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Multi-Stage Spatial and Frequency Feature Fusion using Transformer in CNN-Based In-Loop Filter for VVC.

, , , and . PCS, page 373-377. IEEE, (2022)

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Level-of-Detail Generation Using Binary-Tree for Lifting Scheme in LiDAR Point Cloud Attributes Coding., , , and . DCC, page 580. IEEE, (2019)Low Latency Scalable Point Cloud Communication., , and . ICIP, page 2369-2373. IEEE, (2019)MUSCON: Multi-scale Sparse Conv Learning for Point Cloud Attributes Deblocking., , , and . DCC, page 587. IEEE, (2024)Incremental Deep Neural Network Pruning Based on Hessian Approximation., , , , and . DCC, page 590. IEEE, (2019)Embedded binary tree for dynamic point cloud geometry compression with graph signal resampling and prediction., , , and . VCIP, page 1-4. IEEE, (2017)Joint Pixel and Frequency Feature Learning and Fusion via Channel-Wise Transformer for High-Efficiency Learned In-Loop Filter in VVC., , and . IEEE Trans. Circuits Syst. Video Technol., 34 (5): 4070-4083 (May 2024)Plug-and-Play Joint Image Deblurring and Detection., , , and . MMSP, page 1-6. IEEE, (2023)Gradient Compression with a Variational Coding Scheme for Federated Learning., , , and . VCIP, page 1-5. IEEE, (2021)Multi-Stage Spatial and Frequency Feature Fusion using Transformer in CNN-Based In-Loop Filter for VVC., , , and . PCS, page 373-377. IEEE, (2022)Lossless dynamic point cloud geometry compression with inter compensation and traveling salesman prediction., , , and . DCC, page 414. IEEE, (2018)