| 2024 | ACCV | UNet-: Memory-Efficient and Feature-Enhanced Network Architecture Based on U-Net with Reduced Skip-Connections. | Lingxiao Yin, Wei Tao, Dongyue Zhao, Tadayuki Ito, Kinya Osa, Masami Kato, Tse-Wei Chen |
| 2024 | CVPR | Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation. | Tse-Wei Chen, Wei Tao, Dongyue Zhao, Kazuhiro Mima, Tadayuki Ito, Kinya Osa, Masami Kato |
| 2024 | CVPR | Lightweight Maize Disease Detection through Post-Training Quantization with Similarity Preservation. | Carlos Victorino Padeiro, Tse-Wei Chen, Takahiro Komamizu, Ichiro Ide |
| 2021 | CVPR | CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications. | Tse-Wei Chen, Deyu Wang, Wei Tao, Dongchao Wen, Lingxiao Yin, Tadayuki Ito, Kinya Osa, Masami Kato |
| 2020 | ACCV | Fully Supervised and Guided Distillation for One-Stage Detectors. | Deyu Wang, Dongchao Wen, Junjie Liu, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato |
| 2020 | CVPR | BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. | Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato |
| 2020 | ECCV | Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions. | Tse-Wei Chen, Wei Tao, Deyu Wang, Dongchao Wen, Kinya Osa, Masami Kato |
| 2020 | ECCV | QuantNet: Learning to Quantize by Learning Within Fully Differentiable Framework. | Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato |
| 2019 | CVPR | Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps. | Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato |
| 2019 | CVPR | DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection. | Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato |
| 2019 | CVPR | Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. | Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato |
| 2018 | CVPR | IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision. | Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato |
| 2010 | ICIP | Edge-adaptive image segmentation based on seam processing and K-Means clustering. | Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi Chien |
| 2009 | ICASSP | Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing. | Tse-Wei Chen, Shao-Yi Chien |
| 2008 | ISCAS | Architectural analyses of K-Means silicon intellectual property for image segmentation. | Tse-Wei Chen, Chih-Hao Sun, Jun-Ying Bai, Han-Ru Chen, Shao-Yi Chien |
| 2008 | MMSP | Fast image segmentation based on K-Means clustering with histograms in HSV color space. | Tse-Wei Chen, Yi-Ling Chen, Shao-Yi Chien |
| 2007 | ISM | Automatic Feature-Based Face Scoring in Surveillance Systems. | Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien |
| 2007 | MMSP | Efficient Face Detection with Segmentation and Feature-based Face Scoring in Surveillance Systems. | Tse-Wei Chen, Wei-Kai Chan, Shao-Yi Chien |