Dr. Dirk Schnieders
Lecturer
Department of Computer Science, Faculty of Engineering
The University of Hong Kong (HKU)

You can find photos of me here and my contact details are here.

TEACHING

Courses:

• COMP7502 Image Processing & Computer Vision, 2020/21
• CCST9049 From Human Vision to Machine Vision, 2020/21
• COMP3270B Artificial Intelligence, 2020/21
• COMP3314A Machine Learning, 2020/21
• COMP7404A Comp. Intelligence & Machine Learning, 2020/21
• COMP7404C Comp. Intelligence & Machine Learning, 2020/21
• ENGG1330 Computer Programming I, 2020/21
• COMP7502 Image Processing & Computer Vision, 2019/20
• CCST9049 From Human Vision to Machine Vision, 2019/20
• COMP7404A Comp. Intelligence & Machine Learning, 2019/20
• COMP7404D Comp. Intelligence & Machine Learning, 2019/20
• ENGG1330 Computer Programming I, 2019/20
• COMP3270A Artificial Intelligence, 2019/20
• COMP3270B Artificial Intelligence, 2019/20
• COMP7502 Image Processing and Computer Vision, 2018/19
• CCST9049 From Human Vision to Machine Vision, 2018/19
• COMP7404B Computational Intelligence and Machine Learning, 2018/19
• COMP3314 Machine Learning, 2018/19
• COMP3270 Artificial Intelligence, 2018/19
• ENGG1330 Computer Programming I, 2018/19
• COMP7502 Image Processing and Computer Vision, 2017/18
• CCST9049 From Human Vision to Machine Vision, 2017/18
• COMP7404 Computational Intelligence and Machine Learning, 2017/18
• ENGG1202B Introduction to Computer Science, 2017/18
• ENGG1111C&D Computer Programming and Applications, 2017/18
• ENGG1202A Introduction to Computer Science, 2017/18
• COMP7502 Image Processing and Computer Vision, 2016/17
• CCST9049 From Human Vision to Machine Vision, 2016/17
• COMP7404 Computational Intelligence and Machine Learning, 2016/17
• ENGG1202B Introduction to Computer Science, 2016/17
• ENGG1111E&F Computer Programming and Applications, 2016/17
• ENGG1202A Introduction to Computer Science, 2016/17
• COMP7502 Image Processing and Computer Vision, 2015/16
• COMP7404 Computational Intelligence and Machine Learning, 2015/16
• ENGG1202B Introduction to Computer Science, 2015/16
• ENGG1111E&F Computer Programming and Applications, 2015/16
• ENGG1202A Introduction to Computer Science, 2015/16
• COMP7502 Image Processing and Computer Vision, 2014/15
• COMP7404 Computational Intelligence and Machine Learning, 2014/15
• ENGG1111C Computer Programming and Applications, 2014/15
• ENGG1202A Introduction to Computer Science, 2014/15
• COMP7404 Computational Intelligence and Machine Learning, 2013/14
• COMP7502 Image Processing and Computer Vision, 2013/14
• COMP2396B / CSIS0396B Object-oriented Programming and Java, 2013/14
• COMP7502 Image Processing and Computer Vision, 2012/13
• CSIS0317 Computer Vision, 2011/12

Awards:

• Early Career Teaching Award, HKU, 2018
• Outstanding Teaching Award (Individual Award), Faculty of Engineering, HKU, 2018
• Best Teacher Award, Department of Computer Science, HKU, 2017
• Teaching Excellence Award, Department of Computer Science, HKU, 2015
• Teaching Excellence Award, Department of Computer Science, HKU, 2014
• Best Tutor Award, Department of Computer Science, HKU, 200

Grants:

• Development of new assessment methods for Virtual Teaching & Learning, Dean's Fund for T&L and Admission Initiatives (PI), 2021
• Embedding Skills Assessment and Video Feedback into ENGG1330, HKU TDG (PI), 2021 - 2022
• Providing Effective Online T&L Tools to Teachers, Dean's Fund for T&L Initiatives (PI), 2020
• Machine Learning Education Fund, Google, 2020
• An Online T&L Platform for Active Learning in Computer Programming, Dean's Fund for T&L (PI), 2019
• Experiential Learning Fund, HKEAA, 2019

Undergraduate Project Supervision:

• Deep Learning for Diagnosis of Skin Cancer, Guo Hang and Hu Qiyun and Ni Jingwei, 2020/21
• Generating Bokeh with Deep Learning, Liu Shuai, 2020/21
• One Shot Audio to Video Generation, Guo Yuhan, 2020/21
• Online System for Python Programming, Chan Man Tik, 2020/21
• In-Station Delivery Service Safety Monitoring, Baheti Kush and Gupta Pranav and Tiwari Siddharth Dev, 2020/21
• Brain Computer Interface, Lam Chung Hang Matthew and Leung Yu Hin, 2019/20
• Focused Web Crawling, Kapur Shiven and Chadha Vanshaj, 2019/20
• Generating Comics from Natural Language, Wang Yuning and Yang Bowen, 2019/20
• Network Based Intelligent Malware Detection, Jha Piyush and Han David Boli, 2019/20
• Deep Learning Hand Poses, Chen Zihao and Da Yujia and Zhang Yuqian, 2018/19
• StarCraft II with Neuro-Evolution and Reinforcement Learning, Abidin Zain UI and Desmukh Fawad Masood, 2018/19
• Facial Expression Transfer with Machine Learning, Cheng Tak Kin and Choi Wai Yiu, 2018/19
• Guitar Fretboard Mapper and Chord Finder, Miranda Joseph Xavier Vinit and Siddiqui Hamza Sohail, 2018/19
• Auto Navigation Legged Robot, Lo Hon Nam, 2018/19
• 3D Reconstruction with Microsoft Hololens, Zafar Waleed and Gupta Aman, 2017/18
• Autonomous Drifting Car using Machine Learning, Jain Rachit and Kabara Kanak Dipak, 2017/18
• Learning to Play with Deep Learning and Reinforcement Learning, Mak Jeffrey Kelvin, 2017/18
• Mixed Reality for Oculus Rift, Bui Thanh Tung, 2017/18
• Facial Landmark Tracking, Li Wing Yee, 2016/17

Taught Postgraduate Dissertation/Project Supervision:

• A Deep Learning-based Obstacle Detection System for Visually Impaired People, Yam Wing Yiu, 2020/21
• Foveated Rendering with Gaze-predictive Neural Networks, Webb William Albert, 2020/21
• Identifying Quantitative Trait Loci via Multi-task Learning Frame in Cardiovascular Disease, Tian Xinyang, 2020/21
• A Flutter Based Application about Emotion Management, Ma Ke, 2020/21
• Computer Vision for a Robotic Fish, Kwok Pui Si and Sun Hongshuai, 2020/21
• Causality in Machine Learning, Hui Chin Hing, 2020/21
• Deep Learning Approach to Estimating Credit Rating of Companies and Banks, Chung Ching Justin and Ok Tae Jong and Phillips Michael Bartholomew Alan and Zhang Lifen, 2020/21
• The Effect of Verbal Design Cues on Customer Service Chatbots Considering Demographic Variables, Fang Yutong, 2020/21
• Online Depression Detector, Chan Yee Chun, 2020/21
• Stock Selection by Machine Learning in Companies Fundamentals, Pun Kar Kiu Jose, 2019/20
• Optimization of Scheduling in Industries via Deep Reinforcement Learning, Li Longkang, 2019/20
• Detecting and Strategy of Handling Short Squeeze using Machine Learning, Wong Chi Ho, 2019/20
• Quantifying Football Betting Sentiment using Machine Learning, Leung Hui Homn, 2019/20
• Generative Adversarial Network Application, Ho Kai Lok, 2019/20
• Conditional Image Editing based on GAN, Yang Yuguang, 2019/20
• Facial Expression Image-to-image Conversion based on GAN, Cai Jiancheng and Chen Zirong and Liu Haiqing, 2019/20
• Using GANs to Achieve Text-to-image Synthesis, Zhou Boyu and Chen Hong and Peng Yuling and Weng Jiaqi, 2019/20
• Prediction of Capability of Repaying Loans, Wen Qi, 2019/20
• Prediction of Capability of Repaying Loans, Chow Ka Wing, 2019/20
• Learning to Play with Deep Learning and Reinforcement Learning, Liu Zhongyuan, 2018/19
• Learning to Play with Deep Learning and Reinforcement Learning, Xu Yaozhong, 2018/19
• Learning to Predicting Racing Results, Luo Min, 2018/19
• Learning to Predicting Racing Results, Wu Qiwen, 2018/19
• Learning to Predicting Racing Results, Ho Kai Hong, 2018/19
• Colorization of Gray-scale Image, Yu Bingjing, 2018/19
• Translating Sign Language to Text, Ping Yuhan, 2018/19
• Realistic Augmented Reality, Lu Leo Tian Lun, 2018/19
• To Play and Cooperate in Imperfect Information Game with Reinforcement Learning, Ng Argens, 2018/19
• Learning to Predicting Racing Results, Tian Dan, 2018/19
• Example-based Makeup Transfer, Liu Ying, 2017/18
• Plane Detection in SLAM, Chen Yixin, 2017/18
• 3D Reconstruction using Deep Neural Network, Wang Chu, 2017/18
• Image Style Transfer for Portraits, Yin Yue, 2017/18
• Image Super-resolution using Generative Adversarial Networks, Luo Jiaxi, 2017/18
• Posture Control of a Falling Robot, Xu Peng, 2017/18
• Robot Locomotion Based on Reinforcement Learning, Jiang Wenhao, 2017/18
• Learning to Read Financial Charts, Li Mingkang, 2017/18
• SSVEP Based Brain Computer Interface, Mohamed Jameel, 2017/18
• Transfer Facial Expression from 2D Video to 3D Avatar, Kwan Tsz Hei, 2017/18
• Learning to Skate, Shi Zhongqi, 2017/18
• Machine Learning for Algorithm Trading, Chen Hiu Pan, 2017/18
• Food Recognition with Deep Convolution Neural Network, Wang Chenlin, 2016/17
• Mixed Virtual Reality Input System, Lu Xiaoyu and Li Xueyu, 2016/17
• Marker-less Realistic Mobile Augmented Reality, Hou Chengcheng, 2016/17
• Interactive Virtual Reality Environment, Gu Erjian, 2016/17
• Use Mobile Device to Assist Autonomous Flight, Wang Liao, 2016/17
• Passing CAPTCHAs with Image Understanding and Machine Learning, He Zishan, 2016/17
• Interactive Virtual Reality Environment, Xu Lingxiao and Lin Zhen, 2016/17
• Image Vectorization, Cheung Shirley, Cheung Shirley, 2016/17
• Wearable Computing System, Aaron Sheshan Ryan, 2016/17
• Camera Estimation and 3D Reconstruction with Mobile Devices, Ho Ka Lok, 2015/16
• Learning to Walk with Reinforcement Learning, Xing Kaihang, 2015/16
• Mobile Augmented Reality, Chen Qiao, 2015/16
• Mobile Augmented Reality, Liang Zhi, 2015/16
• Mobile Augmented Reality, Tian Pengfei, 2015/16
• Realtime Augmented Reality on a Mobile Device, Cong Qiyuan, 2015/16
• 3D by Tracking the Motion of an Observer, Leung Chin Wing, 2015/16
• Camera Estimation from an Image of a Night Sky, Hui Ka Chun, 2015/16
• Matching Facial Composites to Partially Occluded or Disguised Faces, Chen Wen, 2015/16
• Face Feature Detection For Computer Vision, Chen Jing, 2014/15
• Virtual Decoration Based on Augmented Reality, Lin Ji, 2014/15
• Driver Drowsiness Detection using Face Landmarks, Liang Zhou,2014/15
• Driver Drowsiness Detection using Face Landmarks, Lin Zhenyan, 2014/15
• Pose-tolerant Face Identification, Li Conging, 2014/15
• 3D by Tracking the Motion of an Observer, Wang Yunzhe, 2014/15
• Pose-tolerant Face Identification, Zhang Jing, 2014/15
• Face Photo-Sketch Synthesize by Example on a Mobile Device, Xin Yao, 2013/14

RESEARCH

Publications:

• Fixed Viewpoint Mirror Surface Reconstruction Under an Uncalibrated Camera. K. Han, M. Liu, D. Schnieders, K.-Y.K. Wong. Transactions on Image Processing (TIP), 2021
• Mirror Surface Reconstruction under an Uncalibrated Camera. K. Han, K.-Y. K. Wong, D. Schnieders, M. Liu. Computer Vision and Pattern Recognition (CVPR), 2016
• Camera and Light Calibration from Reflections on a Sphere. D. Schnieders, K.-Y. K. Wong. Computer Vision and Image Understanding (CVIU), 2013
• Fast Trajectory Matching Using Small Binary Images. W. Zhuo, D. Schnieders, K.-Y. K. Wong. International Conference on Multimedia Technology (ICMT), Guangzhou, November 2013
• Mode Seeking with an Adaptive Distance Measure. G. Pan, L. Shang, D. Schnieders, K.-Y. K. Wong. European Conference on Computer Vision Workshops (ECCV WS), Florence, October 2012.
• Learning Image-Specific Parameters for Interactive Segmentation. Z. Kuang, D. Schnieders, H. Zhou, K.-Y. K. Wong, Y. Yu and B. Peng. Computer Vision and Pattern Recognition (CVPR), Rhode Island, June 2012.
• Single-View Reconstruction from an Unknown Spherical Mirror. Z. Chen, K.-Y. K. Wong, M. Liu and D. Schnieders. International Conference on Image Processing (ICIP), Brussels, September 2011.
• Light Source Estimation from Spherical Reflections. D. Schnieders. PhD Thesis, University of Hong Kong, March 2011.
• Reconstruction of Display and Eyes from a Single Image. D. Schnieders, X. Fu and K.-Y. K. Wong. Computer Vision and Pattern Recognition (CVPR), San Francisco, June 2010.
• Polygonal Light Source Estimation. D. Schnieders, K.-Y. K. Wong and Z. Dai. Asian Conference on Computer Vision (ACCV), Xi'an, September 2009.
• Recovering Light Directions and Camera Poses from a Single Sphere. K.-Y. K. Wong, D. Schnieders and S. Li. European Conference on Computer Vision (ECCV), Marseille, October 2008.
• Using Illumination Estimated from Silhouettes to Carve Surface Details on Visual Hull. S. Li, K.-Y. K. Wong and D. Schnieders. British Machine Vision Conference (BMVC), Leeds, September 2008.

Grants:

• Diagnosing Fungal Infections By Artificial Intelligence, ITF (Co-I), MRP/026/18, 2019-2022
• Research and Development on Techniques for Automatic Segmentation, Tracking and Reconstruction of Mitral Valve from 4D Echocardiogram, ITF (CO-I), ITS/089/14, 2015-2016
• Photometric Stereo under Near-Light with Attenuation, SPF HKU (PI), 2013-2014
• Tracking and visualizing mitral valve in 3D echocardiography, Seed Funding Programme for Applied Research HKU (CO-I), 2013-2014
• Matching Facial Composites to Partially Occluded or Disguised Faces for Law Enforcement and Crime Investigations, ITF (CO-I), ITS/301/11, 2012-2013
• Object Retrieval, Contract Research (CO-I), 2012
• Video surveillance background modeling, Contract Research (CO-I), 2011-2012
• Polygonal Light Source Estimation, SPF HKU (CO-I), 2010-2012