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2020 – today
- 2024
[i9]Xiangjun Tang, Linjun Wu, He Wang, Yiqian Wu, Bo Hu, Songnan Li, Xu Gong, Yuchen Liao, Qilong Kou, Xiaogang Jin:
Decoupling Contact for Fine-Grained Motion Style Transfer. CoRR abs/2409.05387 (2024)- 2023
- [c29]Xiangjun Tang
, Linjun Wu, He Wang, Bo Hu, Xu Gong, Yuchen Liao, Songnan Li, Qilong Kou, Xiaogang Jin:
RSMT: Real-time Stylized Motion Transition for Characters. SIGGRAPH (Conference Paper Track) 2023: 38:1-38:10 - [i8]Xiangjun Tang, Linjun Wu, He Wang, Bo Hu, Xu Gong, Yuchen Liao, Songnan Li, Qilong Kou, Xiaogang Jin:
RSMT: Real-time Stylized Motion Transition for Characters. CoRR abs/2306.11970 (2023) - 2022
- [c28]Wei Jiang, Wei Wang, Songnan Li, Shan Liu:
Online Meta Adaptation for Variable-Rate Learned Image Compression. CVPR Workshops 2022: 497-505 - [c27]Bangrui Jiang, Zhihuai Xie, Zhen Xia, Songnan Li, Shan Liu:
ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring. ECCV (18) 2022: 663-678 - [c26]Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang:
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. FCCM 2022: 1 - [c25]Joel Jung, Alexandre Giraud, Meijia Song, Songnan Li, Xiang Li, Shan Liu:
Towards Joint Frame-Level and MOS Quality Predictions with Low-Complexity Objective Models. ICASSP 2022: 1800-1804 - [c24]Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang:
FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. ICME Workshops 2022: 1-4 - [c23]Kao Zhang, Yan Shang, Songnan Li, Shan Liu, Zhenzhong Chen:
SalCrop: Spatio-temporal Saliency Based Video Cropping. VCIP 2022: 1 - [i7]Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang:
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate. CoRR abs/2207.04090 (2022) - 2021
- [c22]Wei Jiang, Wei Wang, Shan Liu, Songnan Li:
PNG: Micro-Structured Prune-and-Grow Networks for Flexible Image Restoration. CVPR Workshops 2021: 756-765 - [i6]Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li:
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression. CoRR abs/2106.08301 (2021) - [i5]Wei Jiang, Wei Wang, Songnan Li, Shan Liu:
Online Meta Adaptation for Variable-Rate Learned Image Compression. CoRR abs/2111.08256 (2021) - 2020
- [c21]Enyu Liu, Songnan Li, Shan Liu:
Color Enhancement Using Global Parameters and Local Features Learning. ACCV (2) 2020: 202-216 - [c20]Lan Ma, Di Zhao, Songnan Li, Dahai Yu:
End-to-End Denoising of Dark Burst Images using Recurrent Fully Convolutional Networks. VISIGRAPP (4: VISAPP) 2020: 189-196
2010 – 2019
- 2019
- [j18]Fanzi Wu, Songnan Li, Tianhao Zhao, King Ngi Ngan, Lu Sheng:
Cascaded regression using landmark displacement for 3D face reconstruction. Pattern Recognit. Lett. 125: 766-772 (2019) - [j17]Tianhao Zhao, Songnan Li, King Ngi Ngan, Fanzi Wu:
3-D Reconstruction of Human Body Shape From a Single Commodity Depth Camera. IEEE Trans. Multim. 21(1): 114-123 (2019) - [c19]Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu:
MVF-Net: Multi-View 3D Face Morphable Model Regression. CVPR 2019: 959-968 - [i4]Jingwei Guan, Cheng Pan, Songnan Li, Dahai Yu:
SRDGAN: learning the noise prior for Super Resolution with Dual Generative Adversarial Networks. CoRR abs/1903.11821 (2019) - [i3]Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu:
MVF-Net: Multi-View 3D Face Morphable Model Regression. CoRR abs/1904.04473 (2019) - [i2]Di Zhao, Lan Ma, Songnan Li, Dahai Yu:
End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks. CoRR abs/1904.07483 (2019) - 2018
- [j16]Ran Shi, King Ngi Ngan, Songnan Li, Hongliang Li:
Interactive object segmentation in two phases. Signal Process. Image Commun. 65: 107-114 (2018) - 2017
- [i1]Fanzi Wu, Songnan Li, Tianhao Zhao, King Ngi Ngan:
3D Facial Expression Reconstruction using Cascaded Regression. CoRR abs/1712.03491 (2017) - 2016
- [j15]Songnan Li, King Ngi Ngan, Raveendran Paramesran, Lu Sheng:
Real-Time Head Pose Tracking with Online Face Template Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1922-1928 (2016) - [j14]Long Xu, Weisi Lin, Lin Ma, Yongbing Zhang, Yuming Fang, King Ngi Ngan, Songnan Li, Yihua Yan:
Free-Energy Principle Inspired Video Quality Metric and Its Use in Video Coding. IEEE Trans. Multim. 18(4): 590-602 (2016) - [c18]Songnan Li, Fanzi Wu, Tianhao Zhao, Ran Shi, King Ngi Ngan:
A facial expression model with generative albedo texture. APSIPA 2016: 1-4 - [c17]Ran Shi, King Ngi Ngan, Songnan Li:
Salient object segmentation using a switch scheme. APSIPA 2016: 1-4 - [c16]Fanzi Wu, Songnan Li, Tianhao Zhao, King Ngi Ngan:
Model-based face reconstruction using SIFT flow registration and spherical harmonics. ICPR 2016: 1774-1779 - 2015
- [j13]Lu Sheng, King Ngi Ngan, Chern-Loon Lim, Songnan Li:
Online Temporally Consistent Indoor Depth Video Enhancement via Static Structure. IEEE Trans. Image Process. 24(7): 2197-2211 (2015) - [j12]Ran Shi, King Ngi Ngan, Songnan Li, Paramesran Raveendran, Hongliang Li:
Visual Quality Evaluation of Image Object Segmentation: Subjective Assessment and Objective Measure. IEEE Trans. Image Process. 24(12): 5033-5045 (2015) - 2014
- [c15]Lu Sheng, King Ngi Ngan, Songnan Li:
Temporal depth video enhancement based on intrinsic static structure. ICIP 2014: 2893-2897 - [c14]Songnan Li, King Ngi Ngan, Lu Sheng:
Screen-camera calibration using a thread. ICIP 2014: 3435-3439 - [c13]Ran Shi, King Ngi Ngan, Songnan Li:
Jaccard index compensation for object segmentation evaluation. ICIP 2014: 4457-4461 - 2013
- [j11]Songnan Li, Lin Ma, King Ngi Ngan:
Anaglyph image generation by matching color appearance attributes. Signal Process. Image Commun. 28(6): 597-607 (2013) - [j10]Lin Ma, Songnan Li, King Ngi Ngan:
Reduced-reference image quality assessment in reorganized DCT domain. Signal Process. Image Commun. 28(8): 884-902 (2013) - [j9]Long Xu, Songnan Li, King Ngi Ngan, Lin Ma:
Consistent Visual Quality Control in Video Coding. IEEE Trans. Circuits Syst. Video Technol. 23(6): 975-989 (2013) - [c12]Ran Shi, King Ngi Ngan, Songnan Li:
The Objective Evaluation of Image Object Segmentation Quality. ACIVS 2013: 470-479 - [c11]Songnan Li, King Ngi Ngan, Lu Sheng:
A Head Pose Tracking System Using RGB-D Camera. ICVS 2013: 153-162 - 2012
- [j8]Songnan Li, Lin Ma, King Ngi Ngan:
Full-Reference Video Quality Assessment by Decoupling Detail Losses and Additive Impairments. IEEE Trans. Circuits Syst. Video Technol. 22(7): 1100-1112 (2012) - [j7]Lin Ma, Songnan Li, King Ngi Ngan:
Reduced-Reference Video Quality Assessment of Compressed Video Sequences. IEEE Trans. Circuits Syst. Video Technol. 22(10): 1441-1456 (2012) - [c10]Long Xu, King Ngi Ngan, Songnan Li, Lin Ma:
Video quality metric for consistent visual quality control in video coding. APSIPA 2012: 1-7 - 2011
- [j6]Lin Ma, King Ngi Ngan, Fan Zhang, Songnan Li:
Adaptive Block-size Transform based Just-Noticeable Difference model for images/videos. Signal Process. Image Commun. 26(3): 162-174 (2011) - [j5]Fan Zhang, Lin Ma, Songnan Li, King Ngi Ngan:
Practical Image Quality Metric Applied to Image Coding. IEEE Trans. Multim. 13(4): 615-624 (2011) - [j4]Lin Ma, Songnan Li, Fan Zhang, King N. Ngan:
Reduced-Reference Image Quality Assessment Using Reorganized DCT-Based Image Representation. IEEE Trans. Multim. 13(4): 824-829 (2011) - [j3]Songnan Li, Fan Zhang, Lin Ma, King Ngi Ngan:
Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments. IEEE Trans. Multim. 13(5): 935-949 (2011) - [c9]Lin Ma, Songnan Li, King N. Ngan:
Motion trajectory based visual saliency for video quality assessment. ICIP 2011: 233-236 - [c8]Lin Ma, Songnan Li, King N. Ngan:
Perceptual image compression via adaptive block- based super-resolution directed down-sampling. ISCAS 2011: 97-100 - [c7]Songnan Li, Lin Ma, King Ngi Ngan:
Video quality assessment by decoupling additive impairments and detail losses. QoMEX 2011: 90-95 - [p1]Songnan Li, Lawrence Chun-Man Mak, King Ngi Ngan:
Visual Quality Evaluation for Images and Videos. Multimedia Analysis, Processing and Communications 2011: 497-544 - 2010
- [j2]Lin Ma, Songnan Li, King Ngi Ngan:
Visual Horizontal Effect for Image Quality Assessment. IEEE Signal Process. Lett. 17(7): 627-630 (2010) - [c6]Lin Ma, Fan Zhang, Songnan Li, King N. Ngan:
Video Quality Assessment based on Adaptive Block-size Transform Just-Noticeable Difference model. ICIP 2010: 2501-2504 - [c5]Songnan Li, King Ngi Ngan:
Subtractive impairment, additive impairment and image visual quality. ISCAS 2010: 3373-3376 - [c4]Songnan Li, Lin Ma, Fan Zhang, King Ngi Ngan:
Temporal inconsistency measure for video quality assessment. PCS 2010: 590-593 - [c3]Fan Zhang, Songnan Li, Lin Ma, King Ngi Ngan:
Limitation and challenges of image quality measurement. VCIP 2010: 774402
2000 – 2009
- 2009
- [j1]Xin Jin, Songnan Li, King Ngi Ngan:
Platform-independent MB-based AVS video standard implementation. Signal Process. Image Commun. 24(4): 312-323 (2009) - [c2]Songnan Li, King Ngi Ngan:
Influence of the Smooth Region on the Structural Similarity Index. PCM 2009: 836-846 - 2006
- [c1]Jianguo Du, Songnan Li, Debin Zhao, Qian Huang, Wen Gao:
An Adaptive De-Interlacing Algorithm Based on Texture and Motion Vector Analysis. ICME 2006: 473-476
Coauthor Index
aka: King N. Ngan
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