Publications

[1]

J. Yan et al., "FENP : A Database of Neonatal Facial Expression for Pain Analysis," IEEE Transactions on Affective Computing, vol. 14, no. 1, pp. 245-254, 2023.

[2]

T. Hupkes and A. Hedman, "Shifting towards non-anthropocentrism : In dialogue with speculative design futures," Futures : The journal of policy, planning and futures studies, vol. 140, 2022.

[3]

A. Hedman, "The Psychosocial Reality of Digital Travel : Being in Virtual Places," CyberPsychology, Behavior and Social Networking, vol. 25, no. 5, pp. 323-325, 2022.

[4]

Z. Lv et al., "An anaglyph 2D-3D stereoscopic video visualization approach," Multimedia tools and applications, vol. 79, no. 1-2, pp. 825-838, 2020.

[5]

H. Li and W. Shao, "Blind image deblurring:an overview from variational approaches to deep representation models and beyond," Journal of Nanjing University of Posts and Telecommunications, vol. 40, no. 5, pp. 84-94, 2020.

[6]

W.-Z. Shao et al., "DeblurGAN plus : Revisiting blind motion deblurring using conditional adversarial networks," Signal Processing, vol. 168, 2020.

[7]

W.-Z. Shao et al., "Gradient-based discriminative modeling for blind image deblurring," Neurocomputing, vol. 413, pp. 305-327, 2020.

[8]

B. Yang et al., "Non-invasive (non-contact) measurements of human thermal physiology signals and thermal comfort/discomfort poses -A review," Energy and Buildings, vol. 224, 2020.

[9]

Y. Qian et al., "Sparse-View CT Reconstruction Based on Improved Re-Sidual Network," in Computational and Experimental Simulations in Engineering : Proceedings of ICCES2019, : Springer, 2020, pp. 1069-1080.

[10]

J. Qian et al., "Vision-Based Contactless Pose Estimation for Human Thermal Discomfort," Atmosphere, vol. 11, no. 4, 2020.

[11]

X. Cheng et al., "A Contactless Measuring Method of Skin Temperature based on the Skin Sensitivity Index and Deep Learning," Applied Sciences, vol. 9, no. 7, 2019.

[12]

H. Zhao et al., "A simple and robust deep convolutional approach to blind image denoising," in Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, 2019, pp. 3943-3951.

[13]

S. Xie, H. Xu and H. Li, "Artifact Removal Using GAN Network for Limited-Angle CT Reconstruction," in 2019 9th International Conference on Image Processing Theory, Tools and Applications, IPTA 2019, 2019.

[14]

W.-Z. Shao, B.-K. Bao and H. Li, "Enhancing Blurred Low-Resolution Images via Exploring the Potentials of Learning-Based Super-Resolution," International journal of pattern recognition and artificial intelligence, vol. 33, no. 7, 2019.

[15]

H. Åhman and A. Hedman, "Frameworks for Studying Social Media Interaction : A Discussion on Phenomenology and Poststructuralism," in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) : LNCS, volume 11748, 2019, pp. 701-718.

[16]

G. Lu et al., "Multi-modal emotion feature fusion method based on genetic algorithm," Journal of Nanjing University of Posts and Telecommunications, vol. 39, no. 5, pp. 41-47, 2019.

[17]

X. Cheng et al., "NIDL : A pilot study of contactless measurement of skin temperature for intelligent building," Energy and Buildings, vol. 198, pp. 340-352, 2019.

[18]

S. Xie et al., "Non-Blind Image Deblurring Method by the Total Variation Deep Network," IEEE Access, vol. 7, pp. 37536-37544, 2019.

[19]

W.-Z. Shao et al., "Nonparametric Blind Super-Resolution Using Adaptive Heavy-Tailed Priors," Journal of Mathematical Imaging and Vision, vol. 61, no. 6, pp. 885-917, 2019.

[20]

W.-Z. Shao et al., "On potentials of regularized Wasserstein generative adversarial networks for realistic hallucination of tiny faces," Neurocomputing, vol. 364, pp. 1-15, 2019.

[21]

B. Yang et al., "Real-time and contactless measurements of thermal discomfort based on human poses for energy efficient control of buildings," Building and Environment, vol. 162, 2019.

[22]

D. Pargman et al., "The future of computing and wisdom : Insights from Human-Computer Interaction," Futures : The journal of policy, planning and futures studies, vol. 113, 2019.

[23]

X. Cheng et al., "A Total Bounded Variation Approach to Low Visibility Estimation on Expressways," Sensors, vol. 18, no. 2, 2018.

[24]

X. Cheng et al., "A variational approach to atmospheric visibility estimation in the weather of fog and haze," Sustainable cities and society, vol. 39, pp. 215-224, 2018.

[25]

M. S. L. Khan et al., "Action Augmented Real Virtuality : A Design for Presence," IEEE Transactions on Cognitive and Developmental Systems, vol. 10, no. 4, pp. 961-972, 2018.

[26]

J. Yan et al., "Bimodal emotion recognition based on facial expression and speech," Journal of Nanjing University of Posts and Telecommunications, vol. 38, no. 1, pp. 60-65, 2018.

[27]

W. Shao et al., "Blind deblurring using discriminative image smoothing," in 1st Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, 2018, pp. 490-500.

[28]

S. Xie et al., "Scatter Artifacts Removal Usings Using Learning-Based Method for CBCT in IGRT System," IEEE Access, vol. 6, pp. 78031-78037, 2018.

[29]

G. Lu et al., "Speech emotion recognition based on long short-term memory and convolutional neural networks," Journal of Nanjing University of Posts and Telecommunications, vol. 38, no. 5, pp. 63-69, 2018.

[30]

A. Wennberg, H. Ahman and A. Hedman, "The Intuitive in HCI : A Critical Discourse Analysis," in NORDICHI'18 : PROCEEDINGS OF THE 10TH NORDIC CONFERENCE ON HUMAN-COMPUTER INTERACTION, 2018, pp. 505-514.

[31]

X. Cheng et al., "A pilot study of online non-invasive measuring technology based on video magnification to determine skin temperature," Building and Environment, vol. 121, pp. 1-10, 2017.

[32]

B. Zhu, A. Hedman and H. Li, "Designing Digital Mindfulness : Presence-In and Presence-With versus Presence-Through," in PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17), 2017, pp. 2685-2695.

[33]

B. Zhu et al., "Designing, Prototyping and Evaluating Digital Mindfulness Applications : A Case Study of Mindful Breathing for Stress Reduction," Journal of Medical Internet Research, vol. 19, no. 6, 2017.

[34]

J. Chen et al., "FishBuddy : Promoting Student Engagement in Self-Paced Learning through Wearable Sensing," in 2017 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP), 2017, pp. 211-219.

[35]

Y. Zhong, A. Hedman and H. Li, "How good can a face identifier be without learning?," in 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016, 2017, pp. 515-533.

[36]

G. Lu et al., "Micro-expression recognition based on LBP-TOP features," Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science), vol. 37, no. 6, pp. 1-7, 2017.

[37]

M. S. L. Khan et al., "Moveable facial features in a social mediator," in 17th International Conference on Intelligent Virtual Agents, IVA 2017, 2017, pp. 205-208.

[38]

Q. Ge et al., "Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal," IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3098-3112, 2017.

[39]

A. Halawani and H. Li, "100 lines of code for shape-based object localization," Pattern Recognition, vol. 60, pp. 458-472, 2016.

[40]

Q. Ge et al., "Active contour evolved by joint probability classification on Riemannian manifold," Signal, Image and Video Processing, vol. 10, no. 7, pp. 1257-1264, 2016.

[41]

G. Lu et al., "Convolutional neural network for facial expression recognition," Journal of Nanjing University of Posts and Telecommunications, vol. 36, no. 1, pp. 16-22, 2016.

[42]

B. Zhu, A. Hedman and H. Li, "Design digital mindfulness for personal wellbeing," in Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016, 2016, pp. 626-627.

[43]

B. Li, H. Li and U. Söderström, "Distinctive curves features," Electronics Letters, vol. 52, no. 3, pp. 197-U83, 2016.

[44]

Y. Zhong, J. Sullivan and H. Li, "Face Attribute Prediction Using Off-The-Shelf CNN Features," in 2016 International Conference on Biometrics, ICB 2016, 2016.

[45]

M. S. L. Khan et al., "Face-off : A face reconstruction technique for virtual reality (VR) scenarios," in 14th European Conference on Computer Vision, ECCV 2016, 2016, pp. 490-503.

[46]

M. S. L. Khan, H. Li and S. U. Rehman, "Gaze perception and awareness in smart devices," International journal of human-computer studies, vol. 92-93, pp. 55-65, 2016.

[47]

H. Li and A. Hedman, "Harnessing Crowds to Avert or Mitigate Acts Terrorism : A Collective Intelligence Call for Action," in 2016 EUROPEAN INTELLIGENCE AND SECURITY INFORMATICS CONFERENCE (EISIC), 2016, pp. 203-203.

[48]

Y. Zhong, A. Hedman and H. Li, "How Good Can a Face Identifier Be Without Learning," Lecture Notes in Computer Science, 2016.

[49]

Y. Zhong and H. Li, "Leveraging Gabor Phase for Face Identification in Controlled Scenarios," in Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016, pp. 49-58.

[50]

Y. Zhong, J. Sullivan and H. Li, "Leveraging Mid-level Deep Representations for Prediction Face Attributes in the Wild," in 2016 IEEE International Conference on Image Processing (ICIP), 2016.

Full list in the KTH publications portal