Our Github
Join us NOW!
The end-of-year banquet!
Professor had an interview to introduce our parking lot system.
恭賀ACM Lab連續三年度(106,107,108)榮獲科技部工程司「產學合作計畫成果發表暨績效考評會」"特優獎"
Head Pose project makes demonstration to sponsors
We are at ICIP2019
Professor and our lab member, Chen-Tung, attend ICIP 2019. Behind is poster of our work "DANet: Depth-Aware Network for crowd counting"
Dr. Manh-Hung Nguyen presents at workshop VCAVSS 2019 - Taipei
Dr.Vu-Hoang Tran get the Best Ph.D. thesis Honorable mention in CVGIP 2019 conference.
Professor gave a keynote talk in MAPR 2019 "From Supervised Learning to Transfer Learning: Applications and Theory".
"Semi-supervised and Multi-task Learning for On-street Parking Space Status Inference" got Best Paper Award at MAPR Conference 2019.
Projects
j
New Publications
Wei-Jie Hung, Egor Poliakov and Ching-Chun Huang, "Efficient Constraint-Aware Neural Architecture Search for Object Detection", 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Cong-Ty Dang, Vu-Hoang Tran, Ngoc-Hoang-Lam Le and Ching-Chun Huang, "From Synthetic to Real: Enhancing Deep Learning Models with Generative Adversarial Networks for Efficient Data Utilization in Automatic Retail Stores", 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Ngoc-Quan Ha-Phan, Thanh-Nguyen Truong, Vu-Hoang Tran and Ching-Chun Huang, "A Reliable Feature-Based Framework for Vehicle Tracking in Advanced Driver Assistance Systems", 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Nguyen, Manh-Hung; Chao, Tzu-Yin; Hsiao, Ching-Chun; Li, Yung-Hui; Huang, Ching-Chun, "Self-Supervise Reinforcement Learning Method for Vacant Parking Space Detection based on Task Consistency and Corrupted Rewards", IEEE Transactions on Intelligent Transportation Systems, 2023.
Hsin-Ju Lin, Tsu-Chun Chung, Ching-chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang, "MENTOR: Multilingual tExt detectioN TOward leaRning by analogy", 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Jaw, Da-Wei and Huang, Shih-Chia and Lin, I-Chuan and Zhang, Cheng and Huang, Ching-Chun and Kuo, Sy-Yen, "RodNet: An Advanced Multi-Domain Object Detection Approach using Feature Transformation with Generative Adversarial Networks", IEEE Sensors Journal.
Wing Ho Tang, Hsuan Yuan, Tzu-Hao Chiang, Ching-Chun Huang, "ZERO-LEINR: ZERO-Reference LOW-Light Image Enhancement with Intrinsic Noise Reduction", 2023 IEEE International Symposium on Circuits & Systems (ISCAS).
Sin-Han Huang, Tzu-Yin Chao, Beatrice Adelaide Wibisono, Mark Po-Hung Lin and Ching-Chun Huang, "SSIOE: Self-Supervised Indoor Occupancy Estimation for Intelligent Building Management", IEEE Transactions on Automation Science and Engineering, May 2023.
Chang, Ming-Jen; Cheng, Chih-Jen; Hsiao, Ching-Chun; Li, Yung-Hui; Huang, Ching-Chun, "SVDnet: Singular Value Control and Distance Alignment Network for 3D Object Detection", IEEE Transactions on Intelligent Transportation Systems,2023.
Chien-Heng Yu, Ching-Chun Huang, "Incremental Map Modeling for Lightweight SLAM via Deep Reinforcement Learning", 2023 IEEE International Conference on Consumer Electronics (ICCE) .
Yu-Ming Hu, Jia-Jin Xie, Hong-Han Shuai, Ching-Chun Huang, I-Fan Chou, Wen-Huang Cheng, "Dynamic Feature Fusion for Visual Object Detection and Segmentation", 2023 IEEE International Conference on Consumer Electronics (ICCE) .
Ching-Hung Chen, Jing-Wen Chen, Ching-Chun Huang, "Disentanglement-Based Multi-Vehicle Detection and Tracking for Gate-Free Parking Lot Management", 2023 IEEE International Conference on Consumer Electronics (ICCE) .
Van-Tin Luu, Vu-Hoang Tran, Egor Poliakov, Ching-Chun Huang, "D2D: Divide to Detect, A Scale-Aware Framework for On-Road Object Detection Using IR Camera", 2023 IEEE International Conference on Consumer Electronics (ICCE) .
Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu, "Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis", NeurIPS 2022.
Ming-Jen Chang, Chih-Jen Cheng, Ching-Chun Hsiao, I-Fan Chou, Ching-Chun Huang, "Distance-dependent Feature Alignment and Selection for Imbalance 3D Point Cloud Object Detection", IEEE International Conference on Advanced Video and Signal-Based Surveillance(2022AVSS).
Chia-Wei Kuo, Yi-Ting Tsai, Hong-Han Shuai, Yi-Ren Yeh, Ching-Chun Huang, "Towards Understanding Cross Resolution Feature Matching for Surveillance Face Recognition", ACM International Conference on Multimedia (ACM MM 2022).
Tso Yuan Chen, Ching Chun Hsiao and Ching-Chun Huang, "Density-imbalance-eased LiDAR Point Cloud Upsampling via Feature Consistency Learning", in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2022.3162672, March,2022.
Ting-Wei Chang, Wei-Chen Chiu, Ching-Chun Huan, "Find the way back: Invertible kernel estimator for blind image super resolution", 2022 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2022.
Egor Poliakov, Van-Tin Luu, Vu-Hoang Tran, Ching-Chun Huang, "Model compression via structural pruning and feature distillation for accurate multi-spectral object detection on edge-devices", 2022 IEEE International Conference on Multimedia & Expo (ICME), 2022.