A fully statistical framework for shape detection in image primitives. - Jingyong Su; Zhiqiang Zhu; Anuj Srivastava; Fred W. Huffer (CVPR Workshops, 2010)

Detection of Shapes in 2D Point Clouds Generated from Images. - Jingyong Su; Zhiqiang Zhu; Anuj Srivastava; Fred W. Huffer (ICPR, 2010)

Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds. - Jingyong Su; Ian L. Dryden; Eric Klassen; Huiling Le; Anuj Srivastava (Image Vis. Comput., 2012)

Joint Registration and Shape Analysis of Curves and Surfaces. - Jingyong Su; Sebastian Kurtek; Anuj Srivastava (Shape Perception in Human and Computer Vision, 2013)

Rate-invariant comparisons of covariance paths for visual speech recognition. - Jingyong Su; Anuj Srivastava; Fillipe D. M. de Souza; Sudeep Sarkar (NCVPRIPG, 2013)

Detection, classification and estimation of individual shapes in 2D and 3D point clouds. - Jingyong Su; Anuj Srivastava; Fred W. Huffer (Comput. Stat. Data Anal., 2013)

Statistical analysis of manual segmentations of structures in medical images. - Sebastian Kurtek; Jingyong Su; Cindy Grimm; Michelle Vaughan; Ross T. Sowell; Anuj Srivastava (Comput. Vis. Image Underst., 2013)

Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition. - Jingyong Su; Anuj Srivastava; Fillipe D. M. de Souza; Sudeep Sarkar (CVPR, 2014)

Shape Estimation from 3D Point Clouds. - Jingyong Su; Lin-Lin Tang (ECC (1), 2014)

Pattern Theory-Based Interpretation of Activities. - Fillipe D. M. de Souza; Sudeep Sarkar; Anuj Srivastava; Jingyong Su (ICPR, 2014)

Elastic functional coding of human actions: From vector-fields to latent variables. - Rushil Anirudh; Pavan K. Turaga; Jingyong Su; Anuj Srivastava (CVPR, 2015)

Temporally coherent interpretations for long videos using pattern theory. - Fillipe D. M. de Souza; Sudeep Sarkar; Anuj Srivastava; Jingyong Su (CVPR, 2015)

Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories. - Zhengwu Zhang; Jingyong Su; Eric Klassen; Huiling Le; Anuj Srivastava (CoRR, 2015)

Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories. - Boulbaba Ben Amor; Jingyong Su; Anuj Srivastava (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Pattern theory for representation and inference of semantic structures in videos. - Fillipe D. M. de Souza; Sudeep Sarkar; Anuj Srivastava; Jingyong Su (Pattern Recognit. Lett., 2016)

Spatially Coherent Interpretations of Videos Using Pattern Theory. - Fillipe D. M. de Souza; Sudeep Sarkar; Anuj Srivastava; Jingyong Su (Int. J. Comput. Vis., 2017)

Elastic Functional Coding of Riemannian Trajectories. - Rushil Anirudh; Pavan K. Turaga; Jingyong Su; Anuj Srivastava (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Rate-Invariant Analysis of Covariance Trajectories. - Zhengwu Zhang; Jingyong Su; Eric Klassen; Huiling Le; Anuj Srivastava (J. Math. Imaging Vis., 2018)

Application Research of Ripley's K-function in Point Cloud Data Shape Analysis. - Linlin Tang; Xupeng Tong; Jingyong Su (ICGEC, 2019)

A distance weighted linear regression classifier based on optimized distance calculating approach for face recognition. - Lin-Lin Tang; Huifen Lu; Zhen Pang; Zhangyan Li; Jingyong Su (Multim. Tools Appl., 2019)

Kernel nearest-farthest subspace classifier for face recognition. - Lin-Lin Tang; Zuohua Li; Jingyong Su; Huifen Lu; Zhangyan Li; Zhen Pang; Yong Zhang 023 (Multim. Tools Appl., 2019)

A Riemannian Framework for Detecting Stimulus-Relevant Fiber Pathways. - Mengmeng Guo; Jingyong Su; Zhipeng Yang; Linlin Tang; Zhaohua Ding (ICPR, 2020)

A Labeling Method for Financial Time Series Prediction Based on Trends. - Dingming Wu 004; Xiaolong Wang 001; Jingyong Su; Buzhou Tang; Shaocong Wu (Entropy, 2020)

MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms. - Xiaoling Luo 001; Zuhui Pu; Yong Xu 001; Wai Keung Wong; Jingyong Su; Xiaoyan Dou; Baikang Ye; Jiying Hu; Lisha Mou (Pattern Recognit., 2021)

Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering. - Yongyong Chen; Shuqin Wang 001; Jingyong Su; Junxin Chen 001 (ICDM, 2022)

A Riemannian Framework for Functional Clustering of Whole Brain White Matter Fibers. - Yi Zhao 018; Jingyong Su; Zhipeng Yang; Zhaohua Ding (ISBI, 2022)

A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling. - Junyao Ye; Jingyong Su; Yilong Cao (KDD, 2022)

Statistical analysis of the community lockdown for COVID-19 pandemic. - Shaocong Wu; Xiaolong Wang 001; Jingyong Su (Appl. Intell., 2022)

Transformer-based Cross Reference Network for video salient object detection. - Kan Huang; Chunwei Tian; Jingyong Su; Jerry Chun-Wei Lin (Pattern Recognit. Lett., 2022)

Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency. - Yang Yang 002; Ruixuan Wang; Tong Zhang 017; Jingyong Su (BIBM, 2023)

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. - Bohao Peng; Zhuotao Tian; Xiaoyang Wu 002; Chengyao Wang; Shu Liu 005; Jingyong Su; Jiaya Jia (CVPR, 2023)

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. - Zhuofan Zong; Dongzhi Jiang; Guanglu Song; Zeyue Xue; Jingyong Su; Hongsheng Li 001; Yu Liu 015 (ICCV, 2023)

RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy. - Xiaoling Luo 001; Honggang Zhang; Jingyong Su; Wai Keung Wong; Jinkai Li; Yong Xu 001 (Comput. Biol. Medicine, 2023)

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. - Bohao Peng; Zhuotao Tian; Xiaoyang Wu 002; Chenyao Wang; Shu Liu 005; Jingyong Su; Jiaya Jia (CoRR, 2023)

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract. - Bohao Peng; Zhuotao Tian; Xiaoyang Wu 002; Chengyao Wang; Shu Liu 005; Jingyong Su; Jiaya Jia (CoRR, 2023)

A deep transfer learning network for structural condition identification with limited real-world training data. - Nengxin Bao; Tong Zhang 017; Ruizhi Huang; Suryakanta Biswal; Jingyong Su; Ying Wang 025 (CoRR, 2023)

Cross-Scale-Guided Fusion Transformer for Disaster Assessment Using Satellite Imagery. - Weiwei Xiao; Jingyong Su; Yongyong Chen; Guofeng Cao (IEEE Trans. Geosci. Remote. Sens., 2023)

Multi-Attention Feature Fusion Network for Accurate Estimation of Finger Kinematics From Surface Electromyographic Signals. - Weiyu Guo; Ning Jiang 001; Dario Farina; Jingyong Su; Zheng Wang 027; Chuang Lin 001; Hui Xiong 001 (IEEE Trans. Hum. Mach. Syst., 2023)

Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor. - Xuanqi Zhang; Qiangqiang Shen; Yongyong Chen; Guokai Zhang; Zhongyun Hua; Jingyong Su (ACM Trans. Knowl. Discov. Data, 2023)

A Riemannian Framework for Structurally Curated Functional Clustering of Brain White Matter Fibers. - Yi Zhao 018; Zhipeng Yang; Zhaohua Ding; Jingyong Su (IEEE Trans. Medical Imaging, 2023)

Two-Person Graph Convolutional Network for Skeleton-Based Human Interaction Recognition. - Zhengcen Li; Yueran Li; Linlin Tang; Tong Zhang 017; Jingyong Su (IEEE Trans. Circuits Syst. Video Technol., 2023)

Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory. - Jingyong Su; Junyao Ye; Liqiang Nie; Yilong Cao; Yongyong Chen (IEEE Trans. Knowl. Data Eng., 2023)

A Malicious Domains Detection Method Based on File Sandbox Traffic. - Daojing He; Jiayu Dai; Hongjie Gu; Shanshan Zhu; Sammy Chan; Jingyong Su; Mohsen Guizani (IEEE Netw., 2023)

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection. - Weiwei Xiao; Yongyong Chen; Qiben Shan; Yaowei Wang; Jingyong Su (AAAI, 2024)

MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results. - Yaqi Wu; Zhihao Fan; Xiaofeng Chu; Jimmy S. Ren; Xiaoming Li 002; Zongsheng Yue; Chongyi Li; Shangcheng Zhou; Ruicheng Feng; Yuekun Dai; Peiqing Yang 001; Chen Change Loy; et al. (CVPR Workshops, 2024)

Skeleton-Based Group Activity Recognition via Spatial-Temporal Panoramic Graph. - Zhengcen Li; Xinle Chang; Yueran Li; Jingyong Su (ECCV (59), 2024)

Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation. - Tong Shao; Zhuotao Tian; Hang Zhao; Jingyong Su (ECCV (86), 2024)

SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging. - Haijin Zeng; Yuxi Liu; Yongyong Chen; Youfa Liu; Chong Peng 001; Jingyong Su (ECCV (64), 2024)

Typicalness-Aware Learning for Failure Detection. - Yijun Liu; Jiequan Cui; Zhuotao Tian; Senqiao Yang; Qingdong He; Xiaoling Wang; Jingyong Su (NeurIPS, 2024)

Class-Agnostic Detection of Unknown Objects from Foreground Improves Robust Open World Object Detection. - Rui Zhao; Jinghua Wang; Yongyong Chen; Zimu Zheng; Kai Cui; Jingyong Su (PRCV (12), 2024)

Double High-Order Correlation Preserved Robust Multi-View Ensemble Clustering. - Xiaojia Zhao; Tingting Xu; Qiangqiang Shen; Youfa Liu; Yongyong Chen; Jingyong Su (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Tensor Learning Meets Dynamic Anchor Learning: From Complete to Incomplete Multiview Clustering. - Yongyong Chen; Xiaojia Zhao; Zheng Zhang 006; Youfa Liu; Jingyong Su; Yicong Zhou (IEEE Trans. Neural Networks Learn. Syst., 2024)

Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks. - Haijin Zeng; Xiangming Wang; Yongyong Chen; Jingyong Su; Jie Liu (CVPR, 2025)

Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing. - Shiyang Zhou; Haijin Zeng; Yunfan Lu; Tong Shao; Ke Tang; Yongyong Chen; Jie Liu; Jingyong Su (CVPR, 2025)

C2AD: Dual Consistency Learning for Zero-Shot Anomaly Detection. - Xiaoling Wang; Ruilong Xing; Zhuotao Tian; Yijun Liu; Senqiao Yang; Yaowei Wang; Jingyong Su (ICASSP, 2025)

Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement. - Haijin Zeng; Benteng Sun; Yongyong Chen; Jingyong Su; Yong Xu 001 (ICLR, 2025)

Decomposition of high-density sEMG signals: Extracting multiple spikes from single time windows. - Xi Jiang; Weiyu Guo; Ziwei Cui; Chuang Lin 001; Jingyong Su (Biomed. Signal Process. Control., 2025)

Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation. - Yang Yang 002; Guoying Sun; Tong Zhang 017; Ruixuan Wang; Jingyong Su (Medical Image Anal., 2025)

Transformer-based material recognition via short-time contact sensing. - Zhenyang Liu; Yitian Shao; Qiliang Li; Jingyong Su (Pattern Recognit., 2025)

Advancing CAN Network Security through RBM-Based Synthetic Attack Data Generation for Intrusion Detection Systems. - Huacheng Li; Jingyong Su; Kai Wang (CoRR, 2025)

KAN or MLP? Point Cloud Shows the Way Forward. - Yan Shi; Qingdong He; Yijun Liu; Xiaoyu Liu; Jingyong Su (CoRR, 2025)

Smooth Tensor Qatar Riyal Decomposition for Dynamic MRI Reconstruction. - Tingting Xu; Yongyong Chen; Haijin Zeng; Guokai Zhang; Jingyong Su (IEEE J. Biomed. Health Informatics, 2025)

Boundary-Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Yang Yang 002; Jiaxin Zhuang; Guoying Sun; Ruixuan Wang; Jingyong Su (IEEE Trans. Medical Imaging, 2025)

Lightweight Quad Bayer HybridEVS Demosaicing via State Space Augmented Cross-Attention. - Shiyang Zhou; Haijin Zeng; Yunfan Lu; Yongyong Chen; Jie Liu; Jingyong Su (CoRR, 2025)