Informatics (TII), 2022. [IEEEXplore]