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2020 – today
- 2023
[j220]Yong Zhang, Chengyang Zhang, Bo Li, Yongli Hu, Baocai Yin:
Underwater autonomous grasping robot based on multi-stage Cascade DetNet. Artif. Life Robotics 28(2): 448-459 (2023)- [j219]Dehui Kong
, Xiliang Li, Shaofan Wang, Jinghua Li, Baocai Yin:
Learning visual-and-semantic knowledge embedding for zero-shot image classification. Appl. Intell. 53(2): 2250-2264 (2023) - [j218]Shaofan Wang, Ying Liu, Lichun Wang, Yanfeng Sun, Baocai Yin:
PASIFTNet: Scale-and-Directional-Aware Semantic Segmentation of Point Clouds. Comput. Aided Des. 156: 103462 (2023) - [j217]Zhuangzhuang Miao, Yong Zhang, Yuan Peng, Haocheng Peng, Baocai Yin:
DTCC: Multi-level dilated convolution with transformer for weakly-supervised crowd counting. Comput. Vis. Media 9(4): 859-873 (2023) - [j216]Shaofan Wang, Jiaqi Lan, Jing Lin, Yukun Liu, Lichun Wang, Baocai Yin:
Adaptive hypergraph superpixels. Displays 76: 102369 (2023) - [j215]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Robust discriminant analysis with feature selective projection and between-classes structural incoherence. Digit. Signal Process. 134: 103896 (2023) - [j214]Mengran Li, Yong Zhang, Xiaoyong Li, Xuanqi Lin, Baocai Yin:
Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model. Intell. Data Anal. 27(1): 137-163 (2023) - [j213]Jiaojiao Yuan, Yongli Hu, Yanfeng Sun, Baocai Yin:
A multi-scale feature representation and interaction network for underwater object detection. IET Comput. Vis. 17(3): 265-281 (2023) - [j212]Shaofan Wang, Yukun Liu, Yanfeng Sun, Baocai Yin:
SACNet: Shuffling atrous convolutional U-Net for medical image segmentation. IET Image Process. 17(4): 1236-1252 (2023) - [j211]Fang Liu, Yuqiu Kong, Lihe Zhang, Guang Feng, Baocai Yin:
Local-global coordination with transformers for referring image segmentation. Neurocomputing 522: 39-52 (2023) - [j210]Caixia Liu, Dehui Kong, Shaofan Wang, Qianxing Li, Jinghua Li, Baocai Yin:
Multi-scale latent feature-aware network for logical partition based 3D voxel reconstruction. Neurocomputing 533: 22-34 (2023) - [j209]Junna Gao, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin:
CIGNet: Category-and-Intrinsic-Geometry Guided Network for 3D coarse-to-fine reconstruction. Neurocomputing 554: 126607 (2023) - [j208]Zhuangzhuang Miao, Yong Zhang, Xinglin Piao, Yi Chu, Baocai Yin:
Region feature smoothness assumption for weakly semi-supervised crowd counting. Comput. Animat. Virtual Worlds 34(3-4) (2023) - [j207]Yachao Yang, Yanfeng Sun, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin:
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. Neural Networks 158: 305-317 (2023) - [j206]Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin:
Graph structure learning layer and its graph convolution clustering application. Neural Networks 165: 1010-1020 (2023) - [j205]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3396-3410 (2023) - [j204]Zhaoxuan Zhang, Xiaoguang Han, Bo Dong, Tong Li, Baocai Yin, Xin Yang:
Point Cloud Scene Completion With Joint Color and Semantic Estimation From Single RGB-D Image. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11079-11095 (2023) - [j203]Yanfeng Sun, Yunru Zhang, Huajie Jiang, Yongli Hu, Baocai Yin:
Multi-level attention for referring expression comprehension. Pattern Recognit. Lett. 172: 252-258 (2023) - [j202]Boyan Wei, Xianfeng Ye, Chengjiang Long, Zhenjun Du, Bangyu Li, Baocai Yin, Xin Yang:
Discriminative Active Learning for Robotic Grasping in Cluttered Scene. IEEE Robotics Autom. Lett. 8(3): 1858-1865 (2023) - [j201]Jianjia Xin, Lichun Wang, Kai Xu, Chao Yang, Baocai Yin:
Learning Interaction Regions and Motion Trajectories Simultaneously From Egocentric Demonstration Videos. IEEE Robotics Autom. Lett. 8(10): 6635-6642 (2023) - [j200]Yuqiu Kong, He Wang, Lingwei Kong, Yang Liu, Cuili Yao, Baocai Yin:
Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection. Sensors 23(7): 3611 (2023) - [j199]Ye Yuan, Yong Zhang, Boyue Wang, Yuan Peng, Yongli Hu, Baocai Yin:
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation. IEEE Trans. Big Data 9(1): 200-211 (2023) - [j198]Yong Zhang, Xiulan Wei, Xinyu Zhang, Yongli Hu, Baocai Yin:
Self-Attention Graph Convolution Residual Network for Traffic Data Completion. IEEE Trans. Big Data 9(2): 528-541 (2023) - [j197]Mengran Li, Yong Zhang, Wei Zhang, Yi Chu, Yongli Hu, Baocai Yin:
Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning. IEEE Trans. Big Data 9(4): 1210-1224 (2023) - [j196]Jianchuan Ding, Lingping Gao, Wenxi Liu, Haiyin Piao, Jia Pan, Zhenjun Du, Xin Yang, Baocai Yin:
Monocular Camera-Based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. 33(2): 756-770 (2023) - [j195]Yunhui Shi, Kangfu Zhang, Jin Wang, Nam Ling, Baocai Yin:
Variable-Rate Image Compression Based on Side Information Compensation and R-λ Model Rate Control. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3488-3501 (2023) - [j194]Shuang Li, Lichun Wang, Shaofan Wang, Dehui Kong, Baocai Yin:
Hierarchical Coupled Discriminative Dictionary Learning for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4973-4984 (2023) - [j193]Guangyu Huo, Yong Zhang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin:
Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 24(4): 3855-3867 (2023) - [j192]Jiapu Wang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin:
Multi-Concept Representation Learning for Knowledge Graph Completion. ACM Trans. Knowl. Discov. Data 17(1): 11:1-11:19 (2023) - [j191]Mengran Li, Yong Zhang, Xiaoyong Li, Yuchen Zhang, Baocai Yin:
Hypergraph Transformer Neural Networks. ACM Trans. Knowl. Discov. Data 17(5): 63:1-63:22 (2023) - [j190]Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin:
CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering. IEEE Trans. Knowl. Data Eng. 35(4): 3471-3483 (2023) - [j189]Mingqi Yang, Renjian Wang, Yanming Shen, Heng Qi, Baocai Yin:
Breaking the Expression Bottleneck of Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(6): 5652-5664 (2023) - [j188]Luntian Mou, Chao Zhou, Pengtao Xie, Pengfei Zhao, Ramesh C. Jain, Wen Gao, Baocai Yin:
Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion. IEEE Trans. Multim. 25: 529-542 (2023) - [j187]Yang Wang, Bo Dong, Ke Xu, Haiyin Piao, Yufei Ding, Baocai Yin, Xin Yang:
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks. ACM Trans. Multim. Comput. Commun. Appl. 19(5s): 172:1-172:17 (2023) - [j186]Bo Li, Yong Zhang, Haihui Xu, Baocai Yin:
CCST: crowd counting with swin transformer. Vis. Comput. 39(7): 2671-2682 (2023) - [c189]Jiqing Zhang, Yuanchen Wang, Wenxi Liu, Meng Li, Jinpeng Bai, Baocai Yin, Xin Yang:
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking. CVPR 2023: 9781-9790 - [c188]Xiaoyan Li, Gang Zhang, Boyue Wang, Yongli Hu, Baocai Yin:
Center Focusing Network for Real-Time LiDAR Panoptic Segmentation. CVPR 2023: 13425-13434 - [c187]Dan Wang, Jin Wang, Yunhui Shi, Nam Ling, Baocai Yin:
Point Cloud Geometry Compression via Density-Constrained Adaptive Graph Convolution. DCC 2023: 368 - [c186]Yunhui Shi, Pengquan Wang, Jin Wang, Baocai Yin, Nam Ling:
Variable-Rate Neural Image Compression with Joint Content-Channel Features and Accurate R-λ Model. ICME 2023: 702-707 - [c185]Yangke Ying, Jin Wang, Yunhui Shi, Baocai Yin:
Dual-Domain Feature Learning and Memory-Enhanced Unfolding Network for Spectral Compressive Imaging. ICME 2023: 1589-1594 - [c184]Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin:
Zero-Shot Text Classification with Semantically Extended Textual Entailment. IJCNN 2023: 1-8 - [c183]Hongbo Xu, Lichun Wang, Kai Xu, Fangyu Fu, Baocai Yin, Qingming Huang:
Augmented Spatial Context Fusion Network for Scene Graph Generation. IJCNN 2023: 1-8 - [i52]Zhenrong Zhang, Pengfei Hu, Jiefeng Ma, Jun Du, Jianshu Zhang, Huihui Zhu, Baocai Yin, Bing Yin, Cong Liu:
SEMv2: Table Separation Line Detection Based on Conditional Convolution. CoRR abs/2303.04384 (2023) - [i51]Zhe Wang, Shilong Wu, Hang Chen, Mao-Kui He, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Diyuan Liu, Baocai Yin, Jia Pan, Jianqing Gao, Cong Liu:
The Multimodal Information based Speech Processing (MISP) 2022 Challenge: Audio-Visual Diarization and Recognition. CoRR abs/2303.06326 (2023) - [i50]Hongchen Tan, Baocai Yin, Kun Wei, Xiuping Liu, Xin Li:
ALR-GAN: Adaptive Layout Refinement for Text-to-Image Synthesis. CoRR abs/2304.06297 (2023) - [i49]Jiqing Zhang, Yuanchen Wang, Wenxi Liu, Meng Li, Jinpeng Bai, Baocai Yin, Xin Yang:
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking. CoRR abs/2305.15688 (2023) - [i48]Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao:
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects. CoRR abs/2308.02457 (2023) - [i47]Yin Lin, Cong Liu, Yehansen Chen, Jinshui Hu, Bing Yin, Baocai Yin, Zengfu Wang:
Exploring Part-Informed Visual-Language Learning for Person Re-Identification. CoRR abs/2308.02738 (2023) - [i46]Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin:
Fast Adversarial Training with Smooth Convergence. CoRR abs/2308.12857 (2023) - [i45]Fang Liu, Yuhao Liu, Yuqiu Kong, Ke Xu, Lihe Zhang, Baocai Yin, Gerhard P. Hancke, Rynson W. H. Lau:
Referring Image Segmentation Using Text Supervision. CoRR abs/2308.14575 (2023) - 2022
- [j185]Mengran Li, Yong Zhang, Xiaoyong Li, Lijia Cai, Baocai Yin:
Multi-view hypergraph neural networks for student academic performance prediction. Eng. Appl. Artif. Intell. 114: 105174 (2022) - [j184]Yanfeng Sun, Jie Wang, Jipeng Guo, Yongli Hu, Baocai Yin:
Globality constrained adaptive graph regularized non-negative matrix factorization for data representation. IET Image Process. 16(10): 2577-2592 (2022) - [j183]Boyue Wang, Yifan Wang, Xiaxia He, Yongli Hu, Baocai Yin:
Multi-graph convolutional clustering network. IET Signal Process. 16(6): 650-661 (2022) - [j182]Xin Tian, Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau:
Learning to Detect Instance-Level Salient Objects Using Complementary Image Labels. Int. J. Comput. Vis. 130(3): 729-746 (2022) - [j181]Yongpeng Wu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin:
HPGCN: Hierarchical poselet-guided graph convolutional network for 3D pose estimation. Neurocomputing 487: 243-256 (2022) - [j180]Chuan-Ming Song, Xin Min, Shiqi Sun, Xiang-Hai Wang, Bao-Cai Yin:
Fast elastic motion estimation with improved Levenberg-Marquardt optimization. Inf. Sci. 587: 720-745 (2022) - [j179]Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds. Inf. Sci. 594: 151-162 (2022) - [j178]Yachao Yang, Fujiao Ju, Yanfeng Sun, Junbin Gao, Baocai Yin:
Adversarially regularized joint structured clustering network. Inf. Sci. 615: 136-151 (2022) - [j177]Kan Guo, Yongli Hu, Yanfeng Sun, Zhen Sean Qian, Junbin Gao, Baocai Yin:
An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting. IEEE Intell. Transp. Syst. Mag. 14(1): 153-162 (2022) - [j176]Xia Zhao, Yong Zhang, Yongli Hu, Zhen Sean Qian, Hao Liu, Baocai Yin:
Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data. IEEE Intell. Transp. Syst. Mag. 14(1): 163-172 (2022) - [j175]Yongli Hu, Cuicui Luo, Junbin Gao, Boyue Wang, Yanfeng Sun, Baocai Yin:
Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering. J. Vis. Commun. Image Represent. 84: 103457 (2022) - [j174]Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang:
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 80: 102485 (2022) - [j173]Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin:
Cross-modal alignment with graph reasoning for image-text retrieval. Multim. Tools Appl. 81(17): 23615-23632 (2022) - [j172]Bin Sun, Shaofan Wang, Dehui Kong, Jinghua Li, Baocai Yin:
Grassmannian graph-attentional landmark selection for domain adaptation. Multim. Tools Appl. 81(21): 30243-30266 (2022) - [j171]Baocai Yin, Mei Sun, Jing Zhang, Wenchao Liu, Cong Liu, Zengfu Wang:
AFA: adversarial frequency alignment for domain generalized lung nodule detection. Neural Comput. Appl. 34(10): 8039-8050 (2022) - [j170]Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin:
Adaptive graph convolutional clustering network with optimal probabilistic graph. Neural Networks 156: 271-284 (2022) - [j169]Bin Sun, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin, Xiaonan Luo:
GAN for vision, KG for relation: A two-stage network for zero-shot action recognition. Pattern Recognit. 126: 108563 (2022) - [j168]Xibin Jia, Yuhan Zhou, Weiting Li, Jinghua Li, Baocai Yin:
Data-aware relation learning-based graph convolution neural network for facial action unit recognition. Pattern Recognit. Lett. 155: 100-106 (2022) - [j167]Yongli Hu, Hanfu Zhang, Huajie Jiang, Yandong Bi, Baocai Yin:
CGNN: Caption-assisted graph neural network for image-text retrieval. Pattern Recognit. Lett. 161: 137-142 (2022) - [j166]Jianjia Xin, Lichun Wang, Shaofan Wang, Yukun Liu, Chao Yang, Baocai Yin:
Recommending Fine-Grained Tool Consistent With Common Sense Knowledge for Robot. IEEE Robotics Autom. Lett. 7(4): 8574-8581 (2022) - [j165]Hongchen Tan, Xiuping Liu, Yuhao Bian, Huasheng Wang, Baocai Yin:
Incomplete Descriptor Mining With Elastic Loss for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32(1): 160-171 (2022) - [j164]Baoyu Chen, Yi Zhang, Hongchen Tan, Baocai Yin, Xiuping Liu:
PMAN: Progressive Multi-Attention Network for Human Pose Transfer. IEEE Trans. Circuits Syst. Video Technol. 32(1): 302-314 (2022) - [j163]Jiqing Zhang, Chengjiang Long, Yuxin Wang, Haiyin Piao, Haiyang Mei, Xin Yang, Baocai Yin:
A Two-Stage Attentive Network for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1020-1033 (2022) - [j162]Jin Wang, Longhua Sun, Ruiqin Xiong, Yunhui Shi, Qing Zhu, Baocai Yin:
Depth Map Super-Resolution Based on Dual Normal-Depth Regularization and Graph Laplacian Prior. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3304-3318 (2022) - [j161]Tingting Li, Yunhui Shi, Xiaoyan Sun, Jin Wang, Baocai Yin:
PCGAN: Prediction-Compensation Generative Adversarial Network for Meshes. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4667-4679 (2022) - [j160]Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin:
Probabilistic Linear Discriminant Analysis Based on L1-Norm and Its Bayesian Variational Inference. IEEE Trans. Cybern. 52(3): 1616-1627 (2022) - [j159]Bin Sun, Shaofan Wang, Dehui Kong, Lichun Wang, Baocai Yin:
Real-Time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model. IEEE Trans. Cybern. 52(6): 4837-4849 (2022) - [j158]Yingbo Xie, Shengxiang Yang, Ding Wang, Junfei Qiao, Baocai Yin:
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge. IEEE Trans. Evol. Comput. 26(3): 542-554 (2022) - [j157]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization. IEEE Trans. Image Process. 31: 7191-7205 (2022) - [j156]Kan Guo, Yongli Hu, Zhen Sean Qian, Yanfeng Sun, Junbin Gao, Baocai Yin:
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation. IEEE Trans. Intell. Transp. Syst. 23(2): 1009-1018 (2022) - [j155]Guangyu Huo, Yong Zhang, Boyue Wang, Yongli Hu, Baocai Yin:
Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation. IEEE Trans. Intell. Transp. Syst. 23(3): 2623-2636 (2022) - [j154]Xueyan Yin, Genze Wu, Jinze Wei, Yanming Shen, Heng Qi, Baocai Yin:
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions. IEEE Trans. Intell. Transp. Syst. 23(6): 4927-4943 (2022) - [j153]Yang Wang, Yong Zhang, Lixun Wang, Yongli Hu, Baocai Yin:
Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization. IEEE Trans. Intell. Transp. Syst. 23(8): 12752-12765 (2022) - [j152]Jingcheng Wang, Yong Zhang, Lixun Wang, Yongli Hu, Xinglin Piao, Baocai Yin:
Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework. IEEE Trans. Intell. Transp. Syst. 23(10): 18557-18567 (2022) - [j151]Guiming Sun, Heng Qi, Yanming Shen, Baocai Yin:
TCSA-Net: A Temporal-Context-Based Self-Attention Network for Next Location Prediction. IEEE Trans. Intell. Transp. Syst. 23(11): 20735-20745 (2022) - [j150]Yanfeng Sun, Xiangheng Jiang, Yongli Hu, Fuqing Duan, Kan Guo, Boyue Wang, Junbin Gao, Baocai Yin:
Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 23(12): 23680-23693 (2022) - [j149]Hongchen Tan, Xiuping Liu, Baocai Yin, Xin Li:
Cross-Modal Semantic Matching Generative Adversarial Networks for Text-to-Image Synthesis. IEEE Trans. Multim. 24: 832-845 (2022) - [j148]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3157-3170 (2022) - [j147]Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
A Decoder-Free Variational Deep Embedding for Unsupervised Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5681-5693 (2022) - [j146]Caixia Liu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin:
A Spatial Relationship Preserving Adversarial Network for 3D Reconstruction from a Single Depth View. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 110:1-110:22 (2022) - [c182]Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, Baocai Yin:
SHCN: Self-supervised General Hypergraph Clustering Network. IEEE Big Data 2022: 1298-1303 - [c181]Yong Zhang, Xiulan Wei, Xinyu Zhang, Feng Lin, Yongli Hu, Baocai Yin:
Learnable Gated Graph Convolutional Residual Network for Traffic Prediction. CCIS 2022: 414-419 - [c180]Xin Tian, Ke Xu, Xin Yang, Lin Du, Baocai Yin, Rynson W. H. Lau:
Bi-directional Object-Context Prioritization Learning for Saliency Ranking. CVPR 2022: 5872-5881 - [c179]Jiqing Zhang, Bo Dong, Haiwei Zhang, Jianchuan Ding, Felix Heide, Baocai Yin, Xin Yang:
Spiking Transformers for Event-based Single Object Tracking. CVPR 2022: 8791-8800 - [c178]Jin Wang, Yunhui Shi, Yinsen Xing, Nam Ling, Baocai Yin:
Deep Correlated Image Set Compression Based on Distributed Source Coding and Multi-Scale Fusion. DCC 2022: 192-201 - [c177]Hang Chen, Hengshun Zhou, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Diyuan Liu, Bao-Cai Yin, Jia Pan, Jianqing Gao, Cong Liu:
The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results. ICASSP 2022: 9266-9270 - [c176]Luntian Mou, Yiyuan Zhao, Quan Hao, Yunhan Tian, Juehui Li, Jueying Li, Yiqi Sun, Feng Gao, Baocai Yin:
Memomusic Version 2.0: Extending Personalized Music Recommendation with Automatic Music Generation. ICME Workshops 2022: 1-6 - [c175]Yibo Wang, Jin Wang, Yunhui Shi, Longhua Sun, Baocai Yin:
LGP-Net: Local Geometry Preserving Network for Point Cloud Completion. ICME 2022: 1-6 - [c174]Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin:
A New Perspective on the Effects of Spectrum in Graph Neural Networks. ICML 2022: 25261-25279 - [c173]Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multiple Granularity Attention Network for Long Document Classification. IJCNN 2022: 1-7 - [c172]Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin:
Robust Graph Convolutional Clustering With Adaptive Graph Learning. IJCNN 2022: 1-8 - [c171]Hang Chen, Jun Du, Yusheng Dai, Chin-Hui Lee, Sabato Marco Siniscalchi, Shinji Watanabe, Odette Scharenborg, Jingdong Chen, Baocai Yin, Jia Pan:
Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis. INTERSPEECH 2022: 1766-1770 - [c170]Chenxi Wang, Hang Chen, Jun Du, Baocai Yin, Jia Pan:
Multi-Task Joint Learning for Embedding Aware Audio-Visual Speech Enhancement. ISCSLP 2022: 255-259 - [c169]Jingcheng Wang, Yong Zhang, Yisheng Lv, Yongli Hu, Baocai Yin:
Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks. ITSC 2022: 1388-1393 - [c168]Luntian Mou, Yiyuan Zhao, Chao Zhou, Baocai Yin, Wen Gao, Ramesh C. Jain:
A Review of Personalized Health Navigation for Drivers. MIPR 2022: 293-299 - [c167]Yunhui Shi, Shaopei An, Jin Wang, Baocai Yin:
Learned Bi-Directional Motion Prediction for Video Compression. MMAsia 2022: 15:1-15:6 - [c166]