Xiongkuo Min (闵雄阔)

Xiongkuo Min Associate Professor (tenure-track) Institute of Image Communication and Network Engineering Department of Electronic Engineering Shanghai Jiao Tong University, Shanghai, China minxiongkuo@sjtu.edu.cn Google Scholar 中文主页

About me

I'm currently an Associate Professor (tenure-track) with the Institute of Image Communication and Network Engineering, Department of Electronic Engineering, Shanghai Jiao Tong University, where I joined in Oct. 2021.

I received my B.E. degree from Wuhan University, Wuhan, China, in 2013, and my Ph.D. degree from Shanghai Jiao Tong University, Shanghai, China, in 2018. From Jun. 2018 to Sept. 2021, I did my Postdoc at Shanghai Jiao Tong University. From Jan. 2016 to Jan. 2017, I was a visiting PhD student at University of Waterloo. From Jan. 2019 to Jan. 2021, I was a visiting scholar at The University of Texas at Austin and the University of Macau.

My research interests lie in the fields of multimedia, image/video processing, computer vision, and artificial intelligence, and particularly in:

• Image/video/audio quality assessment

• Visual attention analysis and prediction

• Visual enhancement and restoration

• Multimodal information fusion

• VR/AR/XR and metaverse

• Virtual digital human

• AI for healthcare

News

• 10/2023, We receive the Winner Prize of the IEEE ICIP Point Cloud Visual Quality Assessment Grand Challenge

• 07/2023, We receive the IEEE MSA-TC Best Paper Award - Honorable Mention

• 06/2023, Undergraduate from our group wins the Best Bachelor Thesis Award of SJTU (Top 1%)

• 03/2023, Our survey paper wins the Hot Paper Award of SCIENCE CHINA Information Sciences

• 11/2022, We receive the First Prize of the Technological Invention Award of CSIG (中国图象图形学学会技术发明一等奖)

• 11/2022, We receive the Second Prize of the Teaching Achievement Award of CSIG (中国图象图形学学会教学成果二等奖)

• 10/2022, We receive the First Prize of the IEEE ICIP Grand Challenge on Video Surveillance Quality Assessment

• 09/2022, I'm sponsored by NSFC (general program)

• 09/2022, I'm sponsored by Shanghai Pujiang Talent Program

• 06/2022, We receive the Best Paper Award of IEEE BMSB

• 10/2021, I join Shanghai Jiao Tong University as a tenure-track Associate Professor

• 09/2021, I'm sponsored by NSFC (young scholar program)

• 07/2021, We receive the First Place Award of IEEE ICME Grand Challenge on Quality Assessment of Compressed UGC Videos

• 06/2021, We receive the Best Paper Runner-up Award of IEEE Transactions on Multimedia

• 02/2021, I received the Excellent Ph.D. Thesis Award of Chinese Institute of Electronics (CIE) (中国电子学会优博)

• 07/2019, We receive the Best Paper Award of IEEE International Workshop on Mobile Multimedia Computing (in conjunction with IEEE ICME)

• 12/2018, I'm sponsored by the Shanghai Super-Postdoc Incentive Plan

• 07/2018, We receive the Grand Prize of IEEE ICME Salient360! Grand Challenge

• 06/2018, I'm sponsored by the National Postdoctoral Program for Innovative Talents

• 06/2018, I pass my Ph.D. defense

• 07/2017, We receive the Special Award of IEEE ICME Salient360! Grand Challenge

• 07/2016, We receive the Best Student Paper Award of IEEE ICME
  

Selected Publications

More on Publication page.

• Screen Content Quality Assessment: Overview, Benchmark, and Beyond
  Xiongkuo Min, Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang, Patrick Le Callet, and Chang Wen Chen
  ACM Computing Surveys (CSUR), vol. 54, no. 9, pp. 1-36, 2022.
  ESI Highly Cited Paper

• Study of Subjective and Objective Quality Assessment of Audio-Visual Signals
  Xiongkuo Min, Guangtao Zhai, Jiantao Zhou, Mylene C.Q. Farias, and Alan Conrad Bovik
  IEEE Transactions on Image Processing (TIP), vol. 29, pp. 6054–6068, 2020.
  [Code] [LIVE-SJTU A/V-QA Database]

• A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence
  Xiongkuo Min, Guangtao Zhai, Jiantao Zhou, Xiao-Ping Zhang, Xiaokang Yang, and Xinping Guan
  IEEE Transactions on Image Processing (TIP), vol. 29, pp. 3805-3819, 2020.
  [Code] [AVA Database]

• Perceptual Image Quality Assessment: A Survey
  Guangtao Zhai, and Xiongkuo Min
  SCIENCE CHINA Information Sciences, vol. 63, no. 11, pp. 211301, 2020.
  Hot Paper Award, ESI Highly Cited Paper

• Blind Quality Assessment Based on Pseudo Reference Image
  Xiongkuo Min, Ke Gu, Guangtao Zhai, Jing Liu, Xiaokang Yang, and Chang Wen Chen
  IEEE Transactions on Multimedia (TMM), vol. 20, no. 20, pp. 2049-2062, 2018.
  [Code: BPRI]
  Best Paper Runner-up Award, ESI Highly Cited Paper

• Blind Image Quality Estimation via Distortion Aggravation
  Xiongkuo Min, Guangtao Zhai, Ke Gu, Yutao Liu, and Xiaokang Yang
  IEEE Transactions on Broadcasting (TBC), vol. 64, no. 2, pp. 508-517, 2018.
  [Code: BMPRI]

• Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images
  Xiongkuo Min, Kede Ma, Ke Gu, Guangtao Zhai, Zhou Wang, and Weisi Lin
  IEEE Transactions on Image Processing (TIP), vol. 26, no. 11, pp. 5462-5474, 2017.
  [Project] [Code: UCA] [Database: CCT]
  ESI Hot Paper

Featured Research

Surveys for Perceptual Quality Assessment - [SCIS] Perceptual Image Quality Assessment: A Survey G. Zhai, and X. Min, SCIENCE CHINA Information Sciences, vol. 63, no. 11, pp. 211301, 2020. Hot Paper Award, ESI Highly Cited Paper - [ACM CSUR] Screen Content Quality Assessment: Overview, Benchmark, and Beyond X. Min, K. Gu, G. Zhai, X. Yang, W. Zhang, P. L. Callet, and C. W. Chen, ACM Computing Surveys, vol. 54, no. 9, pp. 1-36, 2022. ESI Highly Cited Paper

AIGC Image Quality Assessment - [IEEE TCSVT] AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment C. Li, Z. Zhang, H. Wu, W. Sun, X. Min, X. Liu, G. Zhai, and W. Lin, IEEE TCSVT, 2023. [Database] - [CICAI] AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: From the Perspectives of Quality, Authenticity and Correspondence J. Wang, H. Duan, J. Liu, S. Chen, X. Min, and G. Zhai, CICAI, 2023. [Database]

Point Cloud, Mesh Quality Assessment - [IJCAI] MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment Z. Zhang, W. Sun, X. Min, Q. Zhou, J. He, Q. Wang, and G. Zhai, IJCAI, 2023. [Code] - [IEEE TCSVT] No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models Z. Zhang, W. Sun, X. Min, T. Wang, W. Lu, and G. Zhai, IEEE TCSVT, vol. 32, no. 11, pp. 7618-7631, 2022. [Code]

Image/Video Enhancement/Restoration/Interpolation etc. - [IEEE CVPR] Blurry Video Frame Interpolation W. Shen, W. Bao, G. Zhai, L. Chen, X. Min, and Z. Gao, IEEE/CVF CVPR, 2020, pp. 5114-5123. [Project & Code] - [IEEE TIP] Video Frame Interpolation and Enhancement via Pyramid Recurrent Framework W. Shen, W. Bao, G. Zhai, L. Chen, X. Min, and Z. Gao, IEEE TIP, vol. 30, pp. 277-292, 2021. [Project & Code] - [IEEE TIP] Self-Conditioned Probabilistic Learning of Video Rescaling Y. Tian, G. Lu, X. Min, Z. Che, G. Zhai, G. Guo, and Z. Gao, IEEE/CVF ICCV, 2021, pp. 4490-4499. [Code] - [IEEE TMM] Develop then Rival: A Human Vision-Inspired Framework for Superimposed Image Decomposition H. Duan, W. Shen, X. Min, Y. Tian, J.-H. Jung, X. Yang, and G. Zhai, IEEE TMM, 2022. - [IEEE TGRS] Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution K. Zhang, D. Zhu, X. Min, and G. Zhai, IEEE TGRS, vol. 61, pp. 1-12, 2022. - [IEEE TMC] Dynamic Backlight Scaling Considering Ambient Luminance for Mobile Videos on LCD Displays W. Sun, X. Min, G. Zhai, K. Gu, S. Ma, and X. Yang, IEEE TMC, vol. 21, no. 1, pp. 110-124, 2022. [Database]

Image Quality Assessment in-the-Wild - [IEEE JSTSP] Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training W. Sun, X. Min, D. Tu, S. Ma, and G. Zhai, IEEE JSTSP, 2023. [Code] - [IEEE TMM] Blind Image Quality Assessment Via Cross-View Consistency Y. Zhu, Y. Li, W. Sun, X. Min, G. Zhai, and X. Yang, IEEE TMM, vol. 25, pp. 7364-7377, 2022. - [IEEE TCSVT] Synergetic Assessment of Quality and Aesthetic: Approach and Comprehensive Benchmark Dataset K. Zhang, D. Zhu, X. Min, Z. Gao, and G. Zhai, IEEE TCSVT, 2023. - [NeurIPS] Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop W. Zhang, D. Li, X. Min, G. Zhai, G. Guo, X. Yang, and K. Ma, NeurIPS, 2022, vol. 35, pp. 2916-2929. [Code]

Video Quality Assessment in-the-Wild - [ACM MM] A Deep Learning based No-reference Quality Assessment Model for UGC Videos W. Sun, X. Min, W. Lu, and G. Zhai, ACM MM, 2022, pp. 856-865. [Code] - [IEEE CVPR] MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos Z. Zhang, W. Wu, W. Sun, D. Tu, W. Lu, X. Min, Y. Chen, and G. Zhai, IEEE/CVF CVPR, 2023, 1746-1755. [Database] - [IEEE ICMEW] Deep Learning Based Full-Reference and No-Reference Quality Assessment Models for Compressed UGC Videos W. Sun, T. Wang, X. Min, F. Yi, and G. Zhai, IEEE ICMEW, 2021, pp. 1-6. [Code] First Place Award of IEEE ICME 2021 Grand Challenge on Quality Assessment of Compressed UGC Videos

Blind IQA with Opinion Score Distributions - [ACM MM] Image Quality Assessment: From Mean Opinion Score to Opinion Score Distribution Y. Gao, X. Min, Y. Zhu, J. Li, X.-P. Zhang, and G. Zhai, ACM MM, 2022, pp. 997–1005. [Code] - [IEEE TCSVT] Blind Image Quality Assessment: A Fuzzy Neural Network for Opinion Score Distribution Prediction Y. Gao, X. Min, Y. Zhu, X.-P. Zhang, and G. Zhai, IEEE TCSVT, 2023. [Code] - [IEEE TCSVT] Image Quality Score Distribution Prediction via Alpha Stable Model Y. Gao, X. Min, W. Zhu, X.-P. Zhang, and G. Zhai, IEEE TCSVT, vol. 33, no. 6, pp. 2656-2671, 2023. [Database & Code]

Human Gaze and Human-Object Interaction Detection - [IEEE CVPR] End-to-End Human-Gaze-Target Detection with Transformers D. Tu, X. Min, H. Duan, G. Guo, G. Zhai, and W. Shen, IEEE/CVF CVPR, 2022, pp. 2192-2200. - [IEEE TCSVT] Un-Gaze: A Unified Transformer for Joint Gaze-Location and Gaze-Object Detection D. Tu, W. Shen, W. Sun, X. Min, G. Zhai, and C. W. Chen, IEEE TCSVT, 2023. - [NeurIPS] Video-based Human-Object Interaction Detection from Tubelet Tokens D. Tu, W. Sun, X. Min, G. Zhai, and W. Shen, NeurIPS, 2022, vol. 35, pp. 23345-23357. - [ECCV] Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows D. Tu, X. Min, H. Duan, G. Guo, G. Zhai, and W. Shen, ECCV, 2022, pp. 87-103.

Information Hiding - [IEEE CVPR] Learning Invisible Markers for Hidden Codes in Offline-to-online Photography J. Jia, Z. Gao, D. Zhu, X. Min, G. Guo, and G. Zhai, IEEE/CVF CVPR, 2022, pp. 2273-2282. - [IEEE TCYB] RIHOOP: Robust Invisible Hyperlinks in Offline and Online Photographs J. Jia, Z. Gao, K. Chen, M. Hu, X. Min, G. Zhai, and X. Yang, IEEE TCYB, vol. 52, no. 7, pp. 7094-7106, 2022. - [IEEE TMM] RIVIE: Robust Inherent Video Information Embedding J. Jia, Z. Gao, D. Zhu, X. Min, M. Hu, and G. Zhai, IEEE TMM, vol. 25, pp. 7607-7620, 2023.

Quality Assessment for Specific Applications - [IEEE TIP] A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation X. Min, J. Zhou, G. Zhai, P. L. Callet, X. Yang, and X. Guan, IEEE TIP, vol. 29, pp. 3790-3804, 2020. [Code] - [IEEE TMI] Blind Image Quality Assessment for Pathological Microscopic Image under Screen and Immersion Scenarios Y. Guo, M. Hu, X. Min, Y. Wang, M. Dai, G. Zhai, X.-P. Zhang, and X. Yang, IEEE TMI, 2023. [Database & Code] - [IEEE TBC] Deep Neural Network for Blind Visual Quality Assessment of 4K Content W. Lu, W. Sun, X. Min, W. Zhu, Q. Zhou, J. He, Q. Wang, Z. Zhang, T. Wang, and G. Zhai, IEEE TBC, vol. 69, no. 2, pp. 406-421, 2023. - [IEEE ToG] A Deep Learning Based Multi-Dimensional Aesthetic Quality Assessment Method for Mobile Game Images T. Wang, W. Sun, W. Wu, Y. Chen, X. Min, W. Lu, Z. Zhang, and G. Zhai, IEEE ToG, 2022. - [IEEE TBC] A Wavelet-Predominant Algorithm Can Evaluate Quality of THz Security Image and Identify Its Usability M. Hu, G. Zhai, R. Xie, X. Min, Q. Li, and X. Yang, IEEE TBC, vol. 66, no. 1, pp. 140-152, 2020. [Database] - [IEEE ICIP] Surveillance Video Quality Assessment Based on Quality Related Retraining Z. Zhang, W. Lu, W. Sun, X. Min, T. Wang, and G. Zhai, IEEE ICIP, 2022, pp. 4278-4282. The First Prize of the IEEE ICIP Grand Challenge - Video Distortion Detection and Classification in the Context of Video Surveillance

Visual Attention Prediction in Virtual Reality - [ACM TOMM] Learning a Deep Agent to Predict Head Movement in 360-Degree Images Y. Zhu, G. Zhai, X. Min, and J. Zhou, ACM TOMM, vol. 16, no. 4, pp. 130:1-130:23, 2020. - [IEEE TMM] The Prediction of Saliency Map for Head and Eye Movements in 360 Degree Images Y. Zhu, G. Zhai, X. Min, and J. Zhou, IEEE TMM, vol. 22, no. 9, pp. 2331-2344, 2020. - [SPIC] The Prediction of Head and Eye Movement for 360 Degree Images Y. Zhu, G. Zhai, and X. Min, SPIC, vol. 69, pp. 15-25, 2018. Special Award of IEEE ICME 2017 Salient360! Grand Challenge - [IEEE TCSVT] Viewing Behavior Supported Visual Saliency Predictor for 360 Degree Videos Y. Zhu, G. Zhai, Y. Yang, H. Duan, X. Min, and X. Yang, IEEE TCSVT, vol. 32, no. 7, pp. 4188-4201, 2022. Grand Prize of IEEE ICME 2018 Salient360! Grand Challenge - [IEEE TMM] Unified Audio-visual Saliency Model for Omnidirectional Videos with Spatial Audio D. Zhu, K. Zhang, N. Zhang, Q. Zhou, X. Min, G. Zhai, and X. Yang, IEEE TMM, 2023.

Quality Assessment and Transmission in Virtual Reality - [IEEE JSTSP] MC360IQA: The Multi-Channel CNN for Blind 360-Degree Image Quality Assessment W. Sun, X. Min, G. Zhai, K. Gu, H. Duan, and S. Ma, IEEE JSTSP, vol. 14, no. 1, pp. 64-77, 2020. [Code] [Database] - [IEEE ISCAS] Perceptual Quality Assessment of Omnidirectional Images H. Duan, G. Zhai, X. Min, Y. Zhu, Y. Fang, X. Yang, IEEE ISCAS, 2018, pp. 1-5. [Database] - [IEEE JSTSP] Attentive Deep Image Quality Assessment for Omnidirectional Stitching H. Duan, X. Min, W. Sun, Y. Zhu, X.-P. Zhang, and G. Zhai, IEEE JSTSP, 2023. [Database(TeraBox)] [Database(BaiduCloud)] - [IEEE TWC] QoE Driven VR 360° Video Massive MIMO Transmission L. Teng, G. Zhai, Y. Wu, X. Min, W. Zhang, Z. Ding, and C. Xiao, IEEE TWC, vol. 21, no. 1, pp. 18-33, 2022.

Attention and Experience Prediction in Augmented Reality - [ACM MM] Saliency in Augmented Reality H. Duan, W. Shen, X. Min, D. Tu, J. Li, and G. Zhai, ACM MM, 2022, pp. 6549-6558. [Code & Database] - [ACM TOMM] Toward Visual Behavior and Attention Understanding for Augmented 360 Degree Videos Y. Zhu, X. Min, D. Zhu, G. Zhai, X. Yang, W. Zhang, K. Gu, and J. Zhou, ACM TOMM, vol. 19, no. 2s, pp. 99:1-99:24, 2023. - [IEEE TIP] Confusing Image Quality Assessment: Toward Better Augmented Reality Experience H. Duan, X. Min, Y. Zhu, G. Zhai, X. Yang, and P. L. Callet, IEEE TIP, vol. 31, pp. 7206-7221, 2022. [Code & Database] - [IEEE BMSB] Augmented Reality Image Quality Assessment Based on Visual Confusion Theory H. Duan, L. Guo, W. Sun, X. Min, L. Chen, and G. Zhai, IEEE BMSB, 2022, pp. 1-6. [Code & Database] Best Paper Award

Audio-Visual Quality Assessment - [IEEE TIP] Study of Subjective and Objective Quality Assessment of Audio-Visual Signals X. Min, G. Zhai, J. Zhou, M. C.Q. Farias, and A. C. Bovik, IEEE TIP, vol. 29, pp. 6054–6068, 2020. [Code] [LIVE-SJTU A/V-QA Database] - [IEEE TIP] Attention-Guided Neural Networks for Full-Reference and No-Reference Audio-Visual Quality Assessment Y. Cao, X. Min, W. Sun, and G. Zhai, IEEE TIP, vol. 32, pp. 1882-1896, 2023. [Code] - [IEEE TIP] Subjective and Objective Audio-Visual Quality Assessment for User Generated Content Y. Cao, X. Min, W. Sun, and G. Zhai, IEEE TIP, 2023.

Quality Assessment for Enhancement (Haze, Light, Stability, etc.) - [IEEE TMM] Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images X. Min, G. Zhai, K. Gu, Y. Zhu, J.o Zhou, G. Guo, X. Yang, X. Guan, and W. Zhang, IEEE TMM, vol. 21, no. 9, pp. 2319-2333, 2019. [Code: DEHAZEfr] [Database: SHRQ] - [IEEE TITS] Objective Quality Evaluation of Dehazed Images X. Min, G. Zhai, K. Gu, X. Yang, and X. Guan, IEEE TITS, vol. 20, no. 9, pp. 2879-2892, 2019. [Code: DHQI] [Database: DHQ] [Database: rDHAZY] [Database: rFRIDA] - [IEEE TITS] HazDesNet: An End-to-End Network for Haze Density Prediction J. Zhang, X. Min, Y. Zhu, G. Zhai, J. Zhou, X. Yang, and W. Zhang, IEEE TITS, vol. 23, no. 4, pp. 3087-3102, 2020. [Code & Database] - [ACM TOMM] Perceptual Quality Assessment of Low-light Image Enhancement G. Zhai, W. Sun, X. Min, and J. Zhou, ACM TOMM, vol. 17, no. 4, pp. 130:1-130:24, 2021. [Code: LIEQA] [Database: LIEQ] - [ACM MM] StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability T. Kou, X. Liu, W. Sun, J. Jia, X. Min, G. Zhai, and N. Liu, ACM MM, 2023. [Code] - [IEEE CVPRW] VDPVE: VQA Dataset for Perceptual Video Enhancement Y. Gao, Y. Cao, T. Kou, W. Sun, Y. Dong, X. Liu, X. Min, and G. Zhai, IEEE/CVF CVPRW, 2023, pp. 1474-1483. [Challenge] [Database]

Screen Content Quality Assessment - [ACM CSUR] Screen Content Quality Assessment: Overview, Benchmark, and Beyond X. Min, K. Gu, G. Zhai, X. Yang, W. Zhang, P. L. Callet, and C. W. Chen, ACM Computing Surveys, vol. 54, no. 9, pp. 1-36, 2022. ESI Highly Cited Paper - [IEEE TIP] Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images X. Min, K. Ma, K. Gu, G. Zhai, Z. Wang, and W. Lin, IEEE TIP, vol. 26, no. 11, pp. 5462-5474, 2017. [Project] [Code: UCA] [Database: CCT] ESI Hot Paper - [IEEE TBC] Subjective and Objective Quality Assessment of Compressed Screen Content Videos T. Li, X. Min, H. Zhao, G. Zhai, Y. Xu, and W. Zhang, IEEE TBC, vol. 67, no. 2, pp. 438-449, 2021. [Database] - [IEEE TVCG] Evaluating Quality of Screen Content Images Via Structural Variation Analysis K. Gu, J. Qiao, X. Min, G. Yue, W. Lin, and D. Thalmann, IEEE TVCG, vol. 24, no. 10, pp. 2689-2701, 2018. [Code] - [IEEE TIE] A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures K. Gu, L. Li, H. Lu, X. Min, and W. Lin, IEEE TIE, vol. 64, no. 5, pp. 3903-3912, 2017. [Code] ESI Highly Cited Paper - [SP] Saliency-Induced Reduced-Reference Quality Index for Natural Scene and Screen Content Images X. Min, K. Gu, G. Zhai, M. Hu, and X. Yang, SP, vol. 145, pp. 127-136, 2018. [Code]

Multimodal (Audio, Visual, Text, etc.) Saliency Prediction - [IEEE TIP] A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence X. Min, G. Zhai, J. Zhou, X.-P. Zhang, X. Yang, and X. Guan, IEEE TIP, vol. 29, pp. 3805-3819, 2020. [Code] [AVA Database] - [ACM TOMM] Fixation Prediction through Multimodal Analysis X. Min, G. Zhai, K. Gu, and X. Yang, ACM TOMM, vol. 13, no. 1, pp. 6:1-6:23, 2017. [Code] [Database] - [IEEE TIP] How is Gaze Influenced by Image Transformations? Dataset and Model Z. Che, A. Borji, G. Zhai, X. Min, G. Guo, and P. L. Callet, IEEE TIP, vol. 29, pp. 2287-2300, 2020. [Code] [Database] - [ACM TOMM] A Novel Lightweight Audio-visual Saliency Model for Videos D. Zhu, X. Shao, Q. Zhou, X. Min, G. Zhai, and X. Yang, ACM TOMM, vol. 19, no. 4, pp. 147:1-147:22, 2023. - [IEEE ISCAS] The Influence of Text-guidance on Visual Attention Y. Sun, X. Min, H. Duan, and G. Zhai, IEEE ISCAS/, 2023, pp.1-5. IEEE MSA-TC Best Paper Award - Honorable Mention

BIQA Based on Pseudo References - [IEEE TMM] Blind Quality Assessment Based on Pseudo Reference Image X. Min, K. Gu, G. Zhai, J. Liu, X. Yang, and C. W. Chen, IEEE TMM, vol. 20, no. 20, pp. 2049-2062, 2018. [Code: BPRI] Best Paper Runner-up Award, ESI Highly Cited Paper - [IEEE TBC] Blind Image Quality Estimation via Distortion Aggravation X. Min, G. Zhai, K. Gu, Y. Liu, and X. Yang, IEEE TBC, vol. 64, no. 2, pp. 508-517, 2018. [Code: BMPRI] - [IEEE ICME] Blind Quality Assessment of Compressed Images via Pseudo Structural Similarity X. Min, G. Zhai, K. Gu, Y. Fang, X. Yang, X. Wu, J. Zhou, and X. Liu, IEEE ICME, 2016, pp. 1-6. [Code] Best Student Paper Award

Contact

Office: #5-100 SEIEE Building, Shanghai Jiao Tong University
Mail: #5-100 SEIEE Building, 800 Dong Chuan Rd, Shanghai 200240, China
Web: https://minxiongkuo.github.io/
Email: minxiongkuo@sjtu.edu.cn OR minxiongkuo@gmail.com