Publications

Journals

  1. Z. Wu, R. Ge, G. Shi, L. Zhang, Y. Chen, L. Luo, Y. Cao, H. Yu. “MD-NDNet: multi-dimension convolutional neural network for false positive reduction in pulmonary nodule detection”. Physics in Medicine and Biology; Accepted.
  2. A. F. Perrin, L. Zhang, O. Le Meur. “Inferring Visual Biases in UAV Videos from Eye Movements”. Drones; July 2020.
  3. F. Chao, L. Zhang, W. Hammidouche, O. Deforges. “A Multi-FoV Viewport-based Visual Fixation Model Using Adaptive Weighting Losses for 360° Images”. IEEE Transactions on Multimedia; June 2020.
  4. Q. Wang, L. Zhang, Y. Li, K. Kpalma. “Overview of deep-learning based methods for salient object detection in videos”. Pattern Recognition; March 2020.
  5. A. F. Perrin, V. Krassanakis, L. Zhang, V. Ricordel, M. P. Da Silva, O. Le Meur. “EyeTrackUAV2 : a Large-Scale Binocular Eye-Tracking Dataset for UAV Videos”. Drones; January 2020.
  6. Y. Gu, H. Tang, T. Lv, Y. Chen, Z. Wang, L. Zhanget al. “Discriminative feature representation for Noisy image quality assessment”. Multimedia Tools and Applications; January 2020.
  7. Q. Wang, L. Zhang, K. Kpalma, W. Zou. “Salient video object detection using a virtual border and guided filter”. Pattern Recognition; Volume 97, January 2020, 106998.
  8. H. Zhu, D. Tong, L. Zhang, et al. “Temporally Downsampled Cerebral CT Perfusion Image Restoration Using Deep Residual Learning”. International Journal of Computer Assisted Radiology and Surgery; October 2019; 1-9.
  9. Y. Gao, Y. Song, X. Yin, W. Wu, L. Zhang, Y. Chen, W. Shi, “Deep learning-based digital subtraction angiography image generation”. International Journal of Computer Assisted Radiology and Surgery; July 2019; 1-10.
  10. L. Zhang, I. Saidi, S. Tian, V. Barriac, O. Déforges, “Overview of full-reference video quality metrics and their performance evaluations for videoconferencing application”. Journal of Electronic Imaging; March 2019; 28(2), 023001.
  11. T. Wang, L. Zhang, H. Jia. “An effective general-purpose NR-IQA model using natural scene statistics (NSS) of the luminance relative order”. Signal Processing: Image Communication; February 2019; 71:100-109.
  12. W. Zou, Z. Zhuang, S. Jiao, L. Zhang, K. Kpalma. “Image Steganography Based on Digital Holography and Saliency Map”. Optical Engineering; January 2019; 58(1), 013102.
  13. H. Jia, L. Zhang, T. Wang. “Contrast and visual saliency similarity-induced index for assessing image quality”. IEEE Access; October 2018; 6:65885-65893.
  14. S. Tian, L. Zhang, L. Morin, O. Deforges. “A benchmark of DIBR Synthesized View Quality Assessment Metrics on a new database for Immersive Media Applications”. IEEE Transactions on Multimedia; October 2018. (Database download link: https://vaader-data.insa-rennes.fr/data/stian/ieeetom/IETR_DIBR_Database.zip)
  15. C. Xiang, L. Zhang, Y. Tang, W. Zou, C. Xu. “MS-CapsNet: A Novel Multi-Scale Capsule Network”. IEEE Signal Processing Letters; October 2018; 25(12):1850-1854.
  16. M. Outtas, L. Zhang, O. Deforges, A. Serir, W. Hammidouche, Y. Chen. “Subjective and Objective Evaluations of feature selected Multi Output Filter for Speckle reduction on Ultrasound Images”. Physics in Medicine and Biology; August 2018; 63(18):185014.
  17. S. Tian, L. Zhang, L. Morin, O. Deforges. “NIQSV+: A No Reference Synthesized View Quality Assessment Metric”. IEEE Transactions on Image Processing; December 2017; 27(4):1652-1664. (Code: https://vaader-data.insa-rennes.fr/data/stian/ieeetom/Code_NIQSV+.zip)
  18. Y. Chen, L. Zhang, W. Yuan, et al. “Extended PCJO for the detection-localization of hypersignals and hyposignals in CT images”. IEEE Access; June 2017; 5(99):24239-24248.
  19. T. Wang, L. Zhang, H. Jia, et al. “Multiscale contrast similarity deviation: an effective and efficient index for perceptual image quality assessment”. Signal Processing: Image Communication; April 2016; 45:1-9.
  20. T. Wang, L. Zhang, H. Jia, Y. Kong, B. Li, H. Shu. “Image quality assessment based on perceptual grouping”. Journal of Southeast University (English Edition); March 2016; 32(1):29-34.
  21. L. Zhang, C. Cavaro-Ménard, P. Le Callet. “An overview of model observers.Innovation and Research in BioMedical engineering (IRBM); June 2014; 35(4):214-224.
  22. D. GE, L. Zhang, C. Cavaro-Ménard, P. Le Callet. “Numerical Stability issues on Channelized Hotelling Observer under different background assumptions.” Journal of the Optical Society of America A (JOSA A); April 2014; 31(5):1112-1117.
  23. L. Zhang, B. Goossens, C. Cavaro-Ménard, P. Le Callet, D. GE. “Channelized model observer for the detection and estimation of signals with unknown amplitude, orientation, and size.Journal of the Optical Society of America A (JOSA A); November 2013; 30(11):2422-32.
  24. L. Zhang, C. Cavaro-Ménard, P. Le Callet, J. Tanguy. “A Perceptually relevant Channelized Joint Observer (PCJO) for the detection-localization of parametric signals.” IEEE Transactions on Medical Imaging; October 2012; 31(10):1875-1888.

International Conferences

  1. T. Ladune, P. Philippe, W. Hamidouche, L. Zhang, O. Deforges. “Optical Flow and Mode Selection for Learning-based Video Coding”. IEEE International Workshop on Multimedia Signal Processing (MMSP), Septembre 2020, Tampere, Finland.
  2. T. Ladune, P. Philippe, W. Hamidouche, L. Zhang, O. Deforges. “ModeNet: Mode Selection Network for Learned Video Coding”. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Septembre 2020, Espoo, Finland.
  3. Y. Zhang, L. Zhang, W. Hammidouche, O. Deforges. “A fixation-based 360° benchmark dataset for salient object detection”. ICIP, Abu Dhabi, United Arab Emirates (UAE), October 2020. (Database download link: https://github.com/PanoAsh/F-360iSOD)
  4. F. Chao, C. Ozcinar, C. Wang, E. Zerman, L. Zhang, W. Hamidouche, O. Déforges, A. Smolic. “Audio-visual perception of omnidirectional video for virtual reality applications”. ICMEw, July 2020, London, UK.
  5. Q. Wang, L. Zhang, K. Kpalma. “A semantics-guided warping for semi-supervised video object instance segmentation”. ICIAR, June 2020, Póvoa de Varzim, Portugal.
  6. Y. Li, L. Zhang, Q. Wang, G. Lafruit. “MANet: Multi-scale aggregated network for light field depth estimation”. ICASSP, May 2020, Barcelona, Spain.
  7. T. Ladune, P. Philippe, W. Hamidouche, L. Zhang, O. Deforges. “Binary probability model for learning based image compression”. ICASSP, May 2020, Barcelona, Spain.
  8. Invited paper: J. Chen, L. Zhang, C. Bai, K. Kpalma. “Review of Recent Deep Learning Methods for Image-Text Retrieval”. IEEE 3rd International Conference on Multimedia Information Processing and Retrieval (MIPR), April 2020, Shenzhen, China.
  9. Y. Zhang, L. Zhang, W. Hammidouche, O. Deforges. “Key Issues for the Construction of Salient Object Datasets with Large-Scale Annotation”. IEEE 3rd International Conference on Multimedia Information Processing and Retrieval (MIPR), April 2020, Shenzhen, China.
  10. A. F. Perrin, L. Zhang, O. Le Meur. “How well current saliency prediction models perform on UAVs videos?”. Computer Analysis of Images and Patterns (CAIP), September 2019, Salerno, Italy.
  11. I. Saidi, L. Zhang, O. Deforges, V. Barriac. “Laboratory and crowdsourcing studies of lip sync effect on the audio-video quality assessment for videoconferencing application”. ICIP, September 2019, Taipei, Taiwan.
  12. S. Tian, L. Zhang, L. Morin, O. Deforges. “SC-IQA: Shift compensation based image quality assessment for DIBR-synthesized views”. Visual Communications and Image Processing (VCIP), December 2018, Taichung, Taiwan. (Code: https://vaader-data.insa-rennes.fr/data/stian/ieeetom/Code_SC-IQA.zip)
  13. F. Chao, L. Zhang, W. Hammidouche, O. Deforges. “SalGAN360: Visual Saliency Prediction on 360 Degree Images with Generative Adversarial Networks”. ICME2018, July 2018, San Diego, California, USA. (Codehttps://github.com/FannyChao/SalGAN360)
  14. S. Tian, L. Zhang, L. Morin, O. Deforges. “Performance comparison of objective metrics on free-viewpoint videos with different depth coding algorithms”. SPIE Optical Engineering + Applications, August 2018, San Diego, California, USA.
  15. I. Saidi, L. Zhang, O. Deforges, V. Barriac. “Machine learning approach for global no-reference video quality model generation”. SPIE Optical Engineering + Applications, August 2018, San Diego, California, USA.
  16. M. Bichon, J. Le Tanou, M. Ropert, W. Hammidouche, L. Morin, L. Zhang. “Low Complexity Joint RDO of Prediction Units Couples for HEVC Intra Coding”. Picture Coding Symposium (PCS), June 2018, San Francisco, California, USA.
  17. M. Outtas, L. Zhang, O. Deforges, W. Hammidouche, A. Serir. “Evaluation of No-reference quality metrics for Ultrasound liver images”. QoMEX, May 29 – 31, 2018, Sardinia, Italy.
  18. L. Lévêque, H. Liu, S. barakovic, J.B. Husic, A. Kumcu, L. Platisa, M. Martini, R. Rodrigues, A. Pinheiro, M. Outtas, L. ZHANG, A. Skodras. “On the Subjective Assessment of the Perceived Quality of Medical Images and Videos”. QoMEX, May 29 – 31, 2018, Sardinia, Italy.
  19. M. Bichon, J. Le Tanou, M. Ropert, W. Hammidouche, L. Morin, L. Zhang. “Low Complexity Joint RDO of Prediction Units Couples for HEVC Intra Coding”. ICASSP, April 2018, Calgary, Alberta, Canada.
  20. S. Tian, L. Zhang, L. Morin, O. Deforges. “A full-reference Image Quality Assessment metric for 3D Synthesized Views”. Image Quality and System Performance Conference, at IS&T Electronic Imaging 2018, 28 January – 1 February 2018, Burlingame, California, USA. (Code: https://vaader-data.insa-rennes.fr/data/stian/ieeetom/Code_SCDM.zip)
  21. M. Outtas, L. Zhang, O. Deforges, A. Serir, W. Hammidouche. “Multi-output speckle reduction filter for ultrasound medical images based on multiplicative multiresolution decomposition”. ICIP, September 2017, Beijing, China.
  22. Q. Wang, L. Zhang, K. Kpalma. “Fast filtering-based temporal saliency detection using minimum barrier distance”. ICME2017W, July 2017, Hong Kong, China.
  23. T. Xu, L. Zhang, Y. Chen, H. Shu, L. Luo. “Quality Assessment Based on PCJO for Low-dose CT Images”. International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), June 2017, Xi’an, China.
  24. I. Saidi, L. Zhang, O. Deforges, V. Barriac. “Evaluation of single-artifact based video quality metrics in video communication context”. QoMEX, May 31 – June 2, 2017, Erfurt, Germany.
  25. M. Bichon, J. Le Tanou, M. Ropert, W. Hammidouche, L. Morin, L. Zhang. “Inter-block dependencies consideration for intra coding in H.264/AVC and HEVC standards”. ICASSP, March 2017, New Orleans, USA.
  26. S. Tian, L. Zhang, L. Morin, O. Deforges. “NIQSV: A No Reference Image Quality Assessment Metric for 3D Synthesized Views”. ICASSP, March 2017, New Orleans, USA. (Code: https://vaader-data.insa-rennes.fr/data/stian/ieeetom/Code_NIQSV.zip)
  27. M. Outtas, L. Zhang, O. Deforges, W. Hammidouche, A. Serir, C. Cavaro-Ménard. “A study on the usability of opinion-unaware no-reference natural image quality metrics in the context of medical images”. 8th International Symposium on signal, Image, Video and Communications, November 2016, Tunis, Tunisia.
  28. I. Saidi, L. Zhang, V. Barriac, O. Deforges. “Audiovisual quality study for videotelephony on IP networks”. IEEE Workshop on Multimedia Signal Processing (MMSP), September 2016, Montreal, Canada.
  29. I. Saidi, L. Zhang, O. Deforges, V. Barriac. “Evaluation of the performance of ITU-T G.1070 model for packet loss and desynchronization impairments”. QoMEX, June 2016, Lisbon, Portugal.
  30. I. Saidi, L. Zhang, O. Deforges, V. Barriac. “Interactive vs. non-interactive subjective evaluation of IP network impairments on audiovisual quality in videoconferencing context”. QoMEX, June 2016, Lisbon, Portugal.
  31. L. Zhang, C. Cavaro-Ménard, P. Le Callet, D. GE. “A multi-slice model observer for medical image quality assessment”. ICASSP, April 2015, Brisbane, Australia.
  32. T. Wang, H. Shu, H. Jia, B. Li, L. Zhang. “Blind Image Quality Assessment Using Natural Scene Statistics in the Gradient Domain”. Asia Modelling Symposium, September 2014, Kuala Lumpur, Malaysia.
  33. C. Cavaro-Ménard, L. Zhang, P. Le Callet. “QoE for Telemedicine: Challenges and Trends.” SPIE Optics + Photonics, August 2013, San Diego, USA.
  34. L. Zhang, C. Cavaro-Ménard, P. Le Callet. “Evaluation of HVS models in the application of medical image quality assessment.” IS&T/SPIE Electronic Imaging, January 2012, California, USA.
  35. L. Zhang, C. Cavaro-Ménard, P. Le Callet. “Key issues and specificities for the objective medical image quality assessment.” VPQM, January 2012, Scottsdale, Arizona, USA.
  36. L. Zhang, C. Cavaro-Ménard, P. Le Callet. “Using AUC to study perceptual difference model suitability for the detection task on MR image.” MIPS XIV Conference, August 2011, Dublin, Ireland. (Student scholar award)
  37. L. Zhang, C. Cavaro-Ménard, P. Le Callet. “The effects of anatomical information and observer expertise on abnormality detection task.” Proc. SPIE Medical Imaging, volume 7966, February 2011, San Diego, USA.
  38. C. Cavaro-Ménard, L. Zhang, P. Le Callet. “Diagnostic quality assessment of medical images : Challenges and trends.” 2nd European Workshop on Visual Information Processing (EUVIP), July 2010, Paris, France.

French Conferences

  1. I. Saidi, L. Zhang, O. Deforges, V. Barriac. “Evaluation de la qualité audiovisuelle des applications de visiophonie”. CORESA, May 2016, Nancy, France.
  2. M. Outtas, A. Serir, O. Deforges, L. Zhang. “Réduction de bruit multiplicatif dans les images ultrasons basées sur la décomposition multiplicative multiresolution (MMD)”. CORESA, May 2016, Nancy, France.
  3. M. Schmidt, C. Cavaro-Ménard, L. Zhang, J. Tanguy, Le Callet. “Evaluation par observateur numérique basé tâche de la qualité d’IRM compressées”. CORESA, May 2016, Nancy, France.
  4. L. Zhang, C. Cavaro-Ménard, P. Le Callet. “Pertinence des modèles du SVH pour la sensation et la perception des images médicales.” Gretsi, September 2013, Brest, France.
  5. L. Zhang, C. Cavaro-Ménard, P. Le Callet. “Modèle numérique pour l’évaluation objective de la qualité d’images médicales 2D.” Gretsi, September 2013, Brest, France.

PhD thesis

HDR report

Note: the source codes and the databases freely downloadable here are for Research Use Only, and not maintained. Please cite the corresponding paper when you use the codes or databases.