Dr Hantao Liu
Lecturer
Yr Ysgol Cyfrifiadureg a Gwybodeg
- LiuH35@caerdydd.ac.uk
- +44 29208 76557
- Abacws, Ystafell C/1.07, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
- Ar gael fel goruchwyliwr ôl-raddedig
Trosolwyg
NEWYDDION:
Model AI Top a ddatblygwyd ar gyfer rhagweld rheiddiaduron 'Gaze yn darllen Mammogram
Penodiad anrhydeddus y GIG (2022-)
Grant (PI): "Omnidirectional Video Quality Assessment", a ariennir gan y Gymdeithas Frenhinol (2023-)
Grant (PI): "Cyfrifiadura Gweledol Dynol-Ganolog ac Amrywiaeth ar gyfer Systemau Symudedd Deallus", a ariennir gan y Gymdeithas Frenhinol (2022-)
Penodwyd Dr Liu yn Olygydd Cyswllt (2022-) ar gyfer Trafodion IEEE ar Gylchedau a Systemau ar gyfer Technoleg Fideo, cyfnodolyn IEEE mawreddog sy'n ymroddedig i dechnoleg fideo
Penodwyd Dr Liu yn Olygydd Cyswllt (2021-) ar gyfer IEEE Signal Processing Letters, cyfnodolyn IEEE mawreddog sy'n ymroddedig i brosesu signalau
Mae ein Partneriaeth gyda'r GIG - Breast Test Wales, Ysbyty Athrofaol Cymru, ac Ysbyty Great Ormond Street - wedi arwain at ddatblygiadau ym maes deallusrwydd artiffisial a delweddu diagnostig. Model AI Top a ddatblygwyd ar gyfer "Predicting Radiolegwyr' Gaze in Mammogram Reading", a gyhoeddwyd mewn cyfnodolyn IEEE mawreddog.
Model AI Top a ddatblygwyd ar gyfer Rhagfynegiad Saliency Gweledol - Gall ein TranSalNet (rhagfynegiad halltedd gweledol gan ddefnyddio trawsnewidyddion) ragweld yn llwyddiannus ble mae pobl yn edrych mewn golygfeydd naturiol.
Mae'r cod ar gael yn rhad ac am ddim i'r cyhoedd a gellir ei lawrlwytho yma
Ein Cronfa Ddata Ansawdd Delwedd Prifysgol Caerdydd (CUID) a Scene Categori sy'n ymwybodol o Ddelwedd Model Ansawdd (SCIQ) a gyhoeddwyd mewn cyfnodolyn IEEE mawreddog.
Grantiau cyfredol dethol:
Prosiect: Prosiect A05 Delwedd / Asesiad Ansawdd Fideo
Canolfan Ymchwil Cydweithredol, SFB-TRR 161 Dulliau Meintiol ar gyfer Cyfrifiadura Gweledol
Ariannwyd gan Deutsche Forschungsgemeinschaft (DFG, Sefydliad Ymchwil Almaeneg)
Gwerth: € 8.34 miliwn (gwerth Prosiect A05: € 490,588)
Hyd: Gorffennaf 2019 - Mehefin 2023
Partneriaid: Prifysgol Konstanz (Arweinydd)
Prosiect: Brechu COVID-19 ar gyfer Namibiaid Bregus
Mae ymwrthedd brechu COVID-19 mawr yn Namibia, yn enwedig ymhlith grwpiau agored i niwed ac anghysbell. Bydd partneriaid y Weinyddiaeth Iechyd a phrifysgolion yn cyd-gynhyrchu ymgyrchoedd ymwybyddiaeth hybu iechyd ar gyfer y Namibiaid mwyaf difreintiedig ac yna'n cyflwyno'r rhaglen frechu ei hun, gan drawsnewid degau o filoedd o fywydau.
Ariannwyd gan Lywodraeth Cymru
Gwerth: £125,000
Partneriaid: Prosiect Phoenix, Llywodraeth Cymru
Prosiect: Cefnogi anghenion cleifion Zambian sydd â HIV yn ystod pandemig COVID-19
Yn Zambia mae cleientiaid sy'n derbyn gwrth-retrovirals yn cael eu monitro'n rheolaidd ac felly buddiolwyr hygyrch o frechiad COVID-19. Bydd y prosiect hwn yn darparu gwell gofal COVID-19 ar gyfer cleientiaid HIV-positif, gydag ymyriadau mewn dwy dalaith: hyrwyddo iechyd iaith frodorol; canolfannau oergell brechlyn a chadwyn oer; Hyfforddiant brechu i weithwyr gofal iechyd sy'n rhoi clinigau gwrth-retrofiraol a chlinigau COVID-hir.
Ariannwyd gan Lywodraeth Cymru
Gwerth: £183,000
Partneriaid: Mamau Affrica, Prosiect Phoenix, Llywodraeth Cymru
Prosiect: Mae COVID-19 yn real: Sicrhau bod gwybodaeth iechyd hanfodol ar gael i bawb
Bydd y prosiect hwn yn galluogi darparu gwybodaeth iechyd hanfodol i gymunedau a newid ymddygiad drwy: Deall canfyddiadau derbynwyr; Cynhyrchu negeseuon gweledol wedi'u teilwra; Ymgysylltu â chymunedau.
Ariannwyd gan Lywodraeth Cymru
Gwerth: £6,950
Partneriaid: Mamau Affrica, Llywodraeth Cymru
Bywgraffiad
Rwy'n Gyfarwyddwr Rhyngwladol ar gyfer yr Ysgol Cyfrifiadureg a Gwybodeg, Prifysgol Caerdydd. Rwy'n aelod o Uwch Dîm Rheoli yr Ysgol ac yn gyfrifol am ddatblygu, arwain a chyflwyno'r Strategaeth Ryngwladol ar gyfer yr Ysgol.
Fi yw Arweinydd y Grŵp Ymchwil Cyfrifiadura Amlgyfrwng, Prifysgol Caerdydd.
Rwy'n Gadeirydd Pwyllgor Rhyngwladol y Ganolfan Deallusrwydd Artiffisial, Roboteg a Systemau Peiriant Dynol (IROHMS), Prifysgol Caerdydd.
Rwy'n Gyd-gadeirydd AI Dynol-ganolog ar gyfer gweithgor delweddu meddygol IROHMS, Prifysgol Caerdydd.
Rwy'n Ddarlithydd mewn Cyfrifiadureg. Graddiais o Brifysgol Caeredin, y Deyrnas Unedig, ac yna gweithiais yn yr Adran Systemau Deallus ym Mhrifysgol Technoleg Delft (TU Delft), Yr Iseldiroedd ar gyfer fy PhD ar Ddeallusrwydd Rhyngweithiol. Cyllidwyd fy ymchwil PhD gan Philips Research Laboratories. Rwy'n un o sylfaenwyr y Delft Image Quality Lab. Ers 2006, rwyf wedi bod yn gweithio'n agos gyda diwydiant i ddatblygu technolegau delwedd a fideo y genhedlaeth nesaf. Arweiniais brosiect a ariannwyd gan Philips Research Laboratories a ddatblygodd algorithmau newydd ar gyfer asesu ansawdd y cyfryngau gweledol; a phrosiect a ariannwyd gan Philips Healthcare a oedd yn mynd i'r afael â nifer o faterion yn ymwneud ag ansawdd delwedd feddygol.
Mae fy niddordebau ymchwil yn gorwedd ar groesffordd Prosesu Delwedd a Fideo, AI / Machine Learning, Computer Vision, Applied Perception, Multimedia Computing, a Rhyngweithio Dynol-Dechnoleg.
Arweinyddiaeth academaidd
Cadeirydd – Pwyllgor Technegol Cyfathrebu Amlgyfrwng IEEE, Grŵp Diddordeb ar Ansawdd Profiad ar gyfer Cyfathrebu Amlgyfrwng
Aelod o Goleg Cyswllt EPSRC – Coleg Adolygu Cymheiriaid EPSRC
Aelod o'r Pwyllgor – Society for Information Display (SID), Pennod y Deyrnas Unedig ac Iwerddon
Golygydd Cyswllt – Trafodion IEEE ar Amlgyfrwng (2017-2021)
Golygydd Cyswllt – Trafodion IEEE ar Systemau Dynol-Peiriant (2015-2021)
Golygydd Cyswllt – Prosesu Signal: Cyfathrebu Delwedd (Elsevier) (2014-presennol)
Golygydd Cyswllt – Niwrogyfrifiadura (Elsevier) (2012-2018)
Golygydd Cyswllt – Prosesu Signal, Delwedd a Fideo (Springer) (2012-2017)
Cadeirydd y Gynhadledd – Cynhadledd Ryngwladol IEEE ar Amlgyfrwng ac Expo (ICME) 2020 Cynhadledd Gweledigaeth Peiriant Prydain I 2019 Cynhadledd Ryngwladol IEEE ar Ansawdd Profiad Amlgyfrwng 2021
Cadeirydd Ardal (Pwyllgor Rhaglen Dechnegol) – Cynhadledd Ryngwladol IEEE ar Amlgyfrwng ac Expo (ICME), 2015-2017
Aelod (Pwyllgor Rhaglen Dechnegol) – Cynhadledd Ryngwladol IEEE ar Ansawdd Profiad Amlgyfrwng (QoMEX), 2012-2019
Projectau
Canolfan Ymchwil Cydweithredol, SFB-TRR 161 Dulliau Meintiol ar gyfer Cyfrifiadura Gweledol, a ariennir gan Deutsche Forschungsgemeinschaft (DFG, Sefydliad Ymchwil Almaeneg), Gorffennaf 2019 - Mehefin 2023, Gwerth: EUR 8.34 miliwn
Co-I: Dr Hantao Liu (PI: Yr Athro Dietmar Saupe, Prifysgol Konstanz)
Prosiect A05 | Asesiad Ansawdd Llun/Fideo: O gronfeydd data prawf i fetrigau deinamig sy'n ymwybodol o debygrwydd ac yn ganfyddiadol
Mae'r prosiect yn mynd i'r afael â dulliau ar gyfer asesu ansawdd gweledol awtomataidd a'u dilysu y tu hwnt i sgoriau barn cymedrig. Rydym yn cynnig gwella'r dulliau trwy gynnwys ymwybyddiaeth debygrwydd a dilyniannau symud llygaid a ragwelir, meintioli'r profiad gwylio canfyddiadol, a chymhwyso'r metrigau ar gyfer prosesu cyfryngau sy'n ymwybodol o ansawdd. Ar ben hynny, byddwn yn sefydlu a chymhwyso cronfeydd data cyfryngau sy'n amrywiol o ran cynnwys ac yn ddilys yn yr ystumiadau, yn wahanol i setiau data gwyddonol cyfredol.
Ymwybyddiaeth Ansawdd Fideo Amlwg drwy Asesiad Ansawdd ar Lefel Llwyfan (a ariennir gan y Gymdeithas Frenhinol)
PI: Dr Hantao Liu
Nod y prosiect yw datblygu technoleg i wneud unrhyw gamera fideo yn ymwybodol o'i ansawdd gweledol yn awtomatig. Mewn llawer o sefyllfaoedd, mae delweddau/fideos lluosog o'r un olygfa yn cael eu dal; Er enghraifft, fideos o'r un lleoliad a gymerwyd ar wahanol adegau, o wahanol safbwyntiau, gan ddefnyddio camerâu gwahanol, neu hyd yn oed ddefnyddio'r un camera gyda gwahanol leoliadau. Er mwyn gwerthuso, monitro a gwneud y gorau o berfformiad y system, mae angen sgorio / cymharu delweddau o'r un olygfa o ran ansawdd gweledol.
Modelau Cyfrifiadurol ar gyfer Asesu Ansawdd Delwedd Ddiagnostig (wedi'i ariannu gan EPSRC/GCRF)
PI: Dr Hantao Liu
Nod y prosiect yw datblygu modelau cyfrifiadurol a all ragweld perfformiad tasg y radiolegydd yn awtomatig ac yn ddibynadwy wrth ddehongli delweddau meddygol (ee, canfod llaeth). Bydd y modelau hyn yn cael eu defnyddio naill ai i gefnogi'r dynol i ychwanegu at effeithlonrwydd diagnostig, neu i hyfforddi'r dynol tuag at well cywirdeb diagnostig.
Modelu Ymatebion Ymddygiadol Dynol i Ystumiadau ar gyfer Asesu Ansawdd Gweledol (a ariennir gan y Gymdeithas Frenhinol)
PI: Dr Hantao Liu
Asesiad ansawdd gweledol awtomatig yw'r allwedd ar gyfer optimeiddio systemau caffael delweddau / fideo, trosglwyddo, prosesu ac arddangos. Nod yr ymchwil yw deall a modelu yn well sut mae'r system weledol ddynol (HVS) yn canfod ystumiadau mewn signalau gweledol, a datblygu algorithmau ar gyfer asesu ansawdd gweledol gwrthrychol.
Asesiad Ansawdd Delwedd Feddygol: Ansawdd Canfyddedig a Pherfformiad Diagnostig (wedi'i ariannu gan Brifysgol Caerdydd – KU Leuven)
PI: Dr Hantao Liu
Nod y prosiect yw deall sut mae'r gwahaniaethau mesuredig mewn ansawdd delwedd yn effeithio ar berfformiad diagnostig, a datblygu modelau cyfrifiadurol sy'n ymgorffori gwybodaeth am sut mae radiolegwyr yn deall delweddau meddygol. Bydd y modelau hyn yn cael eu defnyddio fel offer gwerthfawr wrth optimeiddio systemau meddygol a gweithdrefnau clinigol yn y dyfodol.
Cyhoeddiad
2023
- Liao, Y., Liu, H. and Spasic, I. 2023. Deep learning approaches to automatic radiology report generation: A systematic review. Informatics in Medicine Unlocked, article number: 101273. (10.1016/j.imu.2023.101273)
- Fang, Y., Li, Z., Yan, J., Sui, X. and Liu, H. 2023. Study of spatio-temporal modeling in video quality assessment. IEEE Transactions on Image Processing (10.1109/TIP.2023.3272480)
- Wang, H., Tu, Y., Liu, X., Tan, H. and Liu, H. 2023. Deep ordinal regression framework for no-reference image quality assessment. IEEE Signal Processing Letters 30, pp. 428 - 432. (10.1109/LSP.2023.3265569)
- Kang, Y., Jiang, Q., Li, C., Ren, W., Liu, H. and Wang, P. 2023. A perception-aware decomposition and fusion framework for underwater image enhancement. IEEE Transactions on Circuits and Systems for Video Technology 33(3), pp. 988-1002. (10.1109/TCSVT.2022.3208100)
- Lou, J. et al. 2023. Predicting radiologists' gaze with computational saliency models in mammogram reading. IEEE Transactions on Multimedia, pp. 1-14. (10.1109/TMM.2023.3263553)
- Lv, X., Xiang, T., Yang, Y. and Liu, H. 2023. Blind dehazed image quality assessment: a deep CNN-based approach. IEEE Transactions on Multimedia (10.1109/TMM.2023.3252267)
- Yang, Y., Xiang, T., Guo, S., Lv, X., Liu, H. and Liao, X. 2023. EHNQ: Subjective and objective quality evaluation of enhanced night-time images. IEEE Transactions on Circuits and Systems for Video Technology (10.1109/TCSVT.2023.3245625)
- Zhou, W., Yue, G., Zhang, R., Qin, Y. and Liu, H. 2023. Reduced-reference quality assessment of point clouds via content-oriented saliency projection. IEEE Signal Processing Letters 30, pp. 354-358. (10.1109/LSP.2023.3264105)
- Colombo, G., Whitaker, R. and Liu, H. 2023. Exploring human models of innovation for generative AI. Presented at: ICCC'23 14th International Conference on Computational Creativity, Waterloo, Ontarion Canada, 19-23 June 2023.
2022
- Song, T., Li, L., Chen, P., Liu, H. and Qian, J. 2022. Blind image quality assessment for authentic distortions by intermediary enhancement and iterative training. IEEE Transactions on Circuits and Systems for Video Technology 32(11), pp. 7592-7604. (10.1109/TCSVT.2022.3179744)
- Guo, N., Gu, K., Qiao, J. and Liu, H. 2022. Active vision for deep visual learning: a unified pooling framework. IEEE Transactions on Industrial Informatics 18(10), pp. 6610-6618. (10.1109/TII.2021.3129813)
- Guan, X., Li, F., Huang, Z. and Liu, H. 2022. Study of subjective and objective quality assessment of night-time videos. IEEE Transactions on Circuits and Systems for Video Technology 32(10), pp. 6627-6641. (10.1109/TCSVT.2022.3177518)
- Wu, X., Dong, Z., Zhang, F., Rosin, P. and Liu, H. 2022. Analysis of video quality induced spatio-temporal saliency shifts. Presented at: 29th IEEE International Conference on Image Processing (IEEE ICIP), Bordeaux, France, 16-19 October 20222022 IEEE International Conference on Image Processing (ICIP).
- Xiang, T., Liu, H., Guo, S., Liu, H. and Zhang, T. 2022. Text's armor: optimized local adversarial perturbation against scene text editing attacks. Presented at: Proceedings of the 30th ACM International Conference on Multimedia (MM ’22), 10-14 October 2022Proceedings of the 30th ACM International Conference on Multimedia (MM ’22). New York: Association for Computing Machinery pp. 2777-2785., (10.1145/3503161.3548103)
- Yue, G., Cheng, D., Li, L., Zhou, T., Liu, H. and Wang, T. 2022. Semi-supervised authentically distorted image quality assessment with consistency-preserving dual-branch convolutional neural network. IEEE Transactions on Multimedia (10.1109/TMM.2022.3209889)
- Yue, G., Cheng, D., Li, L., Zhou, T., Liu, H. and Wang, T. 2022. Semi-supervised authentically distorted image quality assessment with consistency-preserving dual-branch convolutional neural network. IEEE Transactions on Multimedia (10.1109/TMM.2022.3209889)
- Lou, J., Lin, H., Marshall, D., Saupe, D. and Liu, H. 2022. TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing 495, pp. 455-467. (10.1016/j.neucom.2022.04.080)
- Dong, Z., Wu, X., Zhao, X., Zhang, F. and Liu, H. 2022. Identifying pitfalls in the evaluation of saliency models for videos. Presented at: IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Nafplio, Greece, 26-29 June 2022Proceedings of IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). IEEE, (10.1109/IVMSP54334.2022.9816306)
- Guo, P., Liu, H., Zeng, D., Xiang, T., Li, L. and Gu, K. 2022. An underwater image quality assessment metric. IEEE Transactions on Multimedia (10.1109/TMM.2022.3187212)
- Shelmerdine, S. C., White, R. D., Liu, H., Arthurs, O. J. and Sebire, N. J. 2022. Artificial intelligence for radiological paediatric fracture assessment: a systematic review. Insights into Imaging 13(1), article number: 94. (10.1186/s13244-022-01234-3)
- Guan, T., Li, C., Gu, K., Liu, H., Zheng, Y. and Wu, X. 2022. Visibility and distortion measurement for no-reference dehazed image quality assessment via complex contourlet transform. IEEE Transactions on Multimedia (10.1109/TMM.2022.3168438)
- Zhu, T., Li, L., Yang, J., Zhao, S., Liu, H. and Qian, J. 2022. Multimodal sentiment analysis with image-text interaction network. IEEE Transactions on Multimedia (10.1109/TMM.2022.3160060)
- Jiang, Q., Liu, Z., Gu, K., Shao, F., Zhang, X., Liu, H. and Weisi, L. 2022. Single image super-resolution quality assessment: a real-world dataset, subjective studies, and an objective metric. IEEE Transactions on Image Processing 31, pp. 2279-2294. (10.1109/TIP.2022.3154588)
- Yang, X., Li, F., Li, L., Gu, K. and Liu, H. 2022. Study of natural scene categories in measurement of perceived image quality. IEEE Transactions on Instrumentation and Measurement 71 (10.1109/TIM.2022.3154808)
- Guo, P., He, L., Liu, S., Zeng, D. and Liu, H. 2022. Underwater image quality assessment: subjective and objective methods. IEEE Transactions on Multimedia 24, pp. 1980-1989. (10.1109/TMM.2021.3074825)
- Lou, J., Lin, H., Marshall, D., White, R., Yang, Y., Shelmerdine, S. and Liu, H. 2022. Predicting radiologist attention during mammogram reading with deep and shallow high-resolution encoding. Presented at: 29th IEEE International Conference on Image Processing (IEEE ICIP), 16-19 October 2022.
2021
- Lou, J., Zhao, X., Young, P., White, R. and Liu, H. 2021. Study of saccadic eye movements in diagnostic imaging. Presented at: 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 19-22 September 20212021 IEEE International Conference on Image Processing (ICIP). IEEE pp. 1474-1478., (10.1109/ICIP42928.2021.9506017)
- Lévêque, L., Outtas, M., Liu, H. and Zhang, L. 2021. Comparative study of the methodologies used for subjective medical image quality assessment. Physics in Medicine and Biology 66(15), article number: 15TR02. (10.1088/1361-6560/ac1157)
- Yang, X., Li, F. and Liu, H. 2021. TTL-IQA: transitive transfer learning based no-reference image quality assessment. IEEE Transactions on Multimedia 23, pp. 4326-4340. (10.1109/TMM.2020.3040529)
- Guo, P., Zhao, X., Zeng, D. and Liu, H. 2021. A metric for quantifying image quality induced saliency variation. Presented at: 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 19-22 September 2021.
- Xiang, T., Yang, Y. and Liu, H. 2021. PRNet: a progressive recovery network for revealing perceptually encrypted images. Presented at: ACM Multimedia 2021, Chengdu, China, 20-24 October 2021.
- Guo, P., Zhao, X., Wu, D., Zhang, L., Zeng, D. and Liu, H. 2021. Convex optimization method for quantifying image quality induced saliency variation. IEEE Access 9, pp. 111533-111543. (10.1109/ACCESS.2021.3102465)
- Yang, X., Li, F. and Liu, H. 2021. A measurement for distortion induced saliency variation in natural images. IEEE Transactions on Instrumentation and Measurement 70, article number: 5015814. (10.1109/TIM.2021.3108538)
2020
- Guo, P., Zeng, D., Tian, Y., Liu, S., Liu, H. and Li, D. 2020. Multi-scale enhancement fusion for underwater sea cucumber images based on human visual system modelling. Computers and Electronics in Agriculture 175, article number: 105608. (10.1016/j.compag.2020.105608)
- Yang, X., Li, F. and Liu, H. 2020. Deep feature importance awareness based no-reference image quality prediction. Neurocomputing 401, pp. 209-223. (10.1016/j.neucom.2020.03.072)
- Xia, Z., Gu, K., Wang, S., Liu, H. and Kwong, S. 2020. Towards accurate quality estimation of screen content pictures with very sparse reference information. IEEE Transactions on Industrial Electronics 37(3), pp. 2251-2261. (10.1109/TIE.2019.2905831)
- Gu, K., Qiao, J., Lee, S., Liu, H., Lin, W. and Le Callet, P. 2020. Multiscale natural scene statistical analysis for no-reference quality evaluation of DIBR-synthesized views. IEEE Transactions on Broadcasting 66(1), pp. 127-139. (10.1109/TBC.2019.2906768)
- Lévêque, L. et al. 2020. CUID: a new study of perceived image quality and its subjective assessment. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020), United Arab Emirates, 25-28 October 2020.
- Zhao, X., Lin, H., Guo, P., Saupe, D. and Liu, H. 2020. Deep learning vs. traditional algorithms for saliency prediction of distorted images. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020), United Arab Emirates, 25-28 October 2020.
- Lévêque, L., Young, P. and Liu, H. 2020. Studying the gaze patterns of expert radiologists in screening mammography: a case study with Breast Test Wales. Presented at: 28th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, Netherlands, 18-22 Janurary 2021.
2019
- Zhu, Z., Liu, H., Lu, J. and Hu, S. 2019. A metric for video blending quality assessment. IEEE Transactions on Image Processing 29, pp. 3014-3022. (10.1109/TIP.2019.2955294)
- Lévêque, L., Berg, B. V., Bosmans, H., Cockmartin, L., Keupers, M., Ongeval, C. V. and Liu, H. 2019. A statistical evaluation of eye-tracking data of screening mammography: Effects of expertise and experience on image reading. Signal Processing: Image Communication 78, pp. 86-93. (10.1016/j.image.2019.06.008)
- Yue, G., Hou, C., Gu, K., Zhou, T. and Liu, H. 2019. No-reference quality evaluator of transparently encrypted images. IEEE Transactions on Multimedia 21(9), pp. 2184-2194. (10.1109/TMM.2019.2913315)
- Hu, B., Li, L., Liu, H., Lin, W. and Qian, J. 2019. Pairwise-comparison-based rank learning for benchmarking image restoration algorithms. IEEE Transactions on Multimedia 21(8), pp. 2042-2056. (10.1109/TMM.2019.2894958)
- Yang, X., Li, F. and Liu, H. 2019. A comparative study of dnn-based models for blind image quality prediction. Presented at: The 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019.
- Liu, H. and Leveque, L. 2019. An eye-tracking database of video advertising. Presented at: 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019.
- Zhang, W., Zou, W., Yang, F., Leveque, L. and Liu, H. 2019. The effect of spatio-temporal inconsistency on the subjective quality evaluation of omnidirectional videos. Presented at: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, UK, 12-17 May 2019ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Piscataway, NJ: IEEE pp. 4055-4059., (10.1109/ICASSP.2019.8682221)
- Zhou, Y., Li, L., Zhu, H., Liu, H., Wang, S. and Zhao, Y. 2019. No-reference quality assessment for contrast-distorted images based on multifaceted statistical representation of structure. Journal of Visual Communication and Image Representation 60, pp. 158-169. (10.1016/j.jvcir.2019.02.028)
- Leveque, L., Zhang, W. and Liu, H. 2019. International comparison of radiologists' assessment of the perceptual quality of medical ultrasound video. Presented at: 11th International Conference on Quality of Multimedia Experience (QoMEX 2019), Berlin, Germany, 5-7 June 2019Proceedings of 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). IEEE
- Leveque, L., Zhang, W. and Liu, H. 2019. Subjective assessment of image quality induced saliency variation. Presented at: The 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019.
- Yang, M. et al. 2019. Preselection based subjective preference evaluation for the quality of underwater images. Presented at: IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CA, 16 - 20 June 2019. pp. -.
- Yang, X., Li, F. and Liu, H. 2019. A survey of DNN methods for blind image quality assessment. IEEE Access 7, pp. 123788-123806. (10.1109/ACCESS.2019.2938900)
2018
- Zhang, T., Nefs, H., Liu, H., Xia, L., Liu, X. and Wu, X. 2018. Depth-of-field effect in subjective and objective evaluation of image quality. Presented at: ACM RACS 2018 : 2018 ACM Research in Adaptive and Convergent Systems, Honololu, HI, USA, 9-12 October 2018RACS '18: Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. New York: ACM pp. 308-312., (10.1145/3264746.3264757)
- Leveque, L. et al. 2018. On the subjective assessment of the perceived quality of medical images and videos. Presented at: 10th International Conference on Quality of Multimedia Experience (QoMEX 2018), Cagliari, Italy, 29 May-1 June 20182018 Tenth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, (10.1109/QoMEX.2018.8463297)
- Yu, Y., Yang, F., Liu, H. and Zhang, W. 2018. Perceptual quality and visual experience analysis for polygon mesh on different display devices. IEEE Access 6, pp. 42941-42949. (10.1109/ACCESS.2018.2859254)
- Zhang, W., Martin, R. R. and Liu, H. 2018. A saliency dispersion measure for improving saliency-based image quality metrics. IEEE Transactions on Circuits and Systems for Video Technology 28(6), pp. 1462-1466. (10.1109/TCSVT.2017.2650910)
- Zhu, Z., Lu, J., Wang, M., Zhang, S., Martin, R., Liu, H. and Hu, S. 2018. A comparative study of algorithms for realtime panoramic video blending. IEEE Transactions on Image Processing 27(6), pp. 2952-2965. (10.1109/TIP.2018.2808766)
- Leveque, L., Bosmans, H., Cockmartin, L. and Liu, H. 2018. State of the art: Eye-tracking studies in medical imaging. IEEE Access 6, pp. 37023-37034. (10.1109/ACCESS.2018.2851451)
2017
- Leveque, L., Liu, H., Cavaro-Menard, C., Cheng, Y. and Le Callet, P. 2017. Video quality perception in telesurgery. Presented at: 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), Luton, UK, 16-18 October 20172017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). IEEE, (10.1109/MMSP.2017.8122219)
- Liu, H. and Wang, Z. 2017. Perceptual quality assessment of medical images. In: Caplan, M. ed. Reference Module in Biomedical Sciences. Elsevier, (10.1016/B978-0-12-801238-3.64099-0)
- Leveque, L., Zhang, W., Parker, P. and Liu, H. 2017. The impact of specialty settings on the perceived quality of medical ultrasound video. IEEE Access 5, pp. 16998-17005. (10.1109/ACCESS.2017.2743264)
- Zhang, W. and Liu, H. 2017. Learning picture quality from visual distraction: Psychophysical studies and computational models. Neurocomputing 247, pp. 183-191. (10.1016/j.neucom.2017.03.054)
- Leveque, L., Zhang, W., Cavaro-Menard, C., Le Callet, P. and Liu, H. 2017. Study of video quality assessment for telesurgery. IEEE Access 5, pp. 9990-9999. (10.1109/ACCESS.2017.2704285)
- Zhang, W. and Liu, H. 2017. Towards a reliable collection of eye-tracking data for image quality research: challenges, solutions and applications. IEEE Transactions on Image Processing 26(5), pp. 2424-2437. (10.1109/TIP.2017.2681424)
- Zhang, W. and Liu, H. 2017. Study of saliency in objective video quality assessment. IEEE Transactions on Image Processing 26(3), pp. 1275-1288. (10.1109/TIP.2017.2651410)
- Zhang, W. and Liu, H. 2017. Saliency in objective video quality assessment: What is the ground truth?. Presented at: 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), Montreal, QC, Canada, 21-23 September 20162016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). IEEE, (10.1109/MMSP.2016.7813333)
- Zhang, W. and Liu, H. 2017. SIQ288: A saliency dataset for image quality research. Presented at: 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), Montreal, QC, Canada, 21-23 September 20162016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). IEEE, (10.1109/MMSP.2016.7813334)
2016
- Liu, H., Koonen, J., Fuderer, M. and Heynderickx, I. 2016. The relative impact of ghosting and noise on the perceived quality of MR images. IEEE Transactions on Image Processing 25(7), pp. 3087-3098. (10.1109/TIP.2016.2561406)
- Lavoue, G., Liu, H., Myszkowski, K. and Lin, W. 2016. Quality assessment and perception in computer graphics. IEEE Computer Graphics and Applications 36(4), pp. 21-22. (10.1109/MCG.2016.72)
- Zhang, W., Borji, A., Wang, Z., Le Callet, P. and Liu, H. 2016. The application of visual saliency models in objective image quality assessment: a statistical evaluation. IEEE Transactions on Neural Networks and Learning Systems 27(6), pp. 1266-1278. (10.1109/TNNLS.2015.2461603)
- Zhang, W., Tian, Y., Zha, X. and Liu, H. 2016. Benchmarking state-of-the-art visual saliency models for image quality assessment. Presented at: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 20-25 March 20162016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE pp. 1090-1094., (10.1109/ICASSP.2016.7471844)
2015
- Zhang, W., Talens-Noguera, J. V. and Liu, H. 2015. The quest for the integration of visual saliency models in objective image quality assessment: A distraction power compensated combination strategy. Presented at: 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 27-30 September 20152015 IEEE International Conference on Image Processing (ICIP). IEEE pp. 1250., (10.1109/ICIP.2015.7351000)
- Talens-Noguera, J. V., Zhang, W. and Liu, H. 2015. Studying human behavioural responses to time-varying distortions for video quality assessment. Presented at: 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 27-30 September 20152015 IEEE International Conference on Image Processing (ICIP). IEEE pp. 651., (10.1109/ICIP.2015.7350879)
- Rogowitz, B. E., Pappas, T. N., de Ridder, H., Engelke, U., Zhang, W., Le Callet, P. and Liu, H. 2015. Perceived interest versus overt visual attention in image quality assessment. Presented at: SPIE/IS&T Electronic Imaging 2015, San Francisco, California, 8-12 February 2015. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.2086371)
- Zhang, W., Borji, A., Yang, F., Jiang, P. and Liu, H. 2015. Studying the added value of computational saliency in objective image quality assessment. Presented at: 2014 IEEE Visual Communications and Image Processing Conference, Valletta, Malta, 7-10 December 20142014 IEEE Visual Communications and Image Processing Conference. IEEE pp. 21., (10.1109/VCIP.2014.7051494)
- Alers, H., Redi, J., Liu, H. and Heynderickx, I. 2015. Effects of task and image properties on visual-attention deployment in image-quality assessment. Journal of Electronic Imaging 24(2), article number: 23030. (10.1117/1.JEI.24.2.023030)
2014
- Talens-Noguera, J. V. and Liu, H. 2014. Studying the perceived quality variation over time for video quality assessment. Presented at: PIVP '14 Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Orlando, Florida, 07 November 2014PIVP '14 Proceedings of the 1st International Workshop on Perception Inspired Video Processing. New York: ACM pp. 35-36., (10.1145/2662996.2663013)
2013
- Alers, H., Redi, J., Liu, H. and Heynderickx, I. 2013. Studying the effect of optimizing image quality in salient regions at the expense of background content. Journal of Electronic Imaging 22(4), article number: 43012. (10.1117/1.JEI.22.4.043012)
- Engelke, U., Liu, H., Wang, J., Le Callet, P., Heynderickx, I., Zepernick, H. and Maeder, A. 2013. Comparative study of fixation density maps. IEEE Transactions on Image Processing 22(3), pp. 1121-1133. (10.1109/TIP.2012.2227767)
- Liu, H., Engelke, U., Wang, J., Le Callet, P. and Heynderickx, I. 2013. How does image content affect the added value of visual attention in objective image quality assessment?. IEEE Signal Processing Letters 20(4), pp. 355-358. (10.1109/LSP.2013.2243725)
2012
- Liu, H. and Heynderickx, I. 2012. Towards an efficient model of visual saliency for objective image quality assessment. Presented at: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 25-30 March 20122012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE pp. 1153-1153., (10.1109/ICASSP.2012.6288091)
- Abbey, C. K., Liu, H., Koonen, J., Fuderer, M., Heynderickx, I. and Mello-Thoms, C. R. 2012. Studying the relative impact of ghosting and noise on the perceived quality of MR images. Presented at: SPIE Medical Imaging 2012, San Diego, California, 4-9 February 2012, Vol. 8318. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.911019)
- Liu, H. and Heynderickx, I. 2012. Does variation in quality scores result from variation in visual attention?. Presented at: Sixth International Workshop on Video Processing and Quality Metrics for Consumer Electronics, Scottsdale, Arizona, 19-20 January 2012. pp. -.
2011
- Liu, H., Wang, J., Redi, J., Le Callet, P. and Heynderickx, I. 2011. An efficient no-reference metric for perceived blur. Presented at: 3rd European Workshop on Visual Information Processing 2011, Paris, France, 4-6 July 20113rd European Workshop on Visual Information Processing Proceedings. IEEE pp. 174., (10.1109/EuVIP.2011.6045525)
- Liu, H., Redi, J., Alers, H. and Zunino, R. 2011. Efficient neural-network-based no-reference approach to an overall quality metric for JPEG and JPEG2000 compressed images. Journal of Electronic Imaging 20(4), article number: 43007. (10.1117/1.3664181)
- Liu, H. and Heynderickx, I. 2011. Visual attention in objective image quality assessment: based on eye-tracking data. IEEE Transactions on Circuits and Systems for Video Technology 21(7), pp. 971-982. (10.1109/TCSVT.2011.2133770)
- Rogowitz, B. E., Redi, J., Pappas, T. N., Liu, H., Zunino, R. and Heynderickx, I. 2011. Interactions of visual attention and quality perception. Presented at: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, 23 - 27 January 2011. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.876712)
- Engelke, U., Liu, H., Zepernick, H., Heynderickx, I. and Maeder, A. 2011. Comparing two eye-tracking databases: The effect of experimental setup and image presentation time on the creation of saliency maps. Presented at: 28th Picture Coding Symposium 2010, Nagoya, Japan, 8-10 December 201028th Picture Coding Symposium Proceedings. IEEE pp. 282., (10.1109/PCS.2010.5702487)
- Farnand, S. P., Liu, H., Gaykema, F. and Heynderickx, I. 2011. Issues in the design of a no-reference metric for perceived blur. Presented at: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, 23 - 27 January 2011. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.873277)
- Liu, H. 2011. Modeling perceived quality for imaging applications. Delft University of Technology.
2010
- Liu, H., Klomp, N. and Heynderickx, I. 2010. A perceptually relevant approach to ringing region detection. IEEE Transactions on Image Processing 19(6), pp. 1414-1426. (10.1109/TIP.2010.2041406)
- Liu, H., Klomp, N. and Heynderickx, I. 2010. A no-reference metric for perceived ringing artifacts in images. IEEE Transactions on Circuits and Systems for Video Technology 20(4), pp. 529-539. (10.1109/TCSVT.2009.2035848)
- Rogowitz, B. E., Liu, H., Pappas, T. N., Redi, J., Alers, H., Zunino, R. and Heynderickx, I. 2010. No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000. Presented at: IS&T/SPIE Electronic Imaging Conference 2010, San Jose, California, 17-21 January 2010. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.838982)
- Redi, J., Liu, H., Gastaldo, P., Zunino, R. and Heynderickx, I. 2010. How to apply spatial saliency into objective metrics for JPEG compressed images?. Presented at: 2009 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7 - 10 November 20092009 16th IEEE International Conference on Image Processing (ICIP) Proceedings. IEEE, (10.1109/ICIP.2009.5414035)
- Liu, H. and Heynderickx, I. 2010. Studying the added value of visual attention in objective image quality metrics based on eye movement data. Presented at: 2009 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7 - 10 November 20092009 16th IEEE International Conference on Image Processing (ICIP). IEEE pp. 3097., (10.1109/ICIP.2009.5414466)
- Farnand, S. P., Redi, J., Gaykema, F., Liu, H., Alers, H., Zunino, R. and Heynderickx, I. 2010. Comparing subjective image quality measurement methods for the creation of public databases. Presented at: IS&T/SPIE Electronic Imaging Conference 2010, San Jose, California, 17-21 January 2010. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.839195)
- Farnand, S. P., Alers, H., Gaykema, F., Liu, H., Redi, J. and Heynderickx, I. 2010. Studying the effect of optimizing the image quality in saliency regions at the expense of background content. Presented at: IS&T/SPIE Electronic Imaging Conference 2010, San Jose, California, 17-21 January 2010, Vol. 7529. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.839545)
- Liu, H. and Heynderickx, I. 2010. Visual attention modeled with luminance only: from eye-tracking data to computational models. Presented at: Fifth International Workshop on Video Processing and Quality Metrics for Consumer Electronics, Scottsdale, Arizona, 13-15 January 2010. pp. -.
2009
- Liu, H. and Heynderickx, I. 2009. A perceptually relevant no-reference blockiness metric based on local image characteristics. EURASIP Journal on Advances in Signal Processing 2009(1), article number: 263540. (10.1155/2009/263540)
- Liu, H., Klomp, N. and Heynderickx, I. 2009. A no-reference metric for perceived ringing. Presented at: Fourth International Workshop on Video Processing and Quality Metrics for Consumer Electronics, Scottsdale, Arizona, U.S.A., 14-16 January 2009. pp. -.
2008
- Liu, H., Klomp, N. and Heynderickx, I. 2008. Perceptually relevant ringing region detection method. Presented at: 16th European Signal Processing Conference, Lausanne, 25-29 August 20082008 16th European Signal Processing Conference Proceedings. IEEE pp. -.
- Kiranyaz, S., Liu, H., Ferreira, M. and Gabbouj, M. 2008. An efficient approach for boundary based corner detection by maximizing bending ratio and curvature. Presented at: 2007 9th International Symposium on Signal Processing and Its Applications, Sharjah, United Arab Emirates, 12-15 February 20072007 9th International Symposium on Signal Processing and Its Applications. IEEE pp. 1., (10.1109/ISSPA.2007.4555467)
- Liu, H. and Heynderickx, I. 2008. A no-reference perceptual blockiness metric. Presented at: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, USA, 31 March - 4 April 20082008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE pp. 865-., (10.1109/ICASSP.2008.4517747)
2007
- Liu, H. and Heynderickx, I. 2007. A simplified human vision model applied to a blocking artifact metric. Presented at: CAIP 2007, Vienna, Austria, 27-29 Aug 2007 Presented at Kropatsch, W. G., Kampel, M. and Hanbury, A. eds.Computer Analysis of Images and Patterns, Vol. 4673. Lecture Notes in Computer Science Berlin, Heidelberg: Springer Verlag pp. 334-341., (10.1007/978-3-540-74272-2_42)
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- Shelmerdine, S. C., White, R. D., Liu, H., Arthurs, O. J. and Sebire, N. J. 2022. Artificial intelligence for radiological paediatric fracture assessment: a systematic review. Insights into Imaging 13(1), article number: 94. (10.1186/s13244-022-01234-3)
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- Zhang, W. and Liu, H. 2017. Learning picture quality from visual distraction: Psychophysical studies and computational models. Neurocomputing 247, pp. 183-191. (10.1016/j.neucom.2017.03.054)
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- Engelke, U., Liu, H., Wang, J., Le Callet, P., Heynderickx, I., Zepernick, H. and Maeder, A. 2013. Comparative study of fixation density maps. IEEE Transactions on Image Processing 22(3), pp. 1121-1133. (10.1109/TIP.2012.2227767)
- Liu, H., Engelke, U., Wang, J., Le Callet, P. and Heynderickx, I. 2013. How does image content affect the added value of visual attention in objective image quality assessment?. IEEE Signal Processing Letters 20(4), pp. 355-358. (10.1109/LSP.2013.2243725)
- Liu, H., Redi, J., Alers, H. and Zunino, R. 2011. Efficient neural-network-based no-reference approach to an overall quality metric for JPEG and JPEG2000 compressed images. Journal of Electronic Imaging 20(4), article number: 43007. (10.1117/1.3664181)
- Liu, H. and Heynderickx, I. 2011. Visual attention in objective image quality assessment: based on eye-tracking data. IEEE Transactions on Circuits and Systems for Video Technology 21(7), pp. 971-982. (10.1109/TCSVT.2011.2133770)
- Liu, H., Klomp, N. and Heynderickx, I. 2010. A perceptually relevant approach to ringing region detection. IEEE Transactions on Image Processing 19(6), pp. 1414-1426. (10.1109/TIP.2010.2041406)
- Liu, H., Klomp, N. and Heynderickx, I. 2010. A no-reference metric for perceived ringing artifacts in images. IEEE Transactions on Circuits and Systems for Video Technology 20(4), pp. 529-539. (10.1109/TCSVT.2009.2035848)
- Liu, H. and Heynderickx, I. 2009. A perceptually relevant no-reference blockiness metric based on local image characteristics. EURASIP Journal on Advances in Signal Processing 2009(1), article number: 263540. (10.1155/2009/263540)
Book sections
- Liu, H. and Wang, Z. 2017. Perceptual quality assessment of medical images. In: Caplan, M. ed. Reference Module in Biomedical Sciences. Elsevier, (10.1016/B978-0-12-801238-3.64099-0)
Books
- Liu, H. 2011. Modeling perceived quality for imaging applications. Delft University of Technology.
Conferences
- Colombo, G., Whitaker, R. and Liu, H. 2023. Exploring human models of innovation for generative AI. Presented at: ICCC'23 14th International Conference on Computational Creativity, Waterloo, Ontarion Canada, 19-23 June 2023.
- Wu, X., Dong, Z., Zhang, F., Rosin, P. and Liu, H. 2022. Analysis of video quality induced spatio-temporal saliency shifts. Presented at: 29th IEEE International Conference on Image Processing (IEEE ICIP), Bordeaux, France, 16-19 October 20222022 IEEE International Conference on Image Processing (ICIP).
- Xiang, T., Liu, H., Guo, S., Liu, H. and Zhang, T. 2022. Text's armor: optimized local adversarial perturbation against scene text editing attacks. Presented at: Proceedings of the 30th ACM International Conference on Multimedia (MM ’22), 10-14 October 2022Proceedings of the 30th ACM International Conference on Multimedia (MM ’22). New York: Association for Computing Machinery pp. 2777-2785., (10.1145/3503161.3548103)
- Dong, Z., Wu, X., Zhao, X., Zhang, F. and Liu, H. 2022. Identifying pitfalls in the evaluation of saliency models for videos. Presented at: IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Nafplio, Greece, 26-29 June 2022Proceedings of IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). IEEE, (10.1109/IVMSP54334.2022.9816306)
- Lou, J., Lin, H., Marshall, D., White, R., Yang, Y., Shelmerdine, S. and Liu, H. 2022. Predicting radiologist attention during mammogram reading with deep and shallow high-resolution encoding. Presented at: 29th IEEE International Conference on Image Processing (IEEE ICIP), 16-19 October 2022.
- Lou, J., Zhao, X., Young, P., White, R. and Liu, H. 2021. Study of saccadic eye movements in diagnostic imaging. Presented at: 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 19-22 September 20212021 IEEE International Conference on Image Processing (ICIP). IEEE pp. 1474-1478., (10.1109/ICIP42928.2021.9506017)
- Guo, P., Zhao, X., Zeng, D. and Liu, H. 2021. A metric for quantifying image quality induced saliency variation. Presented at: 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 19-22 September 2021.
- Xiang, T., Yang, Y. and Liu, H. 2021. PRNet: a progressive recovery network for revealing perceptually encrypted images. Presented at: ACM Multimedia 2021, Chengdu, China, 20-24 October 2021.
- Lévêque, L. et al. 2020. CUID: a new study of perceived image quality and its subjective assessment. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020), United Arab Emirates, 25-28 October 2020.
- Zhao, X., Lin, H., Guo, P., Saupe, D. and Liu, H. 2020. Deep learning vs. traditional algorithms for saliency prediction of distorted images. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020), United Arab Emirates, 25-28 October 2020.
- Lévêque, L., Young, P. and Liu, H. 2020. Studying the gaze patterns of expert radiologists in screening mammography: a case study with Breast Test Wales. Presented at: 28th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, Netherlands, 18-22 Janurary 2021.
- Yang, X., Li, F. and Liu, H. 2019. A comparative study of dnn-based models for blind image quality prediction. Presented at: The 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019.
- Liu, H. and Leveque, L. 2019. An eye-tracking database of video advertising. Presented at: 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019.
- Zhang, W., Zou, W., Yang, F., Leveque, L. and Liu, H. 2019. The effect of spatio-temporal inconsistency on the subjective quality evaluation of omnidirectional videos. Presented at: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, UK, 12-17 May 2019ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Piscataway, NJ: IEEE pp. 4055-4059., (10.1109/ICASSP.2019.8682221)
- Leveque, L., Zhang, W. and Liu, H. 2019. International comparison of radiologists' assessment of the perceptual quality of medical ultrasound video. Presented at: 11th International Conference on Quality of Multimedia Experience (QoMEX 2019), Berlin, Germany, 5-7 June 2019Proceedings of 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). IEEE
- Leveque, L., Zhang, W. and Liu, H. 2019. Subjective assessment of image quality induced saliency variation. Presented at: The 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019.
- Yang, M. et al. 2019. Preselection based subjective preference evaluation for the quality of underwater images. Presented at: IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CA, 16 - 20 June 2019. pp. -.
- Zhang, T., Nefs, H., Liu, H., Xia, L., Liu, X. and Wu, X. 2018. Depth-of-field effect in subjective and objective evaluation of image quality. Presented at: ACM RACS 2018 : 2018 ACM Research in Adaptive and Convergent Systems, Honololu, HI, USA, 9-12 October 2018RACS '18: Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. New York: ACM pp. 308-312., (10.1145/3264746.3264757)
- Leveque, L. et al. 2018. On the subjective assessment of the perceived quality of medical images and videos. Presented at: 10th International Conference on Quality of Multimedia Experience (QoMEX 2018), Cagliari, Italy, 29 May-1 June 20182018 Tenth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, (10.1109/QoMEX.2018.8463297)
- Leveque, L., Liu, H., Cavaro-Menard, C., Cheng, Y. and Le Callet, P. 2017. Video quality perception in telesurgery. Presented at: 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), Luton, UK, 16-18 October 20172017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). IEEE, (10.1109/MMSP.2017.8122219)
- Zhang, W. and Liu, H. 2017. Saliency in objective video quality assessment: What is the ground truth?. Presented at: 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), Montreal, QC, Canada, 21-23 September 20162016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). IEEE, (10.1109/MMSP.2016.7813333)
- Zhang, W. and Liu, H. 2017. SIQ288: A saliency dataset for image quality research. Presented at: 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), Montreal, QC, Canada, 21-23 September 20162016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). IEEE, (10.1109/MMSP.2016.7813334)
- Zhang, W., Tian, Y., Zha, X. and Liu, H. 2016. Benchmarking state-of-the-art visual saliency models for image quality assessment. Presented at: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 20-25 March 20162016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE pp. 1090-1094., (10.1109/ICASSP.2016.7471844)
- Zhang, W., Talens-Noguera, J. V. and Liu, H. 2015. The quest for the integration of visual saliency models in objective image quality assessment: A distraction power compensated combination strategy. Presented at: 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 27-30 September 20152015 IEEE International Conference on Image Processing (ICIP). IEEE pp. 1250., (10.1109/ICIP.2015.7351000)
- Talens-Noguera, J. V., Zhang, W. and Liu, H. 2015. Studying human behavioural responses to time-varying distortions for video quality assessment. Presented at: 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 27-30 September 20152015 IEEE International Conference on Image Processing (ICIP). IEEE pp. 651., (10.1109/ICIP.2015.7350879)
- Rogowitz, B. E., Pappas, T. N., de Ridder, H., Engelke, U., Zhang, W., Le Callet, P. and Liu, H. 2015. Perceived interest versus overt visual attention in image quality assessment. Presented at: SPIE/IS&T Electronic Imaging 2015, San Francisco, California, 8-12 February 2015. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.2086371)
- Zhang, W., Borji, A., Yang, F., Jiang, P. and Liu, H. 2015. Studying the added value of computational saliency in objective image quality assessment. Presented at: 2014 IEEE Visual Communications and Image Processing Conference, Valletta, Malta, 7-10 December 20142014 IEEE Visual Communications and Image Processing Conference. IEEE pp. 21., (10.1109/VCIP.2014.7051494)
- Talens-Noguera, J. V. and Liu, H. 2014. Studying the perceived quality variation over time for video quality assessment. Presented at: PIVP '14 Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Orlando, Florida, 07 November 2014PIVP '14 Proceedings of the 1st International Workshop on Perception Inspired Video Processing. New York: ACM pp. 35-36., (10.1145/2662996.2663013)
- Liu, H. and Heynderickx, I. 2012. Towards an efficient model of visual saliency for objective image quality assessment. Presented at: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 25-30 March 20122012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE pp. 1153-1153., (10.1109/ICASSP.2012.6288091)
- Abbey, C. K., Liu, H., Koonen, J., Fuderer, M., Heynderickx, I. and Mello-Thoms, C. R. 2012. Studying the relative impact of ghosting and noise on the perceived quality of MR images. Presented at: SPIE Medical Imaging 2012, San Diego, California, 4-9 February 2012, Vol. 8318. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.911019)
- Liu, H. and Heynderickx, I. 2012. Does variation in quality scores result from variation in visual attention?. Presented at: Sixth International Workshop on Video Processing and Quality Metrics for Consumer Electronics, Scottsdale, Arizona, 19-20 January 2012. pp. -.
- Liu, H., Wang, J., Redi, J., Le Callet, P. and Heynderickx, I. 2011. An efficient no-reference metric for perceived blur. Presented at: 3rd European Workshop on Visual Information Processing 2011, Paris, France, 4-6 July 20113rd European Workshop on Visual Information Processing Proceedings. IEEE pp. 174., (10.1109/EuVIP.2011.6045525)
- Rogowitz, B. E., Redi, J., Pappas, T. N., Liu, H., Zunino, R. and Heynderickx, I. 2011. Interactions of visual attention and quality perception. Presented at: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, 23 - 27 January 2011. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.876712)
- Engelke, U., Liu, H., Zepernick, H., Heynderickx, I. and Maeder, A. 2011. Comparing two eye-tracking databases: The effect of experimental setup and image presentation time on the creation of saliency maps. Presented at: 28th Picture Coding Symposium 2010, Nagoya, Japan, 8-10 December 201028th Picture Coding Symposium Proceedings. IEEE pp. 282., (10.1109/PCS.2010.5702487)
- Farnand, S. P., Liu, H., Gaykema, F. and Heynderickx, I. 2011. Issues in the design of a no-reference metric for perceived blur. Presented at: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, 23 - 27 January 2011. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.873277)
- Rogowitz, B. E., Liu, H., Pappas, T. N., Redi, J., Alers, H., Zunino, R. and Heynderickx, I. 2010. No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000. Presented at: IS&T/SPIE Electronic Imaging Conference 2010, San Jose, California, 17-21 January 2010. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.838982)
- Redi, J., Liu, H., Gastaldo, P., Zunino, R. and Heynderickx, I. 2010. How to apply spatial saliency into objective metrics for JPEG compressed images?. Presented at: 2009 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7 - 10 November 20092009 16th IEEE International Conference on Image Processing (ICIP) Proceedings. IEEE, (10.1109/ICIP.2009.5414035)
- Liu, H. and Heynderickx, I. 2010. Studying the added value of visual attention in objective image quality metrics based on eye movement data. Presented at: 2009 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7 - 10 November 20092009 16th IEEE International Conference on Image Processing (ICIP). IEEE pp. 3097., (10.1109/ICIP.2009.5414466)
- Farnand, S. P., Redi, J., Gaykema, F., Liu, H., Alers, H., Zunino, R. and Heynderickx, I. 2010. Comparing subjective image quality measurement methods for the creation of public databases. Presented at: IS&T/SPIE Electronic Imaging Conference 2010, San Jose, California, 17-21 January 2010. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.839195)
- Farnand, S. P., Alers, H., Gaykema, F., Liu, H., Redi, J. and Heynderickx, I. 2010. Studying the effect of optimizing the image quality in saliency regions at the expense of background content. Presented at: IS&T/SPIE Electronic Imaging Conference 2010, San Jose, California, 17-21 January 2010, Vol. 7529. Society of Photo-optical Instrumentation Engineers (SPIE), (10.1117/12.839545)
- Liu, H. and Heynderickx, I. 2010. Visual attention modeled with luminance only: from eye-tracking data to computational models. Presented at: Fifth International Workshop on Video Processing and Quality Metrics for Consumer Electronics, Scottsdale, Arizona, 13-15 January 2010. pp. -.
- Liu, H., Klomp, N. and Heynderickx, I. 2009. A no-reference metric for perceived ringing. Presented at: Fourth International Workshop on Video Processing and Quality Metrics for Consumer Electronics, Scottsdale, Arizona, U.S.A., 14-16 January 2009. pp. -.
- Liu, H., Klomp, N. and Heynderickx, I. 2008. Perceptually relevant ringing region detection method. Presented at: 16th European Signal Processing Conference, Lausanne, 25-29 August 20082008 16th European Signal Processing Conference Proceedings. IEEE pp. -.
- Kiranyaz, S., Liu, H., Ferreira, M. and Gabbouj, M. 2008. An efficient approach for boundary based corner detection by maximizing bending ratio and curvature. Presented at: 2007 9th International Symposium on Signal Processing and Its Applications, Sharjah, United Arab Emirates, 12-15 February 20072007 9th International Symposium on Signal Processing and Its Applications. IEEE pp. 1., (10.1109/ISSPA.2007.4555467)
- Liu, H. and Heynderickx, I. 2008. A no-reference perceptual blockiness metric. Presented at: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, USA, 31 March - 4 April 20082008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE pp. 865-., (10.1109/ICASSP.2008.4517747)
- Liu, H. and Heynderickx, I. 2007. A simplified human vision model applied to a blocking artifact metric. Presented at: CAIP 2007, Vienna, Austria, 27-29 Aug 2007 Presented at Kropatsch, W. G., Kampel, M. and Hanbury, A. eds.Computer Analysis of Images and Patterns, Vol. 4673. Lecture Notes in Computer Science Berlin, Heidelberg: Springer Verlag pp. 334-341., (10.1007/978-3-540-74272-2_42)
Ymchwil
Research Projects
Modelling Human Behavioural Responses to Distortions for Visual Quality Assessment, Royal Society.
Addysgu
Arweinydd Modiwl – Prosesu Data a Delweddu (israddedig)
Arweinydd Modiwl – Cyfrifiadura Centric Dynol (ôl-raddedig)
Bywgraffiad
Rwy'n Gyfarwyddwr Rhyngwladol ar gyfer yr Ysgol Cyfrifiadureg a Gwybodeg, Prifysgol Caerdydd. Rwy'n aelod o Uwch Dîm Rheoli yr Ysgol ac yn gyfrifol am ddatblygu, arwain a chyflwyno'r Strategaeth Ryngwladol ar gyfer yr Ysgol.
Fi yw Arweinydd y Grŵp Ymchwil Cyfrifiadura Amlgyfrwng, Prifysgol Caerdydd.
Rwy'n Gadeirydd Pwyllgor Rhyngwladol y Ganolfan Deallusrwydd Artiffisial, Roboteg a Systemau Peiriant Dynol (IROHMS), Prifysgol Caerdydd.
Rwy'n Ddarlithydd mewn Cyfrifiadureg. Graddiais o Brifysgol Caeredin, y Deyrnas Unedig, ac yna gweithiais yn yr Adran Systemau Deallus ym Mhrifysgol Technoleg Delft (TU Delft), Yr Iseldiroedd ar gyfer fy PhD ar Ddeallusrwydd Rhyngweithiol. Cyllidwyd fy ymchwil PhD gan Philips Research Laboratories. Rwy'n un o sylfaenwyr y Delft Image Quality Lab. Ers 2006, rwyf wedi bod yn gweithio'n agos gyda diwydiant i ddatblygu technolegau delwedd a fideo y genhedlaeth nesaf. Arweiniais brosiect a ariannwyd gan Philips Research Laboratories a ddatblygodd algorithmau newydd ar gyfer asesu ansawdd y cyfryngau gweledol; a phrosiect a ariannwyd gan Philips Healthcare a oedd yn mynd i'r afael â nifer o faterion yn ymwneud ag ansawdd delwedd feddygol.
Mae fy niddordebau ymchwil yn gorwedd ar groesffordd Prosesu Delwedd a Fideo, AI / Machine Learning, Computer Vision, Applied Perception, Multimedia Computing, a Rhyngweithio Dynol-Dechnoleg.