Ke Chen - RankMe

144 papers A* 22A 1B 9C 1Misc 1Journal 86Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A channel- adaptive and plug-and- play framework for hyperspectral image analysis. Inf. Fusion Taiqin Chen, Hao Sha, Yifeng Wang, Yuan Jiang, Shuai Liu, Zikun Zhou, Ke Chen, Yongbing Zhang
2026	A*	`conf`	CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection. AAAI Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2026	J	`jnl`	CollaboRadio: A Hybrid Device-Edge-Cloud Collaboration Paradigm for Fine-Grained Radio Map Construction. IEEE Trans. Mob. Comput. Shuai Shao, Lu Cheng, Ke Chen, Qingyu Liu, Shuhang Zhang, Hongliang Zhang, Lingyang Song
2026	J	`jnl`	Paying Deformable Attention to Sparse Spatial Observations for Deep Radio Map Estimation. IEEE Trans. Cogn. Commun. Netw. Kangjun Liu, Chunyan Qiu, Ke Chen, Qingfang Zheng, Lingyang Song, Yaowei Wang
2026	J	`jnl`	Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition. IEEE Trans. Multim. Longkun Zou, Kangjun Liu, Ke Chen, Kailing Guo, Kui Jia, Yaowei Wang
2026	J	`jnl`	UniRM: A Universal Large Model for Multiband 3D Radio Map Construction. IEEE J. Sel. Areas Commun. Xinyue Jiang, Tong Li, Zhu Xiao, Ke Chen, Shuai Ma, Zhaocheng Wang, Keqin Li
2025	A*	`conf`	Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception. CVPR Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025	J	`jnl`	Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation. IEEE Trans. Circuits Syst. Video Technol. Li Yu, Hongchao Zhong, Longkun Zou, Ke Chen, Pan Gao
2025	J	`jnl`	CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection. CoRR Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2025	J	`jnl`	CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation. CoRR Zhenyu Lu, Liupeng Li, Jinpeng Wang, Yan Feng, Bin Chen, Ke Chen, Yaowei Wang
2025	—	`conf`	Fine-Grained Radio Map Construction from Ultra-Sparse Sampling: An Edge-Cloud Model Collaboration Paradigm. VTC2025-Fall Shuai Shao, Lu Cheng, Ke Chen, Shuhang Zhang, Lingyang Song
2025	J	`jnl`	Generative AI on SpectrumNet: An Open Benchmark of Multiband 3-D Radio Maps. IEEE Trans. Cogn. Commun. Netw. Shuhang Zhang, Shuai Jiang, Wanjie Lin, Zheng Fang, Kangjun Liu, Hongliang Zhang, Ke Chen
2025	J	`jnl`	Improving deep representation learning via auxiliary learnable target coding. Pattern Recognit. Kangjun Liu, Ke Chen, Kui Jia, Yaowei Wang
2025	J	`jnl`	LAA3D: A Benchmark of Detecting and Tracking Low-Altitude Aircraft in 3D Space. CoRR Hai Wu, Shuai Tang, Jiale Wang, Longkun Zou, Mingyue Guo, Rongqin Liang, Ke Chen, Yaowei Wang
2025	J	`jnl`	Large Models for Aerial Edges: An Edge-Cloud Model Evolution and Communication Paradigm. IEEE J. Sel. Areas Commun. Shuhang Zhang, Qingyu Liu, Ke Chen, Boya Di, Hongliang Zhang, Wenhan Yang, Dusit Niyato, Zhu Han, H. Vincent Poor
2025	—	`conf`	LocVMunet: A Vision Mamba-Based Method for RSS-Driven Outdoor Localization. VTC2025-Fall Chunyan Qiu, Kangjun Liu, Longkun Zou, Xinhuai Wang, Ke Chen
2025	J	`jnl`	Nonlinearly activated gradient neuronet with fixed-time convergence for online equality-constrained quadratic programming. Neurocomputing Xuanjiao Lv, Ke Chen, Junying Yuan
2025	J	`jnl`	OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing. CoRR Xiang Xiang, Zhuo Xu, Yao Deng, Qinhao Zhou, Yifan Liang, Ke Chen, Qingfang Zheng, Yaowei Wang, Xi-Lin Chen, Wen Gao
2025	—	`conf`	Optimal Distance-Constrained Path Planning for Sparse Radio Map Recovery. VTC2025-Fall Feng Qiu, Kangjun Liu, Longkun Zou, Jing Liu, Ke Chen
2025	A*	`conf`	PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter. CVPR Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025	J	`jnl`	PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter. CoRR Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025	A*	`conf`	Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning. IJCAI Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia
2025	J	`jnl`	Point cloud upsampling via implicit shape priors discovery and refinement. Displays Li Yu, JiaFu Zhang, Ke Chen, Moncef Gabbouj
2025	J	`jnl`	RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation. CoRR Taiqin Chen, Zikun Zhou, Zheng Fang, Wenzhen Zou, Kanjun Liu, Ke Chen, Yongbing Zhang, Yaowei Wang
2025	J	`jnl`	RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1‱ Spatial Sampling. CoRR Zheng Fang, Kangjun Liu, Ke Chen, Qingyu Liu, Jianguo Zhang, Lingyang Song, Yaowei Wang
2025	J	`jnl`	Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition. CoRR Longkun Zou, Kangjun Liu, Ke Chen, Kailing Guo, Kui Jia, Yaowei Wang
2025	—	`conf`	Unsupervised Domain Adaptation on Point Cloud Classification via Imposing Structural Manifolds into Representation Space. CVM (3) Hongchao Zhong, Li Yu, Longkun Zou, Ke Chen
2024	—	`conf`	Adversarial Geometric Transformations of Point Clouds for Physical Attack. CVM (1) Jingyu Xiang, Xuanxiang Lin, Ke Chen, Kui Jia
2024	J	`jnl`	Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders. CoRR Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia
2024	J	`jnl`	Boosting Cross-Domain Point Classification via Distilling Relational Priors From 2D Transformers. IEEE Trans. Circuits Syst. Video Technol. Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang
2024	J	`jnl`	Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers. CoRR Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang
2024	J	`jnl`	Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation. CoRR Li Yu, Hongchao Zhong, Longkun Zou, Ke Chen, Pan Gao
2024	J	`jnl`	Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps. CoRR Shuhang Zhang, Shuai Jiang, Wanjie Lin, Zheng Fang, Kangjun Liu, Hongliang Zhang, Ke Chen
2024	J	`jnl`	Large Models for Aerial Edges: An Edge-Cloud Model Evolution and Communication Paradigm. CoRR Shuhang Zhang, Qingyu Liu, Ke Chen, Boya Di, Hongliang Zhang, Wenhan Yang, Dusit Niyato, Zhu Han, H. Vincent Poor
2024	B	`conf`	RobUNet: A Radio Map Construction Method with A Strong Generalization Capability. GLOBECOM Shuai Shao, Kangjun Liu, Qingyu Liu, Shuhang Zhang, Ke Chen, Lingyang Song
2024	J	`jnl`	TransWild: Enhancing 3D interacting hands recovery in the wild with IoU-guided Transformer. Image Vis. Comput. Wanru Zhu, Yichen Zhang, Ke Chen, Lihua Guo
2023	J	`jnl`	Classification of single-view object point clouds. Pattern Recognit. Zelin Xu, Kangjun Liu, Ke Chen, Changxing Ding, Yaowei Wang, Kui Jia
2023	J	`jnl`	Improving Deep Representation Learning via Auxiliary Learnable Target Coding. CoRR Kangjun Liu, Ke Chen, Yaowei Wang, Kui Jia
2023	A*	`conf`	Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. IJCAI Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia
2023	J	`jnl`	Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. CoRR Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia
2023	A*	`conf`	Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. AAAI Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu
2023	J	`jnl`	ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States. CoRR Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia
2022	J	`jnl`	Attribute-Aware Feature Encoding for Object Recognition and Segmentation. IEEE Trans. Multim. Shu Yang, Yaowei Wang, Ke Chen, Wei Zeng, Zesong Fei
2022	A*	`conf`	BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. IJCAI Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia
2022	J	`jnl`	BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. CoRR Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia
2022	J	`jnl`	Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization. IEEE Trans. Image Process. Kangjun Liu, Ke Chen, Kui Jia
2022	J	`jnl`	Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization. CoRR Kangjun Liu, Ke Chen, Kui Jia
2022	A*	`conf`	Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. KDD Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang
2022	A*	`conf`	Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian
2022	J	`jnl`	Fine-Grained Object Classification via Self-Supervised Pose Alignment. CoRR Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian
2022	J	`jnl`	Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia
2022	J	`jnl`	Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. IEEE Trans. Cybern. Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang
2022	—	`conf`	Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. ECCV (33) Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia
2022	J	`jnl`	Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. CoRR Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia
2022	J	`jnl`	Soft pseudo-Label shrinkage for unsupervised domain adaptive person re-identification. Pattern Recognit. Dingyuan Zheng, Jimin Xiao, Ke Chen, Xiaowei Huang, Lin Chen, Yao Zhao
2022	J	`jnl`	Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen
2021	A*	`conf`	3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CVPR Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia
2021	J	`jnl`	3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CoRR Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia
2021	A*	`conf`	Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. ICCV Longkun Zou, Hui Tang, Ke Chen, Kui Jia
2021	J	`jnl`	Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds. CoRR Longkun Zou, Hui Tang, Ke Chen, Kui Jia
2021	J	`jnl`	Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach. CoRR Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia
2021	J	`jnl`	New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion. IEEE Trans. Syst. Man Cybern. Syst. Lin Wei, Long Jin, Chenguang Yang, Ke Chen, Weibing Li
2021	A*	`conf`	Object Point Cloud Classification via Poly-Convolutional Architecture Search. ACM Multimedia Xuanxiang Lin, Ke Chen, Kui Jia
2021	A*	`conf`	Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. NeurIPS Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia
2021	J	`jnl`	Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. CoRR Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia
2020	J	`jnl`	3D Object Classification on Partial Point Clouds: A Practical Perspective. CoRR Zelin Xu, Ke Chen, Tong Zhang, C. L. Philip Chen, Kui Jia
2020	J	`jnl`	CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. CoRR Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia
2020	A*	`conf`	Cascading Convolutional Color Constancy. AAAI Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia
2020	A*	`conf`	Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. ACM Multimedia Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura
2020	J	`jnl`	Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. CoRR Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian
2020	J	`jnl`	Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. CoRR Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang
2020	J	`jnl`	On the investigation of activation functions in gradient neural network for online solving linear matrix equation. Neurocomputing Zhiguo Tan, Yueming Hu, Ke Chen
2020	J	`jnl`	Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering. CoRR Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen
2020	A*	`conf`	Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. CVPR Hui Tang, Ke Chen, Kui Jia
2020	J	`jnl`	Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. CoRR Hui Tang, Ke Chen, Kui Jia
2019	J	`jnl`	A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion. Neural Networks Lin Xiao, Yongsheng Zhang, Jianhua Dai, Ke Chen, Song Yang, Weibing Li, Bolin Liao, Lei Ding, Jichun Li
2019	J	`jnl`	Cascading Convolutional Color Constancy. CoRR Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia
2019	J	`jnl`	Convolutional low-resolution fine-grained classification. Pattern Recognit. Lett. Dingding Cai, Ke Chen, Yanlin Qian, Joni-Kristian Kämäräinen
2019	J	`jnl`	Cumulative attribute space regression for head pose estimation and color constancy. Pattern Recognit. Ke Chen, Kui Jia, Heikki Huttunen, Jiri Matas, Joni-Kristian Kämäräinen
2019	A*	`conf`	Deep Cascade Generation on Point Sets. IJCAI Kaiqi Wang, Ke Chen, Kui Jia
2019	—	`conf`	Efficient 3D Visual Perception for Robotic Rock Breaking. CASE Longchuan Niu, Ke Chen, Kui Jia, Jouni Mattila
2019	C	`conf`	Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. ISPA Yanlin Qian, Ke Chen, Huanglin Yu
2019	J	`jnl`	Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. CoRR Yanlin Qian, Ke Chen, Huanglin Yu
2019	J	`jnl`	Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia
2019	J	`jnl`	Guest Editorial: Special Issue on Machine Learning Implementations. J. Signal Process. Syst. Heikki Huttunen, Ke Chen, Zhaoxiang Zhang
2019	J	`jnl`	Nonlinear gradient neural network for solving system of linear equations. Inf. Process. Lett. Lin Xiao, Kenli Li, Zhiguo Tan, Zhijun Zhang, Bolin Liao, Ke Chen, Long Jin, Shuai Li
2019	J	`jnl`	Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion. IEEE Access Zhiguo Tan, Yueming Hu, Lin Xiao, Ke Chen
2019	J	`jnl`	ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views. CoRR Chongsheng Zhang, Guowen Peng, Yuefeng Tao, Feifei Fu, Wei Jiang, George Almpanidis, Ke Chen
2019	J	`jnl`	W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression. CoRR Zelin Xu, Ke Chen, Kui Jia
2018	J	`jnl`	A Primal Neural Network for Online Equality-Constrained Quadratic Programming. Cogn. Comput. Ke Chen, Zhaoxiang Zhang
2018	—	`conf`	CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking. ROBIO Zhijun Zhang, Shi Mao, Ke Chen, Lin Xiao, Bolin Liao, Chunquan Li, Penzchao Zhang
2018	J	`jnl`	Dichromatic Gray Pixel for Camera-agnostic Color Constancy. CoRR Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas
2018	J	`jnl`	Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. IEEE Trans. Cybern. Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj
2018	—	`conf`	Hierarchical Deformable Part Models for Heads and Tails. VISIGRAPP (5: VISAPP) Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kämäräinen
2018	J	`jnl`	Hierarchical Sliding Slice Regression for Vehicle Viewing Angle Estimation. IEEE Trans. Intell. Transp. Syst. Dan Yang, Yanlin Qian, Ke Chen, Eleni Berki, Joni-Kristian Kamarainen
2018	J	`jnl`	Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations. Neural Networks Lin Xiao, Bolin Liao, Shuai Li, Ke Chen
2017	J	`jnl`	Convolutional Low-Resolution Fine-Grained Classification. CoRR Dingding Cai, Ke Chen, Yanlin Qian, Joni-Kristian Kämäräinen
2017	A*	`conf`	Cross-Granularity Graph Inference for Semantic Video Object Segmentation. IJCAI Huiling Wang, Tinghuai Wang, Ke Chen, Joni-Kristian Kämäräinen
2017	J	`jnl`	Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression. IEEE Trans. Instrum. Meas. Ke Chen, Jeffrey A. Tuhtan, Juan Francisco Fuentes-Perez, Gert Toming, Mark Musall, Nataliya Strokina, Joni-Kristian Kamarainen, Maarja Kruusmaa
2017	J	`jnl`	Implicit Gradient Neural Networks with a Positive-Definite Mass Matrix for Online Linear Equations Solving. CoRR Ke Chen
2017	J	`jnl`	Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment. IEEE Trans. Big Data Ke Chen, Zhaoxiang Zhang
2017	J	`jnl`	Pedestrian Counting With Back-Propagated Information and Target Drift Remedy. IEEE Trans. Syst. Man Cybern. Syst. Ke Chen, Zhaoxiang Zhang
2017	A*	`conf`	Recurrent Color Constancy. ICCV Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kamarainen, Jiri Matas
2017	J	`jnl`	Spectral attribute learning for visual regression. Pattern Recognit. Ke Chen, Kui Jia, Zhaoxiang Zhang, Joni-Kristian Kämäräinen
2016	J	`jnl`	A parameter-free label propagation algorithm for person identification in stereo videos. Neurocomputing Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen
2016	—	`conf`	An Improved Recurrent Network for Online Equality-Constrained Quadratic Programming. BICS Ke Chen, Zhaoxiang Zhang
2016	J	`jnl`	Car Type Recognition with Deep Neural Networks. CoRR Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen
2016	B	`conf`	Car type recognition with Deep Neural Networks. Intelligent Vehicles Symposium Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen
2016	J	`jnl`	Deep Structured-Output Regression Learning for Computational Color Constancy. CoRR Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas
2016	B	`conf`	Deep structured-output regression learning for computational color constancy. ICPR Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas
2016	A*	`conf`	Facial Age Estimation Using Robust Label Distribution. ACM Multimedia Ke Chen, Joni-Kristian Kämäräinen, Zhaoxiang Zhang
2016	J	`jnl`	Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval. CoRR Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj
2016	J	`jnl`	Improved neural dynamics for online Sylvester equations solving. Inf. Process. Lett. Ke Chen
2016	—	`conf`	Learning with Ambiguous Label Distribution for Apparent Age Estimation. ACCV (3) Ke Chen, Joni-Kristian Kämäräinen
2016	J	`jnl`	Pedestrian Density Analysis in Public Scenes With Spatiotemporal Tensor Features. IEEE Trans. Intell. Transp. Syst. Ke Chen, Joni-Kristian Kamarainen
2016	J	`jnl`	Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion. Appl. Math. Comput. Ke Chen, Chenfu Yi
2015	—	`conf`	Computer Vision for Head Pose Estimation: Review of a Competition. SCIA Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen
2015	—	`conf`	Progressive Visual Object Detection with Positive Training Examples Only. SCIA Ekaterina Riabchenko, Ke Chen, Joni-Kristian Kämäräinen
2015	A*	`conf`	Unsupervised visual alignment with similarity graphs. CVPR Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kamarainen
2014	B	`conf`	Density-Aware Part-Based Object Detection with Positive Examples. ICPR Ekaterina Riabchenko, Joni-Kristian Kämäräinen, Ke Chen
2014	—	`conf`	Discovering Multi-relational Latent Attributes by Visual Similarity Networks. ACCV Workshops (3) Fatemeh Shokrollahi Yancheshmeh, Joni-Kristian Kämäräinen, Ke Chen
2014	B	`conf`	Learning Generative Models of Object Parts from a Few Positive Examples. ICPR Ekaterina Riabchenko, Joni-Kristian Kämäräinen, Ke Chen
2014	B	`conf`	Learning to Count with Back-propagated Information. ICPR Ke Chen, Joni-Kristian Kamarainen
2013	—	`ch.`	Crowd Counting and Profiling: Methodology and Evaluation. Modeling, Simulation and Visual Analysis of Crowds Chen Change Loy, Ke Chen, Shaogang Gong, Tao Xiang
2013	A*	`conf`	Cumulative Attribute Space for Age and Crowd Density Estimation. CVPR Ke Chen, Shaogang Gong, Tao Xiang, Chen Change Loy
2013	—	`—`	Latent dependency mining for solving regression problems in computer vision. Ke Chen
2013	J	`jnl`	Recurrent implicit dynamics for online matrix inversion. Appl. Math. Comput. Ke Chen
2013	Misc	`conf`	Superior robustness of using power-sigmoid activation functions in Z-type models for time-varying problems solving. ICMLC Yunong Zhang, Zhen Li, Dongsheng Guo, Ke Chen, Pei Chen
2012	A	`conf`	Feature Mining for Localised Crowd Counting. BMVC Ke Chen, Chen Change Loy, Shaogang Gong, Tony Xiang
2011	—	`conf`	Human pose estimation using structural support vector machines. ICCV Workshops Ke Chen, Shaogang Gong, Tao Xiang
2009	J	`jnl`	Global exponential convergence and stability of gradient-based neural network for online matrix inversion. Appl. Math. Comput. Yunong Zhang, Yanyan Shi, Ke Chen, Chaoli Wang
2009	J	`jnl`	MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs. Neurocomputing Yunong Zhang, Weimu Ma, Xiaodong Li, Hongzhou Tan, Ke Chen
2009	J	`jnl`	Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion. IEEE Trans. Autom. Control. Yunong Zhang, Ke Chen, Hongzhou Tan
2009	J	`jnl`	Repetitive motion of redundant robots planned by three kinds of recurrent neural networks and illustrated with a four-link planar manipulator's straight-line example. Robotics Auton. Syst. Yunong Zhang, Zhiguo Tan, Ke Chen, Zhi Yang, Xuanjiao Lv
2008	B	`conf`	A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states. IJCNN Yunong Zhang, Zhiguo Tan, Zhi Yang, Xuanjiao Lv, Ke Chen
2008	B	`conf`	A weights-directly-determined simple neural network for nonlinear system identification. FUZZ-IEEE Yunong Zhang, Wei Li, Chenfu Yi, Ke Chen
2008	—	`conf`	Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations. ICNSC Yunong Zhang, Zhan Li, Ke Chen, Binghuang Cai
2008	—	`conf`	MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Online Solution of Linear Time-Varying Matrix Equation AXB-C=0. ICIC (2) Ke Chen, Shuai Yue, Yunong Zhang
2008	—	`conf`	MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving. ISNN (1) Yunong Zhang, Shuai Yue, Ke Chen, Chenfu Yi
2008	—	`conf`	MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion. ICNSC Yunong Zhang, Xiaojiao Guo, Weimu Ma, Ke Chen, Binghuang Cai
2008	—	`conf`	Simulink Modeling and Comparison of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Lyapunov Equation Solving. ICNC (3) Yunong Zhang, Ke Chen, Xuezhong Li, Chengfu Yi, Hong Zhu
2008	—	`conf`	Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization. ICIC (2) Yunong Zhang, Zhan Li, Chenfu Yi, Ke Chen
2008	B	`conf`	Zhang neural network without using time-derivative information for constant and time-varying matrix inversion. IJCNN Yunong Zhang, Zenghai Chen, Ke Chen, Binghuang Cai
2007	—	`conf`	MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion. ICIC (2) Yunong Zhang, Ke Chen, Weimu Ma, Xiaodong Li