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4. A Dynamic Tracking Framework Based on Scene Perception

Author

Zhang, Jinpu, Li, Ziwen, Wang, Yuehuan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Qingshan, editor, Wang, Hanzi, editor, Ma, Zhanyu, editor, Zheng, Weishi, editor, Zha, Hongbin, editor, Chen, Xilin, editor, Wang, Liang, editor, and Ji, Rongrong, editor

Published
2024
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5. Half Aggregation Transformer for Exposure Correction

Author

Li, Ziwen, Zhang, Jinpu, Wang, Yuehuan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Qingshan, editor, Wang, Hanzi, editor, Ma, Zhanyu, editor, Zheng, Weishi, editor, Zha, Hongbin, editor, Chen, Xilin, editor, Wang, Liang, editor, and Ji, Rongrong, editor

Published
2024
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7. Situational Perception Guided Image Matting

Author

Xu, Bo, Xie, Jiake, Huang, Han, Li, Ziwen, Lu, Cheng, Tang, Yong, and Guo, Yandong

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computation and Language
Abstract

Most automatic matting methods try to separate the salient foreground from the background. However, the insufficient quantity and subjective bias of the current existing matting datasets make it difficult to fully explore the semantic association between object-to-object and object-to-environment in a given image. In this paper, we propose a Situational Perception Guided Image Matting (SPG-IM) method that mitigates subjective bias of matting annotations and captures sufficient situational perception information for better global saliency distilled from the visual-to-textual task. SPG-IM can better associate inter-objects and object-to-environment saliency, and compensate the subjective nature of image matting and its expensive annotation. We also introduce a textual Semantic Transformation (TST) module that can effectively transform and integrate the semantic feature stream to guide the visual representations. In addition, an Adaptive Focal Transformation (AFT) Refinement Network is proposed to adaptively switch multi-scale receptive fields and focal points to enhance both global and local details. Extensive experiments demonstrate the effectiveness of situational perception guidance from the visual-to-textual tasks on image matting, and our model outperforms the state-of-the-art methods. We also analyze the significance of different components in our model. The code will be released soon., Comment: 14 pages, 8 figures

Published
2022

14. Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation

Author

Li, Ziwen, Xu, Bo, Huang, Han, Lu, Cheng, and Guo, Yandong

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Several video-based 3D pose and shape estimation algorithms have been proposed to resolve the temporal inconsistency of single-image-based methods. However it still remains challenging to have stable and accurate reconstruction. In this paper, we propose a new framework Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation (DTS-VIBE), to generate 3D human pose and mesh from RGB videos. We reformulate the task as a multi-modality problem that fuses RGB and optical flow for more reliable estimation. In order to fully utilize both sensory modalities (RGB or optical flow), we train a two-stream temporal network based on transformer to predict SMPL parameters. The supplementary modality, optical flow, helps to maintain temporal consistency by leveraging motion knowledge between two consecutive frames. The proposed algorithm is extensively evaluated on the Human3.6 and 3DPW datasets. The experimental results show that it outperforms other state-of-the-art methods by a significant margin., Comment: Accepted by WACV2022

Published
2021

15. Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction

Author

Xu, Bo, Huang, Han, Lu, Cheng, Li, Ziwen, and Guo, Yandong

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Most existing human matting algorithms tried to separate pure human-only foreground from the background. In this paper, we propose a Virtual Multi-modality Foreground Matting (VMFM) method to learn human-object interactive foreground (human and objects interacted with him or her) from a raw RGB image. The VMFM method requires no additional inputs, e.g. trimap or known background. We reformulate foreground matting as a self-supervised multi-modality problem: factor each input image into estimated depth map, segmentation mask, and interaction heatmap using three auto-encoders. In order to fully utilize the characteristics of each modality, we first train a dual encoder-to-decoder network to estimate the same alpha matte. Then we introduce a self-supervised method: Complementary Learning(CL) to predict deviation probability map and exchange reliable gradients across modalities without label. We conducted extensive experiments to analyze the effectiveness of each modality and the significance of different components in complementary learning. We demonstrate that our model outperforms the state-of-the-art methods., Comment: Accepted by ICCV2021

Published
2021

16. Machine Learning for Myocardial Infarction Compared With Guideline-Recommended Diagnostic Pathways

Author

Boeddinghaus, Jasper, Doudesis, Dimitrios, Lopez-Ayala, Pedro, Lee, Kuan Ken, Koechlin, Luca, Wildi, Karin, Nestelberger, Thomas, Borer, Raphael, Miró, Òscar, Martin-Sanchez, F. Javier, Strebel, Ivo, Rubini Giménez, Maria, Keller, Dagmar I., Christ, Michael, Bularga, Anda, Li, Ziwen, Ferry, Amy V., Tuck, Chris, Anand, Atul, Gray, Alasdair, Mills, Nicholas L., Mueller, Christian, Richards, A. Mark, Pemberton, Chris, Troughton, Richard W., Aldous, Sally J., Brown, Anthony F.T., Dalton, Emily, Hammett, Chris, Hawkins, Tracey, O’Kane, Shanen, Parke, Kate, Ryan, Kimberley, Schluter, Jessica, Barker, Stephanie, Blades, Jennifer, Chapman, Andrew R., Fujisawa, Takeshi, Kimenai, Dorien M., McDermott, Michael, Newby, David E., Schulberg, Stacey D., Shah, Anoop S.V., Sorbie, Andrew, Soutar, Grace, Strachan, Fiona E., Taggart, Caelan, Vicencio, Daniel Perez, Wang, Yiqing, Wereski, Ryan, Williams, Kelly, Weir, Christopher J., Berry, Colin, Reid, Alan, Maguire, Donogh, Collinson, Paul O., Sandoval, Yader, Smith, Stephen W., Wussler, Desiree, Muench-Gerber, Tamar, Glaeser, Jonas, Spagnuolo, Carlos, Huré, Gabrielle, Gehrke, Juliane, Puelacher, Christian, Gualandro, Danielle M., Shrestha, Samyut, Kawecki, Damian, Morawiec, Beata, Muzyk, Piotr, Buergler, Franz, Buser, Andreas, Rentsch, Katharina, Twerenbold, Raphael, López, Beatriz, Martinez-Nadal, Gemma, Adrada, Esther Rodriguez, Parenica, Jiri, and von Eckardstein, Arnold

Published
2024
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19. Uniform or Sex-Specific Cardiac Troponin Thresholds to Rule Out Myocardial Infarction at Presentation

Author

Mills, Nicholas L., Strachan, Fiona E., Tuck, Christopher, Anand, Atul, Akinlade, Olawale Mathias, Barker, Stephanie, Blades, Jennifer, Boeddinghaus, Jasper, Bularga, Anda, de Bakker, Marie, Chapman, Andrew R., Doudesis, Dimitrios, Ferry, Amy V., Fujisawa, Takeshi, Georgiev, Konstantin, Kimenai, Dorien M., Lee, Kuan Ken, Lyell, Iona, Li, Ziwen, Lowry, Matthew TH., McKinlay, Lynn, McDermott, Michael, McPherson, Jean, Mendusic, Filip, Sorbie, Andrew, Souter, Grace, Schulberg, Stacey D., Taggart, Caelan, Thurston, Alexander JF., Tew, Yong Yong, Perez-Vicencio, Daniel, Wang, Yiqing, Wereski, Ryan, Williams, Kelly, Newby, David E., Fox, Keith AA., Berry, Colin, Walker, Simon, Weir, Christopher J., Ford, Ian, Gray, Alasdair, Collinson, Paul O., Apple, Fred S., Reid, Alan, Cruikshank, Anne, Findlay, Iain, Amoils, Shannon, McAllister, David A., Maguire, Donogh, Stevens, Jennifer, Norrie, John, Shah, Anoop SV., Andrews, Jack PM., Adamson, Philip D., Moss, Alastair, Anwar, Mohamed S., Hung, John, Malo, Jonathan, Fischbacher, Colin M., Croal, Bernard L., Leslie, Stephen J., Keerie, Catriona, Parker, Richard A., Walker, Allan, Harkess, Ronnie, Wackett, Tony, Weir, Christopher, Armstrong, Roma, Stirling, Laura, MacDonald, Claire, Sadat, Imran, Finlay, Frank, Harrison, Kathy, Linksted, Pamela, Lavenberg, Stephen, Lowry, Matthew T.H., Tuck, Chris, and Shah, Anoop S.V.

Published
2024
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24. Research on evaporation and humidification characteristics of spray water curtain in heading face

Author

YAN Jingjing, WANG Fei, LI Yucheng, LIU Hongwei, GAO Yabin, and LI Ziwen

Subjects
spray water curtain, evaporation of droplet, humidification characteristics, relative humidity, moisture removal efficiency, Mining engineering. Metallurgy, TN1-997
Abstract

To study the effect of evaporation and humidification characteristics of spray water curtain on the relative humidity of the tunnel, the calculation model for relative humidity was established in the spray space. The effect of different control parameters on the humidity in the tunnel was explored based on numerical simulation. The results show that the mathematical model of spray droplet evaporation and humidification can effectively predict the relative humidity of roadway; the spray flow rate and atomization pressure, the air supply volume of the air duct, the ambient temperature, and humidity all contributed significantly to the relative humidity of the tunnel. By optimizing the parameters, it is possible to not only reduce the effective range of spray humidification on tunnel humidity but to also improve the moisture removal efficiency after spraying.

Published
2023
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25. Uniform or Sex-Specific Cardiac Troponin Thresholds to Rule Out Myocardial Infarction at Presentation

Author

Li, Ziwen, primary, Wereski, Ryan, additional, Anand, Atul, additional, Lowry, Matthew T.H., additional, Doudesis, Dimitrios, additional, McDermott, Michael, additional, Ferry, Amy V., additional, Tuck, Chris, additional, Chapman, Andrew R., additional, Lee, Kuan Ken, additional, Shah, Anoop S.V., additional, Mills, Nicholas L., additional, Kimenai, Dorien M., additional, Strachan, Fiona E., additional, Tuck, Christopher, additional, Akinlade, Olawale Mathias, additional, Barker, Stephanie, additional, Blades, Jennifer, additional, Boeddinghaus, Jasper, additional, Bularga, Anda, additional, de Bakker, Marie, additional, Fujisawa, Takeshi, additional, Georgiev, Konstantin, additional, Lyell, Iona, additional, Li, Ziwen, additional, Lowry, Matthew TH., additional, McKinlay, Lynn, additional, McPherson, Jean, additional, Mendusic, Filip, additional, Sorbie, Andrew, additional, Souter, Grace, additional, Schulberg, Stacey D., additional, Taggart, Caelan, additional, Thurston, Alexander JF., additional, Tew, Yong Yong, additional, Perez-Vicencio, Daniel, additional, Wang, Yiqing, additional, Williams, Kelly, additional, Newby, David E., additional, Fox, Keith AA., additional, Berry, Colin, additional, Walker, Simon, additional, Weir, Christopher J., additional, Ford, Ian, additional, Gray, Alasdair, additional, Collinson, Paul O., additional, Apple, Fred S., additional, Reid, Alan, additional, Cruikshank, Anne, additional, Findlay, Iain, additional, Amoils, Shannon, additional, McAllister, David A., additional, Maguire, Donogh, additional, Stevens, Jennifer, additional, Norrie, John, additional, Shah, Anoop SV., additional, Andrews, Jack PM., additional, Adamson, Philip D., additional, Moss, Alastair, additional, Anwar, Mohamed S., additional, Hung, John, additional, Malo, Jonathan, additional, Fischbacher, Colin M., additional, Croal, Bernard L., additional, Leslie, Stephen J., additional, Keerie, Catriona, additional, Parker, Richard A., additional, Walker, Allan, additional, Harkess, Ronnie, additional, Wackett, Tony, additional, Weir, Christopher, additional, Armstrong, Roma, additional, Stirling, Laura, additional, MacDonald, Claire, additional, Sadat, Imran, additional, Finlay, Frank, additional, Harrison, Kathy, additional, Linksted, Pamela, additional, and Lavenberg, Stephen, additional

Published
2024
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33. Transcriptomic Heterogeneity of Gleason Grade Group 5 Prostate Cancer

Author

Kishan, Amar U, Romero, Tahmineh, Alshalalfa, Mohammed, Liu, Yang, Tran, Phuoc T, Nickols, Nicholas G, Ye, Huihui, Sajed, Dipti, Rettig, Matthew B, Reiter, Robert E, Garraway, Isla P, Spratt, Daniel E, Freedland, Steven J, Zhao, Xin, Li, Ziwen, Deek, Matthew, Livingstone, Julie, Mahal, Brandon A, Nguyen, Paul L, Feng, Felix Y, Den, Robert B, Schaeffer, Edward M, Lotan, Tamara L, Karnes, R Jeffrey, Klein, Eric A, Ross, Ashley E, Grogan, Tristan, Davicioni, Elai, Elashoff, David, Boutros, Paul C, and Weidhaas, Joanne B

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Cancer, Prostate Cancer, Aging, Biotechnology, Clinical Trials and Supportive Activities, Genetics, Human Genome, Clinical Research, Urologic Diseases, Aetiology, 2.1 Biological and endogenous factors, Aged, Cohort Studies, Genetic Variation, Humans, Male, Middle Aged, Neoplasm Grading, Prostatic Neoplasms, Transcriptome, Gleason grade group 5, Gleason score 9, Gleason score 10, Biomarkers, Transcriptomics, Urology & Nephrology, Clinical sciences
Abstract

Gleason grade group (GG) 5 prostate cancer has been associated with an aggressive natural history, and retrospective data support a role for treatment intensification. However, clinical outcomes remain heterogeneous in this cohort, and intensified treatments carry an increased risk of adverse events. We sought to explore the transcriptomic heterogeneity of GG 5 tumors by querying transcriptomic data from the tumors of 2138 patients with GG 5 disease who underwent prostatectomy. Four distinct consensus clusters were identified with respect to differential transcriptional activation of hallmark pathways, with distinct molecular subtyping profiles and different average genomic risks (AGRs). One cluster, accounting for 325 tumors (15.2% of the population), was enriched for genes related to the cell cycle/proliferation, metabolic pathways, androgen response pathways, and DNA repair, and had a higher AGR than the other clusters (p

Published
2020

34. Molecular simulation of adsorption thermodynamic properties of CH4 and CO2 at different temperature and moisture content conditions

Author

LI Ziwen, BAI Yansong, YU Hongjin, and GAO Yabin

Subjects
moisture content, molecular simulation, co2 displacing ch4, adsorption heat, adsorption potential, Mining engineering. Metallurgy, TN1-997
Abstract

In order to further clarify the adsorption thermodynamic characteristics of CH4 and CO2 in coal, the giant canonical ensemble Monte Carlo method was used to simulate the adsorption behavior of CH4 and CO2 in coal at different temperatures and different moisture content. The results show that the adsorption capacity of CH4 and CO2 in coal molecules decreases with the increasing temperature and moisture content. By comparing the adsorption amounts of the two components, it is found that both high temperature and the presence of water molecules are not conducive to displace CH4 by CO2; the average adsorption heat of CH4 is negatively correlated with temperature and water content, and average adsorption heat of CO2 has a negative correlation with temperature and a positive correlation with water content. Water molecules are more inclined to react with CO2; the overall adsorption potential of CH4 and CO2 is negatively correlated with temperature and moisture content. When the pressure is low, the adsorption potential of CO2 increases slightly with the increasing of temperature; the adsorption entropy of CH4 and CO2 increases with the increasing of temperature and decreases with the increasing of moisture content. The influence of water on CO2 is stronger than CH4. When two components are injected, the existence of water molecules makes the whole system more stable, which is not conducive to CH4 output.

Published
2022
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40. Supplementary Data 1 from Infiltrative Vessel Co-optive Growth Pattern Induced by IQGAP3 Overexpression Promotes Microvascular Invasion in Hepatocellular Carcinoma

Author

Tang, Miaoling, primary, Zhang, Shuxia, primary, Yang, Meisongzhu, primary, Feng, Rongni, primary, Lin, Jinbin, primary, Chen, Xiaohong, primary, Xu, Yingru, primary, Yu, Ruyuan, primary, Liao, Xinyi, primary, Li, Ziwen, primary, Li, Xincheng, primary, Li, Man, primary, Zhang, Qiliang, primary, Chen, Suwen, primary, Qian, Wanying, primary, Liu, Yuanji, primary, Song, Libing, primary, and Li, Jun, primary

Published
2024
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41. Data from Infiltrative Vessel Co-optive Growth Pattern Induced by IQGAP3 Overexpression Promotes Microvascular Invasion in Hepatocellular Carcinoma

Author

Tang, Miaoling, primary, Zhang, Shuxia, primary, Yang, Meisongzhu, primary, Feng, Rongni, primary, Lin, Jinbin, primary, Chen, Xiaohong, primary, Xu, Yingru, primary, Yu, Ruyuan, primary, Liao, Xinyi, primary, Li, Ziwen, primary, Li, Xincheng, primary, Li, Man, primary, Zhang, Qiliang, primary, Chen, Suwen, primary, Qian, Wanying, primary, Liu, Yuanji, primary, Song, Libing, primary, and Li, Jun, primary

Published
2024
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48. Role of transcription factor Pax6 in the development of the ventral lateral geniculate nucleus

Author

Li, Ziwen, Price, David, Pratt, Thomas, and Manuel, Martine

Subjects
612.8, Pax6, Diencephalon, Thalamus, ventral lateral geniculate nucleus
Abstract

The development of the diencephalon can be summarised as a process in which cells that initially appear similar give rise to a complex structure that contains a variety of cell groups called nuclei. It involves two stages: the early patterning of the diencephalic prosomeres and the later formation of the individual nuclei. It has been shown that transcription factors and morphogens regulate the first stage but their further effects on the second stage remain unclear. The ventral lateral geniculate nucleus (vLGN) is involved in the visual system and is shown to have complex origins from the thalamus, the zona limitans intrathalamica (ZLI) and the prethalamus. The transcription factor Pax6 is involved in the development of brain structures including the cortex, the diencephalon and the major axonal tracts in the forebrain by playing a multifaceted role in patterning, proliferation, differentiation, migration and axon guidance. It is known that Pax6 is essential in setting up the prosomeric boundaries in the developing diencephalon but its role in the formation of individual nuclei has not yet been explored. By using a conditional Pax6 knock-out mouse driven by Zic4Cre with a green fluorescent protein (GFP) reporter showing the Cre activity, the formation of the thalamic nuclei vLGN, dorsal lateral geniculate nucleus (dLGN) and VP (ventral posterior nuclei) was examined in postnatal day 0 (P0) Pax6+/+, Pax6fl/+ and Pax6fl/fl pups. Using this mouse model, I found an increase in nuclear volume at the rostral level and a global decrease in cell density in the P0 Pax6fl/fl vLGN, whereas in the dLGN an increase of GFP+ve cell proportion was observed. In Pax6fl/+, I found an increase in GFP+ve cell proportion in the caudal part of the vLGN and across the dLGN. No significant change was observed in the VP in either the Pax6fl/+ or the Pax6fl/fl. The defects in the vLGN and dLGN could be caused by: 1. disruption of the expression of patterning factors such as Shh and Nkx2.2; 2. cell proliferation defcts and abnormal apoptosis; 3. ocular developmental defects; 4. failure in cell sorting/migration; 5. cell fate change. During my PhD, I tested the first three theories and explored the fourth but was not able to pursue the last due to the time limit of the project. To test the hypothesized mechanisms underlying those defects seen in the vLGN and dLGN, I performed BrdU labelling to study the time origin of cells that contribute to these two nuclei and discovered that E11.5 and E12.5 are the main ages when these cells and the GFP+ve subpopulation are born. Then I carried out experiments to examine the cell proliferation and cell apoptosis in the thalamus (pTH-R, rostral part of the progenitor zone of the thalamus, and pTH-C, caudal part of the progenitor zone of the thalamus) and the prethalamus (Pth) from E11.5 to E13.5 and found: 1. the proliferation rate decreased in the pTH-R in Pax6fl/+ at E11.5; 2. the growth fraction decreased in both pTH-C and pTH-R in E12.5 Pax6fl/fl; 3. there is no change in cell proliferation in the GFP+ve subpopulation; 4. no abnormal apoptosis is observed in either the whole cell population or the GFP+ve subpopulation. Judging by the amplitude of the change in proliferation in the pTH-R and pTH-C at E11.5 and E12.5, it is unlikely that these changes alone are responsible for the phenotypes seen in P0 vLGN and dLGN. Then I examined the expression patterns of Shh and Nkx2.2 and the expansion of both was observed in Pax6fl/fl at both E12.5 and E13.5, which could explain the volume change of the vLGN but not the change in the proportion of GFP+ve subpopulation in both the vLGN and dLGN. Then I continued to examine if the ocular input from the retinal ganglionic cells are severely affected by the deletion of Pax6 and found no gross change in the conditional mutants, which rejected the ocular developmental defects theory. At the end of my PhD, I performed a BrdU short-term survival experiment and a brain slice culture combined with live imaging experiment to explore the possibility of abnormal cell migration causing the vLGN and dLGN phenotypes and found that the cells moving along the border of the thalamus and prethalamus move faster in the Pax6fl/fl than in the Pax6fl/+, but rather than moving directly toward the lateral surface of the diencephalon, they take a detour. These findings indicate that the deletion of Pax6 causes minor changes in the proliferation of E11.5 to E13.5 diencephalon and expansion of regional marker expression such as Shh and Nkx2.2, which could potenially affect the volume and change the proportion of GFP+ve cells in P0 vLGN and dLGN. Migration defects caused by Pax6 could also contribute to the phenotype observed in those two nuclei. Potential cell fate change caused by Pax6 deletion could be another factor that contributes to the defects in the conditional mutants. More work needs to be done to test the migration defect and cell fate change hypotheses in future.

Published
2018

50. Molecular simulation of CO2/N2 injection on CH4 adsorption and diffusion.

Author

Li, Ziwen, Hu, Hongqing, Wang, Yinji, Gao, Yabin, Yan, Fazhi, Bai, Yansong, and Yu, Hongjin

Subjects
*GREENHOUSE gas mitigation, *COAL combustion, *GREENHOUSE gases, *GEOLOGICAL carbon sequestration, *COALBED methane, *GAS mixtures, *GAS injection, *ENERGY conservation
Abstract

As an efficient and clean energy, coalbed methane development and utilization have deep significance in promoting energy conservation and emission reduction, reducing greenhouse gas emissions. Therefore, molecular simulation was utilized to study the influence of N2/CO2 on the adsorption and diffusion of methane in coal under different gas injection methods and to elucidate the influence of varying gas injection methods on the efficiency of coalbed methane extraction, which provides a basis for the efficient development of coalbed methane. The results show that the adsorption effect of gases in coal decreases with the increase of temperature and increases with the rise of pressure, and the adsorption performance of the three gases in coal shows the law of CO2 > CH4 > N2. In addition, the injection of CO2/N2 had an obvious inhibition effect on CH4 adsorption, and the inhibition effect of CO2 was more significant, and the inhibition effect on CH4 adsorption reached the maximum when the two gases were mixture injected. In terms of diffusion, compared with separate injection, mixed injection of N2 + CO2 promotes CH4 diffusion more effectively, which can be reflected in the relative concentration distribution and velocity distribution. The injection of N2 helps to increase the porosity of coal, and the injection of CO2 and N2 + CO2 will lead to the decrease of porosity, but the mixed gas injection has less effect than the injection of CO2 alone. [ABSTRACT FROM AUTHOR]

Published
2024
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