Publication

Conference Papers 

[1] L.-Y. Ke, T.-C. Pu, and C.-H. Hsia*, “Student engagement recognition using a hyena-based vision transformer,” IEEE International Symposium on Intelligent Signal Processing and Communication Systems, Accepted, November 2025. (EI)

[2] Y.-T. Chen, J. Liao, L.-Y. Ke, and C.-H. Hsia*, “Improving waste classification with auxiliary Fourier features and groupMamba networks,” IEEE International Symposium on Intelligent Signal Processing and Communication Systems, Accepted, November 2025. (EI)

[3] L.-Y. Ke, K. Shen, and Chih-Hsien Hsia*, “A spatial Mamba model with kolmogorov-arnold network classifier for facial expression recognition,” IEEE International Symposium on Intelligent Signal Processing and Communication Systems, Accepted, November 2025. (EI)

[4] C.-A. Chen, S. C.-E. Shen, L.-Y. Ke, and C.-H. Hsia*, “A state space-inspired U-net with linear attention for breast tumor segmentation,” IEEE International Conference on Artificial Intelligence for Medicine, Health, and Care, Accepted, October 2025. (EI)

[5] C.-A. Chen, S. K. A. Bosshart, L.-Y. Ke, and C.-H. Hsia*, “A frequency-aware hybrid U-mamba for breast tumor segmentation,” IEEE International Conference on Artificial Intelligence for Medicine, Health, and Care, Accepted, October 2025. (EI)

[6] Y.-C. Chen, L.-K. Lin, and C.-H. Hsia*, “An efficient framework for whole-slide cervical cell image classification,” IEEE International Conference on Artificial Intelligence for Medicine, Health, and Care, Accepted, October 2025. (EI)

[7] H. Prasetyo*, A. W. H. Prayuda, C.-H. Hsia, M. A. F. Rohman, H. M. Akbar, and A. K. Septiano, “Batik image retrieval using siamese networks and locality sensitive hashing,” IEEE International Conference on Artificial Intelligence's Future Implementations, Accepted, August 2025. (EI)

[8] H. Prasetyo*, A. D. Fairux, M. A. F. Rohman, A. A. Mahdy, H. M. Akbar, and C.-H. Hsia, “TGRU-Net: transformer ghost residual U-net for automatic building detection from high-resolution satellite images,” IEEE International Conference on Artificial Intelligence's Future Implementations, Accepted, August 2025. (EI)

[9] A. K. Septiano, H. Prasetyo, M. A. F. Rohman, H. M. Akbar, A. W. H. Prayuda, and C.-H. Hsia*, “CPMA-Net: a lightweight network based on half-Unet with multiscale and attention mechanisms for nuclei segmentation,” IEEE International Seminar on Intelligent Technology and Its Applications, Accepted, June 2025. (EI)

[10] L.-Y. Ke, E. Li, and C.-H. Hsia*, “Lightweight transformer-style ConvNet based on decoupled frequency features for roasted coffee bean recognition,” IEEE International Conference on Consumer Electronics- Taiwan, Accepted, July 2025. (EI)

[11] L.-Y. Ke, P. Lu, and C.-H. Hsia*, “Deep learning-based coffee bean defect detection with cutedge augmentation,” IEEE International Conference on Consumer Electronics- Taiwan, Accepted, July 2025. (EI)

[12] M. A. F. Rohman, H. Prasetyo*, A. D. F. Nadhif, H. M. Akbar, A. W. H. Prayuda, and C.-H. Hsia, “Digital image-based building detection using ghost encoder-decoder,” IEEE International Conference on Electronics Representation and Algorithm, pp. 700-705, July 2025. (EI)

[13] H. M. Akbar, H. Prasetyo*, M. A. F. Rohman, A. K. Septiano, and C.-H. Hsia, “Breast ultrasound image segmentation with multidimensional attention and spatial-channel squeeze-and-excitation block,” IEEE International Conference on Electronics Representation and Algorithm, pp. 712-717, July 2025. (EI)

[14] C.-A. Chen, T.-H. Chien, L.-Y. Ke, and C.-H. Hsia*, “A lightweight vision transformer with competitive blocks for finger vein recognition,” IEEE International Symposium on Computer, Consumer and Control, pp. 1-4, June 2025. (EI) [Best Paper Award]

[15] L.-Y. Ke, C.-S. Wu, and C.-H. Hsia*, “A visual mamba-based Architecture for student engagement recognition in distance learning environments,” IEEE International Symposium on Computer, Consumer and Control, pp. 1-4, June 2025. (EI)

[16] 陳麒安、柯良頴、夏至賢*、陳聖濤, “輕量級視覺變壓器結合競爭模組於指靜脈辨識系統,” 離島資訊技術與應用研討會, pp. 1644-1648, 2025年5月. [Outstanding Paper Award]

[17] 夏至賢、賴慧真、柯良頴*, “圖塊隨機遮罩與深度學習為基礎應用於學生參與度辨識,” 工程、技術與工程科技學術研討會, 2025年5月. [Best Paper Award]

[18] 夏至賢、林哲永*、王政翔、柯良頴、江錦慧, “基於GAN與循環妝容一致性應用於虛擬妝容轉換技術之研究,” 資訊科技應用國際學術研討會, pp. 190-200, 2024年4月. [Best Paper Award]

[19] H. Prasetyo*, M. A. F. Rohman, H. M. Akbar, A. D. A. Firdaus, A. W. H. Prayuda, and C.-H. Hsia, “Improved factorized residual U-net for biomedical polyp segmentation,” IEEE Information Technology International Seminar, pp. 375-380, November 2024. (EI)

[20] L.-Y. Ke, C.-Y. Liao, and C.-H. Hsia*, “Focal vision transformer with partial feature masking for facial expression recognition,” Eurasia Conference on IoT, Communication and Engineering, Accepted, November 2024. [Best Paper Award] 

[21] L.-Y. Ke, P.-F. Lin, and C.-H. Hsia*, “Lightweight vision transformer for efficient coffee bean recognition,” Eurasia Conference on IoT, Communication and Engineering, Accepted, November 2024.

[22] 陳聖濤*、夏至賢、鄭慧娟, “基於倒傳遞神經網路之航空載具故障預測系統之研究,” 國防科技學術研討會, November 2024. [Best Paper Award]

[23] L.-Y. Ke, B. Lau, and C.-H. Hsia*, “Window-based vision transformer for finger-vein recognition,” IET International Conference on Engineering Technologies and Applications, vol. 2024, no. 22, pp. 179-180, October 2024. (EI)

[24] L.-Y. Ke, C.-C. Hsiao, and C.-H. Hsia*, “Progressive latent fusion mapper for hairstyle transfer,” IET International Conference on Engineering Technologies and Applications, vol. 2024, no. 22, pp. 63-64, October 2024. (EI)

[25] S.-Y. Yin, W.-W. Hsu, and C.-H. Hsia*, “Cell segmentation in fluorescence microscopy images,” IET International Conference on Engineering Technologies and Applications, vol. 2024, no. 22, pp. 17-18, October 2024. (EI) [Best Paper Award]

[26] L.-Y. Ke, Y.-H. Wu, and C.-H. Hsia*, “SFANet: spatial-aware feature aggregation network for driver distraction detection,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 507-508, July 2024. (EI)

[27] L.-Y. Ke, J. Liao, and C.-H. Hsia*, “CAFANet: cascade appearance flow assemble network for virtual try-on,” IEEE International Conference on Consumer Electronics- Taiwan,  pp. 505-506, July 2024. (EI)

[28] S.-T. Chen, C.-H. Hsia*, and Y.-C. He, “Classification of distracted driving behaviors based on deep learning and human posture,” International Conference on Intelligent Science and Sustainable Development, July 2024. [Best Paper Award]

[29] J.-H. Jiang, Y.-H. Kao, B.-C. Lai, and C.-H. Hsia*, “A Study on the Application of generative AI for virtual clothing try-on systems,” International Conference on Intelligent Science and Sustainable Development, July 2024.

[30] Y.-M. Hsiao, H.-E. Young, and C.-H. Hsia*, “A study on malicious website detection using deep learning,” International Conference on Intelligent Science and Sustainable Development, July 2024. 

[31] 夏至賢*、柯良頴、江錦慧, “基於風格特徵感知對抗式生成網路應用於虛擬妝容轉換,” 資訊科技應用國際學術研討會, pp. 184-190, 2024年4月. [Best Paper Award] 

[32] H. Prasetyo*, A. A. Mahdy, A. D. F. Nadhif, J.-M. Guo, and C.-H. Hsia, “Channel attention HalfU-Net for skin lesion segmentation,” IEEE International Conference on Advanced Engineering and Technologies, pp. 213-218, October 2023. (EI)

[33] P.-H. Chen, Y.-S. Hung, and C.-H. Hsia*, “Lightweight CNN and image enhancement using in palm vein recognition,” APSIPA Annual Summit and Conference,  pp. 1896-1902, October 2023. (EI)

[34] M.-Y. Wei, Y.-C. Wang, L.-Y. Ke, and C.-H. Hsia*, “Robust finger vein recognition based on lightweight attention convolutional neural networks,” APSIPA Annual Summit and Conference, pp. 1892-1895, October 2023. (EI)

[35] S.-H. Lu, J.-T. Lu, S.-Y. Lin, and C.-H. Hsia*, “Wavelet and cutout in YOLO architecture for road pothole detection,” APSIPA Annual Summit and Conference, pp. 1885-1891, October 2023. (EI)

[36] P.-H. Chen, C. Liu, and C.-H. Hsia*, “Contactless palm-vein recognition for E-commerce,” IET International Conference on Engineering Technologies and Applications,  pp. 150-151, October 2023. (EI)

[37] L.-Y. Ke, W.-L. Lan, H.-Y. Lin, and C.-H. Hsia*, “Spatial-based generative adversarial network for makeup transfer,” IET International Conference on Engineering Technologies and Applications, pp. 148-149, October 2023. (EI)

[38] C.-H. Hsia*, J. Liao, and C.-M. Chen, “Enhancing pedestrian re-identification and tracking system using 3D correlation method,” IEEE Eurasia Conference on IoT, Communication and Engineering, pp. 492-496, October 2023. (EI) [Best Paper Award]

[39] L.-Y. Ke, Y.-S. Pan, and C.-H. Hsia*, “Learning-based collision detection with estimating occluded keypoint for robotic manipulators,” IEEE International Conference on Knowledge Innovation and Invention, pp. 783-785, August 2023. (EI)

[40] L.-Y. Ke, P.-H. Chiang, C.-H. Hsia*, and S.-L. Chen, “Lightweight deep convolution neural network for green coffee bean defects detection,” IEEE International Conference on Knowledge Innovation and Invention, pp. 461-463, August 2023. (EI) [Best Paper Award]

[41] L.-Y. Ke, E. Chen, and C.-H. Hsia*, “Green coffee bean defect detection using shift-invariant features and non-local block,” IEEE International Conference on Knowledge Innovation and Invention, pp. 430-431, August 2023. (EI)

[42] L.-Y. Ke, H.-A. Tung, and C.-H. Hsia*, and S.-Y. Lin, “Finger vein recognition using ResNet with elastic margin loss,” IEEE International Conference on Knowledge Innovation and Invention, pp. 427-429, August 2023. (EI)

[43] H.-T. Chan, Y.-C. Chao, and Chih-Hsien Hsia*, “Deliberate occlusion: asymmetry in facial expression,” IEEE International Conference on Knowledge Innovation and Invention, pp. 338-341, August 2023. (EI)

[44] L.-Y. Ke, H.-Y. Liao, and C.-H. Hsia*, “Deep convolutional neural network using orthogonal projection loss for palm-vein recognition,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 421-422, July 2023. (EI)

[45] H.-T. Chan, J. Yen, and C.-H. Hsia*, “Randaugment with knowledge distillation for finger-vein recognition,” IEEE International Conference on Consumer Electronics- Taiwan,  pp. 415-416, July 2023. (EI)

[46] L.-Y. Ke, S.-Y. Yeh, and C.-H. Hsia*, “Attention-based deep learning model using adaptive margin loss for finger-vein recognition,” IEEE International Conference on Electronic Communications, Internet of Things and Big Data, pp. 144-146, April 2023. (EI)

[47] H.-T. Chan, Y.-W. Chang, and C.-H. Hsia*, “Lightweight attention mechanism via knowledge distillation for vein recognition,” IEEE International Conference on Electronic Communications, Internet of Things and Big Data, pp. 288-291, April 2023. (EI) [Best Paper Award]

[48] H.-T. Chan, P.-T. Tsai, and C.-H. Hsia*, “Multispectral pedestrian detection via two-stream YOLO with complementarity fusion for autonomous driving,” IEEE International Conference on Electronic Communications, Internet of Things and Big Data, pp. 313-316, April 2023. (EI) [Best Paper Award]

[49] 夏至賢*、柯良頴, “改良式輕量化卷積神經網絡之指靜脈辨識系統,” Cyberspace聯合研討會, 2022年11月. [Best Paper Award]

[50] 彭筱竹、林軒麒、詹宏澤、夏至賢*, “以多光譜融合技術為基礎實現全天候行人辨識之研究,”Cyberspace聯合研討會, 2022年11月. [Excellent Paper Award]

[51] C.-H. Hsia*, B. Chiang, L.-Y. Ke, Z.-Y. Ciou, and C.-F. Lai, “Student engagement analysis using facial expression in online course,” IET International Conference on Engineering Technologies and Applications, pp. 1-2, October 2022. (EI)

[52] H.-T. Chan, V. Chen, and C.-H. Hsia*, “Occluded retail products detection through attention-reweighted,” IET International Conference on Engineering Technologies and Applications, pp. 1-2, October 2022. (EI)

[53] C.-H. Hsia*, H.-J. Wang, and Z.-H. Yang, “Study of contactless finger-vein identification system,” IEEE International Conference on Knowledge Innovation and Invention, pp. 201-204, July 2022. (EI) [Best Paper Award]

[54] P.-H. Lee, A. W.-Y. Wang, and C.-H. Hsia*, “Music emotion analysis based on deep learning techniques for streaming platforms,” IEEE International Conference on Knowledge Innovation and Invention, pp. 160-163, July 2022. (EI)

[55] C.-H. Lo, H.-T. Chan, and C.-H. Hsia*, “Part-double-head model for smart retail products detection,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 409-410, July 2022. (EI)

[56] P.-H. Chen, S.-Y. Jhong, and C.-H. Hsia*, “Semi-supervised learning with attention-based CNN for classification of coffee beans defect,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 411-412, July 2022. (EI)

[57] P.-H. Lee and C.-H. Hsia*, “Improved multi-reference makeup transfer with localized attention mechanism,” SPIE International Workshop on Advanced Image Technology, vol. 12177, pp. W-1-W-4, January 2022. (EI)

[58] H.-T. Chan, T.-Y. Lin, S.-C. Deng, C.-H. Hsia*, and C.-F. Lai, “Smart facial skincare products using computer vision technologies,” APSIPA Annual Summit and Conference, pp. 1674-1677, December 2021. (EI)

[59] S.-Y. Jhong, P.-Y. Yang, and C.-H. Hsia*, “An attention based expert inspection system for smart scalp,” APSIPA Annual Summit and Conference, pp. 1678-1681, December 2021. (EI)

[60] C.-H. Hsia*, T.-H. W. Chang, C.-Y. Chiang, and H.-T. Chan, “Real-time retail product detection with new augmentation features,” IEEE International Conference on Electronic Communications, Internet of Things and Big Data, pp. 221-223, December 2021. (EI) [Best Paper Award]

[61] M. Kuo, H.-T. Chan, and C.-H. Hsia*, “Study on mask R-CNN with data augmentation for retail product detection,” IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp. 1-2, November 2021. (EI)

[62] J. Yeh, H.-T. Chan, and C.-H. Hsia*, “ResNeXt with cutout for finger vein analysis,” IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp. 1-2, November 2021. (EI)

[63] I-S. Wang, H.-T. Chan, and C.-H. Hsia*, “Finger-vein recognition using a NASNet with a cutout,” IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp. 1-2, November 2021. (EI)

[64] P.-Y. Yang, S.-Y. Jhong, and C.-H. Hsia*, “Green coffee beans classification using attention-based features and knowledge transfer,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 1-2, September 2021. (EI)

[65] Y.-C. Chen, Z.-C. Che, and C.-H. Hsia*, “Music mood classification system for streaming platform analysis via deep learning based feature extraction,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 1-2, September 2021. (EI)

[66] 夏至賢*、陳稟翰、鍾昕燁, “輕量化卷積神經網路於非接觸式多光譜掌靜脈辨識系統,” Cyberspace聯合研討會, 2020年11月. [Best Paper Award]

[67] J.-M. Guo, C.-H. Hsia*, C.-S. Wu, and L.-Y. Chang, “Efficient finger vein technology based on fast binary robust independent elementary feature combined with multi-image quality assessment verification,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 1-2, September 2020. (EI) [Best Paper Award]

[68] H. Prasetyo, C.-H. Hsia*, C. Yu, and A. R. Wirawan, “Friendly appearance of multiple secret sharing,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 1-2, September 2020. (EI)

[69] S.-Y. Jhong, P.-Y. Tseng, N. Siriphockpirom, C.-H. Hsia, M.-S. Huang, K.-L. Hua, Y.-Y. Chen*, “An automated biometic identification system using CNN-based palm vein recognition,” IEEE International Conference on Advanced Robotics and Intelligent Systems, pp. 1-6, August 2020. (EI) [Best Paper Award]

[70] L.-W. Hsiao, J.-M. Guo, G.-L. Huang, Y.-F. Hsieh, C.-H. Hsia*, and Herleeyandi Markoni, “Face expression and tone of voice for deception system,” IEEE International Conference on System Science and Engineering, August 2020. (EI) [Best Student Paper Award]

[71] Q. Sun, S.-Y. Jhong, C.-H. Hsia*, and C. Yu, “Online social media interaction and offline protest movement: patterns in 2019 Hong Kong,” IEEE Indo-Taiwan Conference on Computing, Analytics and Networks, pp. 254-259, February 2020. (EI)

[72] J.-M. Guo, C.-C. Yang, Z.-H. Wang, C.-H. Hsia, and L.-Y. Chang*, “Atrial fibrillation detection in spectrogram based on convolution neural networks,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, December 2019. (EI)

[73] 夏至賢*、賴槿峰, “嵌入式指靜脈影像辨識之研究,”民生電子研討會, 2019年11月. [Best Paper Award]

[74] H. Prasetyo* and C.-H. Hsia, “Friendly and progressive visual secret sharing with lossless reconstruction,” IEEE International Conference on Science in Information Technology, October 2019. (EI)

[75] H. Prasetyo* and C.-H. Hsia, “Improved progressive secret sharing with priority weight,” IEEE International Symposium on Electronics and Smart Devices, October 2019. (EI)

[76] 夏至賢*、鍾昕燁, “利用輕量化卷積神經網路於多光譜掌靜脈辨識系統,” Cyberspace聯合研討會, 2019年10月. [Best Paper Award]

[77] J.-M. Guo, L.-Y. Chang, H.-H. Lee*, and C.-H. Hsia, “DDSnet: a deep document segmentation with hybrid blocks architecture network,” IPPR Conference on Computer Vision, Graphics, and Image Processing, August 2019. [Excellent Paper Award]

[78] H. Prasetyo and C.-H. Hsia*, “Improved progressive secret sharing with priority weight,” IEEE International Conference on Consumer Electronics- Taiwan, May 2019. (EI)

[79] H. Zeng, Z. Zeng*, J. Chen, C. Cai, C.-H. Hsia, and K.-K. Ma, “A novel DCT-based just noticeable difference model via block energy,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 210-214, November 2018. (EI)

[80] 夏至賢*、鍾昕燁、劉晉華、陳稟翰, “高效能指靜脈身份辨識系統,” Cyberspace聯合研討會, 2018年11月. [Best Paper Award]

[81] 周誠翔、楊耀東、周紹文、賴秋琳、夏至賢*, “VR行動學習與團隊合作學習融入數學領域,” 臺灣網際網路研討會, 2018年10月. [Best Oral Presentation Award]

[82] Y.-H. Lin, C.-H. Hsia, B.-Y. Chen, and Y.-Y. Chen*, “AMBTC-based data hiding using intra- and inter-block embedding strategy,” IARIA International Conference on Communications, Computation, Network and Technologies, pp. 18-20, October 2018. [Best Paper Award]

[83] Y.-Y. Chen, C.-H. Hsia*, Y.-C. Tsai, and K.-Y. Chi, “Halftone based data hiding method using orientation modulation strategy,” IEEE International Cognitive Cities Conference, pp. 192-194, August 2018. (EI)

[84] H. Prasetyo and C.-H. Hsia*, “Secret sharing with chaotic-based bit permutation,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 229-230, May 2018. (EI)

[85] H. Prasetyo and C.-H. Hsia*, “Blind image denoising using low rank matrix minimization,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 231-232, May 2018. (EI)

[86] C.-H. Hsia*, “Depth image-based rendering with adaptive compensation method,” International Conference on Computational Intelligence Theory, Systems and Applications, December 2017. (EI) [Best Paper Award]

[87] J.-S. Chiang, C.-H. Hsia*, H.-Y. Tu, H. T. H. Giang, and T.-Y. Lin, “Adaptive image enhancement method for document,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 417-420, November 2017. (EI)

[88] H.-W. Tseng*, Y.-H. Lee, Y.-L. Chen, and C.-H. Hsia, “Analysis between ECG and respiratory signal,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 408-412, November 2017. (EI)

[89] C.-H. Hsia, J.-H. Yang, and J.-S. Chiang*, “Low-complexity Tetrotlet transform for ultrasound imaging enhancement,” International Conference on Frontier Computing, pp. 537-546, July 2017. (EI) [Best Paper Award]

[90] C.-H. Hsia*, Y. Kong, Y.-K. Lin, and Y.-R. Chien, “Real-time vision system for nighttime vehicle detection,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 305-306, June 2017. (EI)

[91] 夏至賢*、楊家豪、江正雄, “低複雜度Tetrolet轉換於超音波影像增強系統,” 離島資訊技術與應用研討會, pp. 365-371, 2017年5月. [Best Paper Award]

[92] K.-Y. Chou, C.-S. Lin, C.-H. Chien, J.-S. Chiang*, and C.-H. Hsia, “Using statistical parametric contour and threshold segmentation technology applied in X-ray bone images,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 286-290, October 2016. (EI)

[93] J.-L. Syu, H.-T. Li, J.-S. Chiang, C.-H. Hsia*, P.-H. Wu, and C.-F. Hsieh, “An assisted forklift pallet detection with adaptive structure feature algorithm for automated storage and retrieval systems,” IET International Conference on Frontier Computing, pp. 223-232, July 2016. (EI)

[94] C.-H. Hsia*, C.-C. Chang, and W.-C. Chen, “An efficient VLSI architecture for color space conversion processor,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 314-315, May 2016.(EI)

[95] C.-H. Hsia*, J.-H. Yang, and W. Wang, “An efficient VLSI architecture for discrete wavelet transform,” APSIPA Annual Summit and Conference, pp. 684-687, December 2015. (EI)

[96] J.-S. Chiang, C.-H. Hsia*, H.-T. Li, C.-S. Lin, K.-Y. Chou, P.-H. Wu, and C.-H. Lin, “3D endoscopic imaging systems with DIBR,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 44-47, November 2015. (EI)

[97] C.-H. Hsia*, H. T. H. Giang, and H.-Y. Tu, “Document image enhancement using adaptive directional lifting-based wavelet transform,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 432-433, June 2015. (EI)

[98] C.-H. Hsia, C.-H. Chien, H.-W. Hsu, and J.-S. Chiang*, “Analyses of basketball player field goal shooting postures for player motion correction using Kinect sensor,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 222-225, December 2014. (EI)

[99] C.-H. Chien, C.-H. Hsia*, J.-S. Chiang, and C.-Y. Lin, “A new illumination variant face detection,” National Symposium on Systems Science and Engineering, pp. 476-480, June 2014. [Student Excellent Paper Award]

[100] C.-H. Chen, C.-Y. Chen, C.-H. Hsia*, and G.-X. Wu, “Big data collection gateway for vision-based smart meter reading network,” IEEE International Congress on Big Data, pp. 266-269, May 2014. (EI)

[101] K.-C. Hu, F.-Y. Lin, C.-C. Chien, T.-S. Tsia, C.-H. Hsia*, and J.-S. Chiang, “Panoramic image stitching system for automotive application,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 203-204, May 2014. (EI)

[102] C.-W. Liu, S.-E. Li, J.-L. Syu, H.-T. Li, W.-H. Cheng, C.-H. Hsia*, and J.-S. Chiang, “DIBR with content-adaptive filtering for 3D view,” IEEE International Conference on Consumer Electronics- Taiwan, pp. 245-246, May 2014. (EI)

[103] M.-Y. Wang, C. Weng, and C.-H. Hsia*, “Cooperative learning in robotics education: an extra curriculum lesson for engaging college students in programming,” International Symposium on Education, Psychology, Society and Tourism, March 2014.

[104] C.-H. Hsia, J.-S. Chiang*, C.-F. Hsieh, and L.-C. Hu, “A complexity reduction method for video synopsis system,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 163-168, November 2013. (EI)

[105] C.-H. Hsia*, W.-H. Cheng, H.-T. Li, and J.-S. Chiang, “Spatial domain complexity reduction method for depth image based rendering using wavelet transform,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 263-268, November 2013. (EI)

[106] J.-M. Guo, C.-H. Hsia*, Y.-F. Liu, M.-H. Shih, C.-H. Chang, and J.-Y. Wu, “Fast background subtraction based on a multi-layer codebook model,” IPPR Conference on Computer Vision, Graphics, and Image Processing, August 2013. [Excellent Paper Award]

[107]  C.-H. Hsia, J.-S. Chiang*, Y.-J. Dai, and T.-A. Lin, “Conditional-sorting local binary pattern based on gait energy image for human identification,” International Conference on Image Processing, Computer Vision, and Pattern Recognition, vol. 1, pp. 153-158, July 2013. (EI)

[108] J.-S. Chiang, H.-T. Li, C.-H. Hsia*, P.-H. Wu, and C.-F. Hsieh, “High density QR code with multi-view scheme,” IEEE International Symposium on Consumer Electronics, pp. 49-50, June 2013. (EI)

[109] C.-H. Hsia*, J.-S. Chiang, and S.-H. Chang, “An efficient VLSI architecture for 2-D dual-mode SMDWT,” IEEE International Conference on Networking, Sensing and Control, pp. 775-779, April 2013. (EI)

[110] J.-S. Chiang, C.-H. Hsia*, H.-W. Peng, C.-H. Lien, and H.-T. Li, “Saturation adjustment method based on human vision with YCbCr color model characteristics and luminance changes,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 136-141, November 2012. (EI)

[111] Y.-F. Liu, J.-M. Guo, C.-H. Chang, and C.-H. Hsia*, “Hierarchical pedestrian detection under low resolution scenario,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 80-84, November 2012. (EI)

[112] J.-M. Guo, C.-H. Hsia*, M.-H. Shih, Y.-F. Liu, and J.-Y. Wu, “High speed multi-layer background subtraction,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 74-79, November 2012. (EI)

[113] C.-H. Hsia and J.-M. Guo*, “Improved directional lifting-based discrete wavelet transform for low resolution moving object detection,” IEEE International Conference on Image Processing, pp. 2457-2460, September 2012. (EI)

[114] J.-M. Guo*, Y.-F. Liu, and C.-H. Hsia, “Multiple license plates recognition system,” IEEE International Conference on System Science and Engineering, pp. 120-125, June 2012. (EI)

[115] C.-H. Hsia*, T.-C. Wu, J.-S. Chiang, and Chi-Fang Hsieh, “VLSI architecture design of moving objects detection using adaptive least-mean-square scheme,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, December 2011. (EI)

[116] J.-S. Chiang*, C.-H. Hsia, H.-W. Hsu, and C.-I Li, “Stereo vision-based self-localization system for RoboCup,” IEEE International Conference on Fuzzy Systems, pp. 2763-2770, June 2011. (EI)

[117] C.-H. Hsia*, Y.-P. Yeh, T.-C. Wu, J.-S. Chiang, and Y.-J. Liou, “Low resolution method using adaptive LMS scheme for moving objects detection and tracking,” IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp. 129-132, December 2010. (EI)

[118] J.-S. Chiang*, C.-H. Hsia, S.-H. Chang, W.-H. Chang, H.-W. Hsu, Y.-J. Dai, C.-Y. Li, and M.-H. Ho, “An efficient object recognition and self-Localization system for humanoid soccer robot,” SICE Annual Conference, pp. 2269-2278, August 2010. (EI)

[119] W.-H. Chang, C.-H. Hsia, Y.-C. Tai, and J.-S. Chiang*, “An efficient object recognition system for humanoid robot vision,” IEEE Joint Conference on Pervasive Computing, pp. 209-214, December 2009. (EI)

[120] S.-H. Chang, W.-H. Chang, C.-H. Hsia, F. Ye, and J.-S. Chiang*, “Efficient neural network approach of self-localization for humanoid robot,” IEEE Joint Conference on Pervasive Computing, pp. 149-154, December 2009. (EI)

[121] S.-H. Chang, H.-W. Hsu, C.-H. Hsia, and J.-S. Chiang*, “Adaptive vision-based self-localization system for humanoid robot of RoboCup,” CACS International Automatic Control Conference, November 2009. (EI)

[122] C.-H. Hsia*, D.-W. Huang, J.-S. Chiang, and T.-C. Wu, “Moving objects tracking using symmetric mask-8based scheme,” IEEE International Conference on Information Assurance and Security, vol. 1, no. 6, pp. 173-176, August 2009. (EI)

[123] W.-M. Li, C.-H. Hsia*, and J.-S. Chiang, “Memory-efficient architecture of 2-D dual-mode lifting scheme discrete wavelet transform for Motion-JPEG2000,” IEEE International Symposium on Circuits and Systems, pp. 750-753, May 2009. (EI)

[124] C.-H. Hsia*, J.-M. Guo, J.-S. Chiang, and C.-H. Lin, “A novel fast algorithm based on SMDWT for image applications,” IEEE International Symposium on Circuits and Systems, pp. 762-765, May 2009. (EI)

[122] S.-H. Chang, C.-H. Hsia, W.-H. Chang, and J.-S. Chiang*, “A feature-based visual self-localization algorithm for humanoid soccer robot system,” CACS International Automatic Control Conference, November 2008. (EI)

[125] C.-H. Hsia* and J.-S. Chiang, “New memory-efficient hardware architecture of 2-D dual-mode lifting-based discrete wavelet transform for JPEG2000,” IEEE International Conference on Communication Systems, pp. 766-772, November 2008. (EI)

[126] J.-S. Chiang*, C.-Y. Chang, C.-H. Hsia, and W.-H. Chang, “A new video object segmentation algorithm using the morphological technique,” IEEE International Conference on Ubi-Media Computing, pp. 255-260, July 2008. (EI)

[127] J.-S. Chiang*, T.-H. Hwang, T.-T. Lin, and C.-H. Hsia, “High efficiency architecture of ESCOT with pass concurrent context modeling scheme for scalable video coding,” IEEE International Symposium on Circuits and Systems, pp. 2801-2804, May 2008. (EI)

[128] C.-H. Hsia, J.-M. Guo*, and J.-S. Chiang, “Complexity reduction and fast algorithm for 2-D integer discrete wavelet transform using symmetric mask-based scheme,” IEEE International Symposium on Multimedia, pp. 57-64, December 2007. (EI)

[129] C.-H. Hsia*, J.-S. Chiang, Y.-H. Wang, and T.-Y. Teng, “Fast intra prediction mode decision algorithm for H.264/AVC video coding standard,” IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, vol. 2, pp. 535-538, November 2007. (EI)

[130] J.-S. Chiang*, C.-H. Hsia, and H.-J. Chen, “2-D discrete wavelet transform with efficient parallel scheme,” International Conference on Imaging Science, Systems, and Technology, pp. 193-197, June 2005.

[131] J.-S. Chiang, C.-H. Hsia*, H.-J. Chen, and T.-J. Lo, “VLSI architecture of low memory and high speed 2-D lifting-based discrete wavelet transform for JPEG2000 applications,” IEEE International Symposium on Circuits and Systems, pp. 4554-4557, May 2005. (EI)

[132] J.-S. Chiang and C.-H. Hsia*, “An efficient VLSI architecture for 2-D DWT using lifting scheme,” IEEE International Conference on Systems and Signals, pp. 528-531, April 2005.

[133] J.-S. Chiang*, C.-H. Chang, Y.-S. Lin, C.-Y. Hsien, and C.-H. Hsia, “High-speed EBCOT with dual context-modeling coding architecture for JPEG2000,” IEEE International Symposium on Circuits and Systems, vol. 3, pp. 865-868, May 2004. (EI)