Jinman Kim

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 212

Top Venues

CoRR

EMBC

ISBI

IEEE J. Biomed. Health Informatics

Publications

Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. WSDM (2024)
Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim
Enhancing medical vision-language contrastive learning via inter-matching relation modelling. CoRR (2024)
Mingjian Li, Younhyun Jung, Michael J. Fulham, Jinman Kim
Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study. Virtual Real. Intell. Hardw. 6 (1) (2024)
Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CoRR (2024)
Saleha Masood, Saba Ghazanfar Ali, Xiangning Wang, Afifa Masood, Ping Li, Huating Li, Younhyun Jung, Bin Sheng, Jinman Kim
Deep choroid layer segmentation using hybrid features extraction from OCT images. Vis. Comput. 40 (4) (2024)
Lei Bi, Ulrich Buehner, Xiaohang Fu, Tom M. Williamson, Peter Choong, Jinman Kim
Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images. Comput. Methods Programs Biomed. 243 (2024)
Hao Wang, Euijoon Ahn, Jinman Kim
A multi-resolution self-supervised learning framework for semantic segmentation in histopathology. Pattern Recognit. 155 (2024)
Usman Naseem, Matloob Khushi, Adam G. Dunn, Jinman Kim
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Younhyun Jung, Jim Kong, Bin Sheng, Jinman Kim
A Transfer Function Design for Medical Volume Data Using a Knowledge Database Based on Deep Image and Primitive Intensity Profile Features Retrieval. J. Comput. Sci. Technol. 39 (2) (2024)
Ziyi Qi, Tingyao Li, Jun Chen, Jason C. Yam, Yang Wen, Gengyou Huang, Hua Zhong, Mingguang He, Dan Zhu, Rongping Dai, Bo Qian, Jingjing Wang, Chaoxu Qian, Wei Wang, Yanfei Zheng, Jian Zhang, Xianglong Yi, Zheyuan Wang, Bo Zhang, Chunyu Liu, Tianyu Cheng, Xiaokang Yang, Jun Li, Yan-Ting Pan, Xiaohu Ding, Ruilin Xiong, Yan Wang, Yan Zhou, Dagan Feng, Sichen Liu, Linlin Du, Jinliuxing Yang, Zhuoting Zhu, Lei Bi, Jinman Kim, Fangyao Tang, Yuzhou Zhang, Xiujuan Zhang, Haidong Zou, Marcus Ang, Clement C. Tham, Carol Y. Cheung, Chi Pui Pang, Bin Sheng, Xiangui He, Xun Xu
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. npj Digit. Medicine 7 (1) (2024)
Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim
Dual-modal Dynamic Traceback Learning for Medical Report Generation. CoRR (2024)
Ahmad Karambakhsh, Bin Sheng, Ping Li, Huating Li, Jinman Kim, Younhyun Jung, C. L. Philip Chen
SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Hao Wang, Euijoon Ahn, Jinman Kim
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement. CoRR (2024)
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification. CoRR (2023)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
Robust Identification of Figurative Language in Personal Health Mentions on Twitter. IEEE Trans. Artif. Intell. 4 (2) (2023)
Tian Xia, Xiaohang Fu, Michael J. Fulham, Yue Wang, David Feng, Jinman Kim
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations. J. Digit. Imaging 36 (6) (2023)
Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim
Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. DICTA (2023)
Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. EMBC (2023)
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, Jinman Kim
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. CoRR (2023)
Yuxin Xue, Lei Bi, Yige Peng, Michael J. Fulham, David Dagan Feng, Jinman Kim
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. CoRR (2023)
Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR (2023)
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
RHMD: A Real-World Dataset for Health Mention Classification on Reddit. IEEE Trans. Comput. Soc. Syst. 10 (5) (2023)
Haill An, Jinman Kim, Bin Sheng, Ping Li, Younhyun Jung
A transfer function optimization using visual saliency for region of interest-based direct volume rendering. Displays 80 (2023)
Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim
SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI. EMBC (2023)
Wenxiang Ding, Qiaoqiao Ding, Kewei Chen, Miao Zhang, Li Lv, David Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging. IEEE Trans. Medical Imaging 42 (10) (2023)
Xiaohang Fu, Ellis Patrick, Jean Y. H. Yang, David Dagan Feng, Jinman Kim
Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables. Comput. Biol. Medicine 154 (2023)
Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration. CoRR (2023)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. WSDM (2023)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. WWW (Companion Volume) (2023)
Wei-Chien Wang, Euijoon Ahn, David Feng, Jinman Kim
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. Mach. Intell. Res. 20 (4) (2023)
Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images. IEEE Trans. Cybern. 53 (6) (2023)
Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann
Editorial. Comput. Animat. Virtual Worlds 34 (1) (2023)
Anum Masood, Usman Naseem, Jinman Kim
Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases. EMBC (2023)
Lei Bi, Michael J. Fulham, Shaoli Song, David Dagan Feng, Jinman Kim
Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. EMBC (2023)
Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. CoRR (2023)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. MICCAI (10) (2023)
Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. MICCAI (7) (2023)
Yannik Kalbas, Hoijoon Jung, John Ricklin, Ge Jin, Mingjian Li, Thomas Rauer, Shervin Dehghani, Nassir Navab, Jinman Kim, Hans-Christoph Pape, Sandro-Michael Heining
Remote Interactive Surgery Platform (RISP): Proof of Concept for an Augmented-Reality-Based Platform for Surgical Telementoring. J. Imaging 9 (3) (2023)
Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim
Full-resolution MLPs Empower Medical Dense Prediction. CoRR (2023)
Shijia Zhou, Pradeeba Sridar, Narelle June Kennedy, Ann Quinton, Euijoon Ahn, Ralph Nanan, Jinman Kim
A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm. EMBC (2023)
Hao Wang, Euijoon Ahn, Jinman Kim
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images. CoRR (2023)
Abdulrhman H. Al-Jebrni, Saba Ghazanfar Ali, Huating Li, Xiao Lin, Ping Li, Younhyun Jung, Jinman Kim, David Dagan Feng, Bin Sheng, Lixin Jiang, Jing Du
SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images. Vis. Comput. 39 (8) (2023)
Mingxiao Tu, Hoijoon Jung, Alireza Moghadam, Jineel Raythatha, Jeremy Hsu, Jinman Kim
Exploring the Performance of Geometry-Based Markerless Registration in a Simulated Surgical Environment: A Comparative Study of Registration Algorithms in Medical Augmented Reality. EMBC (2023)
Ye Cai, Na Liu, Robin Huang, Kamal Sud, Jinman Kim
Predicting Remote Monitoring Patients' Non-compliance Behavior Through App-mediated Communications. HICSS (2023)
Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. CoRR (2023)
Ge Jin, Younhyun Jung, Jinman Kim
Challenges and Constraints in Deformation-Based Medical Mesh Representation. CGI (4) (2023)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. MICCAI (6) (2023)
Mingyuan Meng, Bingxin Gu, Michael J. Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. CoRR (2023)
Usman Naseem, Matloob Khushi, Jinman Kim
Vision-Language Transformer for Interpretable Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Lei Bi, M. Emre Celebi, Hitoshi Iyatomi, Pablo Fernandez-Penas, Jinman Kim
Image analysis in advanced skin imaging technology. Comput. Methods Programs Biomed. 238 (2023)
Hoijoon Jung, Younhyun Jung, Jinman Kim
Understanding the Capabilities of the HoloLens 1 and 2 in a Mixed Reality Environment for Direct Volume Rendering with a Ray-casting Algorithm. VR Workshops (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI (2022)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. IEEE Trans. Medical Imaging 41 (11) (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision. CoRR (2022)
Yige Peng, Jinman Kim, Dagan Feng, Lei Bi
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images. CoRR (2022)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259 (2022)
Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann
Special issue on computer graphics international 2022 part 1. Comput. Animat. Virtual Worlds 33 (5) (2022)
Younhyun Jung, Jim Kong, Jinman Kim
A Transfer Function Design Using A Knowledge Database based on Deep Image and Primitive Intensity Profile Features Retrieval. CoRR (2022)
Hoijoon Jung, Younhyun Jung, Michael J. Fulham, Jinman Kim
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization. CoRR (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning. CoRR (2022)
Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. WWW (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. CoRR (2022)
Ke Yan, Xiuying Wang, Jinman Kim, Wangmeng Zuo, Dagan Feng
Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Sofiane Zeghoud, Saba Ghazanfar Ali, Egemen Ertugrul, Aouaidjia Kamel, Bin Sheng, Ping Li, Xiaoyu Chi, Jinman Kim, Lijuan Mao
Real-time spatial normalization for dynamic gesture classification. Vis. Comput. 38 (4) (2022)
Lei Bi, Michael J. Fulham, Jinman Kim
Hyper-fusion network for semi-automatic segmentation of skin lesions. Medical Image Anal. 76 (2022)
Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images. Artif. Intell. Medicine 132 (2022)
Joyce Zhanzi Wang, Jonathon Lillia, Ashnil Kumar, Paula Bray, Jinman Kim, Joshua Burns, Tegan L. Cheng
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review. BMC Bioinform. 23 (1) (2022)
Lei Bi, Xiaohang Fu, Qiufang Liu, Shaoli Song, David Dagan Feng, Michael J. Fulham, Jinman Kim
Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features. CoRR (2022)
Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Huating Li, Guangtao Xue, Jing Qin, Jinman Kim, David Dagan Feng
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification. IEEE Trans. Image Process. 31 (2022)
Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. BMC Bioinform. 23 (1) (2022)
Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann
Editorial. Comput. Animat. Virtual Worlds 33 (6) (2022)
Usman Naseem, Byoung-Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. CoRR (2022)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. WWW (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. MICCAI (6) (2022)
Nadia Magnenat-Thalmann, Jinman Kim, George Papagiannakis, Daniel Thalmann, Bin Sheng
Computer graphics for metaverse. Virtual Real. Intell. Hardw. 4 (5) (2022)
Mingyuan Meng, Lei Bi, David Feng, Jinman Kim
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. BrainLes@MICCAI (2022)
Hao Wang, Euijoon Ahn, Jinman Kim
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. AAAI (2022)
Genevieve Coorey, Gemma A. Figtree, David F. Fletcher, Victoria J. Snelson, Stephen T. Vernon, David Winlaw, Stuart M. Grieve, Alistair McEwan, Jean Yee Hwa Yang, Pierre Qian, Kieran O'Brien, Jessica Orchard, Jinman Kim, Sanjay Patel, Julie Redfern
The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field. npj Digit. Medicine 5 (2022)
Xiaoya Qiao, Chunjuan Jiang, Panli Li, Yuan Yuan, Qinglong Zeng, Lei Bi, Shaoli Song, Jinman Kim, David Dagan Feng, Qiu Huang
Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim
Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI. CoRR (2022)
Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. IEEE J. Biomed. Health Informatics 26 (9) (2022)
Saba Ghazanfar Ali, Riaz Ali, Bin Sheng, Yan Chen, Huating Li, Po Yang, Ping Li, Younhyun Jung, Fang Zhu, Ping Lu, Jinman Kim
Experimental protocol designed to employ Nd: YAG laser surgery for anterior chamber glaucoma detection via UBM. IET Image Process. 16 (8) (2022)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. Pattern Recognit. 126 (2022)
Yu Zhou, Zhihua Chen, Bin Sheng, Ping Li, Jinman Kim, Enhua Wu
AFF-Dehazing: Attention-based feature fusion network for low-light image Dehazing. Comput. Animat. Virtual Worlds 32 (3-4) (2021)
Lei Bi, Michael J. Fulham, Nan Li, Qiufang Liu, Shaoli Song, David Dagan Feng, Jinman Kim
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation. Comput. Methods Programs Biomed. 203 (2021)
Aouaidjia Kamel, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng
Efficient Body Motion Quantification and Similarity Evaluation Using 3-D Joints Skeleton Coordinates. IEEE Trans. Syst. Man Cybern. Syst. 51 (5) (2021)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Euijoon Ahn, Dagan Feng, Jinman Kim
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. MICCAI (1) (2021)
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. IJCNN (2021)
Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI (2021)
Hao Wang, Euijoon Ahn, Jinman Kim
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation. CoRR (2021)
Mingyuan Meng, Xingyu Yang, Lei Bi, Jinman Kim, Shanlin Xiao, Zhiyi Yu
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. Neurocomputing 441 (2021)
Riaz Ali, Bin Sheng, Ping Li, Yan Chen, Huating Li, Po Yang, Younhyun Jung, Jinman Kim, C. L. Philip Chen
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening. IEEE Trans. Ind. Informatics 17 (4) (2021)
Euijoon Ahn, Dagan Feng, Jinman Kim
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. CoRR (2021)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. CoRR (2021)
Vishal Singh, Pradeeba Sridar, Jinman Kim, Ralph Nanan, N. Poornima, Shanmuga Priya, G. Sameera Reddy, Sathyabama Chandrasekaran, Ramarathnam Krishna Kumar
Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks. IEEE Access 9 (2021)
Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 8 (4) (2021)
Jihong Wang, Zhen Li, Saba Ghazanfar Ali, Bin Sheng, Ping Li, Xiaoyu Chi, Jinman Kim, Lijuan Mao
Dynamic Shadow Synthesis Using Silhouette Edge Optimization. CGI (2021)
Ke Yan, Xiuying Wang, Jinman Kim, Dagan Feng
A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection. IEEE Trans. Cybern. 51 (12) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jinman Kim