RESEARCH CENTER FOR IT INNOVATION, ACADEMIA SINICA
After spending 8 wonderful years at the Research Center for IT Innovation (CITI), Academia Sinica, Dr. Wang will join the Dept. EE of National Taiwan University, starting Aug. 1st, 2017. In addition to well-motivated PhD/MS/undergraduate students, we will also be looking for postdoc researchers and research assistants to continue our exciting projects on computer vision and machine learning. Candidates with strong academic backgrounds and research experiences are encouraged to apply.
Congratulations to Wei-Yu Chen and our collaborators at NTHU, our paper "No More Discrimination: Cross City Adaptation of Road Scene Segmenters" is accepted for the IEEE International Conference on Computer Vision (ICCV) 2017!
Congratulations to Shih-Yen Tao and our collaborators Yao-Hung Tsai (CMU MLD PhD student) and Dr. Yi-Ren Yeh (NKNU), our paper "Semantics-Preserving Locality Embedding for Zero-Shot Learning" is accepted for the British Machine Vision Conference (BMVC) 2017!
For the coming Fall semester, we are glad to announce that MML members receive PhD admissions from MIT EECS, CMU MLD, UC Berkeley EECS, UT Austin CS, and Georgia Tech EE, and MS admissions from CMU MSCV, CMU LTI, UIUC CS, Cornell CS, USC CS, UW Madison CS, and Northwestern EECS. Congratulations to all the students/RAs of MML. Thank you for the continuing hard work, and wish you all very best of luck in your future studies!
Congratulations to Hao-Wei Lee (now at Univ. Toronto), Wei-Jen Ko, Jheng-Ying Yu, Te-Li Wang, and Kuan-Yun Lee, whose papers are accepted for the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). We also congratulate undergraduate students, Yu-An Chen (NTU EE), Wei-Che Che (NTU EE), and Dr. Chia-Po Wei, whose paper Occlusion-Aware Face Inpainting via Generative Adversarial Networks is accepted for the IEEE International Conference on Image Processing (IEEE ICIP 2017).
Congratulations to Chih-Kuan Yeh, Wei-Chieh Wu, and Wei-Jen Ko, whose paper "Learning Deep Latent Spaces for Multi-Label Classification" is accepted for the 31st AAAI Conference on Artificial Intelligence (AAAI-17) 2017.