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Number of items: 127.

Mao, Amin, Yan, Jiebin, Fang, Yuming and Liu, Hantao

2025. Hierarchical boundary feature alignment network for video salient object detection. Journal of Visual Communication and Image Representation 109 , 104435. 10.1016/j.jvcir.2025.104435
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Liu, Jiang, Wang, Huasheng, Stawarz, Katarzyna

, Li, Shiyin, Fu, Yao and Liu, Hantao

2025. Vision-based human action quality assessment: A systematic review. Expert Systems with Applications 263 , 125642. 10.1016/j.eswa.2024.125642

Liu, Jiang, Wang, Huasheng, Zhou, Wei, Stawarz, Katarzyna

, Corcoran, Padraig

, Chen, Ying and Liu, Hantao

2025. Adaptive spatiotemporal graph transformer network for action quality assessment. IEEE Transactions on Circuits and Systems for Video Technology 10.1109/TCSVT.2025.3541456

Zeng, Yirui, Fu, Jun, Amirpour, Hadi, Wang, Huasheng, Yue, Guanghui, Liu, Hantao

, Chen, Ying and Zhou, Wei 2025. CLIP-DQA: Blindly evaluating dehazed images from global and local perspectives using CLIP. Presented at: IEEE International Symposium on Circuits and Systems, London, UK, 25-28 May 2025.

Wu, Xinbo, Lou, Jianxun, Wu, Yingying, Liu, Wanan, Rosin, Paul L.

, Colombo, Gualtiero, Allen, Stuart

, Whitaker, Roger

and Liu, Hantao

2024. Image manipulation quality assessment. IEEE Transactions on Circuits and Systems for Video Technology 10.1109/tcsvt.2024.3504854

Wang, Huasheng, Liu, Jiang, Tan, Hongchen, Lou, Jianxun, Liu, Xiaochang, Zhou, Wei and Liu, Hantao

2024. Blind image quality assessment via adaptive graph attention. IEEE Transactions on Circuits and Systems for Video Technology 34 (10) , pp. 10299-10309. 10.1109/TCSVT.2024.3405789

Ma, Yueran, Lou, Jianxun, Tanguy, Jean-Yves, Corcoran, Padraig

and Liu, Hantao

2024. RAD-IQMRI: A benchmark for MRI image quality assessment. Neurocomputing 602 , 128292. 10.1016/j.neucom.2024.128292

Lou, Jianxun, Wu, Xinbo, Corcoran, Padraig

, Rosin, Paul L.

and Liu, Hantao

2024. TranSalNet+: Distortion-aware saliency prediction. Neurocomputing 600 , 128155. 10.1016/j.neucom.2024.128155

Lou, Jianxun, Wu, Xinbo, Wu, Yingying, Corcoran, Padraig

, Colombo, Gualtiero, Whitaker, Roger

and Liu, Hantao

2024. A benchmark of variance of opinion scores in image quality assessment. Presented at: IEEE International Conference on Image Processing, Abu Dhabi, 27-30 October 2024. Proceedings of International Conference on Image Processing. IEEE, pp. 1232-1238. 10.1109/ICIP51287.2024.10647649

Yue, Guanghui, Wu, Honglv, Yan, Weiqing, Zhou, Tianwei, Liu, Hantao

and Zhou, Wei 2024. Subjective and objective quality assessment of multi-attribute retouched face images. IEEE Transactions on Broadcasting 70 (2) , pp. 570-583. 10.1109/TBC.2024.3374043

Yan, Weiqing, Sun, Yiqiu, Yue, Guanghui, Zhou, Wei and Liu, Hantao

2024. FVIFormer: flow-guided global-local aggregation transformer network for video inpainting. IEEE Journal of Emerging and Selected Topics in Circuits and Systems 14 (2) , pp. 235-244. 10.1109/JETCAS.2024.3392972

Fu, Jun, Zhou, Wei, Jiang, Qiuping, Liu, Hantao

and Zhai, Guangtao 2024. Vision-language consistency guided multi-modal prompt learning for blind AI generated image quality assessment. IEEE Signal Processing Letters 31 , pp. 1820-1824. 10.1109/LSP.2024.3420083

Wang, Huasheng, Lou, Jianxun, Liu, Xiaochang, Tan, Hongchen, Whitaker, Roger

and Liu, Hantao

2024. SSPNet: Predicting visual saliency shifts. IEEE Transactions on Multimedia 26 , pp. 4938-4949. 10.1109/TMM.2023.3327886

Zhou, Wei, Zhang, Ruizeng, Li, Leida, Yue, Guanghui, Gong, Jianwei, Chen, Huiyan and Liu, Hantao

2024. Dehazed image quality evaluation: from partial discrepancy to blind perception. IEEE Transactions on Intelligent Vehicles 9 (2) , pp. 3843-3858. 10.1109/TIV.2024.3356055

Liao, Yuxiang, Liu, Hantao

and Spasić, Irena

2024. Fine-tuning coreference resolution for different styles of clinical narratives. Journal of Biomedical Informatics 149 , 104578. 10.1016/j.jbi.2023.104578

Liao, Yuxiang, Liu, Hantao

and Spasic, Irena

2024. RadCoref: Fine-tuning coreference resolution for different styles of clinical narratives (version 1.0.0). [Online]. PhysioNet. Available at: https://doi.org/10.13026/z67q-xy65

Lou, Jianxun, Lin, Hanhe, Young, Philippa, White, Richard, Yang, Zelei, Shelmerdine, Susan, Marshall, David

, Spezi, Emiliano

, Palombo, Marco

and Liu, Hantao

2024. Predicting radiologists' gaze with computational saliency models in mammogram reading. IEEE Transactions on Multimedia 26 , pp. 256-269. 10.1109/TMM.2023.3263553

Wang, Guangcheng, Jiang, Kui, Gu, Ke, Liu, Hongyan, Liu, Hantao

and Zhang, Wenjun 2024. Coarse- and fine-grained fusion hierarchical network for hole filling in view synthesis. IEEE Transactions on Image Processing 33 , pp. 322-337. 10.1109/TIP.2023.3341303

Lou, Jianxun, Wu, Xinbo, White, Richard, Wu, Yingying and Liu, Hantao

2024. Time-interval visual saliency prediction in mammogram reading. Presented at: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, 14-19 April 2024.

Liao, Yuxiang, Liang, Yuanbang, Qin, Yipeng, Liu, Hantao

and Spasic, Irena

2024. CID at RRG24: Attempting in a conditionally initiated decoding of Radiology Report Generation with clinical entities. Presented at: The 23rd Workshop on Biomedical Natural Language Processing, Bangkok, Thailand, 16 August 2024. Published in: Demner-Fushman, Dina, Ananiadou, Sophia, Miwa, Makoto, Roberts, Kirk and Tsujii, Junichi eds. Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Association for Computational Linguistics, pp. 591-596. 10.18653/v1/2024.bionlp-1.49

Liao, Yuxiang, Xiang, Haishan, Liu, Hantao

and Spasić, Irena

2024. Using information extraction to normalize the training data for automatic radiology report generation. IEEE Access 12 , pp. 185103-185116. 10.1109/ACCESS.2024.3504378

Yang, Ying, Xiang, Tao, Guo, Shangwei, Lv, Xiao, Liu, Hantao

and Liao, Xiaofeng 2023. EHNQ: Subjective and objective quality evaluation of enhanced night-time images. IEEE Transactions on Circuits and Systems for Video Technology 33 (9) , pp. 4645-4659. 10.1109/TCSVT.2023.3245625

Su, Shaolin, Lin, Hanhe, Hosu, Vlad, Wiedemann, Oliver, Sun, Jinqiu, Zhu, Yu, Liu, Hantao

, Zhang, Yanning and Saupe, Dietmar 2023. Going the extra mile in face image quality assessment: a novel database and model. IEEE Transactions on Multimedia 10.1109/TMM.2023.3301276

Ma, Yueran, Tanguy, Jean-Yves, White, Richard, Corcoran, Padraig

and Liu, Hantao

2023. Impact of radiologist experience on medical image quality perception. Presented at: 15th International Conference on Quality of Multimedia Experience (QoMEX), Ghent, Belgium, 20-22 June 2023. Proceedings of 5th International Conference on Quality of Multimedia Experience. IEEE, pp. 177-182. 10.1109/QoMEX58391.2023.10178430

Wang, Huasheng, Tu, Yulin, Liu, Xiaochang, Tan, Hongchen and Liu, Hantao

2023. Deep ordinal regression framework for no-reference image quality assessment. IEEE Signal Processing Letters 30 , 428 - 432. 10.1109/LSP.2023.3265569

Kang, Yaozu, Jiang, Qiuping, Li, Chongyi, Ren, Wenqi, Liu, Hantao

and Wang, Pengjun 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

Zhu, Tong, Li, Leida, Yang, Jufeng, Zhao, Sicheng, Liu, Hantao

and Qian, Jiansheng 2023. Multimodal sentiment analysis with image-text interaction network. IEEE Transactions on Multimedia 25 , pp. 3375-3385. 10.1109/TMM.2022.3160060

Guan, Tuxin, Li, Chaofeng, Gu, Ke, Liu, Hantao

, Zheng, Yuhui and Wu, Xiao-Jun 2023. Visibility and distortion measurement for no-reference dehazed image quality assessment via complex contourlet transform. IEEE Transactions on Multimedia 25 , pp. 3934-3949. 10.1109/TMM.2022.3168438

Yue, Guanghui, Cheng, Di, Li, Leida, Zhou, Tianwei, Liu, Hantao

and Wang, Tianfu 2023. Semi-supervised authentically distorted image quality assessment with consistency-preserving dual-branch convolutional neural network. IEEE Transactions on Multimedia 25 , pp. 6499-6511. 10.1109/TMM.2022.3209889

Lv, Xiao, Xiang, Tao, Yang, Ying and Liu, Hantao

2023. Blind dehazed image quality assessment: a deep CNN-based approach. IEEE Transactions on Multimedia 25 , pp. 9410-9424. 10.1109/TMM.2023.3252267

Zhou, Wei, Yue, Guanghui, Zhang, Ruizeng, Qin, Yipeng

and Liu, Hantao

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

Fang, Yuming, Li, Zhaoqian, Yan, Jiebin, Sui, Xiangjie and Liu, Hantao

2023. Study of spatio-temporal modeling in video quality assessment. IEEE Transactions on Image Processing 32 , pp. 2693-2702. 10.1109/TIP.2023.3272480

Colombo, Gualtiero, Whitaker, Roger

and Liu, Hantao

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.

Liao, Yuxiang, Liu, Hantao

and Spasic, Irena

2023. Deep learning approaches to automatic radiology report generation: A systematic review. Informatics in Medicine Unlocked 39 , 101273. 10.1016/j.imu.2023.101273

Zhao, Xin, Lou, Jianxun, Wu, Xinbo, Wu, Yingying, Leveque, Lucie, Liu, Xiaochang, Guo, Pengfei, Qin, Yipeng

, Lin, Hanhe, Saupe, Dietmar and Liu, Hantao

2023. CUDAS: Distortion-aware saliency benchmark. IEEE Access 11 , pp. 58025-58036. 10.1109/ACCESS.2023.3283344

Yang, Miao, Xie, Zhuoran, Dong, Jinnai, Liu, Hantao

, Wang, Haiwen and Shen, Mengjiao 2023. Distortion-independent pairwise underwater image perceptual quality comparison. IEEE Transactions on Instrumentation and Measurement 72 , 5024415. 10.1109/TIM.2023.3307754

Song, Tianshu, Li, Leida, Chen, Pengfei, Liu, Hantao

and Qian, Jiansheng 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, Nan, Gu, Ke, Qiao, Junfei and Liu, Hantao

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, Xiaodi, Li, Fan, Huang, Zhiwei and Liu, Hantao

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, Xinbo, Dong, Zhengyan, Zhang, Fan, Rosin, Paul

and Liu, Hantao

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 2022. 2022 IEEE International Conference on Image Processing (ICIP).

Xiang, Tao, Liu, Hangcheng

, Guo, Shangwei, Liu, Hantao

and Zhang, Tianwei 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 2022. Proceedings of the 30th ACM International Conference on Multimedia (MM ’22). New York: Association for Computing Machinery, pp. 2777-2785. 10.1145/3503161.3548103

Lou, Jianxun, Lin, Hanhe, Marshall, David, Saupe, Dietmar and Liu, Hantao

2022. TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing 495 , pp. 455-467. 10.1016/j.neucom.2022.04.080

Dong, Zhengyan, Wu, Xinbo, Zhao, Xin, Zhang, Fan and Liu, Hantao

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 2022. Proceedings of IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). IEEE, 10.1109/IVMSP54334.2022.9816306

Shelmerdine, Susan C., White, Richard D., Liu, Hantao

, Arthurs, Owen J. and Sebire, Neil J. 2022. Artificial intelligence for radiological paediatric fracture assessment: a systematic review. Insights into Imaging 13 (1) , 94. 10.1186/s13244-022-01234-3

Jiang, Qiuping, Liu, Zhentao, Gu, Ke, Shao, Feng, Zhang, Xinfeng, Liu, Hantao

and Weisi, Lin 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, Xiaohan, Li, Fan, Li, Leida, Gu, Ke and Liu, Hantao

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, Pengfei, He, Lang, Liu, Shuangyin, Zeng, Delu and Liu, Hantao

2022. Underwater image quality assessment: subjective and objective methods. IEEE Transactions on Multimedia 24 , pp. 1980-1989. 10.1109/TMM.2021.3074825

Lou, Jianxun, Lin, Hanhe, Marshall, David

, White, Richard, Yang, Young, Shelmerdine, Susan and Liu, Hantao

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.

Guo, Pengfei, Liu, Hantao

, Zeng, Delu, Xiang, Tao, Li, Leida and Gu, Ke 2022. An underwater image quality assessment metric. IEEE Transactions on Multimedia 25 , pp. 5093-5106. 10.1109/TMM.2022.3187212

Lou, Jianxun, Zhao, Xin, Young, Philippa, White, Richard and Liu, Hantao

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 2021. 2021 IEEE International Conference on Image Processing (ICIP). IEEE, pp. 1474-1478. 10.1109/ICIP42928.2021.9506017

Lévêque, Lucie, Outtas, Meriem, Liu, Hantao

and Zhang, Lu 2021. Comparative study of the methodologies used for subjective medical image quality assessment. Physics in Medicine and Biology 66 (15) , 15TR02. 10.1088/1361-6560/ac1157

Yang, Xiaohan, Li, Fan and Liu, Hantao

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, Pengfei, Zhao, Xin, Zeng, Delu and Liu, Hantao

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, Pengfei, Zhao, Xin, Wu, Dongqing, Zhang, Lei, Zeng, Delu and Liu, Hantao

2021. Convex optimization method for quantifying image quality induced saliency variation. IEEE Access 9 , pp. 111533-111543. 10.1109/ACCESS.2021.3102465

Yang, Xiaohan, Li, Fan and Liu, Hantao

2021. A measurement for distortion induced saliency variation in natural images. IEEE Transactions on Instrumentation and Measurement 70 , 5015814. 10.1109/TIM.2021.3108538

Guo, Pengfei, Zeng, Delu, Tian, Yunbo, Liu, Shuangyin

, Liu, Hantao

and Li, Daoliang 2020. Multi-scale enhancement fusion for underwater sea cucumber images based on human visual system modelling. Computers and Electronics in Agriculture 175 , 105608. 10.1016/j.compag.2020.105608

Yang, Xiaohan, Li, Fan and Liu, Hantao

2020. Deep feature importance awareness based no-reference image quality prediction. Neurocomputing 401 , pp. 209-223. 10.1016/j.neucom.2020.03.072

Xia, Zhifang, Gu, Ke, Wang, Shiqi, Liu, Hantao

and Kwong, Sam 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, Ke, Qiao, Junfei, Lee, Sanghoon, Liu, Hantao

, Lin, Weisi and Le Callet, Patrick 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, Lucie, Yang, Ji, Yang, Xiaohan, Guo, Pengfei, Dasalla, Kenneth, Li, Leida, Wu, Yingying and Liu, Hantao

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, Xin, Lin, Hanhe, Guo, Pengfei, Saupe, Dietmar and Liu, Hantao

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, Lucie, Young, Philippa and Liu, Hantao

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.

Zhu, Zhe, Liu, Hantao

, Lu, Jiaming and Hu, Shi-Min 2019. A metric for video blending quality assessment. IEEE Transactions on Image Processing 29 , pp. 3014-3022. 10.1109/TIP.2019.2955294

Lévêque, Lucie, Berg, Baptiste Vande, Bosmans, Hilde, Cockmartin, Lesley, Keupers, Machteld, Ongeval, Chantal Van and Liu, Hantao

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, Guanghui, Hou, Chunping, Gu, Ke, Zhou, Tianwei and Liu, Hantao

2019. No-reference quality evaluator of transparently encrypted images. IEEE Transactions on Multimedia 21 (9) , pp. 2184-2194. 10.1109/TMM.2019.2913315

Hu, Bo, Li, Leida, Liu, Hantao

, Lin, Weisi and Qian, Jiansheng 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, Xiaohan, Li, Fan and Liu, Hantao

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, Hantao

and Leveque, Lucie 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, Wei, Zou, Wenjie, Yang, Fuzheng, Leveque, Lucie and Liu, Hantao

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 2019. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Piscataway, NJ: IEEE, pp. 4055-4059. 10.1109/ICASSP.2019.8682221

Zhou, Yu, Li, Leida, Zhu, Hancheng, Liu, Hantao

, Wang, Shiqi and Zhao, Yao 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, Lucie, Zhang, Wei and Liu, Hantao

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 2019. Proceedings of 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). IEEE,

Leveque, Lucie, Zhang, Wei and Liu, Hantao

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, Miao, Du, Yixiang, Huang, Yue, Liu, Hantao

, Wei, Zhiqiang, Hu, Jintong, Hu, Ke and Sheng, Zhibin 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. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE, pp. 34-43.

Yang, Xiaohan, Li, Fan and Liu, Hantao

2019. A survey of DNN methods for blind image quality assessment. IEEE Access 7 , pp. 123788-123806. 10.1109/ACCESS.2019.2938900

Zhang, Tingting, Nefs, Harold, Liu, Hantao

, Xia, Ling, Liu, Xiaofeng

and Wu, Xiaoli 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 2018. RACS '18: Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. New York: ACM, pp. 308-312. 10.1145/3264746.3264757

Leveque, Lucie, Liu, Hantao

, Barakovic, Sabina, Husic, Jasmina Barakovic, Martini, Maria, Outtas, Meriem, Zhang, Lu, Kumcu, Asli, Platisa, Ljiljana, Rodrigues, Rafael, Pinheiro, Antonio and Skodras, Athanassios 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 2018. 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, 10.1109/QoMEX.2018.8463297

Yu, Youguang, Yang, Fuzheng, Liu, Hantao

and Zhang, Wei 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, Wei, Martin, Ralph R. and Liu, Hantao

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, Zhe, Lu, Jiaming, Wang, Minxuan, Zhang, Songhai, Martin, Ralph, Liu, Hantao

and Hu, Shi-Min

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, Lucie, Bosmans, Hilde, Cockmartin, Lesley and Liu, Hantao

2018. State of the art: Eye-tracking studies in medical imaging. IEEE Access 6 , pp. 37023-37034. 10.1109/ACCESS.2018.2851451

Leveque, Lucie, Liu, Hantao

, Cavaro-Menard, Christine, Cheng, Yongqiang and Le Callet, Patrick 2017. Video quality perception in telesurgery. Presented at: 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), Luton, UK, 16-18 October 2017. 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 10.1109/MMSP.2017.8122219

Liu, Hantao

and Wang, Zhou 2017. Perceptual quality assessment of medical images. Caplan, Michael, ed. Reference Module in Biomedical Sciences, Elsevier, (10.1016/B978-0-12-801238-3.64099-0)

Leveque, Lucie, Zhang, Wei, Parker, Pamela and Liu, Hantao

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, Wei and Liu, Hantao

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, Lucie, Zhang, Wei, Cavaro-Menard, Christine, Le Callet, Patrick and Liu, Hantao

2017. Study of video quality assessment for telesurgery. IEEE Access 5 , pp. 9990-9999. 10.1109/ACCESS.2017.2704285

Zhang, Wei and Liu, Hantao

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, Wei and Liu, Hantao

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, Wei and Liu, Hantao

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 2016. 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 10.1109/MMSP.2016.7813333

Zhang, Wei and Liu, Hantao

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 2016. 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 10.1109/MMSP.2016.7813334

Liu, Hantao

, Koonen, Jos, Fuderer, Miha and Heynderickx, Ingrid 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, Guillaume, Liu, Hantao

, Myszkowski, Karol and Lin, Weisi 2016. Quality assessment and perception in computer graphics. IEEE Computer Graphics and Applications 36 (4) , pp. 21-22. 10.1109/MCG.2016.72

Zhang, Wei, Borji, Ali, Wang, Zhou, Le Callet, Patrick and Liu, Hantao

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, Wei, Tian, Yi, Zha, Xiaojie and Liu, Hantao

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 2016. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 1090-1094. 10.1109/ICASSP.2016.7471844

Zhang, Wei, Talens-Noguera, Juan V. and Liu, Hantao

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 2015. 2015 IEEE International Conference on Image Processing (ICIP). IEEE, p. 1250. 10.1109/ICIP.2015.7351000

Talens-Noguera, Juan V., Zhang, Wei and Liu, Hantao

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 2015. 2015 IEEE International Conference on Image Processing (ICIP). IEEE, p. 651. 10.1109/ICIP.2015.7350879

Rogowitz, Bernice E., Pappas, Thrasyvoulos N., de Ridder, Huib, Engelke, Ulrich, Zhang, Wei, Le Callet, Patrick and Liu, Hantao

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. Proceedings of SPIE. Society of Photo-optical Instrumentation Engineers (SPIE), 10.1117/12.2086371

Zhang, Wei, Borji, Ali, Yang, Fuzheng, Jiang, Ping and Liu, Hantao

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 2014. 2014 IEEE Visual Communications and Image Processing Conference. IEEE, p. 21. 10.1109/VCIP.2014.7051494

Alers, Hani, Redi, Judith, Liu, Hantao

and Heynderickx, Ingrid 2015. Effects of task and image properties on visual-attention deployment in image-quality assessment. Journal of Electronic Imaging 24 (2) , 023030. 10.1117/1.JEI.24.2.023030

Talens-Noguera, Juan Vicente and Liu, Hantao

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 2014. PIVP '14 Proceedings of the 1st International Workshop on Perception Inspired Video Processing. New York: ACM, pp. 35-36. 10.1145/2662996.2663013

Alers, Hani, Redi, Judith, Liu, Hantao

and Heynderickx, Ingrid 2013. Studying the effect of optimizing image quality in salient regions at the expense of background content. Journal of Electronic Imaging 22 (4) , 043012. 10.1117/1.JEI.22.4.043012

Engelke, Ulrich, Liu, Hantao

, Wang, Junle, Le Callet, Patrick, Heynderickx, Ingrid, Zepernick, Hans-Jürgen and Maeder, Anthony 2013. Comparative study of fixation density maps. IEEE Transactions on Image Processing 22 (3) , pp. 1121-1133. 10.1109/TIP.2012.2227767

Liu, Hantao

, 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, Hantao

and Heynderickx, Ingrid 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 2012. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 1153. 10.1109/ICASSP.2012.6288091

Abbey, Craig K., Liu, Hantao

, Koonen, Jos, Fuderer, Miha, Heynderickx, Ingrid and Mello-Thoms, Claudia 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. Proceedings of SPIE. , vol.8318 Society of Photo-optical Instrumentation Engineers (SPIE), 10.1117/12.911019

Liu, Hantao

and Heynderickx, Ingrid 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. -.

Liu, Hantao

, Wang, Junle, Redi, Judith, Le Callet, Patrick and Heynderickx, Ingrid 2011. An efficient no-reference metric for perceived blur. Presented at: 3rd European Workshop on Visual Information Processing 2011, Paris, France, 4-6 July 2011. 3rd European Workshop on Visual Information Processing Proceedings. IEEE, p. 174. 10.1109/EuVIP.2011.6045525

Liu, Hantao

, 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) , 043007. 10.1117/1.3664181

Liu, Hantao

and Heynderickx, Ingrid 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, Bernice E., Redi, Judith, Pappas, Thrasyvoulos N., Liu, Hantao

, Zunino, Rodolfo and Heynderickx, Ingrid 2011. Interactions of visual attention and quality perception. Presented at: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, 23 - 27 January 2011. Proceedings of SPIE. Society of Photo-optical Instrumentation Engineers (SPIE), 10.1117/12.876712

Engelke, Ulrich, Liu, Hantao

, Zepernick, Hans-Jurgen, Heynderickx, Ingrid and Maeder, Anthony 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 2010. 28th Picture Coding Symposium Proceedings. IEEE, p. 282. 10.1109/PCS.2010.5702487

Farnand, Susan P., Liu, Hantao

, Gaykema, Frans and Heynderickx, Ingrid 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. Proceedings of SPIE. Society of Photo-optical Instrumentation Engineers (SPIE), 10.1117/12.873277

Liu, Hantao

2011. Modeling perceived quality for imaging applications. Delft University of Technology.

Liu, Hantao

, Klomp, Nick and Heynderickx, Ingrid 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, Hantao

, Klomp, Nick and Heynderickx, Ingrid 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, Bernice E., Liu, Hantao

, Pappas, Thrasyvoulos N., Redi, Judith, Alers, Hani, Zunino, Rodolfo and Heynderickx, Ingrid 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. Proceedings of SPIE. Society of Photo-optical Instrumentation Engineers (SPIE), 10.1117/12.838982

Redi, Judith, Liu, Hantao

, Gastaldo, Paolo, Zunino, Rodolfo and Heynderickx, Ingrid 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 2009. 2009 16th IEEE International Conference on Image Processing (ICIP) Proceedings. IEEE, 10.1109/ICIP.2009.5414035

Liu, Hantao

and Heynderickx, Ingrid 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 2009. 2009 16th IEEE International Conference on Image Processing (ICIP). IEEE, p. 3097. 10.1109/ICIP.2009.5414466

Farnand, Susan P., Redi, Judith, Gaykema, Frans, Liu, Hantao

, Alers, Hani, Zunino, Rodolfo and Heynderickx, Ingrid 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. Proceedings of SPIE. Society of Photo-optical Instrumentation Engineers (SPIE), 10.1117/12.839195

Farnand, Susan P., Alers, Hani, Gaykema, Frans, Liu, Hantao

, Redi, Judith and Heynderickx, Ingrid 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. Proceedings of SPIE. , vol.7529 Society of Photo-optical Instrumentation Engineers (SPIE), 10.1117/12.839545

Liu, Hantao

and Heynderickx, Ingrid 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. -.

Liu, Hantao

and Heynderickx, Ingrid 2009. A perceptually relevant no-reference blockiness metric based on local image characteristics. EURASIP Journal on Advances in Signal Processing 2009 (1) , 263540. 10.1155/2009/263540

Liu, Hantao

, Klomp, Nick and Heynderickx, Ingrid 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. -.

Liu, Hantao

, Klomp, Nick and Heynderickx, Ingrid 2008. Perceptually relevant ringing region detection method. Presented at: 16th European Signal Processing Conference, Lausanne, 25-29 August 2008. 2008 16th European Signal Processing Conference Proceedings. IEEE, -.

Kiranyaz, Serkan, Liu, Hantao

, Ferreira, Miguel and Gabbouj, Moncef 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 2007. 2007 9th International Symposium on Signal Processing and Its Applications. IEEE, p. 1. 10.1109/ISSPA.2007.4555467

Liu, Hantao

and Heynderickx, Ingrid 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 2008. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 865-. 10.1109/ICASSP.2008.4517747

Liu, Hantao

and Heynderickx, Ingrid 2007. A simplified human vision model applied to a blocking artifact metric. Presented at: CAIP 2007, Vienna, Austria, 27-29 Aug 2007. Published in: Kropatsch, Walter G., Kampel, Martin and Hanbury, Allan eds. Computer Analysis of Images and Patterns. Lecture Notes in Computer Science. Lecture Notes in Computer Science , vol.4673 Berlin, Heidelberg: Springer Verlag, pp. 334-341. 10.1007/978-3-540-74272-2_42

This list was generated on Sat May 3 05:26:21 2025 BST.