1 code implementation • ECCV 2020 • Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu
Vision perception is one of the most important components for a computer or robot to understand the surrounding scene and achieve autonomous applications.
no code implementations • 12 Mar 2024 • Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang
Text detection is frequently used in vision-based mobile robots when they need to interpret texts in their surroundings to perform a given task.
no code implementations • 22 Sep 2023 • Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
While image data starts to enjoy the simple-but-effective self-supervised learning scheme built upon masking and self-reconstruction objective thanks to the introduction of tokenization procedure and vision transformer backbone, convolutional neural networks as another important and widely-adopted architecture for image data, though having contrastive-learning techniques to drive the self-supervised learning, still face the difficulty of leveraging such straightforward and general masking operation to benefit their learning process significantly.
1 code implementation • 12 Sep 2023 • Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
In this work, we propose Prompting4Debugging (P4D) as a debugging and red-teaming tool that automatically finds problematic prompts for diffusion models to test the reliability of a deployed safety mechanism.
no code implementations • 14 Dec 2022 • Tzu-Hao Chiang, Hao-Chien Hsueh, Ching-Chun Hsiao, Ching-Chun Huang
Third, photos with the same content but different exposures may not reach consistent adjustment results.
no code implementations • 8 Apr 2022 • Ting-Wei Cheng, Jerry Chang, Ching-Chun Huang, Chin Kuo, Yun-Chien Cheng
By training the model with both labeled and unlabeled images, the accuracy of unlabeled images can be improved and the labeling cost can be reduced.
no code implementations • 28 Nov 2021 • Yu-Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
Basically, given only a small set of detectors that are learned to recognize some manually annotated attributes (i. e., the seen attributes), we aim to synthesize the detectors of novel attributes in a zero-shot learning manner.
1 code implementation • CVPR 2021 • Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang
Our Long Short-Term Memory Video Rescaling Network (LSTM-VRN) leverages temporal information in the low-resolution video to form an explicit prediction of the missing high-frequency information for upscaling.
no code implementations • 25 Dec 2017 • Hoang Tran Vu, Ching-Chun Huang
In this paper, a better learning network has been proposed by considering three tasks - domain adaptation, disentangled representation, and style transfer simultaneously.