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Li Li

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates


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Administrative Position:Professor

Business Address:West Campus of USTC

Alma Mater:University of Science and Technology of China

Discipline:Information and Communication Engineering

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Current position: Home >> Publications
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You can also refer to my google scholar page for more detailed information. [link]


Papers

  • D. Xue, H. Ma, L. Li, D. Liu, Z. Xiong and H. Li, "DBVC: An End-to-End 3-D Deep Biomedical Video Coding Framework," in IEEE Transactions on Circuits and Systems for Video Technology.

  • H. Zhang, J. Liao, Y. Jiang, L. Li and D. Liu, "Padding-Aware Learned Image Compression," 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, 2023, pp. 1-5.

  • D. Xue, C. Dong, F. Ye, H. Chen, B. Kang, L. Li, D. Liu, "iWavePro: An improved framework for iWave++," 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, 2023, pp. 1-5

  • D. Jin, J. Lei, B. Peng, Z. Pan, L. Li and N. Ling, "Learned Video Compression with Efficient Temporal Context Learning," in IEEE Transactions on Image Processing, vol. 32, pp. 3188-3198, 2023.

  • A. Feng, K. Liu, D. Liu, L. Li and F. Wu, "Partition Map Prediction for Fast Block Partitioning in VVC Intra-Frame Coding," in IEEE Transactions on Image Processing, vol. 32, pp. 2237-2251, 2023.

  • Z. Guo, W. Zhou, M. Wang, L. Li and H. Li, “HandNeRF: Neural Radiance Fields for Animatable Interacting Hands”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 21078-21087. 

  • Y. Li, Z. Li, L. Li, D. Liu and H. Li, "Global Homography Motion Compensation for Versatile Video Coding," 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP), Suzhou, China, 2022, pp. 1-5

  • Y. Sun, L. Li, Z. Li, S. Wang, S. Liu and G. Li, "Learning a Compact Spatial-Angular Representation for Light Field," in IEEE Transactions on Multimedia, 2022.

  • X. Sheng, J. Li, B. Li, L. Li, D. Liu and Y. Lu, "Temporal Context Mining for Learned Video Compression," in IEEE Transactions on Multimedia, 2022

  • D. Xue, H. Ma, L. Li, D. Liu and Z. Xiong, "aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform," in IEEE Transactions on Medical Imaging, 2022

  • Y. Yin, J. Deng, W. Zhou, L. Li and H. Li, "FI-WSOD: Foreground Information Guided Weakly Supervised Object Detection," in IEEE Transactions on Multimedia, 2022.

  • A. Akhtar, Z. Li, G. V. d. Auwera, L. Li and J. Chen, "PU-Dense: Sparse Tensor-Based Point Cloud Geometry Upsampling," in IEEE Transactions on Image Processing, vol. 31, pp. 4133-4148, 2022.

  • X. Sheng, L. Li, D. Liu and Z. Xiong, "Attribute Artifacts Removal for Geometry-Based Point Cloud Compression," in IEEE Transactions on Image Processing, vol. 31, pp. 3399-3413, 2022.

  • L. Li, Z. Li, S. Liu and H. Li, "Frame-level Rate Control for Geometry-based LiDAR Point Cloud Compression," in IEEE Transactions on Multimedia.

  • C. Gao, L. Li, D. Liu, Z. Chen, W. Li and F. Wu, "Two-Step Fast Mode Decision for Intra Coding of Screen Content," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 8, pp. 5608-5622, Aug. 2022.

  • L. Li, Z. Li, S. Liu and H. Li, "Plenoptic Point Cloud Compression Using Multiview Extension of High Efficiency Video Coding," in IEEE Transactions on Multimedia.

  • Y. Mei, F. Li, L. Li and Z. Li, "Learn A Compression for Objection Detection - VAE with a Bridge," 2021 International Conference on Visual Communications and Image Processing (VCIP), Munich, Germany, 2021, pp. 1-5.

  • D. Xue, H. Ma, L. Li, D. Liu and Z. Xiong, "iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform," 2021 International Conference on Visual Communications and Image Processing (VCIP), Munich, Germany, 2021, pp. 1-5.

  • Z. Li, S. Liu, F. Dufaux, L. Li, G. Li and C. -C. J. Kuo, "Guest Editorial Introduction to the Special Issue on Recent Advances in Point Cloud Processing and Compression," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 12, pp. 4555-4560, Dec. 2021.

  • C. Gao, D. Liu, L. Li and F. Wu, "Towards Task-Generic Image Compression: A Study of Semantics-Oriented Metrics," in IEEE Transactions on Multimedia.

  • K. Liu, D. Liu, L. Li and H. Li, "Context-Adaptive Inverse Quantization for Inter-Frame Coding," in IEEE Open Journal of Circuits and Systems, vol. 2, pp. 660-674, 2021.

  • N. Yan, C. Gao, D. Liu, H. Li, L. Li and F. Wu, "SSSIC: Semantics-to-Signal Scalable Image Coding with Learned Structural Representations," in IEEE Transactions on Image Processing, vol. 30, pp. 8939-8954, 2021

  • L. Li, Z. Li, S. Liu and H. Li, "Motion Estimation and Coding Structure for Inter-Prediction of LiDAR Point Cloud Geometry," in IEEE Transactions on Multimedia, vol. 24, pp. 4504-4513, 2022.

  • H. Tu, L. Li, W. Zhou, and H. Li, "Semantic Scalable Image Compression with Cross-Layer Priors," in Proceedings of the 29th ACM International Conference on Multimedia (MM '21), Association for Computing Machinery, New York, NY, USA, 4044–4052.

  • Y. Mei, L. Li, Z. Li and F. Li, "Learning-Based Scalable Image Compression with Latent-Feature Reuse and Prediction," in IEEE Transactions on Multimedia, vol. 24, pp. 4143-4157, 2022.

  • K. Liu, D. Liu, L. Li, H. Li, "Semantics-to-Signal Scalable Image Compression with Learned Revertible Representations", International Journal of Computer Vision, vol. 129, pp. 2605–2621, 2021.

  • A. Feng, C. Gao, L. Li, D. Liu and F. Wu, "Cnn-Based Depth Map Prediction for Fast Block Partitioning in HEVC Intra Coding," 2021 IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, 2021, pp. 1-6.

  • A. Akhtar, W. Gao, L. Li, Z. Li, W. Jia and S. Liu, "Video-Based Point Cloud Compression Artifact Removal," in IEEE Transactions on Multimedia, vol. 24, pp. 2866-2876, 2022.

  • X. Sheng, L. Li, D. Liu, Z. Xiong, Z. Li and F. Wu, "Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes," in IEEE Transactions on Multimedia, vol. 24, pp. 2617-2632, 2022.

  • W. Jia, L. Li, A. Akhtar, Z. Li and S. Liu, "Convolutional Neural Network-Based Occupancy Map Accuracy Improvement for Video-Based Point Cloud Compression," in IEEE Transactions on Multimedia, vol. 24, pp. 2352-2365, 2022.

  • W. Jia, L. Li, Z. Li and S. Liu, "Deep Learning Geometry Compression Artifacts Removal for Video-Based Point Cloud Compression," International Journal of Computer Vision, vol. 129, pp. 2947–2964, 2021.

  • W. Jia, L. Li, Z. Li, X. Zhang and S. Liu, "Residual-guided In-loop Filter Using Convolution Neural Network," ACM Transactions on Multimedia Computing, Communications, Applications, vol. 17, no. 4, Article 139, 2021.

  • Y. Li, Y. Yi, D. Liu, L. Li, Z. Li, and H. Li, "Neural-Network-Based Cross-Channel Intra Prediction" ACM Transactions on Multimedia Computing, Communications, Applications, vol. 17, no. 3, Article 77, 2021.

  • R. Yang, N. Yan, L. Li, D. Liu and F. Wu, "Chain Code-Based Occupancy Map Coding for Video-Based Point Cloud Compression," 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, 2020, pp. 479-482.

  • B. Kathariya, L. Li, Z. Li, L. Duan and S. Liu, "Network Update Compression for Federated Learning," 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, 2020, pp. 38-41.

  • A. Akhtar, W. Gao, X. Zhang, L. Li, Z. Li and S. Liu, "Point Cloud Geometry Prediction Across Spatial Scale using Deep Learning," 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, 2020, pp. 70-73.

  • W. Jia, L. Li, Z. Li, X. Zhang and S. Liu, "Residual Guided Deblocking with Deep Learning," 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020, pp. 3109-3113.

  • Y. Sun, L. Li, Z. Li and S. Liu, "Yoco: Light-Weight Rate Control Model Learning," 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020, pp. 1316-1320.

  • Y. Sun, L. Li, Z. Li and S. Liu, "Referenceless Rate-Distortion Modeling with Learning from Bitstream and Pixel Features," In Proceedings of the 28th ACM International Conference on Multimedia (MM '20), Association for Computing Machinery, New York, NY, USA, 2481–2489.

  • W. Jia, L. Li, Z. Li, S. Zhao and S. Liu, "Scalable Hash from Triplet Loss Feature Aggregation for Video De-duplication," Journal of Visual Communication and Image Representation, vol. 72, 2020.

  • L. Li, Z. Li, S. Liu and H. Li, "Efficient Projected Frame Padding for Video-Based Point Cloud Compression," in IEEE Transactions on Multimedia, vol. 23, pp. 2806-2819, 2021.

  • H. Zhang, L. Song, L. Li, Z. Li and X. Yang, "Compression Priors Assisted Convolutional Neural Network for Fractional Interpolation," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 5, pp. 1953-1967, May 2021.

  • W. Jia, L. Li, Z. Li, S. Zhao and S. Liu, "Triplet Loss Feature Aggregation for Scalable Hash," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 1918-1922.

  • C. Ma, D. Liu, L. Li, Y. Wang and F. Wu, "Convolutional Neural Network-Based Coefficients Prediction for HEVC Intra-Predicted Residues," 2020 Data Compression Conference (DCC), Snowbird, UT, USA, 2020, pp. 183-192.

  • L. Li, Z. Li, S. Liu and H. Li, "Video-Based Compression for Plenoptic Point Clouds," 2020 Data Compression Conference (DCC), Snowbird, UT, USA, 2020, pp. 378-378.

  • Z. Zhang et al., "Fast DST-VII/DCT-VIII with Dual Implementation Support for Versatile Video Coding," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 1, pp. 355-371, Jan. 2021.

  • L. Li, Z. Li, S. Liu and H. Li, "Rate Control for Video-Based Point Cloud Compression," in IEEE Transactions on Image Processing, vol. 29, pp. 6237-6250, 2020.

  • W. Zhu, Z. Ma, Y. Xu, L. Li and Z. Li, "View-Dependent Dynamic Point Cloud Compression," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 2, pp. 765-781, Feb. 2021.

  • L. Li, Z. Li, S. Liu and H. Li, "Occupancy-Map-Based Rate Distortion Optimization and Partition for Video-Based Point Cloud Compression," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 1, pp. 326-338, Jan. 2021.

  • L. Li, N. Yan, Z. Li, S. Liu and H. Li, "λ -Domain Perceptual Rate Control for 360-Degree Video Compression," in IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 1, pp. 130-145, Jan. 2020.

  • D. F. Noor, L. Li, Z. Li and S. Bhattacharyya, "Multi-Frame Super Resolution with Deep Residual Learning on Flow Registered Non-Integer Pixel Images," 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019, pp. 2164-2168.

  • H. Zhang, L. Li, L. Song, X. Yang and Z. Li, "Advanced CNN Based Motion Compensation Fractional Interpolation," 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019, pp. 709-713.

  • L. Li, Z. Li, S. Liu and H. Li, "Occupancy-Map-Based Rate Distortion Optimization for Video-Based Point Cloud Compression," 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019, pp. 3167-3171.

  • P. Maharjan, L. Li, Z. Li, N. Xu, C. Ma and Y. Li, "Improving Extreme Low-Light Image Denoising via Residual Learning," 2019 IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 2019, pp. 916-921.

  • L. Li, Z. Li, V. Zakharchenko, J. Chen and H. Li, "Advanced 3D Motion Prediction for Video-Based Dynamic Point Cloud Compression," in IEEE Transactions on Image Processing, vol. 29, pp. 289-302, 2020.

  • C. Ma, D. Liu, X. Peng, L. Li and F. Wu, "Convolutional Neural Network-Based Arithmetic Coding for HEVC Intra-Predicted Residues," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 7, pp. 1901-1916, July 2020.

  • Z. Zhang, Y. Li, L. Li, Z. Li and S. Liu, "Multiple Linear Regression for High Efficiency Video Intra Coding," ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019, pp. 1832-1836.

  • N. Yan, D. Liu, H. Li, B. Li, L. Li and F. Wu, "Invertibility-Driven Interpolation Filter for Video Coding," in IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4912-4925, Oct. 2019.

  • L. Li, Z. Li, B. Li, D. Liu and H. Li, "Quadtree-Based Coding Framework for High-Density Camera Array-Based Light Field Image," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 8, pp. 2694-2708, Aug. 2020.

  • L. Li, Z. Li, Y. Li, B. Kathariya and S. Bhattacharyya, "Incremental Deep Neural Network Pruning Based on Hessian Approximation," 2019 Data Compression Conference (DCC), Snowbird, UT, USA, 2019, pp. 590-590.

  • L. Li, Z. Li, V. Zakharchenko and J. Chen, "Advanced 3D Motion Prediction for Video Based Point Cloud Attributes Compression," 2019 Data Compression Conference (DCC), Snowbird, UT, USA, 2019, pp. 498-507.

  • C. Ma, D. Liu, X. Peng, L. Li and F. Wu, "Traffic surveillance video coding with libraries of vehicles and background," Journal of Visual Communication and Image Representation, vol. 60, pp. 426-440, 2019.

  • L. Li, Z. Li, X. Ma, H. Yang and H. Li, "Advanced Spherical Motion Model and Local Padding for 360° Video Compression," in IEEE Transactions on Image Processing, vol. 28, no. 5, pp. 2342-2356, May 2019.

  • Z. Zhang, L. Li, Z. Li and H. Li, "Mobile Visual Search Compression with Grassmann Manifold Embedding," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 11, pp. 3356-3366, Nov. 2019.

  • Y. Li et al., "A Hybrid Neural Network for Chroma Intra Prediction," 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018, pp. 1797-1801.

  • Y. Sun, M. Jin, L. Li and Z. Li, "A Machine Learning Approach to Accurate Sequence-Level Rate Control Scheme for Video Coding," 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018, pp. 1013-1017.

  • Y. Li, D. Liu, H. Li, L. Li, Z. Li and F. Wu, "Learning a Convolutional Neural Network for Image Compact-Resolution," in IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1092-1107, Mar. 2019.

  • B. Kathariya, L. Li, Z. Li, J. Alvarez and J. Chen, "Scalable Point Cloud Geometry Coding with Binary Tree Embedded Quadtree," 2018 IEEE International Conference on Multimedia and Expo (ICME), San Diego, CA, USA, 2018, pp. 1-6.

  • B. Kathariya, L. Li, Z. Li and J. R. Alvarez, "Lossless dynamic point cloud geometry compression with inter compensation and traveling salesman prediction," 2018 Data Compression Conference, Snowbird, UT, USA, 2018, pp. 414-414.

  • N. Yan, D. Liu, H. Li, B. Li, L. Li and F. Wu, "Convolutional Neural Network-Based Fractional-Pixel Motion Compensation," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 3, pp. 840-853, March 2019.

  • J. Shen, L. Yu, L. Li and H. Li, "Foveation-Based Wireless Soft Image Delivery," in IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2788-2800, Oct. 2018.

  • Y. Shao, Q. Zhang, G. Li, Z. Li, and L. Li, "Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction," In Proceedings of the 26th ACM international conference on Multimedia, Association for Computing Machinery, New York, NY, USA, 1199–1207.

  • Z. Zhang, Y. Li, L. Li, Z. Li and S. Liu, "Combining Intra Block Copy and Neighboring Samples Using Convolutional Neural Network for Image Coding," 2018 IEEE Visual Communications and Image Processing (VCIP), Taichung, Taiwan, 2018, pp. 1-4.

  • X. Zhao, L. Li, Z. Li, X. Li and S. Liu, "Coupled Primary and Secondary Transform for Next Generation Video Coding," 2018 IEEE Visual Communications and Image Processing (VCIP), Taichung, Taiwan, 2018, pp. 1-4.

  • W. Zhu, Y. Xu, L. Li and Z. Li, "Lossless point cloud geometry compression via binary tree partition and intra prediction," 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), Luton, UK, 2017, pp. 1-6.

  • E. Cornwell, L. Li, Z. Li and Y. Sun, "An efficient compression scheme for the multi-camera light field image," 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), Luton, UK, 2017, pp. 1-6.

  • Y. Wang, L. Li, D. Liu, F. Wu and W. Gao, "A new motion model for panoramic video coding," 2017 IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017, pp. 1407-1411.

  • Z. Zhang, L. Li, Z. Li and H. Li, "Visual query compression with locality preserving projection on Grassmann manifold," 2017 IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017, pp. 3026-3030.

  • L. Li, Z. Li, M. Budagavi and H. Li, "Projection based advanced motion model for cubic mapping for 360-degree video," 2017 IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017, pp. 1427-1431.

  • Y. Li et al., "Convolutional Neural Network-Based Block Up-Sampling for Intra Frame Coding," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 9, pp. 2316-2330, Sept. 2018.

  • L. Li, Z. Li, B. Li, D. Liu and H. Li, "Pseudo-Sequence-Based 2-D Hierarchical Coding Structure for Light-Field Image Compression," in IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 7, pp. 1107-1119, Oct. 2017.

  • Z. Zhang, L. Li and Z. Li, "Visual query compression with embedded transforms on Grassmann manifold," 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Hong Kong, China.

  • L. Li, Z. Li, X. Ma, H. Yang and H. Li, "Co-projection-plane based 3-D padding for polyhedron projection for 360-degree video," 2017 IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China, 2017, pp. 55-60.

  • L. Li et al., "An Efficient Four-Parameter Affine Motion Model for Video Coding," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 8, pp. 1934-1948, Aug. 2018.

  • L. Guo, D. Liu, L. Li and F. Wu, "Hierarchical quadtree-based flexible block ordering in HEVC intra coding," 2016 Visual Communications and Image Processing (VCIP), Chengdu, China, 2016, pp. 1-4.

  • Y. Li, L. Li, D. Liu, H. Li and F. Wu, "Combining directional intra prediction and intra block copy with block partition for HEVC," 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 2016, pp. 524-528.

  • L. Li, B. Li, H. Li and C. W. Chen, "λ-Domain Optimal Bit Allocation Algorithm for High Efficiency Video Coding," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 1, pp. 130-142, Jan. 2018.

  • L. Li, B. Li, D. Liu and H. Li, "λ-Domain Rate Control Algorithm for HEVC Scalable Extension," in IEEE Transactions on Multimedia, vol. 18, no. 10, pp. 2023-2039, Oct. 2016.

  • F. Chen, H. Li, L. Li, D. Liu and F. Wu, "Block-Composed Background Reference for High Efficiency Video Coding," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 12, pp. 2639-2651, Dec. 2017.

  • D. Liu, L. Wang, L. Li, Zhiwei Xiong, Feng Wu and Wenjun Zeng, "Pseudo-sequence-based light field image compression," 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Seattle, WA, 2016, pp. 1-4.

  • F. Chen, L. Li, D. Liu, H. Li, Z. Lv and H. Yang, "Efficient background picture coding for videos obtained from static cameras," 2015 Visual Communications and Image Processing (VCIP), Singapore, 2015, pp. 1-4.

  • L. Li and H. Li, "λ Domain based optimal bit allocation for scalable high efficiency video coding," 2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, 2015, pp. 2788-2791.

  • L. Li, H. Li, Z. Lv and H. Yang, "An affine motion compensation framework for high efficiency video coding," 2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, 2015.

  • B. Li, H. Li, L. Li and J. Zhang, "λ-Domain Rate Control Algorithm for High Efficiency Video Coding," in IEEE Transactions on Image Processing, vol. 23, no. 9, pp. 3841-3854, Sept. 2014.

 

Adopted Standard Proposal

  • J. Liao, L. Li, D. Liu, H. Li, and F. Wu, "AHG10: Improvement of Input Video Padding in VTM", JVET-AD0129, Antalya, Turkey,  Apr. 2023.

  • V. Zakharchenko and L. Li, "[V-PCC] Report on Exploration Experiment 2.1 on 3D motion estimation for video compression," WG11-m45967, Marrakech, MA, Jan. 2019.

  • L. Li, B. Li, and H. Li, "Rate control by R-lambda model for SHVC," JCTVC-M0037, WG11-m28464, Incheon, KR, 18-26 Apr. 2013.

  • B. Li, H. Li, and L. Li, "Adaptive bit allocation for R-lambda model rate control in HM," JCTVC-M0036, WG11-m28463, Incheon, KR, 18-26 Apr. 2013.

  • B. Li, L. Li, and Houqiang Li, "Bug fix for rate control algorithm in HM," JCTVC-L0033, WG11-m27359, Geneva, CH, Jan. 2013.

  • B. Li, H. Li, L. Li, and Jinlei Zhang, "Rate control by R-lambda model for HEVC," JCTVC-K0103, WG11-m26387, Shanghai, China, Oct. 2012.

  • B. Li, L. Li, J. Zhang, J. Xu, and H. Li, "Encoding with fixed Lagrange multipliers," JCTVC-J0242, WG11-m25569, Stockholm, Sweden, Jul. 2012.

  • H. Li, B. Li, L. Li, J. Zhang, H. Yang, and H. Yu, "Non-CE6: Simplification of intra chroma mode coding," JCTVC-H0326, WG11-m23201, San José, CA, USA, Feb. 2012.

 

US and Chinese Patents

  • 李礼，盛锡华，刘东，李厚强，“一种面向人类和机器视觉的可学习通用视频编码系统”，授权号：ZL202310701644.2，授权日：2023-08-08

  • Z. Lv, L. Li, H. Li, and H. Yang, Image prediction method and device: U.S. Patent 11,368,678, 2022-6-21.

  • X. Ma, H. Yang, L. Li, and H. Li, Motion compensating prediction method and device: U.S. Patent 11,128,874. 2021-9-21.

  • Z. Lv, L. Li, H. Li, and H. Yang, Image prediction method and device: U.S. Patent 10,880,543. 2020-12-29.

  • L. Li, H. Li, Z. Lv, and S. Lin, Picture prediction method and related apparatus: U.S. Patent 10,827,194. 2020-11-3.

  • F. Chen, S. Lin, H. Li, and L. Li, Video encoding and decoding method and apparatus: U.S. Patent 10,560,719. 2020-2-11.



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