Publications:
Ph.D. Dissertation：
Video
Transcoding Techniques for Multipoint Video Conferencing,
Department of electrical Engineering, National Tsing Hua University, Jan. 2000.
應用於多點視訊會議系統之視訊轉換編碼技術研究,
清大電機系, 2000年1月
MS Thesis：
Efficient
VLSI Architectures for Filter Banks in Subband Coding,
Department of electrical Engineering, National Tsing Hua University, June 1992.
應用於分頻編碼濾波器組之高效率超大型積體電路架構, 清大電機系, 1992年6月
[1]
Gene Cheung, Dinei
Florencio, Patrick Le Callet, Chia-Wen Lin,
and Enrico Magli, Special
Issue on Interactive Media Processing
for Immersive Communication, IEEE Journal of Selected Topics in Signal
Processing, vol. 9, no. 3,
pp. 381-383, June 2015.
[2] Chia-Wen Lin, Weiyao Lin, Zhenzhong Chen, Marco Tagliasacchi, and Shantanu Rane, Special Issue on Recent Advances on Analysis and Processing for Distributed Video Systems, Journal of Visual Communication and Image Representation. (published in the summer of 2013)
[3] Zicheng Liu, Chia-Wen Lin, Ming-Ting Sun, Zhengyou Zhang, Homer Chen, Oscar Au, and Yap-Peng Tan, Special Issue on ICME, IEEE Trans. Multimedia, vol. 13, no. 3, pp. 417-420, June 2011. (59 submissions)
[4] Chia-Wen Lin, Enrico Magli, Deepak Turaga, and Pascal Frossard, Special Issue on Resource-Aware Adaptive Video Streaming, Journal of Visual Communication and Image Representation, vol. 19, no. 8, pp. 471-472, Dec. 2008. (41 submissions)
[5] Chia-Wen Lin, Yap-Peng Tan, Anthony Vetro, Alex Kot, and Ming-Ting Sun, Special Issue on Video Adaptation for Heterogeneous Environments, EURASIP Journal on Advances in Signal Processing, vol. 2007, 4 pages, May 2007. (23 submissions)
[1]
S.
Sahami, G. Cheung and C.-W. Lin, “Graph
unfolding and sampling for transitory video summarization via Gershgorin disc
alignment,” IEEE Trans. Image
Processing.
(under review)
[2]
J. Ke, D. Wang, J.-C. Chen, I.-H. Jhuo, C.-W. Lin,
and Y.-Y. Lin, “Make graph-based referring expression comprehension great again through
expression-guided dynamic gating and regression,” IEEE Trans. Multimedia, vol. 27, 2025. (to appear)
[3]
H.-C.
Shao, G.-Y. Chen, Y.-H. Lin, C.-W. Lin.,
S.-Y. Fang, P.-Y. Tsai, and Y.-H. Liu, “LithoHoD: A litho simulator-powered framework for IC
layout hotspot detection,” IEEE Trans.
Computer-Aided Design of Integrated Circuits and Systems, vol. 44, no. 3,
pp. 1098−1111, Mar. 2025.
[4]
Z.
Zhang, Z. Pan, Z.i Lin, A. Sharma, C.-W. Lin,
M. Pramanik, and Y. Zheng, “Acoustic resolution photoacoustic microscopy
imaging enhancement: integration of group sparsity with deep denoiser prior,” IEEE Trans. Image
Processing, vol. 34, pp. 522−537, Jan. 2025.
[5]
W.
Zhan, M. Lin, C.-W. Lin, and R. Ji, “AnySR: Realizing image super-resolution as
any-scale, any-resource,” IEEE Trans. Image
Processing, vol. 33, pp. 6564−6578, Nov. 2024.
[6]
A.
Huang, L. Li, Y. Niu, T. Zhao, and C.-W. Lin,
“Multi-view graph embedding learning for image
co-segmentation and co-localization,” IEEE Trans.
Circuits and Systems for Video Technology,
vol. 34, no. 6, pp. 4942−4956,
June 2024.
[7]
Y.-C.
Hung, W.-T. Su, T.-H. Chao, C.-W. Lin, and S.-H. Yang, “Terahertz deep learning fusion computed
tomography,” Optics Express, vol. 32, no. 10, pp. 17763−17774, Apr. 2024.
[8]
K. Jiang, Q. Wang, Z. An, Z. Wang, C. Wang, and C.-W.
Lin, “Mutual
retinex: Combining transformer and CNN for image enhancement,” IEEE Trans. Emerging
Topics in Computational Intelligence, vol. 8, no. 3, pp.
2240−2252, June 2024.
[9]
A. Huang, L. Li, Y. Niu, T. Zhao, and C.-W. Lin,
“Multi-view graph embedding learning for image co-segmentation and
co-localization,” IEEE Trans. Circuits and Systems for Video
Technology, vol. 34, no. 6, pp. 4942−4956, June 2024.
[10]
X. Ding, Z. Wang, J. Fang,
Z. Shu, R. Hu, and C.-W. Lin, “Watch you under low-resolution and low-illumination: Face enhancement
via bi-factor degradation decoupling,” IEEE Trans. Circuits
and Systems for Video Technology,
vol. 34, no. 5, pp. 3481−3495, May 2024.
[11] C. Tian, Y. Zhang, W. Zuo, C.-W. Lin,
D. Zhang, and Y. Yuan “A
heterogenous group CNN for image super-resolution,” IEEE Trans. Neural
Networks and Learning Systems, vol.
35, no. 5, pp. 6507−6519, May 2024.
[12] Y. Xiao, Q, Yuan, K. Jiang, X. Jin, J. He, L. Zhang, and C.-W.
Lin, “Local-global temporal
difference learning for satellite video super-resolution,” IEEE Trans.
Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2789−2802, Apr. 2024.
[13] N. Jiang, W. Chen, J. Lin, T. Zhao, and C.-W. Lin, “Video compression
artifacts removal with spatial-temporal attention-guided enhancement,” IEEE
Trans. Multimedia
vol. 26, pp. 5657−5669, Mar. 2024.
[14] J. Ke, J. Wang,
J.-C. Chen, I.-H. Jhuo, C.-W. Lin, and Y.-Y.
Lin, “CLIPREC: Graph-based domain adaptive network
for zero-shot referring expression comprehension,” IEEE Trans. Multimedia, vol.
24, pp. 2480−2492, Mar. 2024.
[15] Y. Xiao, Q, Yuan, K. Jiang, J. He, and C.-W.
Lin, and L. Zhang, “TTST: A Top-k token selective transformer for remote sensing
image super-resolution,” IEEE Trans. Image
Processing, vol. 33, pp. 738−752,
Jan. 2024.
[16] Q. Wang, K. Jiang, Z. Wang, W. Ren, and C.-W.
Lin, “Multi-scale fusion and decomposition network for single image deraining,” IEEE Trans. Image Processing, vol. 33, pp. 191−204, Jan. 2024.
[17] J. Xiao, K. Xu, M. Hu, L. Liao, Z. Wang, C.-W.
Lin, M. Wang, and S. Satoh, “Progressive motion
boosting for video frame interpolation,” IEEE Trans. Multimedia,
vol. 25, pp. 8076−8090, Dec. 2023.
[18] H.-C. Shao, M.-H. Chang, C.-Y. Chen, C.-H. Yu,
C.-W. Lin, and J.-W. Yang, “Retina-TransNet: A gradient-guided
few-shot retinal vessel segmentation net,” IEEE Journal of Biomedical and
Health Informatics, vol. 27, no. 10, pp. 4902−4913, Oct. 2023.
[19] W.-T. Su, Y.-C.
Hung, P.-J. Yu, S.-H. Yang, and C.-W. Lin, “Making
the invisible visible: Toward high-quality terahertz tomographic imaging via
physics-guided restoration,” International Journal of Computer
Vision (Special Issue on Physics-Based Vision Meets Deep Learning), vol.
131, no. 9. pp. 2388−2407, Sept. 2023.
[20] K. Huang, C. Tian, and C.-W. Lin, “Progressive
context-aware dynamic network for salient object detection in optical remote
sensing images,” IEEE Trans. Geoscience and Remote Sensing, vol. 61, 14
pages, Sept. 2023.
[21]
X.
Zhong, C. Gu, M. Ye, W. Huang, and C.-W. Lin, “Graph
complemented latent representation for few-shot image classification,” IEEE Trans. Multimedia, vol. 25, pp. 1979−1990, June 2023.
[22] W. Liu, X. Zhong, K. Jiang, Z. Wang, and C.-W.
Lin, “Dual-recommendation
disentanglement network for view fuzz in action recognition,” IEEE Trans. Image Processing, vol. 32, pp. 2719−2733, May 2023.
[23] M. Lin, R. Ji, Z. Xu, B. Zhang, F. Chao, M. Xu, C.-W. Lin, and
L. Shao, “SiMaN:
Sign-to-magnitude network binarization,” IEEE Trans. Pattern Analysis and Machine
Intelligence, vol. 45, no. 5, May 2023.
[24]
W.-T. Su, Y.-C. Hung, P.-J. Yu, C.-W.
Lin, and S.-H. Yang, “Physics-guided terahertz computational imaging,” IEEE Signal Processing Magazine (Special Issue on
Physics-Driven Machine Learning for Computational Imaging),
vol. 40, no. 2,
pp. 32−45, Mar. 2023.
[25] H.-C. Shao, H.-L. Ping, K.-S. Chen, W.-T. Su, C.-W. Lin, S.-Y. Fang, P.-Y. Tsai, and Y.-H.
Liu, “Keeping deep lithography simulators updated: Global-local shape-based
novelty detection and active learning,” IEEE Trans. Computer-Aided Design of
Integrated Circuits and Systems, vol. 42, no. 3, pp. 1000−1014, Mar. 2023.
[26] W. Hu, J. Pang, X. Liu, D. Tien, C.-W. Lin, and A. Vetro, “Graph signal processing for
geometric data and beyond: Theory and applications,” IEEE Trans.
Multimedia [Overview Article], vol. 24, pp. 3961−3977, Dec. 2022.
[27] F.-J. Tsai, Y.-T. Peng, C.-C.
Tsai, Y.-Y. Lin, and C.-W. Lin, “BANet: A
blur-aware attention network for dynamic scene deblurring,” IEEE Trans. Image
Processing. vol. 31, pp.
6789−6799, Oct. 2022.
[28] N. Jiang, W. Chen, Y. Lin, T. Zhao, and C.-W. Lin, “Underwater image
enhancement with lightweight cascade network,” IEEE Trans. Multimedia, vol. 24, pp. 4301−4313, Oct. 2022.
[29] M. Zhu, X. Wang, X. Xu,
Z. Wang, and C.-W.
Lin, “Continuous and unified
person re-identification,” IEEE
Signal Processing Letters, vol. 29,
pp. 1983−1987, Sept. 2022.
[30] B. Li, Y. Zhu, Y. Wang, C.-W. Lin, B. Ghanem, and L. Shen, “AniGAN:
Style-guided generative adversarial networks for unsupervised anime face
generation,” IEEE Trans. Multimedia, vol. 24, pp. 4077−4091, Aug. 2022.
[31] J. Xiao, W. Chen, L. Liao, Z. Wang, C.-W. Lin, and S. Satoh, “Unsupervised foggy scene
understanding via self spatial-temporal label diffusion,” IEEE Trans. Image Processing, vol. 31, pp. 3525−3540, June 2022.
[32] C. Tian, Y. Xu, W. Zuo, C.-W. Lin, and
D. Zhang, “Asymmetric CNN for image
super-resolution,” IEEE Trans. Systems,
Man and Cybernetics: Systems, vol. 52, no. 6, pp. 3718−3730, June
2022.
[33]
M.
Hu, L. Liao, J. Xiao, C.-W. Lin, and S. Satoh, “Capturing small, fast-moving objects: frame
interpolation via recurrent motion enhancement,” IEEE Trans.
Circuits and Systems for Video Technology, vol. 32, no. 6, pp. 3390−3406, June 2022.
[34] C. Chen, M. Ye, M. Qi, J. Wu, J. Jiang, and C.-W. Lin, “Structure-aware positional transformer for visible-infrared person
re-identification,” IEEE Trans. Image Processing,
vol. 31, pp. 2352−2364, Mar. 2022.
[35]
H.-C. Shao, H.-C. Wang,
W.-T. Su, and C.-W. Lin “Ensemble learning with
manifold-based data splitting for noisy label correction,” IEEE Trans.
Multimedia (Special Issue on Learning from Noisy
Multimedia Data), vol. 24, pp. 1127−1140, Mar. 2022.
[36]
X.
Zhong, T. Lu, W. Huang, X. Jia, and C.-W. Lin,
“Grayscale
enhancement colorization network for visible-infrared person re-identification,” IEEE Trans. Circuits and Systems for Video Technology, vol. 32, no. 3, pp.1418−1430, Mar. 2022.
[37] H.-C. Shao, K.-Y. Liu, W.-T. Su, C.-W. Lin,
and J. Lu “DotFAN: A
domain-transferred face augmentation net,” IEEE Trans. Image Processing, vol. 30, pp. 8759−8772, Nov. 2021.
[38] Y. Qiu, J. Chen, Z.
Wang, X. Wang, and C.-W. Lin, “Spatio-spectral
feature fusion for low-light image enhancement,” IEEE Signal
Processing Letters, vol. 28, pp.
2157−2161, Oct. 2021.
[39] X. Chai, J. Chen, C. Liang, D. Xu, and C.-W. Lin, “Expression-aware face
reconstruction via a dual-stream network,” IEEE Trans.
Multimedia (Special Section on ICME
2020 Best Papers), 2021, vol. 23, pp. 2998−3012, Sept. 2021.
[40] A. Huang, Z. Wang, Y. Zheng, T. Zhao, and C.-W. Lin, “Embedding
regularizer learning for multi-view semi-supervised classification,” IEEE Trans. Image Processing, vol. 30, pp. 6997−7011,
July 2021.
[41]
Z.
Huang, Z. Wang, C.-C. Tsai, S. Satoh, and C.-W. Lin, “DotSCN:
Group re-identification via domain-transferred single and couple representation
learning,” IEEE
Trans. Circuits and Systems for Video Technology, vol. 31, no. 7, pp. 2739−2750, July 2021.
[42] B. Li, C.-W. Lin, C. Zheng, S. Liu, B. Ghanem, W. Gao, and C.-C.
J. Kuo, “Shape-preserving
stereo object remapping via object-consistent grid warping,” IEEE Trans. Image Processing,
vol. 30, pp. 5889−5904, June 2021.
[43] C. Tian, Y. Xu, W. Zuo, B. Zhang, L. Fei, and
C.-W. Lin, “Coarse-to-fine CNN
for image super-resolution image data,” IEEE Trans.
Multimedia, vol. 23, pp.
1489−1502, June 2021.
[44] H.-C. Shao, C.-Y. Peng, J.-R. Wu, C.-W. Lin,
S.-Y. Fang, P.-Y. Tsai, and Y.-H. Liu, “From IC
layout to die photo: A CNN-based data-driven approach,” IEEE Trans.
Computer-Aided Design of Integrated Circuits and Systems, vol. 40, no. 5, pp.957−970, May 2021.
[45] L. Liao, J. Xiao, Z. Wang, C.-W. Lin, and S.
Satoh, “Uncertainty-aware
semantic guidance and evaluation for image inpainting,” IEEE Journal of Selected Topics
in Signal Processing (Special Issue
on Deep Learning for Image/Video Restoration and Compression), vol. 15, no. 2, pp. 310−323, Feb. 2021.
[46] A.Huang, T. Zhao, and C.-W.Lin, “Multi-view
data fusion oriented clustering via nuclear norm minimization,” IEEE
Trans. Image Processing, vol. 29, pp. 9600−9613, Oct. 2020.
[47] C. Tian, L. Fei, W. Zheng, Y. Xu, W. Zuo, and
C.-W. Lin, “Deep
learning on image denoising: An overview,” Neural Networks, no. 131, pp. 251−275, Nov. 2020.
[48] B. Li, C.-W. Lin, S. Liu, T. Huang, W. Gao, and C.-C. J. Kuo, “Perceptual
temporal incoherence-guided stereo video retargeting,” IEEE Trans.
Image Processing vol. 29, pp. 5767−5782, Apr. 2020.
[49]
M. Lin, R. Ji, S. Chen, X.
Sun, and C.-W. Lin, “Similarity preserving
linkage hashing for online image retrieval,” IEEE Trans. Image Processing, vol. 29, pp. 5289−5300, Mar. 2020.
[50] J. Chen, J. Chen, Z. Wang, C. Liang, and C.-W.
Lin, “Identity-aware
face super-resolution for low-resolution face recognition,” IEEE
Signal Processing Letter, vol. 27, pp. 645−649, Apr. 2020.
[51] C.-C. Hsu, C.-W. Lin, W.-T. Su, and G.
Cheung, SiGAN:
Siamese generative adversarial network for identity-preserving face
hallucination,” IEEE Trans. Image Processing, vol. 28, no. 12, pp.
6225−6236, Dec. 2019. (code: https://github.com/jesse1029/SiGAN)
[52] C. Zhou, C.-W. Lin, X. Zhang, and Z. Guo, “TFDASH: A
fairness, stability, and efficiency aware rate control approach for multiple
clients over DASH,” IEEE Trans. Circuits and Systems for Video
Technology, no. 29, vol. 1, pp.
198−211, Jan. 2019.
[53] G. Cheung, W.-T. Su, Y. Mao, and C.-W. Lin, “Robust
semi-supervised graph classifier learning with negative edge weights,” IEEE Trans. Signal
and Information Processing over Networks,
vol. 4, no. 4, pp. 712−716, Dec. 2018.
[54] X. Liu, G. Cheung, C.-W. Lin, D. Zhao, and W. Gao “Prior-based
quantization bin matching for cloud storage of JPEG images,” IEEE Trans. Image
Processing, vol. 27, no. 7, pp. 3222−3235, July 2018.
[55] C.-C. Hsu and C.-W. Lin, “CNN-based
joint clustering and representation learning with feature drift compensation
for large-scale image data,” IEEE Trans. Multimedia (Special
Issue on Large-Scale Multimedia Data Retrieval, Classification, and
Understanding) vol. 20, no. 2, pp. 421−429, Feb. 2018.
[56] C.-W. Lo, C. Zhou, C.-W.
Lin, and Y.-C. Chen, “An unequal error protection
scheme for reliable peer-to-peer scalable video streaming,” Journal of Visual Communication and Image
Representation, vol. 38, pp.
790−801, July 2016.
[57] C. Zhou and C.-W.Lin, and Z. Guo “mDASH: A Markov
decision based rate adaptation approach for dynamic HTTP streaming,” IEEE Trans. Multimedia, vol.
18, no. 4, pp. 738−751, Apr. 2016.
[58] B. Li, L. Duan, C.-W.
Lin, T. Huang, and W. Gao, “Depth-preserving
warping for stereo image retargeting,” IEEE
Trans. Image Processing, vol. 24, no. 9, pp. 2811−2826,
Sept. 2015. (project
page)
[59] L.-W. Kang, C.-C. Hsu, B. Zhuang, C.-W. Lin, and
C.-H. Yeh, “Learning-based
joint super-resolution and deblocking for a highly compressed image,” IEEE Trans. Multimedia, vol. 17, no. 7, pp. 921−934, July 2015. (project
page)
[60] Y. Fang, W. Lin, Z. Fang, Z. Chen, C.-W. Lin, and C. Deng,
“Visual acuity inspired saliency detection by using sparse features,” Information
Sciences, vol. 309, no. 10, pp. 6997−7011, July 2015.
[61] C. Zhou, C.-W.
Lin, X. Zhang, and Z. Guo,
“A novel JSCC
Scheme for UEP-based scalable video transmission over MIMO systems,” IEEE Trans. Circuits and Systems for Video Technology, vol. 25, no. 6, pp. 1002−1015, June
2015.
[62] C.-C. Hsu, L.-W. Kang, and C.-W. Lin, “Temporally
coherent super-resolution of textured video via dynamic texture synthesis,”
IEEE Trans. Image Processing, vol. 24, no. 3, pp. 919−931, Mar.
2015. (project page)
[63] C.-H. Yeh, L.-W. Kang, Y.-W. Chou, C.-W. Lin, and S.-J. Fan Jiang, “Self-learning-based post-processing for
image/video deblocking via sparse representation,” Journal of Visual
Communication and Image Representation, vol. 25, no. 5, pp. 891−903, July 2014.
[64] C.-C. Hsu, C.-W.
Lin, Y. Fang, and W. Lin,
“Objective
quality assessment for image retargeting based on perceptual geometric
distortion and information loss,” IEEE Journal of Selected Topics in Signal Processing (Special Issue on Perception Inspired Video
Processing), vol. 8, no. 3, pp. 377−389, June 2014. (project
page with source code)
[65] C. Zhou, C.-W.
Lin, X. Zhang, and Z. Guo,
“A
control-theoretical approach to rate adaptation for DASH over multiple content
distribution servers,” IEEE Trans.
Circuits and Systems for Video Technology, vol. 24, no. 4, pp. 681−694, Apr. 2014.
[66] B. Li, L. Duan, J. Wang, R. Ji, C.-W.
Lin, and W. Gao, “Spatiotemporal
grid flows for video retargeting," IEEE Trans. Image Processing, vol. 23, no. 4, pp. 1615−1628, Apr.
2014.
[67] Y. Fang, K. Zeng, Z. Wang, W. Lin, Z. Fang, and C.-W. Lin, “Objective
quality assessment for image retargeting based on structural similarity,” IEEE
Journal on Emerging and Selected Topics in Circuits and Systems (Special
Issue on Content-Aware Visual Systems: Analysis, Streaming and Retargeting),
vol. 3, no. 1, pp. 95−105, Mar. 2014.
[68] Y. Fang, W. Lin, Z.
Chen, C.-M. Tsai, and C.-W. Lin, “A video
saliency detection model in compressed domain,” IEEE Trans. Circuits and Systems for Video Technology, vol. 24, no. 1, pp. 27−38, Jan. 2014.
[69] D.-A. Huang, L.-W. Kang, Y.-C. F. Wang,
and C.-W. Lin, “Self-learning
based image decomposition with applications to single image denoising,"
IEEE Trans. Multimedia, vol.
16, no. 1, pp. 83−93, Jan. 2014. (source code)
[70] C.-W. Lin, C.-M. Tsai, and P.-C. Chen, “Low-overhead
content-adaptive spatial scalability for scalable video coding,” IEEE Journal of Selected Topics in Signal Processing (Special Issue on
Video Coding: HEVC and Beyond), vol.
7, no. 8, pp. 1084−1095, Dec. 2013.
[71] C.-M. Tsai, L.-W. Kang, C.-W. Lin,
and W. Lin, “Scene-based
movie summarization via role-community networks,” IEEE Trans. Circuits and Systems for Video Technology, vol. 23, no. 11, pp. 1927−1940, Nov. 2013.
[72] Y. Fang, W. Lin, Z.
Chen, and C.-W. Lin, “Saliency
detection in the compressed domain for adaptive image retargeting,” IEEE Trans. Image Processing, vol. 21, no. 9, pp. 3888−3901, Sept. 2012.
[73] C.-W. Lo, C.-W. Lin, Y.-C. Chen, and
J.-Y. Yu, “Contribution-guided
peer selection for reliable P2P video streaming over mesh-based networks,”
IEEE Trans. Circuits and Systems for Video Technology, vol.
22, no. 9, pp. 1388−1401, Sept. 2012.
[74] L.-W. Kang, C.-W. Lin, and Y.-H. Fu,
“Automatic
single-frame-based rain streaks removal via image decomposition,” IEEE
Trans. Image Processing, vol. 21, no. 4, pp. 1742−1755, Apr. 2012. (source code)
[75] Y. Fang, W. Lin,
B.-S. Lee, C. T. Lau, Z. Chen, and C.-W. Lin, “Bottom-up
saliency detection model based on human visual sensitivity and amplitude
spectrum,” IEEE Trans. Multimedia,
vol. 14, no. 1, pp. 187−198,
Feb. 2012.
[76] C.-H. Ling, Y.-M. Liang, C.-W. Lin, H.-Y. M. Liao, and Y.-S. Chen, “Human
object inpainting using manifold learning-based posture sequence estimation,” IEEE
Trans. Image Processing, vol. 20, no. 11, pp. 3124−3135, Nov. 2011.
[77] T.-C. Yen, C.-M. Tsai, and C.-W. Lin,
“Maintaining
temporal coherence in video retargeting using mosaic-guided scaling,” IEEE Trans. Image Processing, vol. 20, no. 8, pp. 2339−2351, Aug. 2011.
[78] C.-H. Ling, C.-W.
Lin, C.-W. Su, H.-Y. M. Liao, and Y.-S. Chen, “Virtual
contour-guided video object inpainting
using posture mapping and retrieval,” IEEE Trans. Multimedia, vol. 13, no. 2, pp. 292−302, Apr. 2011
[79] C.-M.Chen, C.-W.
Lin, and Y.-C. Chen, “Cross-layer error
protection for video streaming over wireless LANs using content-aware packet
retry limit adaptation,” IEEE Trans.
Circuits and Systems for Video Technology,
vol. 20, no. 11, pp. 1448−1461,
Nov. 2010.
[80] C.-W. Lin, Z.-H. Ling, Y.-C. Chang, and C. J. Kuo, “Compressed-domain
fall incident detection for intelligent homecare,” Journal of VLSI Signal Processing Systems for
Signal, Image, and Video Technology. (Special Issue on Audio-Visual Signal
Processing for Intelligent Security Systems), vol. 49, no. 3, pp. 393−408, Dec. 2007.
[81] Y.-C. Tsai, C.-W. Lin,
and C.-M. Tsai, “H.264 error
resilience coding based on multihypothesis motion-compensated prediction,” Signal Processing: Image Communication,
vol. 22, no. 9, pp. 734−751, Oct. 2007.
[82] C.-W. Su, H.-Y.
M. Liao, H.-R. Tyan, C.-W. Lin, D.-Y. Chen, and K.-C. Fan, “Motion
flow-based video retrieval,” IEEE Trans. Multimedia, vol. 9, no. 6, pp. 1193−1201, Oct. 2007.
[83] Y.-R. Lee and C.-W. Lin,
“Visual
quality enhancement for DCT-domain spatial downscaling transcoding using
generalized DCT decimation,” IEEE
Trans. Circuits and Systems for Video Technology, vol. 17, no. 8, pp. 1079−1084, Aug. 2007.
[84] C.-M. Chen, C.-W. Lin, H.-C. Wei,
and Y.-C. Chen, “Multiple
description transcoding and prioritized retransmission for robust video streaming
over wireless LANs,” Journal of
Visual Communication and Image Representation, vol. 18, no. 3, pp. 191−206, June 2007.
[85] C.-M. Chen, C.-M. Chen, C.-W. Lin,
and Y.-C. Chen, “Error resilience
video streaming over wireless networks using combined multiple-description
coding and scalable coding,” Signal
Processing: Image
Communication, vol.
22, no. 4, pp. 403-420, Apr. 2007.
[86] C.-M. Chen, C.-W. Lin,
and Y.-C. Chen, “Adaptive error
resilience transcoding for video multicast over wireless networks,” Signal
Processing: Image Communication (Special Issue on Mobile Video), vol. 22, no. 3, pp.
277−297,
Mar. 2007.
[87] Y.-H. Ho, C.-W. Lin, J.-F. Chen, and
H.-Y. M. Liao “Fast
coarse-to-fine video retrieval using shot-level statistics,” IEEE Trans. Circuits and Systems for Video
Technology, vol. 16, no. 5, pp. 642−648, May 2006.
[88] W.-N. Lie, T. C.-I. Lin, and C.-W. Lin, “Enhancing
video error resilience by using data embedding techniques,” IEEE Trans. Circuits and Systems
for Video Technology, vol. 16, no. 2, pp. 300−308, Feb. 2006.
[89] H.-J. Chiou,
Y.-R. Lee, and C.-W. Lin, “Content-aware
error resilient transcoding using prioritized intra-refresh for video streaming,” Journal of Visual
Communication and Image Representation (Special Issue on Visual Communications in the
Ubiquitous Era), vol.
[90] J. Xin, C.-W.
Lin, and M.-T. Sun, “Digital video
transcoding,” Proceedings of the IEEE (Special Issue on Advances in Video Coding and Delivery) , vol. 93, no.
[91] C.-W. Lin, Y.-C. Chen, and
M.-T. Sun, “Dynamic
region of interest transcoding for multipoint video conferencing,” IEEE Trans. Circuits and Systems for Video
Technology, vol.
[92] C.-W. Lin, Y.-J. Chang,
and Y.-C. Chen, “A low-complexity
face-assisted coding scheme for low-bit-rate video telephony,” IEICE Trans. Information and Systems, vol. E86-D, no.1, pp.101−108, Jan. 2003.
[93] S. Aramvith, C.-W. Lin, S. Roy, and M.-T. Sun, “Wireless video
transport using conditional retransmission and low-delay interleaving,” IEEE Trans. Circuits and Systems for Video
Technology (Special Issue on
Wireless Video), vol.
[94] C.-W. Lin, Y.-J. Chang,
C.-M. Wang, Y.-C. Chen, and M.-T. Sun, “A standard compliant
virtual meeting system with active video object tracking,” EURASIP Journal on Advances in Signal Processing, vol. 6, pp.
622−634, June 2002.
[95] C.-W. Lin, J. Zhou, J. Youn, and M.-T. Sun, “MPEG video
streaming with VCR functionality,” IEEE
Trans. Circuits and Systems for Video Technology (Special Issue on Internet Streaming
Video), vol.
[96] J. Youn, M.-T. Sun, and C.-W. Lin, “Motion vector
refinement for high performance transcoding,” IEEE Trans. Multimedia, vol.
[97] C.-W. Lin, E. Fei, and
Y.-C. Chen “Hierarchical
disparity estimation using spatial correlation,” IEEE Trans. Consumer Electronics, vol. 44, pp. 630−637 Aug.
[98] J. Youn, M.-T. Sun, and C.-W. Lin, “Motion estimation
for high performance transcoding,” IEEE
Trans. Consumer Electronics, vol. 44, pp. 649−658, Aug. 1998.
[1]
J.
Ke, J.-C. Chen, I.-H. Jhuo,
C.-W. Lin, and Y.-Y. Lin “Generation and
comprehension hand-in-hand: Vision-guided expression diffusion for boosting REG
and REC, ” ICLR, Apr. 2025, Singapore.
[2]
H.-H. Wang, F.-J. Tsai,
Y.-Y. Lin, and C.-W. Lin, “TANet: Triplet attention
network for all-in-one adverse weather image restoration,” ACCV, Dec. 2024, Hanoi,
Vietnam.
[3]
C.-Y. Lai, C.-T. Hsu, C.-C.
Hsu, and C.-W. Lin, “Prompt-guided multi-modal contrastive learning for
cross-compression-rate deepfake detection,” BMVC, Nov. 2024, Glasgow, UK.
[4]
J.-T. He, F.-J.
Tsai, J.-H. Wu, Y.-T. Peng,
C.-C. Tsai, Y.-Y. Lin, and C.-W. Lin, “Domain-adaptive
video deblurring via test-time reblurring,” ECCV, Oct. 2024, Milano, Italy.
[5]
J.-H. Wu, F.-J. Tsai, Y.-T.
Peng, C.-C. Tsai, C.-W. Lin, and Y.-Y. Lin, “ID-Blau: Image deblurring by implicit diffusion-based
reblurring augmentation,” CVPR, June 2024, Seattle,
USA.
[6]
H.-C. Shao, Y.-H. Lin, and C.-W. Lin, “A
fine-grained attribute pre-labeling method based on label dependency and
feature similarity dynamics,” IEEE ICASSP, April 2024, Seoul, Korea.
[7]
K. Jiang, W. Liu, Z. Wang,
X. Zhong, J. Jiang, and C.-W. Lin, “DAWN:
Direction-aware attention wavelet network for image deraining,” ACM Multimedia, Oct. 2023, Ottawa, Canada. (25% acceptance rate)
[8]
H. Wu, K. Chen, H. Liu, M. Zhuge, B. Li, R. Qiao, X. Shu, B.
Gan, L. Xu, B. Ren, M. Xu, W. Zhang, R. Ramachandra, C.-W. Lin, and B.
Ghanem, “NewsNet: A novel dataset for hierarchical temporal
segmentation,” in Proc. IEEE/CVF CVPR, June 2023, Vancouver, Canada. (26%
acceptance rate)
[9]
L. Liao, W. Chen, Z. Zhang,
J. Xiao, Y. Yang, and C.-W. Lin, and S. Satoh, “Only a few classes
confusing: Pixel-wise candidate labels disambiguation for foggy scene
understanding,” AAAI, Feb. 2023, Washington DC, USA. (20% acceptance rate)
[10]
H.-C. Shao, C.-W. Lin,
and S.-Y. Fang, “Data-driven
approaches for process simulation and optical proximity correction,” ASP-DAC, Jan. 2023, Tokyo, Japan.
[11]
P.-S. Liu, F.-J.
Tsai, Y.-T. Peng, C.-C. Tsai, and C.-W. Lin, Y.-Y. Lin, “Meta transferring
for deblurring,” BMVC, Nov. 2022, London, UK.
[12]
W.-T. Su,
Y.-C. Hung, P.-J. Yu, S.-H. Yang, and C.-W. Lin, “Seeing through a
black box: Toward high-quality terahertz imaging via subspace-and-attention
guided restoration,” ECCV, Oct. 2022, Tel-Aviv, Israel. (28% acceptance rate)
[13]
F.-J. Tsai, Y.-T. Peng,
C.-C. Tsai, Y.-Y. Lin, and C.-W. Lin, “StripFormer: Strip transformer for fast image deblurring,” ECCV, Oct. 2022, Tel-Aviv, Israel. (Oral, 2.7% acceptance
rate)
[14]
K. Jiang, Z.
Wang, C. Chen, Z. Wang, L. Cui, and C.-W. Lin, “Magic ELF: Image deraining meets association learning and transformer,” ACM Multimedia,
Oct. 2022, Lisbon, Portugal. (25% acceptance rate)
[15]
M.-H. Chang, C.-Y. Chen, C.-H. Yu, H.-C. Shao, and C.-W. Lin, “Vessel
segmentation and dirt/reflection detection for retinal fundus photographs,” IEEE ICIP, Oct.
2022, Bordeaux, France.
[16]
C.-S. Cheng, H.-C. Shao, and C.-W. Lin, “Task-aware
few-shot visual classification with improved self-supervised metric learning,” IEEE ICIP, Oct. 2022, Bordeaux, France.
[17]
K. Jiang, Z. Wang, Z. Wang, P. Yi, J. Jiang, J. Xiao, and C.-W. Lin, “DANet: Image deraining via
dynamic association learning,” IJCAI-ECAI, July 2022, Vienna, Austria. (15% acceptance rate)
[18]
X. Ma, Z. Wang,
Y. Zhang, Z. Wang, D. Dai, and C.-W. Lin, “Both style and fog
matter: Cumulative domain adaptation for semantic foggy scene understanding,” CVPR, June 2022, New Orleans, USA. (Oral, 4% acceptance rate)
[19]
S. Sahami, G.
Cheung, C.-W. Lin, “Fast graph sampling for short video summarization using Gershgorin
disc alignment,” IEEE ICASSP, March 2022, Singapore.
[20]
K. Jiang, Z.
Wang, Z. Wang, C. Chen, P. Yi, T. Lu, and C.-W. Lin, “Degrade is upgrade: Learning degradation for low-light image enhancement,” AAAI, Feb. 2022. (15% acceptance rate)
[21]
B. Li, C.-W.
Lin, C. Zheng, S. Liu, J. Yuan, B. Ghanem, and C.-C. J. Kuo,
“High quality disparity remapping with two-sage warping,” ICCV, Oct. 2021.
[22]
X. Wang, Z.Wang, W. Liu, X. Xu, J. Chen, and C.-W. Lin, “Consistency-constancy
bi-knowledge learning for pedestrian detection in night surveillance,” ACM
Multimedia, Oct. 2021
Chengdu, China.
[23]
L. Liao, J. Xiao, Z. Wang, C.-W.
Lin, and S. Satoh, “Image inpainting
guided by coherence priors of semantics and textures,” CVPR, June 2021, Tennessee, USA. (27% acceptance rate)
[24]
Q. Wu, P. Dai,
J. Chen, C.-W. Lin, Y. Wu, F. Huang, B. Zhong, and R. Ji, “Discover cross-modality nuances for visible-infrared
person re-identification,” CVPR, June 2021, Tennessee, USA. (Oral, 3% acceptance rate)
[25]
X. Zhong, Z. Yang, M. Ye, W. Huang, J. Yuan, and C.-W. Lin, “Auxiliary
bi-level graph representation for cross-modal image-text retrieval,” IEEE ICME, July 2021, Shenzhen, China.
[26]
Y. Luo, J. Ji, X. Sun, L. Cao, Y. Wu, F. Huang, C.-W. Lin, and R. Ji, “Dual-level Collaborative
Transformer for image captioning,” AAAI, Feb. 2021. (21% acceptance
rate)
[27]
M. Lin, R. Ji, Z. Xu, B. Zhang,Y.
Wang, Y. Wu, F. Huang, and C.-W. Lin, “Rotated binary neural network,” NeurIPS, Dec. 2020, Vancouver, Canada. (20% acceptance rate)
[28]
G. Lo, R. Ji, Y. Zhou, X.
Sun, J. Su, C.-W. Lin, and Q. Tian, “Cascade grouped attention network for referring
expression segmentation,” ACM Multimedia, Oct. 2020, Seattle, USA. (Oral, 7.7% acceptance
rate)
[29]
Z. Huang, Q.
Deng, C.-C. Tsai, and C.-W. Lin, “HardGAN: A haze-aware
representation distillation GAN for single image dehazing,” ECCV, August 2020, Glasgow, UK. (27%
acceptance rate)
[30]
L. Liao, J. Xiao, Z. Wang, C.-W.
Lin, and S. Satoh, “Guidance and evaluation:
semantic-aware image inpainting for mixed scenes,” ECCV, August 2020, Glasgow,
UK.
(27% acceptance rate)
[31]
X. Wang, J.
Chen, Z. Wang, W. Liu, S. Satoh, C. Liang, and C.-W. Lin, “When pedestrian detection meets nighttime
surveillance: A new benchmark,” IJCAI, July 2020,
Yokohama, Japan. (12.6%
acceptance rate)
[32]
X. Zhong, T. Lu, W. Huang,
J. Yuan, W. Liu, and C.-W.
Lin,
“Visible-infrared person re-identification via colorization-based Siamese generative
adversarial network,” ACM ICMR, June 2020, Dublin, Ireland.
(Oral)
[33]
X. Chai, J. Chen, C.
Liang, D. Xu, and C.-W. Lin, “Expression-aware
face reconstruction via a dual-stream network,” IEEE ICME, July 2020, London, UK. (Oral)
[34]
W.-T. Su, G.
Cheung, R. P. Wildes, and C.-W. Lin, “Graph neural
net using analytical graph filters and topology optimization for image
denoising,” IEEE ICASSP, May 2020,
Barcelona, Spain. (paper)
[35]
J. Hu, R. Ji, S. Zhang, X. Sun, Q. Ye, C.-W. Lin,
and Q. Tian, “Information Competing Process for Learning Diversified
Representation,” NeurIPS, Dec. 2019,
Vancouver, Canada. (paper)
[36]
Z. Huang, Z. Wang, W. Hu, C.-W. Lin, and S. Satoh,
“DoT-GNN: Domain-transferred graph neural network for group
re-identification,” ACM Multimedia, Oct. 2019,
Nice, France. (paper)
[37]
B. Li,
C.-W. Lin, S. Liu, W. Gao, and C.-C. J. Kuo,
“Stereo Image Depth Mapping via Axis-Aligned Warping,” IEEE ICIP, Sept. 2019, Taiwan.
[38]
Z. Huang, C.-W. Lin, H.-C. Shao, and X. Huang “Consistency constrained
reconstruction of depth map from epipolar plane
images,” IEEE ICASSP, May 2019, Brighton, United Kingdom.
[39]
B. Li, C.-W. Lin, S. Liu, T. Huang, W. Gao, and
C.-C. J. Kuo, “Perceptual temporal incoherence aware
stereo video retargeting,” ACM Multimedia, Oct. 2018, Seoul, Korea. (paper)
[40]
W.-T. Su, C.-C. Hsu, Z.
Huang, C.-W. Lin, and Gene Cheung,
“Joint pairwise learning and image clustering based on a Siamese CNN,” IEEE ICIP, Oct. 2018, Athens, Greece.
[41]
S. Zhang, J. Hu, R. Ji, and C.-W.
Lin, “Robust face sketch synthesis via generative adversarial fusion of
priors and parametric sigmoid,” IJCAI, July 2018, Stockholm, Sweden. (paper)
[42]
B. Li, C.-W. Lin, B. Shi, T. Huang, W. Gao, and
C.-C. J. Kuo, “Depth-aware stereo video
retargeting,” CVPR, June 2018,
Salt Lake City, Utah, USA. (paper,
project page)
[43]
M. Kaneko, G. Cheung, W.-T. Su,
and C.-W. Lin, “Graph-based
joint signal / power restoration for energy harvesting wireless sensor
networks,” IEEE GlobeCom, Dec. 2017,
Singapore. (arXiv)
[44]
C.-C. Hsu and C.-W. Lin, “Unsupervised convolutional neural networks
for large-scale image clustering,” IEEE ICIP, Oct. 2017, Beijing,
China.
[45]
W.-T. Su, G. Cheung, and C.-W. Lin, “Graph Fourier transform
with negative edge weights for depth image coding,” IEEE ICIP, Oct.
2017, Beijing, China. (arXiv)
[46]
W.-T. Su, G. Cheung, Y. Mao,
and C.-W. Lin, “Robust
graph-based image classifier with negative edge weights,”
IEEEICME., July
2017, Hong Kong, China.
[47]
Y. Mao, G. Cheung, C.-W. Lin, and Y. Ji, "Joint learning of similarity graph and image
classifier from partial labels," APSIPA ASC, Jeju, Korea, December 2016.
[48]
F.-Y. Chao, J. Xu, and C.-W. Lin, "Mining user interests from social media by
fusing textual and visual features," APSIPA ASC, Jeju, Korea, December 2016.
[49]
Y. Mao, G. Cheung, C.-W. Lin, and Y. Ji, "Image classifier learning from noisy labels
via generalized graph smoothness priors," in Proc. IEEE IVMSP Workshop, Bordeaux, France, July
2016. (Best Student Paper Award)
[50]
Z. Ju, W. Lin, M. Y. Yang, B. Zhang, C. Luo, C.-W.
Lin, and T. Mei, " A representative-based framework for parsing
and summarizing events in surveillance videos," IEEE ICME
Workshops (Workshop on Emerging
Multimedia Systems and Application: Multimedia Big Data Processing and
Analytics), Seattle, Washington, USA, July 2016.
[51]
Y. Wang, H. Sha, W. Lin, H. Yang, C.-W. Lin,
"Improved 3D-model texture mapping
with region-of-interest weighting and iterative boundary-texture updating,"
IEEE ICME Workshops (Workshop
on Emerging Multimedia Systems and Application: Multimedia Big Data Processing
and Analytics), Seattle, Washington, USA, July 2016.
[52]
W.-T. Su, C.-C. Hsu, C.-W.
Lin, and W. Lin “Supervised-learning
based face hallucination for enhancing face recognition,” IEEE ICASSP, March 2016, Shanghai, China.
[53]
X. Liu,
G. Cheung, C.-W. Lin, and D. Zhao, “Quantization bin matching for cloud storage of JPEG images,” IEEE ICASSP, March 2016, Shanghai, China.
[54]
C. Zhou and C.-W.
Lin, “A Markov decision
based rate adaption approach for dynamic HTTP streaming,”
IEEE VCIP, Dec. 2015, Singapore. (Best Paper Award)
[55]
J.-Y.
Li, L.-W. Kang, C.-M. Tsai, and C.-W. Lin, “Learning-based
movie summarization via role-community analysis and feature fusion,”
IEEE MMSP, Oct. 2015, Xiamen, China.
[56]
B. Li, L. Duan, C.-W. Lin, and W. Gao, “Region-based depth-preserving
stereoscopic image retargeting,” IEEE
ICIP, Oct. 2014, Paris, France.
[57]
C.-C. Hsu, L.-W. Kang, and C.-W. Lin, “Video super-resolution via dynamic texture
synthesis,” IEEE MMSP, Sept. 2014,
Jakarta, Indonesia.
[58]
C. Zhou, C.-W. Lin,
X. Zhang, and Z. Guo, “Buffer-based smooth rate adaptation for dynamic HTTP
streaming”, APSIPA ASC, Oct. 2013,
Kaohsiung, Taiwan.
[59]
C.-C. Hsu, C.-W. Lin, Y. Fan, and W. Lin, “Quality assessment for image retargeting
based on geometric distortion and information loss,” IEEE VCIP, Nov. 2013, Sarawak, Malaysia.
[60]
L.-W. Kang, B.-C. Chuang, C.-C. Hsu, C.-W.
Lin, and C.-H. Yeh, “Self-Learning-Based
Single Image Super-Resolution of a Highly Compressed Image,” IEEE MMSP,
Sept. 2013, Sardinia, Italy. (top 10% paper award)
[61]
C.-W. Lo, C.-W. Lin, and Y.-C. Chen, “A hybrid
sender/receiver-driven error protection scheme for reliable peer-to-peer video
streaming,” IEEE ICIP, Sept. 2013, Melbourne, Australia.
[62]
C.-W.
Lin, C.-M. Tsai, P.-C.
Chen, and L.-W. Kang, “Low-overhead
content-adaptive spatial scalability for scalable video coding,” IEEE ChinaSIP, July 2013, Beijing, China. (invited paper)
[63]
Y. Fang, W. Lin, Z. Chen, C.-W. Lin, Z. Fang,
and C. Deng “A saliency detection model based on sparse features and visual
acuity,” IEEE
ISCAS, May 2013, Beijing, China.
[64]
Y.-W. Chiou, L.-W. Kang, C.-H. Yeh ,
and C.-W. Lin, “Efficient image/video deblocking via
sparse representation,” VCIP , Nov. 2012, San Diego, CA.
[65]
Y. Fang, W. Lin, Z. Chen, and C.-W. Lin,
“Video saliency detection in the compressed domain,” ACM
Multimedia (Short Paper) Nov. 2012, Nara, Arizona, Japan.
[66]
C.-H.
Ling, C.-W. Lin, C.-T. Hsu, and H.-Y. M. Liao, “Exemplar-based
object posture super-resolution using manifold learning,” IEEE MMSP, Sept. 2012, Banff,
Canada.
[67]
D.-A.
Huang,
L.-W. Kang, C.-Y. Tsai, M.-C. Yang, C.-W. Lin, and Y.-C.
F. Wang, "Context-aware
single image rain removal," IEEE
ICME, July 2012, Melbourne. (top
15% oral papers)
[68]
L.-W. Kang, C.-W. Lin, C.-T. Lin and Y.-C. Lin, “Self-learning-based
rain streak removal for image/video,” IEEE ISCAS, May 2012, Seoul,
Korea.
[69]
C.-Y.
Lin, C.-C. Hsu, C.-W. Lin, and L.-W. Kang, “Fast
deconvolution-based image super-resolution using gradient prior,” VCIP Conf., Nov. 2011, Tainan,
Taiwan.
[70]
Y.
Fang, Z. Chen, W. Lin, C.-W. Lin, and C.-M. Tsai, “Image retargeting based
in the sensitivity-tuned visual significance map,” VCIP, Nov. 2011,
Tainan, Taiwan. (invited paper)
[71]
C.-C.
Hsu and C.-W. Lin, “Image
superresolution via feature-base affine transform,” IEEE MMSP, Oct.
2011, Hang-Zhou, China.
[72]
Y. Fang, W. Lin, Z. Chen, and C.-W. Lin,
“Saliency-based image retargeting in compressed domain,” ACM Multimedia (Short Paper)
Nov. 2011, Scottsdale, Arizona, USA.
[73]
C.-W.
Lo, C.-W. Lin, Y.-C. Chen, and J.-Y. Yu, “Contribution-based
peer selection for packet protection for P2P video streaming over mesh-based
networks,” IEEE ICIP, Sept. 2011, Brussels, Belgium.
[74]
C.-M. Tsai, T.-C. Yen, and C.-W. Lin, "Mosaic-guided video retargeting for video adaptation,". SPIE Conf. Applications of Digital Image
Process. (SPIE Optics+Photonics)
Aug. 2011, San Diego,
CA, USA.
[75]
C.-W.
Lo, C.-W. Lin, Y.-C. Chen, and J.-Y. Yu, “A packet loss
estimation model and its application to reliable peer-to-peer video streaming,”
IEEE ICME Workshops (Workshop on Streaming and Media Communications (in conjunction), July 2011,
Barcelona, Spain.
[76]
Y.-H.
Fu, L.-W. Kang, C.-W. Lin, and C.-T. Hsu, “Single-frame-based
rain removal via image decomposition,” IEEE ICASSP, May 2011,
Prague, Czech Republic.
[77]
C.-C.
Hsu, C.-W. Lin, C.-T. Hsu, and H.-Y. M. Liao, “Face
hallucination using Bayesian global estimation and local basis selection,” IEEE
MMSP, Oct. 2010, Saint-Malo, France
[78]
C.-H.
Ling, Y.-M. Liang, C.-W. Lin, H.-Y. M. Liao, and Y.-S.
Chen, “Video
object inpainting using manifold-based posture estimation,” IEEE ICIP,
Sept. 2010, Hong Kong, China
[79]
C.A. Chen, C.-W. Lo, C.-W. Lin, and Y.-C. Chen
“A
game-theoretical pricing mechanism for rate allocation for multi-user video
transport over WiMAX,” SPIE
VCIP, July 2010, An Hui,
China. (invited paper)
[80]
N.-C. Cheng and C.-W. Lin, “Video
inpainting using dynamic texture synthesis,” IEEE ISCAS, May 2010,
Paris, France.
[81]
C.-W.
Lo, C.-W. Lin, and Y.-C. Chen, “On peer selection and
packet protection for reliable per-to-peer video streaming,” IEEE PCM, Dec. 2009, Bangkok, Thailand. (invited paper)
[82]
C.-H.
Ling, C.-W. Lin, C.-W. Su, H.-Y. M. Liao, and
Y.-S. Chen, “Video
object inpainting using posture mapping,” IEEE ICIP, Nov. 2009,
Cairo, Egypt.
[83]
C.-M.
Tsai, C.-W. Lin, W. Lin, and W.-H. Peng, “A comparative study on
attention-based rate adaptation in scalable video coding,” IEEE
ICIP, Nov. 2009, Cairo, Egypt.
[84]
C.-C.
Wang, Y.-C. Su, C.-T. Hsu, C.-W. Lin, and
H.-Y. M. Liao, “Bayesian
aging estimation on face images,” IEEE ICME June 2009, Cancun,
Mexico.
[85]
C.-C.
Hsu, C.-W. Lin, C.-T. Hsu, and H.-Y. M. Liao, “Cooperative face
hallucination using multiple references,” IEEE ICME, June 2009,
Cancun, Mexican.
[86]
C.-C.
Hsu, T.-Y. Hung, C.-W. Lin, and C.-T. Hsu, “Video forgery
detection using the correlation of noise residue,” IEEE MMSP, Oct.
2008, Cairns, Queensland,
Australia.
[87]
C.-W.
Liao, C.-W. Lin, and W.-Y. Lin, “Person
authentication using face video with random passwords,” IEEE ICME,
June 2008, Hanover, Germany.
[88]
F.-T.
Wei, S.-T. Chou, and C.-W. Lin, “A region-based
object tracking scheme using Adaboost-based feature selection,” IEEE
ISCAS, May 2008, Seattle, WA, USA.
[89]
H.-Y.
Chi, C.-W. Lin, Y.-C. Chen, and C.-M. Chen, “Optimal Rate
Allocation for Scalable Video Multicast over WiMAX,” IEEE ISCAS, May 2008, Seattle,
WA, USA.
[90]
J.-S.
Shen, C.-H. Chen, C.-M. Tsai, and C.-W. Lin, "Computation-aware
intra-mode decision for H.264 coding and transcoding," IEEE ISM, Dec. 2007, Taichung,
Taiwan. (invited paper)
[91]
C.-W.
Lin and Z.-H. Ling, "Automatic fall
incident detection in compressed video for intelligent homecare," in Proc. Int. Workshop Multimedia
Analysis & Processing, Aug. 2007, Hawaii, USA.
[92]
C.-M.
Chen, C.-W. Lin, and Y.-C. Chen, "Adaptive error resilience
transcoding and fairness grouping for video multicast over wireless networks,"
IEEE ICC., June 2007,
Glasgow, Scotland.
[93]
C.-W. Chiou, C.-M. Tsai, and C.-W. Lin, “Fast mode decision
algorithms for adaptive GOP structure in H.264 scalable extension,” IEEE
ISCAS, May 2007, New Orleans, USA.
[94]
Y.-C.
Tsai, C.-M. Tsai, and C.-W. Lin, “H.264 error
resilience coding based on multihypothesis motion-compensated prediction and
adaptive intra refresh,” IEEE
IIS-MHP, Dec 2006, Pasadena, CA, USA. (invited paper)
[95]
C.-M.
Chen, C.-W. Lin, and Y.-C. Chen, “Packet scheduling
for video streaming over wireless with content-aware packet retry limit,” IEEE MMSP, Oct. 2006, Victoria,
BC, Canada.
[96]
S.-M.
Hsu and C.-W. Lin, “A novel
seamless bitstream switching scheme for H.264 video adaptation with enhanced
coding performance,” IEEE
ICIP, Oct. 2006, Atlanta, GA, USA.
[97]
C.-M.
Chen, C.-W. Lin, and Y.-C. Chen, “Unequal error protection
of video streaming over wires LANs using content-aware packet retry limit,”
IEEE ICME July 2006, Toronto, Canada.
[98]
K.-Z.
Chen, Y.-J. Chang, and C.-W. Lin “Video-based
authentication using appearance models and HMMs,” IEEE ISCAS, May
2006, Island of Kos, Greece.
[99]
C.-M.
Chen, Y.-C. Chen, and C.-W. Lin “Error
resilience transcoding using content-aware intra-refresh based on profit
tracing,” IEEE ISCAS, May 2006, Island of Kos, Greece.
[100] C.-W. Su, H.-Y.
M. Liao, K.-C. Fan, C.-W. Lin and H.-R. Tyan, “A motion-flow-based fast
video retrieval system,” ACM SIGMM International Workshop on Multimedia
Information Retrieval, Nov. 2005, Singapore.
[101] D.-Y. Chen, H.-Y. M. Liao, H.-R. Tyan, and C.-W.
Lin, “Automatic key posture selection for human behavior
analysis,” IEEE MMSP, Oct. 2005, Shanghai, China.
[102] Y.-R. Lee and C.-W. Lin, “DCT-domain
downscaling transcoding using generalized DCT decimation,” IEEE ICIP,
Sept. 2005,
[103] Y.-H. Ho, C.-W. Lin, J.-F. Chen, and
H.-Y. M. Liao “Fast coarse-to-fine
video retrieval via shot-level statistics,” SPIE VCIP, July 2005, Beijing, China. (won the Young Investigator Award)
[104] Y.-L. Lai, Y.-Y. Tseng, C.-W. Lin,
Z. Zhou, and M.-T. Sun, “H.264 encoder
speed-up via joint algorithm/code-level optimization,” SPIE VCIP, July 2005, Beijing, China.
[105] C.-M. Chen, Y.-R. Lee, C.-W. Lin,
and Y.-C. Chen “Channel-aware robust video streaming over wireless LANs using
multiple-description FGS coding,” Int. Symp. Multimedia over Wireless,
WirelessCom, June 2005,
[106] Y.-C. Tsai and C.-W. Lin, “H.264 error resilience
coding based on multihypothesis motion-compensated prediction,” IEEE ICME, July
2005, Amsterdam, the Netherlands.
[107] C.-M. Chen, Y.-R. Lee, C.-W. Lin,
and Y.-C. Chen “Adaptive error
resilience transcoding for video multicast over wireless networks,” in Proc. IEEE Int. Conf. Multimedia and
Expo, July 2005, Amsterdam, the Netherlands.
[108] C.-P. Chang and C.-W. Lin, “R-D optimized
quantization of H.264 SP-frames for bitstream switching with storage
constraints,” IEEE ISCAS, May 2005, Kobe, Japan.
[109] C.-M. Chen, Y.-C. Chen, and C.-W. Lin,
“Seamless roaming
in wireless networks for video streaming,” IEEE ISCAS, May 2005,
Kobe, Japan.
[110] C.-W. Lin, Z.-H. Ling,
Y.-C. Chang, and C. J. Kuo, “Compressed-domain
fall incident detection for intelligent home surveillance,”. IEEE ISCAS, May 2005, Kobe, Japan.
[111] J.-F. Chen, H.-Y. M. Liao, and C.-W. Lin ,
“Fast video retrieval via the statistics of motion,”
IEEE ICASSP, March 2005, Philadelphia,
PA, USA.
[112] Y.-R. Lee, C.-W. Lin, S.-H. Yeh, and
Y.-C. Chen, “Low-complexity
DCT-domain video transcoder for arbitrary-size downscaling,” IEEE MMSP,
Sept. 2004, Siena, Italy.
[113] Y.-H. Ho, W.-R. Chen, and C.-W. Lin,
“A rate-constrained
key-frame extraction scheme for channel-aware video streaming,” IEEE
ICIP, Oct. 2004, Singapore. (nominated for the IBM Student Paper Awards)
[114] S.-R. Chen, C.-P. Chang, and C.-W. Lin,
“MPEG-4 FGS
performance improvement using adaptive inter-layer prediction,” IEEEICASSP,
May 2004, Montreal, Canada.
[115] H.-C. Wei, Y.-C. Tsai, and C.-W. Lin,
“Prioritized
retransmission for error protection of video streaming over WLAN,” IEEE
ISCAS, May 2004, Vancouver, Canada.
[116] H.-J. Chiou,
Y.-R. Lee, and C.-W. Lin, “Error-resilient
transcoding using adaptive intra-refresh for video streaming,” IEEE
ISCAS, May 2004, Vancouver, Canada.
[117] Y.-R. Lee, C.-W.
Lin, and Y.-W. Chen, “Computation
reduction in cascaded DCT-Domain video downscaling transcoding,” IEEE
ISCAS, vol. 2, pp. 860-863, May 2003,
[118] Y.-K. Chou, and L.-C. Jian, and C.-W.
Lin, “MPEG-4
video streaming with drift-compensated bit-stream switching,” IEEE PCM Dec. 2002, Hsinchu,
Taiwan.
[119] C.-W. Lin, C.-M. Wang, Y.-J. Chang, and Y.-C. Chen, “Realtime object
extraction and tracking using an active camera with image mosaics,” IEEE MMSP, Dec. 2002, Virgin
Islands, USA.
[120] Y.-R. Lee, C.-W.
Lin, and C.-C. Kao, “A DCT-domain
video transcoder for spatial resolution downconversion,” Visual
Information System, Mar. 2002, Hsinchu, Taiwan.
[121] J. Pan, C.-W. Lin, C. Gu, and M.-T. Sun, “A robust
spatio-temporal video object segmentation scheme with prestored background
information,” IEEE ISCAS, pp. 803-806, May 2002,
[122] C.-W. Lin, Y.-J. Chang, Y.-C. Chen, and M.-T. Sun, “Implementation
of a realtime virtual meeting system,” IEEE ICME, pp. 565-568, Aug.
200
[123] C.-W. Lin and Y.-R. Lee, “Fast algorithms
for DCT-domain video transcoding,” IEEE ICIP, pp. 42
[124] C.-W. Lin, J. Zhou, M.-T. Sun and H.-H. Hsu, “Minimum cost
implementation of full VCR functionality in MPEG video streaming,” IEEE
ISCAS V-33~36, Jun. 200
[125] S. Aramvith, C.-W.
Lin, S. Roy, and M.-T. Sun, “Wireless
video transport using conditional retransmission and low-delay interleaving,”
IEEE ISCAS, pp. V-
[126] S. Aramvith, C.-W.
Lin, and M.-T. Sun, “Wireless
video transport using conditional retransmission and low-delay interleaving,”
in Proc. Packet Video Workshop, May 200
[127] C.-W. Lin, Y.-C. Chen, and M.-T. Sun, “Dynamic region of
interest transcoding for multipoint video conferencing,” in Proc. Int.
Computer Symp., Workshop on Computer Networks,
Internet, and Multimedia, pp.
[128] C.-W. Lin, W.-X. Lin, Y.-C. Chen, and M.-T. Sun, “Implementation of
H.323 compliant virtual meeting systems,” in Proc. Int. Computer Symp., Workshop on Computer Networks, Internet, and
Multimedia, pp. 88-95, Dec. 2000, Chiayi, Taiwan.
[129] C.-W. Lin, J. Youn, J. Zhou, M.-T.
Sun and I. Sodagar, “MPEG video streaming
with VCR functionality,” in Proc. IEEE Int. Symp. Multimedia Software
[130] C.-W. Lin, W.-H. Wang, Y.-C. Chen, M.-T. Sun and J.-N. Hwang, “Implementation of H.323
video conference systems with personal presence control,” IEEE ICCE,
June 2000, Los Angeles.
[131]
C.-W.
Lin, Y.-J. Chang, and
Y.-C. Chen, “Low-complexity
face-assisted video coding,” IEEE ICIP, pp. 207-210, Sep. 2000.
Vancouver, BC, Canada.
[132] C.-W. Lin, T.-J. Liao, and Y.-C. Chen, “Dynamic rate
control in multipoint video transcoding,” IEEE ISCAS, pp. II-
[133] C.-W. Lin, E. Fei, and Y.-C. Chen, “Rate-distortion
constrained quadtree segmentation for stereoscopic video coding,” IEEE
USCAS, pp. IV-3
[134] C.-W. Lin, E. Fei, and Y.-C. Chen, “Efficient video coding
with R-D constrained quadtree segmentation,” PCS., pp. 57-60, March
2
[135] C.-W. Lin, Y.-J. Chang, and Y.-C. Chen, “Hierarchical motion
estimation algorithm based on pyramidal successive elimination,” Int.
Computer Symp., pp. 4
[136] J.-N. Hwang, T.-D. Wu, and C.-W. Lin,
"Dynamic frame
skipping in video transcoding,” IEEE
MMSP, Dec.
[137] C.-W. Lin, E. Fei, and Y.-C. Chen, “Rate-distortion optimized
quadtree coding of Video,” in Proc.
Int. Symp.
on Multimedia Information Proc., Dec.
[138] C.-W. Lin, J. Youn, Y.-C. Chen, and
M.-T. Sun, "A study on video transcoder architecture," in Proc.
IEEE Int. Symp. Consumer Electronics, Oct.
[139] C.W.Lin, E. Fei, and Y.-C. Chen "Hierarchical
disparity estimation using spatial correlation,” in Proc. IEEE ICCE, June.
[140] M.-Y. Hwang, C.-W. Lin, and Y.-C.
Chen, “3-D object-based coding algorithm for stereo image coding,” Int. Workshop on Synthetic-Natural Hybrid
Coding and Three Dimensional Imaging, pp.
[141] M.-Y. Hwang, C.-W. Lin, and Y.-C.
Chen, “3-D object-based coding algorithm for stereo image sequences,” in Proc.
Int. Symp. Multimedia Information Proc., pp.
[142] C.-W. Lin and S.-C. Wang, “A study on SDH STM-1
Add-Drop Multiplexer architecture,” in Proc. IEEE Int. Conf.
Communication System, 1994,
[143] C.-W. Lin, Y.-C. Chen and C.-L. Wang, "Efficient VLSI
architectures for multirate systems and subband filtering", in Proc. IEEE Workshop
on Visual Signal Processing and Communications, pp.
[144] Chia-Wen Lin, Yung-Chang Chen and Chin-Liang Wang, "Efficient
bit-level systolic array for QMF banks"
SPIE VCIP, 1992, Boston, U.S.A.
[145] C.-W. Lin, Y.-C. Chen and C.-L. Wang, "An efficient
architecture for HDTV subband filter banks,” Int. Workshop on HDTV'92, Oct.
Awarded
[1]
J. Youn, M.-T. Sun, and C.-W.
Lin, " Method and apparatus for motion estimation for high performance
transcoding,” USA patent #6,466,623 (filed in Mar. 1999; awarded in Oct. 2002).
[2]
Ting-Ying
Kuo, C.-C. Jay Kuo, and
[3]
J. Youn, M.-T. Sun, C.-W.
Lin and W.-H. Wang, “Transcoding apparatus and method,” USA patent #6,650,707 (filed in Mar. 200
[4]
C.-W.
Lin, “Video transcoder,
video transcoding method, and video communication system and method using video
transcoding with dynamic sub-window skipping,” USA
patent
# 6,711,212
(filed in Sept. 2000; awarded in Mar. 2004).
[5]
C.-W.
Lin, M.-T. Sun, and H.-H.
Hsu, “Methods and systems for video streaming with VCR functionality,” USA patent #6,738,980 (filed in
Nov. 200
[6]
C.-W.
Lin, Y.-R. Lee, and Y.-K.
Chou, “Low-complexity spatial downscaling video transcoder and method thereof,”
USA patent #7,180,944 (filed in July 2004;
awarded in Feb. 2007).
[7]
C.-W.
Lin and S.-R. Chen,
“Method and apparatus for MPEG-4 FGS performance enhancement,” USA patent # 7,227,894 (filed in Feb. 2004;
awarded in June 2007).
[8]
C.-W.
Lin, H.-K. Tsai, and J.-J.
Luo, “Methods and systems for video transcoding in DCT domain with low
complexity,” USA patent # 7,236,529 (filed in May 2002; awarded
in June 2007).
[9]
C.-W. Lin, Z.-H. Ling, and K.-Z. Lee, “Object tracking
systems and methods utilizing compressed-domain motion-based segmentation,” USA patent # 7,835,542 (filed in May 2006; awarded in Nov. 2010).
[10]
I.-H. Lee, C.-W. Lin, and S.-M. Hsu, “Encoders
and image encoding methods,” USA patent
# 8,175,151 (filed in Mar. 2007;
awarded in May 2012).
[11]
C.-S. Shen and C.-W. Lin, “Methods for
selecting a prediction mode,” USA patent
# 8,467,451 (filed in Nov. 2007;
awarded in June 2013).
[12]
C.-W. Lin and C.-C. Hsu “Method and system for
example-based face hallucination,” USA
patent # 8,488,913 (filed
in Aug. 2010; awarded in July 2013).
[13]
L.-W. Kang, C.-W. Lin and C.-T. Lin, and Y.-C.
Lin, “Method and apparatus for single-image-based rain streak removal,” USA patent # 8,774,546 (filed in July 2012; awarded in July 2014).
ROC Patents
[14]
俞傑男、孫明廷、林嘉文, “視訊轉換編碼之運動向量修正系統與方法,” 中華民國專利
[15]
張耀仁、林嘉文、陳永昌, “人臉偵測方法,” 中華民國專利
[16]
郭天穎、郭宗杰、林嘉文, “基於運動補償之快速視訊畫面內插器,” 中華民國專利
[17]
林嘉文, “一種採用動態子視窗捨棄轉換編碼方法的視訊轉換,” 中華民國專利
[18]
林嘉文、張耀仁、陳永昌, “臉部資訊輔助之視訊轉換編碼方法,” 中華民國專利
[19]
俞傑男、孫明廷、林嘉文、王文豪, “一種視訊轉換編碼方法及裝置,” 中華民國專利
[20]
林嘉文、孫明廷、徐宏昇, “具有數位放影機功能之視訊資料流傳輸方法與系統,” 中華民國專利 205,0
[21]
林嘉文、
[22]
林嘉文、李育瑞、
[23]
林嘉文、曾郁元、周凡迪, “可變區塊大小編碼之快速模式判斷方法,” 中華民國專利 I249,907號, 專利期間：
[24]
林嘉文、
[25]
林嘉文、陳樹人, “具細緻可伸縮性之編解碼裝置與方法,” 中華民國專利 I293,833號, 專利期間：2008/02/21 - 2024/03/09.
[26]
林嘉文、許世明、李逸仙, “編碼器以及影像編碼方法,” 中華民國專利I324,020號, 專利期間：2010/04/21 - .
[27]
林嘉文、凌誌鴻、李國徵, “物件追蹤系統及方法,” 中華民國專利I331,728號, 專利期間：2010/10/21 - .
[28]
沈志聖、林嘉文,
“選擇預測模式之方法及編碼器,” 中華民國專利I344,796號, 專利期間：2011/7/1 - .
[29]
林嘉文、許志仲,
“以樣本為基礎之人臉超解析度方法與系統,” 中華民國專利I419,059號, 專利期間：2013/12/11 - .
[30]
康立威 ，林嘉文、林哲聰 、林昱成, “基於單一影像的影像內雨紋去除方法與裝置,” 中華民國專利I480,810號, 專利期間：2015/04/11 - .