Compacting, picking and growing for unforgetting continual learning CY Hung, CH Tu, CE Wu, CH Chen, YM Chan, CS Chen Advances in neural information processing systems 32, 2019 | 336 | 2019 |
On the importance and applicability of pre-training for federated learning HY Chen, CH Tu, Z Li, HW Shen, WL Chao arXiv preprint arXiv:2206.11488, 2022 | 73 | 2022 |
Visual query tuning: Towards effective usage of intermediate representations for parameter and memory efficient transfer learning CH Tu, Z Mai, WL Chao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
Idennet: Identity-aware facial action unit detection CH Tu, CY Yang, JY Hsu 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 31 | 2019 |
Pruning depthwise separable convolutions for mobilenet compression CH Tu, JH Lee, YM Chan, CS Chen 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 26 | 2020 |
Extending conditional convolution structures for enhancing multitasking continual learning CH Tu, CE Wu, CS Chen 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 12 | 2020 |
Adaptive labeling for deep learning to hash HF Yang, CH Tu, CS Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 10 | 2019 |
Defect detection using deep lifelong learning CH Chen, CH Tu, JD Li, CS Chen 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-6, 2021 | 7 | 2021 |
Learning binary hash codes based on adaptable label representations HF Yang, CH Tu, CS Chen IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6961-6975, 2021 | 7 | 2021 |
Learning fractals by gradient descent CH Tu, HY Chen, D Carlyn, WL Chao Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2456-2464, 2023 | 5 | 2023 |
SemanticHash: Hash coding via semantics-guided label prototype learning CH Tu, HF Yang, SM Yang, MC Yeh, CS Chen IEEE Transactions on Artificial Intelligence 2 (1), 42-57, 2021 | 5 | 2021 |
Holistic transfer: Towards non-disruptive fine-tuning with partial target data CH Tu, HY Chen, Z Mai, J Zhong, V Pahuja, T Berger-Wolf, S Gao, ... Advances in Neural Information Processing Systems 36, 29149-29173, 2023 | 3 | 2023 |
Pruning Depthwise Separable Convolutions for Extra Efficiency Gain of Lightweight Models CH Tu, JH Lee, YM Chan, CS Chen | 3 | 2019 |
Bringing back the context: Camera trap species identification as link prediction on multimodal knowledge graphs V Pahuja, W Luo, Y Gu, CH Tu, HY Chen, T Berger-Wolf, C Stewart, ... arXiv preprint arXiv:2401.00608, 2023 | 2 | 2023 |
Adaptive labeling for hash code learning via neural networks HF Yang, CH Tu, CS Chen 2019 IEEE International Conference on Image Processing (ICIP), 2244-2248, 2019 | 2 | 2019 |
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition Z Mai, P Zhang, CH Tu, HY Chen, L Zhang, WL Chao arXiv preprint arXiv:2409.16434, 2024 | 1 | 2024 |
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs V Pahuja, W Luo, Y Gu, CH Tu, HY Chen, T Berger-Wolf, C Stewart, ... Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
Fine-Tuning is Fine, if Calibrated Z Mai, A Chowdhury, P Zhang, CH Tu, HY Chen, V Pahuja, T Berger-Wolf, ... arXiv preprint arXiv:2409.16223, 2024 | | 2024 |
Supervised Representation Hash Codes Learning HF Yang, CH Tu, CS Chen New Trends in Computer Technologies and Applications: 23rd International …, 2019 | | 2019 |
Equivalent Scanning Network of Unpadded CNNs HF Yang, TY Chen, CH Tu, CS Chen IEEE Signal Processing Letters 25 (10), 1590-1594, 2018 | | 2018 |