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2020 – today
- 2025
[j147]Yaning Zhang, Qiufu Li, Zitong Yu
, Linlin Shen:
Distilled transformers with locally enhanced global representations for face forgery detection. Pattern Recognit. 161: 111253 (2025)- 2024
- [j146]Rosa Sicilia, Linlin Shen, Alejandro Rodríguez González, KC Santosh, Peter J. F. Lucas:
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine. Artif. Intell. Medicine 156: 102954 (2024) - [j145]Shengdong Zhang, Xiaoqin Zhang, Wenqi Ren, Linlin Shen, Li Zhao, Jun Zhang:
Photo realistic synthetic dataset and multi-scale attention dehazing network. Eng. Appl. Artif. Intell. 133: 108359 (2024) - [j144]Xinquan Yang, Xuguang Li, Xuechen Li, Wenting Chen, Linlin Shen, Xin Li, Yongqiang Deng:
Two-stream regression network for dental implant position prediction. Expert Syst. Appl. 235: 121135 (2024) - [j143]Leilei Zeng, Xuechen Li, Xinquan Yang, Wenting Chen, Jingxin Liu, Linlin Shen, Song Wu:
SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation. Expert Syst. Appl. 252: 124070 (2024) - [j142]Qiufu Li, Linlin Shen:
Dual-branch interactive cross-frequency attention network for deep feature learning. Expert Syst. Appl. 254: 124406 (2024) - [j141]Da Wan, Can Gao, Jie Zhou, Xinrui Shen, Linlin Shen:
Unsupervised fabric defect detection with high-frequency feature mapping. Multim. Tools Appl. 83(7): 21615-21632 (2024) - [j140]Shengdong Zhang, Xiaoqin Zhang, Linlin Shen, En Fan:
GAN-based dehazing network with knowledge transferring. Multim. Tools Appl. 83(15): 45095-45110 (2024) - [j139]Xinquan Yang, Xuguang Li, Xuechen Li, Peixi Wu, Linlin Shen, Yongqiang Deng:
ImplantFormer: vision transformer-based implant position regression using dental CBCT data. Neural Comput. Appl. 36(12): 6643-6658 (2024) - [j138]Weicheng Xie, Cheng Luo, Gui Wang, Linlin Shen, Zhihui Lai, Siyang Song:
Network characteristics adaption and hierarchical feature exploration for robust object recognition. Pattern Recognit. 149: 110240 (2024) - [j137]Yuwu Lu, Dewei Lin, Jiajun Wen, Linlin Shen, Xuelong Li, Zhenkun Wen:
Heterogeneous domain adaptation via incremental discriminative knowledge consistency. Pattern Recognit. 156: 110857 (2024) - [j136]Junpeng Yang, Qiufu Li, Linlin Shen:
PointSurFace: Discriminative point cloud surface feature extraction for 3D face recognition. Pattern Recognit. 156: 110858 (2024) - [j135]Yaning Zhang, Jiahe Zhang, Linlin Shen, Zitong Yu, Zan Gao:
Fine-Grained Temporal-Enhanced Transformer for Dynamic Facial Expression Recognition. IEEE Signal Process. Lett. 31: 2560-2564 (2024) - [j134]Shengdong Zhang, Xiaoqin Zhang, Shaohua Wan, Wenqi Ren, Liping Zhao, Li Zhao, Linlin Shen:
Diverse Hazy Image Synthesis via Coloring Network. IEEE Trans. Artif. Intell. 5(7): 3703-3713 (2024) - [j133]Xu Wu, Zhihui Lai, Shiqi Yu, Jie Zhou, Zhuoqian Liang, Linlin Shen:
Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 591-603 (2024) - [j132]Ya-Nan Zhang, Qiufu Li, Linlin Shen, Ailian He, Song Wu:
Deep Variational Inference Network for Single Image Reflection Removal. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1910-1921 (2024) - [j131]Yuting Zhou, Can Gao, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai:
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3779-3792 (2024) - [j130]Feng Liu, Wenfeng Zeng, Yin Li, Linlin Shen:
A Lightweight and Noise-Robust Method for Internal OCT Fingerprint Reconstruction. IEEE Trans. Inf. Forensics Secur. 19: 5492-5505 (2024) - [j129]Weicheng Xie, Zenghao Niu, Qinliang Lin, Siyang Song, Linlin Shen:
Generative Imperceptible Attack With Feature Learning Bias Reduction and Multi-Scale Variance Regularization. IEEE Trans. Inf. Forensics Secur. 19: 7924-7938 (2024) - [j128]Yaning Zhang, Zitong Yu, Tianyi Wang, Xiaobin Huang, Linlin Shen, Zan Gao, Jianfeng Ren:
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning. IEEE Trans. Inf. Forensics Secur. 19: 8559-8572 (2024) - [j127]Shengdong Zhang, Xiaoqin Zhang, Shaohua Wan, Wenqi Ren, Liping Zhao, Linlin Shen:
Generative Adversarial and Self-Supervised Dehazing Network. IEEE Trans. Ind. Informatics 20(3): 4187-4197 (2024) - [j126]Weicheng Xie, Zhibin Peng, Linlin Shen, Wenya Lu, Yang Zhang, Siyang Song:
Cross-Layer Contrastive Learning of Latent Semantics for Facial Expression Recognition. IEEE Trans. Image Process. 33: 2514-2529 (2024) - [j125]Wei Zhuo, Yuan Wang, Junliang Chen, Songhe Deng, Zhi Wang, Linlin Shen, Wenwu Zhu:
Enhancing Unsupervised Semantic Segmentation Through Context-Aware Clustering. IEEE Trans. Multim. 26: 10081-10093 (2024) - [j124]Zhe Kong, Wentian Zhang, Feng Liu, Wenhan Luo, Haozhe Liu, Linlin Shen, Raghavendra Ramachandra:
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10639-10650 (2024) - [j123]Yang Zhang, Linlin Shen:
Automatic Learning Rate Adaption for Memristive Deep Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10791-10802 (2024) - [c195]Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song:
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. AAAI 2024: 3459-3467 - [c194]Wenting Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li, Yixuan Yuan:
Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation. ACL (1) 2024: 9494-9509 - [c193]Zihan Wang, Siyang Song, Cheng Luo, Songhe Deng, Weicheng Xie, Linlin Shen:
Multi-Scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition. CVPR 2024: 1270-1280 - [c192]Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou:
Tune-an-Ellipse: CLIP Has Potential to Find what you Want. CVPR 2024: 13723-13732 - [c191]Weizhao He, Yang Zhang, Wei Zhuo, Linlin Shen, Jiaqi Yang, Songhe Deng, Liang Sun:
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation. CVPR 2024: 23762-23772 - [c190]Qingzheng Huang, Xilin He, Xiaole Xian, Qinliang Lin, Weicheng Xie, Siyang Song, Linlin Shen, Zitong Yu:
MTaDCS: Moving Trace and Feature Density-Based Confidence Sample Selection Under Label Noise. ECCV (71) 2024: 178-195 - [c189]Ziqi Gao, Qiufu Li, Gui Wang, Linlin Shen:
PointFaceFormer: Local and Global Attention Based Transformer for 3D Point Cloud Face Recognition. FG 2024: 1-8 - [c188]Tao Zhong, Xiaole Xian, Zihan Wang, Weicheng Xie, Linlin Shen:
Expression-Aware Masking and Progressive Decoupling for Cross-Database Facial Expression Recognition. FG 2024: 1-10 - [c187]Xiangbo Gao, Qinliang Lin, Cheng Luo, Weicheng Xie, Linlin Shen, Keerthy Kusumam, Siyang Song:
Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator. ICASSP 2024: 2985-2989 - [c186]Yuxin Song, Cheng Luo, Aaron Jackson, Xi Jia, Weicheng Xie, Linlin Shen, Hatice Gunes, Siyang Song:
MERG: Multi-Dimensional Edge Representation Generation Layer for Graph Neural Networks. ICASSP 2024: 5475-5479 - [c185]Haijian Liang, Weicheng Xie, Xilin He, Siyang Song, Linlin Shen:
Circular Decomposition and Cross-Modal Recombination for Multimodal Sentiment Analysis. ICASSP 2024: 7910-7914 - [c184]Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou:
Dynamic Data Sampler for Cross-Language Transfer Learning in Large Language Models. ICASSP 2024: 11291-11295 - [c183]Junliang Zhang, Xu Liu, Yu Liang, Xiaole Xian, Weicheng Xie, Linlin Shen, Siyang Song:
CLIP-Guided Bidirectional Prompt and Semantic Supervision for Dynamic Facial Expression Recognition. IJCB 2024: 1-10 - [c182]Fatih Aksu, Alessandro Bria, Alice Natalina Caragliano, Camillo Maria Caruso, Wenting Chen, Ermanno Cordelli, Omar Coser, Arianna Francesconi, Leonardo Furia, Valerio Guarrasi, Giulio Iannello, Clemente Lauretti, Guido Manni, Giustino Marino, Domenico Paolo, Filippo Ruffini, Linlin Shen, Rosa Sicilia, Paolo Soda, Christian Tamantini, Matteo Tortora, Zhuoru Wu, Loredana Zollo:
Towards AI-driven Next Generation Personalized Healthcare and Well-being. Ital-IA 2024: 360-365 - [c181]Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi:
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. MICCAI (12) 2024: 251-261 - [c180]Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen:
[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. MICCAI (1) 2024: 525-535 - [c179]Jiansong Zhang, Shengnan Wu, Peizhong Liu, Linlin Shen:
A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos. MICCAI (3) 2024: 564-573 - [c178]Xinquan Yang, Xuguang Li, Xiaoling Luo, Leilei Zeng, Yudi Zhang, Linlin Shen, Yongqiang Deng:
Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network. MICCAI (5) 2024: 606-615 - [c177]Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan:
WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration. MICCAI (2) 2024: 761-771 - [c176]Yudong Li, Xianxu Hou, Dezhi Zheng, Linlin Shen, Zhe Zhao:
FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training. ACM Multimedia 2024: 58-67 - [c175]Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen:
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. ACM Multimedia 2024: 4680-4689 - [c174]Hengde Zhu, Xiangyu Kong, Weicheng Xie, Xin Huang, Linlin Shen, Lu Liu, Hatice Gunes, Siyang Song:
PerFRDiff: Personalised Weight Editing for Multiple Appropriate Facial Reaction Generation. ACM Multimedia 2024: 9495-9504 - [c173]Ziqi Gao, Qiufu Li, Linlin Shen, Junpeng Yang:
3DFaceMAE: Pre-training of Masked Autoencoder Using Patch-Based Random Masking Reconstruction and Super-resolution for 3D Face Recognition. PRCV (11) 2024: 488-503 - [i105]Songhe Deng, Wei Zhuo, Jinheng Xie, Linlin Shen:
Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation. CoRR abs/2401.09883 (2024) - [i104]Yaning Zhang, Zitong Yu, Xiaobin Huang, Linlin Shen, Jianfeng Ren:
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning. CoRR abs/2402.02003 (2024) - [i103]Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song:
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. CoRR abs/2402.03951 (2024) - [i102]Wenxuan Wang, Yihang Su, Jingyuan Huan, Jie Liu, Wenting Chen, Yudi Zhang, Cheng-Yi Li, Kao-Jung Chang, Xiaohan Xin, Linlin Shen, Michael R. Lyu:
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. CoRR abs/2402.11217 (2024) - [i101]Haozhe Liu, Wentian Zhang, Feng Liu, Haoqian Wu, Linlin Shen:
Fingerprint Presentation Attack Detector Using Global-Local Model. CoRR abs/2402.12754 (2024) - [i100]Qiufu Li, Xi Jia, Jiancan Zhou, Linlin Shen, Jinming Duan:
Rediscovering BCE Loss for Uniform Classification. CoRR abs/2403.07289 (2024) - [i99]Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen:
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement. CoRR abs/2404.05253 (2024) - [i98]Zihan Wang, Siyang Song, Cheng Luo, Songhe Deng, Weicheng Xie, Linlin Shen:
Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition. CoRR abs/2404.06443 (2024) - [i97]Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou:
Dynamic data sampler for cross-language transfer learning in large language models. CoRR abs/2405.10626 (2024) - [i96]Weijia Fan, Jiajun Wen, Xi Jia, Linlin Shen, Jiancan Zhou, Qiufu Li:
EPL: Empirical Prototype Learning for Deep Face Recognition. CoRR abs/2405.12447 (2024) - [i95]Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi:
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. CoRR abs/2405.13771 (2024) - [i94]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i93]Xinquan Yang, Xuguang Li, Xiaoling Luo, Leilei Zeng, Yudi Zhang, Linlin Shen, Yongqiang Deng:
Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network. CoRR abs/2406.04603 (2024) - [i92]Weizhao He, Yang Zhang, Wei Zhuo, Linlin Shen, Jiaqi Yang, Songhe Deng, Liang Sun:
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation. CoRR abs/2406.08372 (2024) - [i91]Zijian Cai, Xinquan Yang, Xuguang Li, Xiaoling Luo, Xuechen Li, Linlin Shen, He Meng, Yongqiang Deng:
SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis. CoRR abs/2406.13963 (2024) - [i90]Yingxin Lai, Zitong Yu, Jing Yang, Bin Li, Xiangui Kang, Linlin Shen:
GM-DF: Generalized Multi-Scenario Deepfake Detection. CoRR abs/2406.20078 (2024) - [i89]Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan:
WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration. CoRR abs/2407.13426 (2024) - [i88]Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen:
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. CoRR abs/2408.04604 (2024) - [i87]Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen:
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. CoRR abs/2408.05502 (2024) - [i86]Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo, Zheng Lu, Linlin Shen:
Activation Space Selectable Kolmogorov-Arnold Networks. CoRR abs/2408.08338 (2024) - [i85]Jiaqi Yang, Ye Huang, Xiangjian He, Linlin Shen, Guoping Qiu:
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation. CoRR abs/2409.05393 (2024) - [i84]Yaning Zhang, Tianyi Wang, Zitong Yu, Zan Gao, Linlin Shen, Shengyong Chen:
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection. CoRR abs/2409.09724 (2024) - [i83]Yiping Xie, Zitong Yu, Bingjie Wu, Weicheng Xie, Linlin Shen:
SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal Consistency. CoRR abs/2409.12040 (2024) - [i82]Xu Wu, Zhihui Lai, Jie Zhou, Can Gao, Xianxu Hou, Ya-nan Zhang, Linlin Shen:
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study. CoRR abs/2409.14461 (2024) - [i81]Xilin He, Cheng Luo, Xiaole Xian, Bing Li, Siyang Song, Muhammad Haris Khan, Weicheng Xie, Linlin Shen, Zongyuan Ge:
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data. CoRR abs/2410.09865 (2024) - [i80]Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Muhammad Haris Khan, Linlin Shen:
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization. CoRR abs/2410.16146 (2024) - [i79]Yu Zeng, Yang Zhang, Jiachen Liu, Linlin Shen, Kaijun Deng, Weizhao He, Jinbao Wang:
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion. CoRR abs/2410.21789 (2024) - [i78]Yuci Liang, Xinheng Lyu, Meidan Ding, Wenting Chen, Jipeng Zhang, Yuexiang Ren, Xiangjian He, Song Wu, Sen Yang, Xiyue Wang, Xiaohan Xing, Linlin Shen:
WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image. CoRR abs/2412.02141 (2024) - 2023
- [j122]Shengdong Zhang, Xiaoqin Zhang, Linlin Shen:
Dual Multi-Scale Dehazing Network. IEEE Access 11: 84699-84708 (2023) - [j121]Ya-Nan Zhang, Linlin Shen, Zhihui Lai:
Adaptive weighted rain streaks model-driven deep network for single image deraining. Expert Syst. Appl. 222: 119807 (2023) - [j120]Jintao Luo, Can Gao, Da Wan, Linlin Shen:
Texture and semantic convolutional auto-encoder for anomaly detection and segmentation. IET Comput. Vis. 17(7): 829-843 (2023) - [j119]Syed Furqan Qadri, Hongxiang Lin, Linlin Shen, Mubashir Ahmad, Salman Qadri, Salabat Khan, Maqbool Khan, Syeda Shamaila Zareen, Muhammad Azeem Akbar, Md Belal Bin Heyat, Saqib Qamar:
CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning. Int. J. Intell. Syst. 2023: 1-14 (2023) - [j118]Nibaran Das, Bodhisatwa Mandal, KC Santosh, Linlin Shen, Sukanta Chakraborty:
Cervical cancerous cell classification: opposition-based harmony search for deep feature selection. Int. J. Mach. Learn. Cybern. 14(11): 3911-3922 (2023) - [j117]Yating Huang, Xuechen Li, Siting Zheng, Zhongliang Li, Sihan Li, Linlin Shen, Changen Zhou, Zhihui Lai:
Tongue size and shape classification fusing segmentation features for traditional Chinese medicine diagnosis. Neural Comput. Appl. 35(10): 7581-7594 (2023) - [j116]Zhongliang Li, Xuechen Li, Zhihao Jin, Linlin Shen:
Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis. Neural Comput. Appl. 35(15): 10717-10731 (2023) - [j115]Jiajun Wen, Hong-Lin Chu, Zhihui Lai, Tianyang Xu, Linlin Shen:
Enhanced robust spatial feature selection and correlation filter learning for UAV tracking. Neural Networks 161: 39-54 (2023) - [j114]Xianxu Hou, Linlin Shen, Zhong Ming, Guoping Qiu:
Deep generative image priors for semantic face manipulation. Pattern Recognit. 139: 109477 (2023) - [j113]Siyang Song, Shashank Jaiswal, Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Linlin Shen, Michel F. Valstar:
Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition. IEEE Trans. Affect. Comput. 14(1): 178-195 (2023) - [j112]Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes:
Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition. IEEE Trans. Affect. Comput. 14(4): 3048-3065 (2023) - [j111]Ziqi Jin, Jinheng Xie, Bizhu Wu, Linlin Shen:
Weakly Supervised Pedestrian Segmentation for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1349-1362 (2023) - [j110]Junliang Chen, Weizeng Lu, Yuexiang Li, Linlin Shen, Jinming Duan:
Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3935-3946 (2023) - [j109]Junhong Zhang, Zhihui Lai, Heng Kong, Linlin Shen:
Robust Twin Bounded Support Vector Classifier With Manifold Regularization. IEEE Trans. Cybern. 53(8): 5135-5150 (2023) - [j108]Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai:
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1636-1650 (2023) - [j107]Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min:
Precise Facial Landmark Detection by Reference Heatmap Transformer. IEEE Trans. Image Process. 32: 1966-1977 (2023) - [j106]Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhong Ming:
Lifelong Age Transformation With a Deep Generative Prior. IEEE Trans. Multim. 25: 3125-3139 (2023) - [j105]Xianxu Hou, Xiaokang Zhang, Yudong Li, Linlin Shen:
TextFace: Text-to-Style Mapping Based Face Generation and Manipulation. IEEE Trans. Multim. 25: 3409-3419 (2023) - [j104]Weicheng Xie, Wenya Lu, Zhibin Peng, Linlin Shen:
Consistency Preservation and Feature Entropy Regularization for GAN Based Face Editing. IEEE Trans. Multim. 25: 8892-8905 (2023) - [c172]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. ACL (demo) 2023: 217-225 - [c171]Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Linlin Shen, Yongqiang Deng:
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. BIBM 2023: 726-732 - [c170]Dan Li, Xuechen Li, Zhibin Peng, Wenting Chen, Linlin Shen, Guangyao Wu:
Multi-scale Contrastive Learning for Gastroenteroscopy Classification. CBMS 2023: 852-858 - [c169]Zihan Wang, Siyang Song, Cheng Luo, Yuzhi Zhou, Shiling Wu, Weicheng Xie, Linlin Shen:
Spatial-Temporal Graph-Based AU Relationship Learning for Facial Action Unit Detection. CVPR Workshops 2023: 5899-5907 - [c168]Hao Li, Xianxu Hou, Zepeng Huang, Linlin Shen:
StyleGene: Crossover and Mutation of Region-level Facial Genes for Kinship Face Synthesis. CVPR 2023: 20960-20969 - [c167]Huawei Lin, Haozhe Liu, Qiufu Li, Linlin Shen:
Activation Template Matching Loss for Explainable Face Recognition. FG 2023: 1-8 - [c166]Yanliang Guo, Xianxu Hou, Feng Liu, Linlin Shen, Lei Wang, Zhen Wang, Peng Liu:
StyleAU: StyleGAN based Facial Action Unit Manipulation for Expression Editing. IJCB 2023: 1-10 - [c165]Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen:
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition. ICCV 2023: 1526-1535 - [c164]Jiancan Zhou, Xi Jia, Qiufu Li, Linlin Shen, Jinming Duan:
UniFace: Unified Cross-Entropy Loss for Deep Face Recogni