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2020 – today
- 2023
[j173]Zhongyi Han, Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Benzheng Wei, Wei Wang, Yilong Yin:
Abductive subconcept learning. Sci. China Inf. Sci. 66(2) (2023)- [j172]Sumaira Hussain
, Xiaoming Xi, Inam Ullah, Syeda Wajiha Naim, Kashif Shaheed, Cuihuan Tian, Yilong Yin:
Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors. Sci. China Inf. Sci. 66(2) (2023) - [j171]Xiyu Pang, Yilong Yin, Yanli Zheng:
Multi-Receptive Field Soft Attention Part Learning for Vehicle Re-Identification. Entropy 25(4): 594 (2023) - [j170]Zheyun Qin, Xiankai Lu, Xiushan Nie, Dongfang Liu, Yilong Yin, Wenguan Wang:
Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows. IEEE CAA J. Autom. Sinica 10(5): 1192-1208 (2023) - [j169]Kuikui Wang, Gongping Yang, Lu Yang, Yuwen Huang, Yilong Yin:
ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding. Mach. Intell. Res. 20(5): 697-706 (2023) - [j168]Letian Wang, Quan Zhou, Yuling Ma, Jie Guo, Xiushan Nie, Yilong Yin:
Deep regional detail-aware hashing. Multim. Syst. 29(1): 153-166 (2023) - [j167]Muwei Jian, Ruihong Wang, Hong Xu, Hui Yu, Junyu Dong, Gongfa Li, Yilong Yin, Kin-Man Lam:
Robust seed selection of foreground and background priors based on directional blocks for saliency-detection system. Multim. Tools Appl. 82(1): 427-451 (2023) - [j166]Zhongyi Han, Xian-Jin Gui, Haoliang Sun, Yilong Yin, Shuo Li:
Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6460-6479 (2023) - [j165]Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin:
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11053-11066 (2023) - [j164]Ziruo Sun, Xiushan Nie, Xiaopeng Bi, Shaohua Wang, Yilong Yin:
Detail enhancement-based vehicle re-identification with orientation-guided re-ranking. Pattern Recognit. 137: 109304 (2023) - [j163]Xiao Yang, Xiaoming Xi, Kesong Wang, Liangyun Sun, Lingzhao Meng, Xiushan Nie, Lishan Qiao, Yilong Yin:
Triple-attention interaction network for breast tumor classification based on multi-modality images. Pattern Recognit. 139: 109526 (2023) - [j162]Wan Su, Zhongyi Han, Rundong He, Benzheng Wei, Xueying He, Yilong Yin:
Neighborhood-based credibility anchor learning for universal domain adaptation. Pattern Recognit. 142: 109686 (2023) - [j161]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142: 109726 (2023) - [j160]Xiushan Nie, Xingbo Liu, Jie Guo, Letian Wang, Yilong Yin:
Supervised Discrete Multiple-Length Hashing for Image Retrieval. IEEE Trans. Big Data 9(1): 312-327 (2023) - [j159]Lu Yang, Xing Liu, Gongping Yang, Jun Wang, Yilong Yin:
Small-Area Finger Vein Recognition. IEEE Trans. Inf. Forensics Secur. 18: 1914-1925 (2023) - [j158]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng:
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. 35(1): 686-698 (2023) - [j157]Yang Shi, Xiushan Nie, Xingbo Liu, Lu Yang, Yilong Yin:
Zero-Shot Hashing via Asymmetric Ratio Similarity Matrix. IEEE Trans. Knowl. Data Eng. 35(5): 5426-5437 (2023) - [j156]Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin:
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. Knowl. Data Eng. 35(8): 8008-8023 (2023) - [c129]Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen:
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. AAAI 2023: 2110-2118 - [c128]Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin:
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation. AAAI 2023: 7811-7820 - [c127]Wenjia Meng, Qian Zheng, Gang Pan, Yilong Yin:
Off-Policy Proximal Policy Optimization. AAAI 2023: 9162-9170 - [c126]Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin:
MetaViewer: Towards A Unified Multi-View Representation. CVPR 2023: 11590-11599 - [c125]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin:
Fine-Grained Classification with Noisy Labels. CVPR 2023: 11651-11660 - [c124]Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin:
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation. CVPR 2023: 20008-20018 - [c123]Guoqiang Wu, Chongxuan Li, Yilong Yin:
Towards Understanding Generalization of Macro-AUC in Multi-label Learning. ICML 2023: 37540-37570 - [i32]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin:
Fine-Grained Classification with Noisy Labels. CoRR abs/2303.02404 (2023) - [i31]Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin:
MetaViewer: Towards A Unified Multi-View Representation. CoRR abs/2303.06329 (2023) - [i30]Guoqiang Wu, Chongxuan Li, Yilong Yin:
Towards Understanding Generalization of Macro-AUC in Multi-label Learning. CoRR abs/2305.05248 (2023) - [i29]Qiangchang Wang, Yilong Yin:
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work. CoRR abs/2306.01929 (2023) - [i28]Ren Wang, Haoliang Sun, Qi Wei, Xiushan Nie, Yuling Ma, Yilong Yin:
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. CoRR abs/2306.08460 (2023) - [i27]Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang:
Private-Library-Oriented Code Generation with Large Language Models. CoRR abs/2307.15370 (2023) - 2022
- [j155]Yuling Ma, Peng Han, Huiyan Qiao, Chaoran Cui, Yilong Yin, Dehu Yu:
SPAKT: A Self-Supervised Pre-TrAining Method for Knowledge Tracing. IEEE Access 10: 72145-72154 (2022) - [j154]Xiao Yang, Xiaoming Xi, Lu Yang, Chuanzhen Xu, Zuoyong Song, Xiushan Nie, Lishan Qiao, Chenglong Li, Qinglei Shi, Yilong Yin:
Multi-modality relation attention network for breast tumor classification. Comput. Biol. Medicine 150: 106210 (2022) - [j153]Qing Xu, Xiaoming Xi, Xianjing Meng, Zheyun Qin, Xiushan Nie, Yongjian Wu, Dongsheng Zhou, Yi Qu, Chenglong Li, Yilong Yin:
Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation. Sci. China Inf. Sci. 65(9): 1-12 (2022) - [j152]Wenjie Hou, Zheyun Qin, Xiaoming Xi, Xiankai Lu, Yilong Yin:
Learning disentangled representation for self-supervised video object segmentation. Neurocomputing 481: 270-280 (2022) - [j151]Yan Zhang, Gongping Yang, Yikun Liu, Chong Wang, Yilong Yin:
An improved YOLO network for unopened cotton boll detection in the field. J. Intell. Fuzzy Syst. 42(3): 2193-2206 (2022) - [j150]Ning An, Meng Chen, Li Lian, Peng Li, Kai Zhang, Xiaohui Yu, Yilong Yin:
Enabling the interpretability of pretrained venue representations using semantic categories. Knowl. Based Syst. 235: 107623 (2022) - [j149]Ren Wang, Haoliang Sun, Xiushan Nie, Yilong Yin:
SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning. Knowl. Based Syst. 247: 108427 (2022) - [j148]Rundong He, Zhongyi Han, Yilong Yin:
Towards safe and robust weakly-supervised anomaly detection under subpopulation shift. Knowl. Based Syst. 250: 109088 (2022) - [j147]Chunyun Zhang, Tianze Wu, Yunfeng Zhang, Baolin Zhao, Tingwen Wang, Chaoran Cui, Yilong Yin:
Deep semantic-aware network for zero-shot visual urban perception. Int. J. Mach. Learn. Cybern. 13(5): 1197-1211 (2022) - [j146]Yuwen Huang, Gongping Yang, Kuikui Wang, Haiying Liu, Yilong Yin:
Robust multi-feature collective non-negative matrix factorization for ECG biometrics. Pattern Recognit. 123: 108376 (2022) - [j145]Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin:
Learning to rectify for robust learning with noisy labels. Pattern Recognit. 124: 108467 (2022) - [j144]Daoheng Li, Xiushan Nie, Xiaofeng Li, Yu Zhang, Yilong Yin:
Context-related video anomaly detection via generative adversarial network. Pattern Recognit. Lett. 156: 183-189 (2022) - [j143]Chaoran Cui, Zhen Shen, Jin Huang, Meng Chen, Mingliang Xu, Meng Wang, Yilong Yin:
Adaptive Feature Aggregation in Deep Multi-Task Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2133-2144 (2022) - [j142]Yang Shi, Xiushan Nie, Xingbo Liu, Li Zou, Yilong Yin:
Supervised Adaptive Similarity Matrix Hashing. IEEE Trans. Image Process. 31: 2755-2766 (2022) - [j141]Zhongyi Han, Haoliang Sun, Yilong Yin:
Learning Transferable Parameters for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 6424-6439 (2022) - [j140]Xingbo Liu, Xiao Kang, Xiushan Nie, Jie Guo, Shaohua Wang, Yilong Yin:
Learning Binary Semantic Embedding for Large-Scale Breast Histology Image Analysis. IEEE J. Biomed. Health Informatics 26(7): 3240-3250 (2022) - [j139]Junya Teng, Xiankai Lu, Yongshun Gong, Xinfang Liu, Xiushan Nie, Yilong Yin:
Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval. IEEE Trans. Multim. 24: 1141-1151 (2022) - [j138]Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin:
Embedding Hierarchical Structures for Venue Category Representation. ACM Trans. Inf. Syst. 40(3): 57:1-57:29 (2022) - [j137]Xiaoli Liu, Jianqin Yin, Huaping Liu, Yilong Yin:
$\hbox {PISEP}{^2}$: pseudo-image sequence evolution-based 3D pose prediction. Vis. Comput. 38(7): 2603-2616 (2022) - [c122]Rundong He, Zhongyi Han, Yang Yang, Yilong Yin:
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch. AAAI 2022: 6874-6883 - [c121]Zhongyi Han, Wan Su, Rundong He, Yilong Yin:
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. ACML 2022: 436-451 - [c120]Wan Su, Fan Wang, Zhongyi Han, Yilong Yin:
Transferable Discriminative Learning for Medical Open-Set Domain Adaptation: Application to Pneumonia Classification. BIBM 2022: 1185-1192 - [c119]Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin:
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. CVPR 2022: 7141-7150 - [c118]Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. CVPR 2022: 14565-14574 - [c117]Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. ECCV (30) 2022: 516-532 - [c116]Kuikui Wang, Gongping Yang, Yuwen Huang, Lu Yang, Yilong Yin:
Online Ecg Biometrics Via Hadamard Code. ICASSP 2022: 2924-2928 - [c115]Kuikui Wang, Gongping Yang, Yuwen Huang, Lu Yang, Yilong Yin:
Joint Dual-Domain Matrix Factorization for ECG Biometric Recognition. ICASSP 2022: 3134-3138 - [c114]Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin:
Exploring Linear Feature Disentanglement for Neural Networks. ICME 2022: 1-6 - [c113]Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin:
Series Photo Selection via Multi-View Graph Learning. ICME 2022: 1-6 - [c112]Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection. ACM Multimedia 2022: 4242-4251 - [i26]Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin:
Series Photo Selection via Multi-view Graph Learning. CoRR abs/2203.09736 (2022) - [i25]Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin:
Exploring Linear Feature Disentanglement For Neural Networks. CoRR abs/2203.11700 (2022) - [i24]Lianxin Song, Xiaohui Han, Guangqi Liu, Wentong Wang, Chaoran Cui, Yilong Yin:
Sequential Multi-task Learning with Task Dependency for Appeal Judgment Prediction. CoRR abs/2204.07046 (2022) - [i23]Fan Wang, Zhongyi Han, Zhiyan Zhang, Yilong Yin:
Active Source Free Domain Adaptation. CoRR abs/2205.10711 (2022) - [i22]Ziqi Zhou, Li Lian, Yilong Yin, Ze Wang:
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning. CoRR abs/2206.03596 (2022) - [i21]Yuhang Dong, Gongping Yang, Yilong Yin:
DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement. CoRR abs/2206.05687 (2022) - [i20]Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. CoRR abs/2208.11351 (2022) - [i19]Rundong He, Rongxue Li, Zhongyi Han, Yilong Yin:
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. CoRR abs/2209.07837 (2022) - 2021
- [j136]Xiushan Nie, Xin Zhou, Yang Shi, Jiande Sun, Yilong Yin:
Classification-enhancement deep hashing for large-scale video retrieval. Appl. Soft Comput. 109: 107467 (2021) - [j135]Jiamin Li, Xingbo Liu, Xiushan Nie, Lele Ma, Peng Li, Kai Zhang, Yilong Yin:
Weighted-Attribute Triplet Hashing for Large-Scale Similar Judicial Case Matching. Comput. Intell. Neurosci. 2021: 6650962:1-6650962:11 (2021) - [j134]Jiaqi Jin, Chicheng Yan, Yixuan Tang, Yilong Yin:
Mine Geological Environment Monitoring and Risk Assessment in Arid and Semiarid Areas. Complex. 2021: 3896130:1-3896130:10 (2021) - [j133]Muwei Jian, Jing Wang, Hui Yu, Guodong Wang, Xianjing Meng, Lu Yang, Junyu Dong, Yilong Yin:
Visual saliency detection by integrating spatial position prior of object with background cues. Expert Syst. Appl. 168: 114219 (2021) - [j132]Xianjing Meng, Jinwen Zheng, Xiaoming Xi, Qing Zhang, Yilong Yin:
Finger vein recognition based on zone-based minutia matching. Neurocomputing 423: 110-123 (2021) - [j131]Inam Ullah, Muwei Jian, Sumaira Hussain, Li Lian, Zafar Ali, Imran Qureshi, Jie Guo, Yilong Yin:
Global context-aware multi-scale features aggregative network for salient object detection. Neurocomputing 455: 139-153 (2021) - [j130]Jie Guo, Xiushan Nie, Yuling Ma, Kashif Shaheed, Inam Ullah, Yilong Yin:
Attention based consistent semantic learning for micro-video scene recognition. Inf. Sci. 543: 504-516 (2021) - [j129]Yuwen Huang, Gongping Yang, Kuikui Wang, Haiying Liu, Yilong Yin:
Multi-Scale Deep Cascade Bi-Forest for Electrocardiogram Biometric Recognition. J. Comput. Sci. Technol. 36(3): 617-632 (2021) - [j128]Yikun Liu, Gongping Yang, Yuwen Huang, Yilong Yin:
SE-Mask R-CNN: An improved Mask R-CNN for apple detection and segmentation. J. Intell. Fuzzy Syst. 41(6): 6715-6725 (2021) - [j127]Zhongyi Han, Benzheng Wei, Xiaoming Xi, Bo Chen, Yilong Yin, Shuo Li:
Unifying neural learning and symbolic reasoning for spinal medical report generation. Medical Image Anal. 67: 101872 (2021) - [j126]Inam Ullah, Muwei Jian, Sumaira Hussain, Jie Guo, Li Lian, Hui Yu, Kashif Shaheed, Yilong Yin:
DSFMA: deeply supervised fully convolutional neural networks based on multi-level aggregation for saliency detection. Multim. Tools Appl. 80(5): 7145-7165 (2021) - [j125]Yuwen Huang, Gongping Yang, Kuikui Wang, Yilong Yin:
Multi-view discriminant analysis with sample diversity for ECG biometric recognition. Pattern Recognit. Lett. 145: 110-117 (2021) - [j124]Feng Yang, Guixin Dong, Chaoran Cui, Xiaojie Li, Yaxi Su, Yilong Yin:
Digital Currency Illegal Behavior Detection Based on Mutual Information Prior Loss. Sci. Program. 2021: 9954204:1-9954204:8 (2021) - [j123]Yingxin Wang, Xiushan Nie, Yang Shi, Xin Zhou, Yilong Yin:
Attention-Based Video Hashing for Large-Scale Video Retrieval. IEEE Trans. Cogn. Dev. Syst. 13(3): 491-502 (2021) - [j122]Xiushan Nie, Bowei Wang, Jiajia Li, Fanchang Hao, Muwei Jian, Yilong Yin:
Deep Multiscale Fusion Hashing for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(1): 401-410 (2021) - [j121]Xingbo Liu, Xiushan Nie, Qi Dai, Yupan Huang, Li Lian, Yilong Yin:
Reinforced Short-Length Hashing. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3655-3668 (2021) - [j120]Xiushan Nie, Xingbo Liu, Xiaoming Xi, Chenglong Li, Yilong Yin:
Fast Unmediated Hashing for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3669-3678 (2021) - [j119]Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin:
Normality Learning in Multispace for Video Anomaly Detection. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3694-3706 (2021) - [j118]Yuwen Huang, Gongping Yang, Kuikui Wang, Haiying Liu, Yilong Yin:
Learning Joint and Specific Patterns: A Unified Sparse Representation for Off-the-Person ECG Biometric Recognition. IEEE Trans. Inf. Forensics Secur. 16: 147-160 (2021) - [j117]Lu Yang, Gongping Yang, Xiaoming Xi, Kun Su, Qing Chen, Yilong Yin:
Correction to "Finger Vein Code: From Indexing to Matching". IEEE Trans. Inf. Forensics Secur. 16: 219 (2021) - [j116]Lu Yang, Gongping Yang, Kuikui Wang, Fanchang Hao, Yilong Yin:
Finger Vein Recognition via Sparse Reconstruction Error Constrained Low-Rank Representation. IEEE Trans. Inf. Forensics Secur. 16: 4869-4881 (2021) - [j115]Yang Shi, Xiushan Nie, Meng Chen, Li Lian, Yilong Yin:
Deep Hashing With Weighted Spatial Importance. IEEE Trans. Multim. 23: 3778-3792 (2021) - [j114]Xinfang Liu, Xiushan Nie, Junya Teng, Li Lian, Yilong Yin:
Single-shot Semantic Matching Network for Moment Localization in Videos. ACM Trans. Multim. Comput. Commun. Appl. 17(3): 84:1-84:14 (2021) - [c111]Rundong He, Zhongyi Han, Yu Zhang, Xueying He, Xiushan Nie, Yilong Yin:
Robust Anomaly Detection from Partially Observed Anomalies with Augmented Classes. CICAI (2) 2021: 347-358 - [c110]Ziruo Sun, Xinfang Liu, Xiaopeng Bi, Xiushan Nie, Yilong Yin:
DUN: Dual-Path Temporal Matching Network for Natural Language-Based Vehicle Retrieval. CVPR Workshops 2021: 4061-4067 - [c109]Xiao Kang, Xingbo Liu, Xiushan Nie, Yilong Yin:
Learning Binary Semantic Embedding for Breast Histology Image Classification and Retrieval. ICASSP 2021: 1180-1184 - [c108]Xiangfei Liu, Xiushan Nie, Zhen Shen, Yilong Yin:
Joint Learning of Image Aesthetic Quality Assessment and Semantic Recognition Based on Feature Enhancement. ICASSP 2021: 2075-2079 - [c107]Mingzhu Ma, Gongping Yang, Kuikui Wang, Yuwen Huang, Yilong Yin:
Label-Guided Dictionary Pair Learning for ECG Biometric Recognition. ICASSP 2021: 2555-2559 - [c106]Xinfang Liu, Xiushan Nie, Junya Teng, Fanchang Hao, Yilong Yin:
ECCL: Explicit Correlation-Based Convolution Boundary Locator for Moment Localization. ICASSP 2021: 4305-4309 - [c105]Kuikui Wang, Gongping Yang, Lu Yang, Yuwen Huang, Yilong Yin:
STERLING: Towards Effective ECG Biometric Recognition. IJCB 2021: 1-8 - [c104]Yuhang Dong, Gongping Yang, Yilong Yin:
Time Lab's approach to the Challenge on Computer Vision for Remote Physiological Measurement. ICCVW 2021: 2398-2403 - [c103]Zhongyi Han, Rundong He, Tianyang Li, Benzheng Wei, Jian Wang, Yilong Yin:
Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator. IPMI 2021: 611-623 - [c102]Zheyun Qin, Xiankai Lu, Xiushan Nie, Xiantong Zhen, Yilong Yin:
Learning Hierarchical Embedding for Video Instance Segmentation. ACM Multimedia 2021: 1884-1892 - [c101]Yang Shi, Xiushan Nie, Quan Zhou, Li Zou, Yilong Yin:
Deep Adaptive Attention Triple Hashing. MMAsia 2021: 78:1-78:5 - [i18]Xinfang Liu, Xiushan Nie, Zhifang Tan, Jie Guo, Yilong Yin:
A Survey on Natural Language Video Localization. CoRR abs/2104.00234 (2021) - [i17]Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR abs/2105.03781 (2021) - [i16]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional Prototype Inference for Few-Shot Semantic Segmentation. CoRR abs/2105.06668 (2021) - [i15]Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin:
Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction. CoRR abs/2107.10424 (2021) - [i14]Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao:
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions. CoRR abs/2107.11517 (2021) - [i13]Zhongyi Han, Haoliang Sun, Yilong Yin:
Learning Transferable Parameters for Unsupervised Domain Adaptation. CoRR abs/2108.06129 (2021) - [i12]Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin:
Learning to Rectify for Robust Learning with Noisy Labels. CoRR abs/2111.04239 (2021) - 2020
- [j113]