Projects per year
Personal profile
Research Interests
My interests focus on fundamental research topics and real-world applications in computer vision based on a variety of machine learning approaches including kernel methods, energy minimization, probabilistic graphical models, metric learning, transferring learning, and deep learning. Currently, I work on
- Visual object recognition / tracking
- Person re-identification and face recognition for real-world scenarios
- Video understanding in the context of RGB/infrared data
- Medical image processing and understanding
Teaching
- [2018 Fall]: Database and Programming Fundamentals (DSA8002, MSc in Data Analytics)
- [2017 Fall]: Database and Programming Fundamentals (DSA8002, MSc in Data Analytics)
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Neural networks
Engineering & Materials Science
Face recognition
Engineering & Materials Science
Fusion reactions
Engineering & Materials Science
Intelligent computing
Engineering & Materials Science
Recurrent neural networks
Engineering & Materials Science
Medical image processing
Engineering & Materials Science
Computer vision
Engineering & Materials Science
Gait analysis
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2019 2019
- 1 Active
R8454ECI: Deep domain adaptation for general object classification and detection in infra-red
10/04/2019 → …
Project: Research
Research Output 2014 2019
Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images
Wang, S., Hua, Y., Cao, Y., Song, T., Xue, Z., Gong, X., Wang, G., Ma, R. & Guan, H., 24 Jan 2019, The IEEE International Conference on Bioinformatics and Biomedicine: Proceedings. IEEE , p. 532-539 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Ultrasonics
Hemodynamics
Color
Deep learning
GAN-based Pose-aware Regulation for Video-based Person Re-identification
Borgia, A., Hua, Y., Kodirov, E. & Robertson, N. M., 07 Mar 2019, WACV 2019: The IEEE Winter Conference on Applications of Computer Vision: Proceedings. 10 p. (IEEE Winter Conference on Applications of Computer Vision (WACV): Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Gait analysis
Recurrent neural networks
Electric fuses
Fusion reactions
Experiments
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network
Ghosh, S. S., Hua, Y., Mukherjee, S. S. & Robertson, N., 07 Mar 2019, WACV 2019: The IEEE Winter Conference on Applications of Computer Vision. 10 p. (IEEE Winter Conference on Applications of Computer Vision (WACV): Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Image enhancement
Textures
Image resolution
Signal to noise ratio
Pixels
Object Guided External Memory Network for Video Object Detection
Deng, H., Hua, Y., Song, T., Zhang, Z., Xue, Z., Ma, R., Robertson, N. & Guan, H., 20 Jul 2019, (Accepted) International Conference in Computer Vision (ICCV 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Data storage equipment
Object detection
Ranked List Loss for Deep Metric Learning
Wang, X., Hua, Y., Kodirov, E., Hu, G., Garnier, R. & Robertson, N., 25 Feb 2019, (Accepted) IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019): Proceedings. (IEEE/CVF Conference on Computer Vision and Pattern Recognition: Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Semantics
Experiments
Prizes
Joint Winner of PASCAL VOC Challenge Classification Competition 2010
Yang Hua (Recipient), 2010
Prize: Prize (including medals and awards)
Joint Winner of PASCAL VOC Challenge Classification Competition 2011
Yang Hua (Recipient), 2011
Prize: Prize (including medals and awards)
Joint winner of PASCAL VOC Challenge Classification Competition 2012
Yang Hua (Recipient), 2012
Prize: Prize (including medals and awards)
Student grant of European Conference on Computer Vision 2014
Yang Hua (Recipient), 2014
Prize: Prize (including medals and awards)
Winning tracker of VOT-TIR2015 challenge
Yang Hua (Recipient), Karteek Alahari (Recipient) & Cordelia Schmid (Recipient), 2015
Prize: National/international honour
Activities 2017 2019
Shanghai Jiao Tong University
Yang Hua (Visiting researcher)15 Apr 2019 → 03 May 2019
Activity: Visiting an external institution types › Visiting an external academic institution
Yi Tang
Yang Hua (Host)Apr 2019 → Oct 2019
Activity: Hosting a visitor types › Hosting an academic visitor
IEEE Conference on Computer Vision and Pattern Recognition 2019 (Event)
Yang Hua (Peer reviewer)16 Jun 2019 → 20 Jun 2019
Activity: Publication peer-review and editorial work types › Publication peer-review
International Conference on Computer Vision 2019 (Event)
Yang Hua (Peer reviewer)27 Oct 2019 → 03 Nov 2019
Activity: Publication peer-review and editorial work types › Publication peer-review
AAAI Conference on Artificial Intelligence (AAAI-19)
Yang Hua (Participant)27 Jan 2019 → 01 Feb 2019
Activity: Participating in or organising an event types › Participation in conference