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I am a PhD graduate from the Interdisciplinary Graduate School - New Media (IGS-NM) of Nanyang Technological University under the Rapid-Rich Object Search (ROSE) Laboratory supervised by Prof. Yap Peng-Tan and worked closely with Prof. Jiwen Lu. My research interests is in Computer Vision, Machine Learning and Biometrics. Particularly, my research were on face analysis, person re-identification and image/multimedia retrieval using feature learning, deep learning and metric learning techniques.

Now I am Senior Research Scientist for Motional working on machine learning products on road understanding .

2021-Feb: We have an open internship position under our team. E-mail me at venice.liong[@]motional[dot]com if interested.

Experience:

• Motional, Singapore (previously Aptiv Autonomous Mobility / nuTonomy)
• Senior Research Scientist
• Advanced Digital Science Center (ADSC), Singapore
  • Multi-modal Visual Analytics Group
  • Research Engineer
• Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
  • Future Beyond Human Intelligence Laboratory
  • M.S. in Electrical Engineering
• University of the Philippines - Diliman, Quezon City, Philippines
  • Instrumentation, Robotics and Control Laboratory
  • B.S. in Electronics and Communications Engineering

Selected arXiv / Conference Papers:

• Venice Erin Liong, Thi Ngoc Tho Nguyen, Sergi Widjaja, Dhananjai Sharma, and Zhuang Jie Chong. "AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation." arXiv preprint arXiv:2012.04934 (2020).
• Caesar, Holger, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom. nuscenes: A multimodal dataset for autonomous driving. arXiv preprint arXiv:1903.11027, 2019.
• Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou, Cross-Modal Deep Variational Hashing, IEEE International Conference on Computer Vision (ICCV), 2017.
• Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Learning a Cross-Modal Hashing Network for Multimedia Search, IEEE International Conference in Image Processing (ICIP), 2017
• Jiwen Lu, Venice Erin Liong, Jie Zhou, Simultaneous Local Binary Feature Learning and Encoding for Face Recognition, IEEE International Conference on Computer Vision (ICCV), 2015.
• Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou, Deep Hashing for Compact Binary Codes Learning, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
• Venice Erin Liong, Yongxin Ge, Jiwen Lu, Discriminative Regularized Metric Learning for Person Re-Identification, International Conference on Biometrics (ICB), 2015

Selected Journal Papers:

• Lu, Jiwen, Venice Erin Liong, and Yap-Peng Tan. "Adversarial Multi-Label Variational Hashing." IEEE Transactions on Image Processing (T-IP), 2020
• Venice Erin Liong, Jiwen Lu, Ling-Yu Duan, and Yap-Peng Tan, Deep Variational and Structural Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2020.
• Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, Jie Zhou, Simultaneous local binary feature learning and encoding for homogeneous and heterogeneous face recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2017.
• Jiwen Lu, Venice Erin Liong, Jie Zhou, Deep Hashing for Scalable Image Search, IEEE Transactions on Image Processing (T-IP) , 2017.
• Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou, Deep Coupled Metric Learning for Cross-Modal Matching, IEEE Transactions on Multimedia (T-MM), 2017
• Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou, Deep Video Hashing, IEEE Transactions on Multimedia (T-MM) , 2017.
• Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, Jie Zhou, Learning Compact Binary Face Descriptor for Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2015.
• Jiwen Lu, Venice Erin Liong, Jie Zhou, Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation, IEEE Transactions on Image Processing (T-IP), 2015.
• Jiwen Lu, Venice Erin Liong, Gang Wang, Pierre Moulin, Joint Feature Learning for Face Recognition, IEEE Transactions on Information Forensics and Security (T-IFS), 2015.

Invited Reviewer of:

• ECCV
• ICCV
• CVPR
• ICIP
• ACCV
• ICASSP
• Neurocomputing
• Pattern Recognition Letters
• Pattern Recognition
• IEEE Access
• IEEE TSCVT, TIP, TMM