Y.-H. Chen, Y.-C. Yao, K.-W. Ho, C.-H. Wu, T. Phung Huu, M. Benjak, J. Ostermann, and W.-H. Peng, "HyTIP: Hybrid Temporal Information Propagation for Masked Conditional Residual Video Coding," IEEE International Conference on Computer Vision (ICCV), Oct. 2025.
Z.-L. Gao, T. Phung Huu, Y.-C. Yao, K.-W. Ho, Y.-H. Chen, Y.-H. Lin, A. Gnutti, and W.-H. Peng, "MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding," IEEE International Conference on Computer Vision (ICCV), Oct. 2025.
Y.-H. Chen, K.-W. Ho, M. Benjak, J. Ostermann, and W.-H. Peng, "Conditional Residual Coding with Explicit-Implicit Temporal Buffering for Learned Video Compression," IEEE International Conference on Multimedia & Expo (ICME), July 2025.
Y.-T. Zhan, H.-B. Yang, C.-Y. Ho, J.-C. Chiang, and W.-H. Peng, "CAT-3DGS Pro: A New Benchmark for Efficient 3DGS Compression," European Signal Processing Conference (EUSIPCO), Sep. 2025.
Y.-T. Zhan, C.-Y. Ho, H.-B. Yang, Y.-H. Chen, J.-C. Chiang, Y.-L. Liu, and W.-H. Peng, "CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression," The International Conference on Learning Representations (ICLR), Apr. 2025.
C.-H. Kao, C. Chien, Y.-J. Tseng, Y.-H. Chen, A. Gnutti, S.-Y. Lo, W.-H. Peng, and R. Leonardi, "Bridging Compressed Image Latents and Multimodal Large Language Models," The International Conference on Learning Representations (ICLR), Apr. 2025.
Z.-L. Gao, Y.-C. Yao, K.-W. Ho, Y.-H. Chen, and W.-H. Peng, "MaskCRT-B: Masked Conditional Residual Transformer for Learned B-frame Coding," IEEE International Symposium on Circuits and Systems (ISCAS), May 2025.
R. Conceição, M. Porto, W.-H. Peng, and L. Agostini, "Cross-Platform Neural Video Coding: A Case Study," IEEE International Symposium on Circuits and Systems (ISCAS), May 2025.
Y.-H Chen, H.-S Xie, C.-W. Chen, Z.-L. Gao, M Benjak, W.-H Peng, and J Ostermann, "MaskCRT: Masked conditional residual transformer for learned video compression," IEEE Transactions on Circuits and Systems for Video Technology, 2024
M.-J. Chen, H.-S. Xie, C. Chien, W.-H. Peng, H.-M. Hang, "Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4:2:0 Content," IEEE International Symposium on Circuits and Systems (ISCAS), May. 2023. (Top-creativity Award)
Y.-H. Ho, C.-H. Lin, P.-Y. Chen, M.-J. Chen, C.-P Chang, W.-H. Peng, and H.-M. Hang “Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding,” IEEE International Symposium on Circuits and Systems (ISCAS), 2022. (Top-performance Award)
W. C. Lee, C. P. Chang, W. H. Peng, and H. M. Hang, "A Hybrid-based Layered Image Compressor," IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep. 2020. (Response to JPEG AI Call-for-Evidence on learning-based image compression)
Y.-H. Chen, Y.-C. Weng, W.-H. Peng, and M. Domański, “NYCU-PUT Response to the JPEG AI Call for Proposals,” ISO/IEC JTC1/SC29/WG1 96th meeting, M96054, July, 2022.
J. H. Hu, W. H. Peng, and C. H. Chung, "Reinforcement learning for HEVC/H.265 intra-frame rate control," in Proc. IEEE Int. Symposium on Circuits and Systems (ISCAS), May 2018.
Y.-H Ho, C.-P Chang, P.-Y. Chen, A. Gnutti, and W.-H Peng, “CANF-VC: Conditional Augmented Normalizing Flows for Video Compression,” European Conference on Computer Vision (ECCV), 2022.
Y. H. Ho, C. C. Chan, W. H. Peng, H. M. Hang, M. Domanski, "ANFIC: Image Compression Using Augmented Normalizing Flows," IEEE Open Journal of Circuits and Systems, 2021.
M.-J. Chen, Y.-H. Chen, and W.-H. Peng, "B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows," IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, 2023.
D. Alexandre, H.-M. Hang, and W.-H.Peng, "Hierarchical B-frame Video Compression Using Two-layer CANF without Motion Coding," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2023.
Y.-H. Chen, Y.-C. Weng, C.-H. Kao, C. Chien, W.-C. Chiu, W.-H. Peng, "TransTIC: Transferring Transformer-based Image Compression from Human Visualization to Machine Perception," IEEE International Conference on Computer Vision (ICCV), Oct. 2023.
C.-H. Kao, Y.-C. Weng, Y.-H. Chen, W.-C. Chiu, W.-H. Peng, "Transformer-based Variable-rate Image Compression with Region-of-interest Control," IEEE International Conference on Image Processing (ICIP), Oct. 2023.
Y. H. Ho, C. C. Chan, D. Alexandre, W. H. Peng, C. P. Chang, "P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2020.
C. P. Chang, D. Alexandre, W. H. Peng and H. M. Hang, "Description of Challenge Proposal by NCTU: An Autoencoder-based Image Compressor with Principle Component Analysis and Soft-Bit Rate Estimation," CVPR Workshop and Challenge on Learned Image Compression, June 2019.
D. Alexandre, C. P. Chang, W. H. Peng and H. M. Hang, "An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU", CVPR Workshop and Challenge on Learned Image Compression, June 2018.
L. C. Chen*, J. H. Hu* and W. H. Peng, "Reinforcement Learning for HEVC/H.265 Frame-level Bit allocation," in Proc. IEEE International Conference on Digital Signal Processing (DSP), Dec. 2018.
C. H. Chung, W. H. Peng and J. H. Hu, "HEVC/H.265 coding unit split decision using deep reinforcement learning," in Proc. IEEE Int. Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), Nov. 2017.
H. C. Huang, W. H. Peng, Y. C. Lin, C. N. Wang, T. Chiang, and H. M. Hang, "Response to Cfp on Scalable Video Coding Technology: Proposal S07 -- A Robust Scalable Video Coding Technique," ISO/IEC MPEG 68th meeting, M10724, Munich, Germany, March 2004.
H. C. Huang, W. H. Peng, C. N. Wang, T. Chiang, and H. M. Hang, "Stack Robust Fine Granularity Scalability: Response to Call for Evidence on Scalable Video Coding," ISO/IEC MPEG 65th meeting, M9767, Trondheim, Norway, July 2003.
M. Wien, J. M. Boyce , T. Stockhammer, and W. H. Peng, "Immersive Video Coding Standardization Status," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Mar. 2019.
W.-H. Peng, F. Walls, R. A. Cohen, J. Xu, J. Ostermann, S. MacInnis, and T. Lin, “Overview of screen content video coding: technologies, standards, and beyond,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 6, no. 4, pp. 393 - 408, Dec. 2016
C.-C. Chen and W.-H. Peng, “Intra line copy for HEVC screen content intra-picture prediction,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 7, pp. 1568 - 1579, July 2017
C. C. Chen, T. S. Chang, R. L. Liao, C. W. Kuo, W. H. Peng, H. M. Hang, Y. J. Chang, C. H. Hung, C. C. Lin, J. S. Tu, E. C. Ke, J. Y. Kao, C. L. Lin, F. D. Jou, and F. C. Chen, "Description of screen content coding technology proposal by NCTU and ITRI International," ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 17th meeting, JCTVC-Q0032, Valencia, Spain, March 2014.
C. L. Lee, C. C. Chen, Y. W. Chen, M. H. Wu, C. H. Wu, W. H. Peng, and H. M. Hang, "Bi-prediction Combining Template and Block Motion Compensations," ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 4th meeting, JCTVC-D175, Daegu, Korea, January 2011.
W. H. Peng and C. C. Chen, "An Inter-Frame Prediction Technique Combining Template Matching Prediction and Block Motion Compensation for High Efficiency Video Coding," IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 8, pp. 1432-1446, August 2013.
Y. W. Chen and W. H. Peng, "Parametric OBMC for Pixel-Adaptive Temporal Prediction on Irregular Motion Sampling Grids," IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 1, pp. 113-127, January 2012.
H. C. Huang, W. H. Peng, T. Chiang, and H. M. Hang, "Advances in the Scalable Amendment of H.264/AVC," IEEE Communications Magazine, vol. 45, no. 1, pp. 68-76, January 2007.
W. H. Peng, T. Chiang, H. M. Hang and C. Y. Lee, "A Context Adaptive Bit-plane Coder with Maximum-likelihood-based Stochastic Bit-reshuffling Technique for Scalable Video Coding," IEEE Transactions on Multimedia, vol. 8, no. 4, pp. 654-667, Aug. 2006.
S. H. Wang, W. H. Peng, Y. W. He, G. Y. Lin, C. Y. Lin, S. C. Chang, C. N. Wang and T. Chiang, "A Software-Hardware Co-Implementation of MPEG-4 Advanced Video Coding (AVC) Decoder with Block Level Pipelining," International Journal of VLSI Signal Processing, vol. 41, no. 1, pp. 93-110, Aug. 2005.
S. C. Chang, W. H. Peng, S. H. Wang and T. Chiang, "A Platform based Bus-interleaved Architecture for Deblocking Filter in H.264/MPEG-4 AVC," IEEE Transactions on Consumer Electronics, vol. 51, no.1, pp. 249-255, Feb. 2005.
W. H. Peng and Y. K. Chen, "Enhanced Mode Adaptive Fine Granularity Scalability," International Journal of Imaging Systems and Technology, vol. 13, no. 6, pp. 308-321, Nov. 2003.
H.-C. Hsueh, W.-H. Peng, and C.-C. Huang, "Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models," The International Conference on Learning Representations (ICLR), Apr. 2025.
N. P. Kini, R.-H. Shiue, R. Chandra, W.-H. Peng, C.-W. Ma, and J.-N. Hwang, "TransHuPR: Cross-View Fusion Transformer for Human Pose Estimation Using mmWave Radar," British Machine Vision Conference (BMVC), Nov. 2024.
W. L. Chang*, H. P. Wang*, W. H. Peng and W. C. Chiu, "All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation," IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.
Y. H. Ho, C. Y. Cho, W. H Peng, and G. L. Jin "SME-Net: Sparse Motion Estimation for Parametric Video Prediction through Reinforcement Learning," IEEE International Conference on Computer Vision (ICCV), Oct. 2019.
Y.-H. Chen*, S.-C. Chen*, Y.-H. Chen, Y.-Y. Lin, W.-H. Peng, "MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution," IEEE International Conference on Computer Vision (ICCV), Oct. 2023.
Y. C. Huang, Y. H. Chen, C. Y. Lu, H. P. Wang, W. H. Peng and C. C. Huang, "Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling, " IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.
S. P. Lee, S. C. Chen, W. H. Peng, "GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on Video," IEEE International Conference on Multimedia and Expo (ICME), July 2021.
S. Y. Pan*, C. Y. Lu*, S. P. Lee, W. H. Peng, "Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks," IEEE International Conference on Multimedia and Expo (ICME), July 2021.
C. H. Lei, Y. H. Chen, W. H. Peng, W. C. Chiu, "Class-incremental Learning with Rectified Feature-Graph Preservation," Asian Conference on Computer Vision (ACCV), Japan, Nov. 2020.