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2020 – today
- 2025
[j65]Wei Si
, Zhaolin Zheng, Zhewei Huang, Xi-Ming Xu, Ruijue Wang, Ji-Gang Bao, Qiang Xiong, Xiantong Zhen, Jun Xu:
Learning temporal-aware representation for controllable interventional radiology imaging. Comput. Vis. Image Underst. 257: 104360 (2025)- [j64]Yawen Huang, Huimin Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Yefeng Zheng:
Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions. Int. J. Comput. Vis. 133(7): 4727-4748 (2025) - [j63]Xuezhi Xiang, Yiming Chen, Rokia Abdein, Lei Zhang, Xiantong Zhen:
Deep scene flow learning from point cloud with Transformer. Neurocomputing 641: 130350 (2025) - [j62]Yehui Wang, Fang Lei, Baoyan Wang, Qiang Zhang, Xiantong Zhen, Lei Zhang:
De-noising mask transformer for referring image segmentation. Image Vis. Comput. 154: 105356 (2025) - [j61]Xuezhi Xiang, Zhushan Ma, Xiaoheng Li, Lei Zhang, Xiantong Zhen:
Vehicle re-identification with large separable kernel attention and hybrid channel attention. Image Vis. Comput. 155: 105442 (2025) - [j60]Xuezhi Xiang, Yao Wang, Xiaoheng Li, Lei Zhang, Xiantong Zhen:
Self-supervised monocular depth estimation with large kernel attention and dynamic scene perception. J. Vis. Commun. Image Represent. 108: 104413 (2025) - [c81]Zhi Qiao, Linbin Han, Xiantong Zhen, Jia-Hong Gao, Zhen Qian:
HYDEN: Hyperbolic Density Representations for Medical Images and Reports. COLING 2025: 6285-6297 - [c80]Xuezhi Xiang, Zhushan Ma, Lei Zhang, Denis Ombati, Himaloy Himu, Xiantong Zhen:
LKA-ReID: Vehicle Re-Identification with Large Kernel Attention. ICASSP 2025: 1-5 - [c79]Sameer Ambekar, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek:
GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts. WACV 2025: 6548-6558 - [i58]Sameer Ambekar, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek:
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts. CoRR abs/2502.12195 (2025) - [i57]Heng Liu, Guanghui Li, Mingqi Gao, Xiantong Zhen, Feng Zheng, Yang Wang:
Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence Matching. CoRR abs/2504.13710 (2025) - 2024
- [j59]Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng:
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. Int. J. Comput. Vis. 132(11): 4937-4953 (2024) - [j58]Liqi Xue, Tianyi Xu, Yongbao Song, Yan Liu, Lei Zhang, Xiantong Zhen, Jun Xu:
Lightweight improved residual network for efficient inverse tone mapping. Multim. Tools Appl. 83(25): 67059-67082 (2024) - [j57]Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1464-1478 (2024) - [j56]Huan Xiong, Lei Huang, Wenston J. T. Zang, Xiantong Zhen, Guo-Sen Xie, Bin Gu, Le Song:
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5131-5148 (2024) - [j55]Guanhe Huang, Jingyue Shi, Jun Xu, Jing Li, Shengyong Chen, Yingjun Du, Xiantong Zhen, Honghai Liu:
Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder. IEEE Trans. Cybern. 54(4): 2592-2605 (2024) - [j54]Jinyu Yang, Mingqi Gao, Feng Zheng, Xiantong Zhen, Rongrong Ji, Ling Shao, Ales Leonardis:
Weakly-Supervised RGBD Video Object Segmentation. IEEE Trans. Image Process. 33: 2158-2170 (2024) - [j53]Liyun Zuo, Baoyan Wang, Lei Zhang, Jun Xu, Xiantong Zhen:
Variational Neuron Shifting for Few-Shot Image Classification Across Domains. IEEE Trans. Multim. 26: 1460-1473 (2024) - [c78]Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling. CoLLAs 2024: 832-851 - [c77]Xuhui Liu, Zhi Qiao, Runkun Liu, Hong Li, Juan Zhang, Xiantong Zhen, Zhen Qian, Baochang Zhang:
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays. ECCV (43) 2024: 458-476 - [c76]Xuezhi Xiang, Yiming Chen, Denis Ombati, Lei Zhang, Xiantong Zhen:
Deep Optical Flow Learning With Deformable Large-Kernel Cross-Attention. ICIP 2024: 875-879 - [c75]Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu:
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. ICML 2024 - [d1]Wei Si, Zhaolin Zheng, Zhewei Huang, Xi-Ming Xu, Ruijue Wang, Ji-Gang Bao, Qiang Xiong, Xiantong Zhen, Jun Xu:
IRI-VFI dataset. IEEE DataPort, 2024
- [i56]Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu:
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. CoRR abs/2406.16282 (2024) - [i55]Xuhui Liu, Zhi Qiao, Runkun Liu, Hong Li, Juan Zhang, Xiantong Zhen, Zhen Qian, Baochang Zhang:
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays. CoRR abs/2407.13545 (2024) - [i54]Zhi Qiao, Linbin Han, Xiantong Zhen, Jia-Hong Gao, Zhen Qian:
HYDEN: Hyperbolic Density Representations for Medical Images and Reports. CoRR abs/2408.09715 (2024) - [i53]Zhi Qiao, Xuhui Liu, Xiaopeng Wang, Runkun Liu, Xiantong Zhen, Pei Dong, Zhen Qian:
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning. CoRR abs/2408.09731 (2024) - [i52]Zhi Qiao, Hanqiang Ouyang, Dongheng Chu, Huishu Yuan, Xiantong Zhen, Pei Dong, Zhen Qian:
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays. CoRR abs/2408.09736 (2024) - [i51]Xuezhi Xiang, Yao Wang, Lei Zhang, Denis Ombati, Himaloy Himu, Xiantong Zhen:
Self-supervised Monocular Depth Estimation with Large Kernel Attention. CoRR abs/2409.17895 (2024) - [i50]Xuezhi Xiang, Zhushan Ma, Lei Zhang, Denis Ombati, Himaloy Himu, Xiantong Zhen:
LKA-ReID:Vehicle Re-Identification with Large Kernel Attention. CoRR abs/2409.17908 (2024) - [i49]Xuezhi Xiang, Yibo Ning, Lei Zhang, Denis Ombati, Himaloy Himu, Xiantong Zhen:
LKASeg:Remote-Sensing Image Semantic Segmentation with Large Kernel Attention and Full-Scale Skip Connections. CoRR abs/2410.10433 (2024) - [i48]Xuezhi Xiang, Xi Wang, Lei Zhang, Denis Ombati, Himaloy Himu, Xiantong Zhen:
Self-Supervised Scene Flow Estimation with Point-Voxel Fusion and Surface Representation. CoRR abs/2410.13355 (2024) - 2023
- [j52]Hao Zheng, Jinbao Wang, Xiantong Zhen, Jingkuan Song, Feng Zheng, Ke Lu, Guo-Jun Qi:
Continuous cross-modal hashing. Pattern Recognit. 142: 109662 (2023) - [j51]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) - [j50]Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, Ling Shao:
Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. IEEE Trans. Multim. 25: 1773-1783 (2023) - [j49]Lei Zhang, Yingjun Du, Jiayi Shen, Xiantong Zhen:
Learning to Learn With Variational Inference for Cross-Domain Image Classification. IEEE Trans. Multim. 25: 3319-3328 (2023) - [c74]Zhi Qiao, Hanqiang Ouyang, Dongheng Chu, Huishu Yuan, Xiantong Zhen, Pei Dong, Zhen Qian:
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays. BIBM 2023: 2175-2178 - [c73]Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. CoLLAs 2023: 1-20 - [c72]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CVPR 2023: 10021-10030 - [c71]Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CVPR 2023: 19944-19954 - [c70]Zhi Zhang, Helen Yannakoudakis, Xiantong Zhen, Ekaterina Shutova:
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. EACL (Findings) 2023: 2541-2551 - [c69]Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng:
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples. ICCV 2023: 2684-2693 - [c68]Baoshuo Kan, Teng Wang, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng:
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models. ICCV 2023: 15624-15634 - [c67]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek:
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. ICCV 2023: 18870-18881 - [c66]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring:
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning. ICLR 2023 - [c65]Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek:
Energy-Based Test Sample Adaptation for Domain Generalization. ICLR 2023 - [c64]Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek:
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. ICML 2023: 32847-32858 - [c63]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring:
Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. DALI@MICCAI 2023: 84-94 - [c62]Jiayi Shen, Xiantong Zhen, Qi Wang, Marcel Worring:
Episodic Multi-Task Learning with Heterogeneous Neural Processes. NeurIPS 2023 - [c61]Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring:
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. WACV 2023: 3619-3629 - [i47]Zhi Zhang, Helen Yannakoudakis, Xiantong Zhen, Ekaterina Shutova:
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. CoRR abs/2302.09027 (2023) - [i46]Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G. M. Snoek:
Energy-Based Test Sample Adaptation for Domain Generalization. CoRR abs/2302.11215 (2023) - [i45]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring:
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning. CoRR abs/2302.14794 (2023) - [i44]Yuxuan Shi, Lingxiao Yang, Wangpeng An, Xiantong Zhen, Liuqing Wang:
Parameter-Free Channel Attention for Image Classification and Super-Resolution. CoRR abs/2303.11055 (2023) - [i43]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CoRR abs/2303.16491 (2023) - [i42]Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CoRR abs/2304.00101 (2023) - [i41]Hao Zheng, Jinbao Wang, Xiantong Zhen, Hong Chen, Jingkuan Song, Feng Zheng:
CageViT: Convolutional Activation Guided Efficient Vision Transformer. CoRR abs/2305.09924 (2023) - [i40]Wenfang Sun, Ying-Jun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek:
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. CoRR abs/2305.10309 (2023) - [i39]Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. CoRR abs/2306.05189 (2023) - [i38]Liqi Xue, Tianyi Xu, Yongbao Song, Yan Liu, Lei Zhang, Xiantong Zhen, Jun Xu:
Lightweight Improved Residual Network for Efficient Inverse Tone Mapping. CoRR abs/2307.03998 (2023) - [i37]Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
Learning Variational Neighbor Labels for Test-Time Domain Generalization. CoRR abs/2307.04033 (2023) - [i36]Baoshuo Kan, Teng Wang, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng:
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models. CoRR abs/2308.11186 (2023) - [i35]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring:
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports. CoRR abs/2309.00917 (2023) - [i34]Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng:
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples. CoRR abs/2309.02041 (2023) - [i33]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek:
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. CoRR abs/2309.13258 (2023) - [i32]Jiayi Shen, Xiantong Zhen, Qi Wang, Marcel Worring:
Episodic Multi-Task Learning with Heterogeneous Neural Processes. CoRR abs/2310.18713 (2023) - 2022
- [j48]Xuhui Liu, Yutao Hu, Baochang Zhang, Xiantong Zhen, Xiaoyan Luo, Xianbin Cao:
Attentive encoder-decoder networks for crowd counting. Neurocomputing 490: 246-257 (2022) - [j47]Tim Ottens, Sebastiano Barbieri, Matthew R. Orton, Remy Klaassen, Hanneke W. M. van Laarhoven, Hans Crezee, Aart J. Nederveen, Xiantong Zhen, Oliver J. Gurney-Champion:
Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer. Medical Image Anal. 80: 102512 (2022) - [j46]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Uncertainty-aware report generation for chest X-rays by variational topic inference. Medical Image Anal. 82: 102603 (2022) - [j45]Jiayi Shen, Zehao Xiao, Xiantong Zhen, Lei Zhang:
Spherical Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(2): 634-645 (2022) - [j44]Anran Zhang, Jun Xu, Xiaoyan Luo, Xianbin Cao, Xiantong Zhen:
Cross-Domain Attention Network for Unsupervised Domain Adaptation Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6686-6699 (2022) - [j43]Lei Zhang, Liyun Zuo, Baoyan Wang, Xin Li, Xiantong Zhen:
Variational Hyperparameter Inference for Few-Shot Learning Across Domains. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7448-7459 (2022) - [j42]Jing Li, Qingwang Huang, Ying-Jun Du, Xiantong Zhen, Shengyong Chen, Ling Shao:
Variational Abnormal Behavior Detection With Motion Consistency. IEEE Trans. Image Process. 31: 275-286 (2022) - [j41]Ce Li, Chunyu Xie, Baochang Zhang, Jungong Han, Xiantong Zhen, Jie Chen:
Memory Attention Networks for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4800-4814 (2022) - [c60]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR 2022 - [c59]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. ICLR 2022 - [c58]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. MICCAI (2) 2022: 314-324 - [c57]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek:
Variational Model Perturbation for Source-Free Domain Adaptation. NeurIPS 2022 - [c56]Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring:
Association Graph Learning for Multi-Task Classification with Category Shifts. NeurIPS 2022 - [i31]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. CoRR abs/2202.08045 (2022) - [i30]Jin Liang, Anran Zhang, Jun Xu, Hui Li, Xiantong Zhen:
Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion. CoRR abs/2203.03624 (2022) - [i29]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. CoRR abs/2204.05737 (2022) - [i28]Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng:
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. CoRR abs/2207.03367 (2022) - [i27]Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek, Marcel Worring:
Association Graph Learning for Multi-Task Classification with Category Shifts. CoRR abs/2210.04637 (2022) - [i26]Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring:
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. CoRR abs/2210.06980 (2022) - [i25]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek:
Variational Model Perturbation for Source-Free Domain Adaptation. CoRR abs/2210.10378 (2022) - 2021
- [j40]Jinbao Wang, Shujie Tan, Xiantong Zhen, Shuo Xu, Feng Zheng, Zhenyu He, Ling Shao:
Deep 3D human pose estimation: A review. Comput. Vis. Image Underst. 210: 103225 (2021) - [j39]Yutao Hu, Yandan Yang, Jun Zhang, Xianbin Cao, Xiantong Zhen:
Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization. IEEE Trans. Circuits Syst. Video Technol. 31(1): 301-314 (2021) - [j38]Lei Zhang, Liyun Zuo, Ying-Jun Du, Xiantong Zhen:
Learning to Adapt With Memory for Probabilistic Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4283-4292 (2021) - [j37]Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng:
Pixel-Level Non-local Image Smoothing With Objective Evaluation. IEEE Trans. Multim. 23: 4065-4078 (2021) - [c55]Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova:
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. ACL/IJCNLP (1) 2021: 5254-5268 - [c54]Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. ICCV 2021: 6900-6909 - [c53]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR 2021 - [c52]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek:
Kernel Continual Learning. ICML 2021: 2621-2631 - [c51]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. ICML 2021: 11351-11361 - [c50]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. IPMI 2021: 334-345 - [c49]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Topic Inference for Chest X-Ray Report Generation. MICCAI (3) 2021: 625-635 - [c48]Zheyun Qin, Xiankai Lu, Xiushan Nie, Xiantong Zhen, Yilong Yin:
Learning Hierarchical Embedding for Video Instance Segmentation. ACM Multimedia 2021: 1884-1892 - [c47]Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu:
Learning to Learn Dense Gaussian Processes for Few-Shot Learning. NeurIPS 2021: 13230-13241 - [c46]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Multi-Task Learning with Gumbel-Softmax Priors. NeurIPS 2021: 21031-21042 - [c45]Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao:
Variational Prototype Inference for Few-Shot Semantic Segmentation. WACV 2021: 525-534 - [i24]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. CoRR abs/2103.10825 (2021) - [i23]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) - [i22]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. CoRR abs/2105.04030 (2021) - [i21]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) - [i20]Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees G. M. Snoek, Ekaterina Shutova:
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. CoRR abs/2106.02960 (2021) - [i19]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Kernel Continual Learning. CoRR abs/2107.05757 (2021) - [i18]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Topic Inference for Chest X-Ray Report Generation. CoRR abs/2107.07314 (2021) - [i17]Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. CoRR abs/2108.13393 (2021) - [i16]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Multi-Task Learning with Gumbel-Softmax Priors. CoRR abs/2111.05323 (2021) - [i15]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Multi-Task Neural Processes. CoRR abs/2111.05820 (2021) - [i14]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. CoRR abs/2112.08181 (2021) - [i13]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Generative Kernel Continual learning. CoRR abs/2112.13410 (2021) - 2020
- [j36]Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao:
Heterogenous output regression network for direct face alignment. Pattern Recognit. 105: 107311 (2020) - [j35]Lei Zhang, Ying-Jun Du, Xin Li, Xiantong Zhen:
Calibrated Multivariate Regression Networks. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4222-4231 (2020) - [j34]Baochang Zhang, Wankou Yang, Ze Wang, Lian Zhuo, Jungong Han, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. IEEE Trans. Image Process. 29: 2889-2902 (2020) - [j33]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [c44]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) 2020: 200-216 - [c43]Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen:
Few-Shot Semantic Segmentation with Democratic Attention Networks. ECCV (13) 2020: 730-746 - [c42]Haochen Wang, Yandan Yang, Xiaolong Jiang, Xianbin Cao, Xiantong Zhen:
You Only Need The Image: Unsupervised Few-Shot Semantic Segmentation With Co-Guidance Network. ICIP 2020: 1496-1500 - [c41]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. ICML 2020: 11409-11419 - [c40]Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu:
Transductive Relation-Propagation Network for Few-shot Learning. IJCAI 2020: 804-810 - [c39]Mengshi Qi, Jie Qin, Xiantong Zhen, Di Huang, Yi Yang, Jiebo Luo:
Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks. ACM Multimedia 2020: 3007-3015 - [c38]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. NeurIPS 2020 - [c37]Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
Model-Agnostic Metric for Zero-Shot Learning. WACV 2020: 775-784 - [c36]Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang:
Variational Image Deraining. WACV 2020: 2395-2404 - [i12]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i11]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i10]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR abs/2007.07645 (2020) - [i9]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. CoRR abs/2010.10341 (2020) - [i8]Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression. CoRR abs/2012.12626 (2020)
2010 – 2019
- 2019
- [j32]Lei Zhang, Xin Li, Zhiping Jian, Wei Zhang, Xiantong Zhen:
Cosine Activation in Compact Network (CACN): Application to Scene Classification. IEEE Access 7: 101855-101864 (2019) - [j31]Yan Li, Zehao Xiao, Xiantong Zhen, Xianbin Cao:
Attentional Information Fusion Networks for Cross-Scene Power Line Detection. IEEE Geosci. Remote. Sens. Lett. 16(10): 1635-1639 (2019) - [j30]Yuanjun Huang, Xianbin Cao, Qi Wang, Baochang Zhang, Xiantong Zhen, Xuelong Li:
Long-Short-Term Features for Dynamic Scene Classification. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1038-1047 (2019) - [j29]Shuman Tian, Xianbin Cao, Yan Li, Xiantong Zhen, Baochang Zhang:
Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2748-2759 (2019) - [j28]Hongren Wang, Ce Li, Xiantong Zhen, Wankou Yang, Baochang Zhang:
Gaussian Transfer Convolutional Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 360-368 (2019) - [j27]Lei Zhang, Xiantong Zhen, Ling Shao, Jingkuan Song:
Learning Match Kernels on Grassmann Manifolds for Action Recognition. IEEE Trans. Image Process. 28(1): 205-215 (2019) - [j26]Jiewan Zheng, Xianbin Cao, Baochang Zhang, Xiantong Zhen, Xiangbo Su:
Deep Ensemble Machine for Video Classification. IEEE Trans. Neural Networks Learn. Syst. 30(2): 553-565 (2019) - [c35]Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han:
Attentive Temporal Pyramid Network for Dynamic Scene Classification. AAAI 2019: 8497-8504 - [c34]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. CVPR 2019: 6133-6142 - [c33]Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao:
Attentional Neural Fields for Crowd Counting. ICCV 2019: 5713-5722 - [c32]Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao:
Relational Attention Network for Crowd Counting. ICCV 2019: 6787-6796 - [c31]Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. ICIP 2019: 3038-3042 - [c30]Haoliang Sun, Xiantong Zhen, Yilong Yin:
Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks. ICIP 2019: 4554-4558 - [c29]Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-Free Tracking With Deep Appearance and Motion Features Integration. WACV 2019: 101-110 - [c28]Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye:
Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. WACV 2019: 171-178 - [c27]Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao:
Multi-Scale Aggregation Network for Direct Face Alignment. WACV 2019: 2156-2165 - [i7]Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. CoRR abs/1901.10172 (2019) - [i6]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. CoRR abs/1903.00853 (2019) - [i5]Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen:
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. CoRR abs/1907.05315 (2019) - 2018
- [j25]Xuanhan Wang, Lianli Gao, Jingkuan Song, Xiantong Zhen, Nicu Sebe, Heng Tao Shen:
Deep appearance and motion learning for egocentric activity recognition. Neurocomputing 275: 438-447 (2018) - [j24]Xiaoqian Wang, Xiantong Zhen, Quanzheng Li, Dinggang Shen, Heng Huang:
Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. Neuroinformatics 16(3-4): 285-294 (2018) - [j23]Xiantong Zhen, Mengyang Yu, Xiaofei He, Shuo Li:
Multi-Target Regression via Robust Low-Rank Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 497-504 (2018) - [j22]Pengfei Zhao, Kai Liu, Hao Zou, Xiantong Zhen:
Multi-Stream Convolutional Neural Network for SAR Automatic Target Recognition. Remote. Sens. 10(9): 1473 (2018) - [j21]Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, Mousumi Bhaduri, David T. Laidley, Shuo Li:
Multitarget Sparse Latent Regression. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1575-1586 (2018) - [c26]Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. BMVC 2018: 78 - [c25]Xiaolong Jiang, Xiantong Zhen, Baochang Zhang, Jian Yang, Xianbin Cao:
Deep Collaborative Tracking Networks. BMVC 2018: 87 - [c24]Lei Yue, Xin Miao, Pengbo Wang, Baochang Zhang, Xiantong Zhen, Xianbin Cao:
Attentional Alignment Networks. BMVC 2018: 208 - [c23]Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang:
Direct Shape Regression Networks for End-to-End Face Alignment. CVPR 2018: 5040-5049 - [c22]Lei Zhang, Xiantong Zhen, Qiujing Zhang:
Spatial Ensemble Kernel Learning for Scene Classification. ICASSP 2018: 1303-1307 - [i4]Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. CoRR abs/1804.00243 (2018) - [i3]Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. CoRR abs/1808.06133 (2018) - [i2]Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-free Tracking with Deep Appearance and Motion Features Integration. CoRR abs/1812.06418 (2018) - 2017
- [j20]Xiantong Zhen, Heye Zhang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression. Medical Image Anal. 36: 184-196 (2017) - [j19]Mengjuan Fei, Zhaojie Ju, Xiantong Zhen, Jing Li:
Real-time visual tracking based on improved perceptual hashing. Multim. Tools Appl. 76(3): 4617-4634 (2017) - [j18]Xiantong Zhen, Feng Zheng, Ling Shao, Xianbin Cao, Dan Xu:
Supervised Local Descriptor Learning for Human Action Recognition. IEEE Trans. Multim. 19(9): 2056-2065 (2017) - [j17]Xiantong Zhen, Mengyang Yu, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2035-2047 (2017) - [c21]Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li:
Learning Deep Match Kernels for Image-Set Classification. CVPR 2017: 6240-6249 - [c20]Lei Zhang, Yangyang Feng, Xuezhi Xiang, Xiantong Zhen:
Realistic human action recognition: When CNNS meet LDS. ICASSP 2017: 1622-1626 - [c19]Lei Zhang, Wenhui Liu, Xuezhi Xiang, Yan Sun, Xiantong Zhen:
Learning discriminant grassmann kernels for image-set classification. ICIP 2017: 4477-4481 - [c18]Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression. IPMI 2017: 529-540 - 2016
- [j16]Zhao Guo, Lianli Gao, Xiantong Zhen, Fuhao Zou, Fumin Shen, Kai Zheng:
Spatial and temporal scoring for egocentric video summarization. Neurocomputing 208: 299-308 (2016) - [j15]Xiantong Zhen, Ling Shao:
Action recognition via spatio-temporal local features: A comprehensive study. Image Vis. Comput. 50: 1-13 (2016) - [j14]Xiantong Zhen, Ling Shao, Stephen J. Maybank, Rama Chellappa:
Handcrafted vs. learned representations for human action recognition. Image Vis. Comput. 55: 39-41 (2016) - [j13]Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation. Medical Image Anal. 30: 120-129 (2016) - [j12]Mengyang Yu, Ling Shao, Xiantong Zhen, Xiaofei He:
Local Feature Discriminant Projection. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1908-1914 (2016) - [c17]Lei Zhang, Yangyang Feng, Jiqing Han, Xiantong Zhen:
Realistic human action recognition: When deep learning meets VLAD. ICASSP 2016: 1352-1356 - [c16]Lei Zhang, Xiantong Zhen, Jiqing Han:
Towards optimal vlad for human action recognition from still images. ICASSP 2016: 1841-1845 - [c15]Xiantong Zhen, Yilong Yin, Mousumi Bhaduri, Ilanit Ben Nachum, David T. Laidley, Shuo Li:
Multi-task Shape Regression for Medical Image Segmentation. MICCAI (3) 2016: 210-218 - 2015
- [j11]Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walter Romano, Shuo Li:
Regression Segmentation for M3 Spinal Images. IEEE Trans. Medical Imaging 34(8): 1640-1648 (2015) - [j10]Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walter Romano, Shuo Li:
Correction to "Regression Segmentation for M3 Spinal Images". IEEE Trans. Medical Imaging 34(9): 1989 (2015) - [c14]Xiantong Zhen, Zhijie Wang, Mengyang Yu, Shuo Li:
Supervised descriptor learning for multi-output regression. CVPR 2015: 1211-1218 - [c13]Lei Zhang, Peipei Peng, Xuezhi Xiang, Xiantong Zhen:
Dimensionality reduction by supervised locality analysis. ICIP 2015: 1488-1492 - [c12]Xiantong Zhen, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression. MICCAI (1) 2015: 669-676 - [c11]Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct volume estimation without segmentation. Image Processing 2015: 94132G - [i1]Xiantong Zhen, Shuo Li:
Towards Direct Medical Image Analysis without Segmentation. CoRR abs/1510.06375 (2015) - 2014
- [j9]Xiantong Zhen, Ling Shao, Xuelong Li:
Action recognition by spatio-temporal oriented energies. Inf. Sci. 281: 295-309 (2014) - [j8]Jun Tang, Ling Shao, Xiantong Zhen:
Robust point pattern matching based on spectral context. Pattern Recognit. 47(3): 1469-1484 (2014) - [j7]Ling Shao, Xiantong Zhen, Dacheng Tao, Xuelong Li:
Spatio-Temporal Laplacian Pyramid Coding for Action Recognition. IEEE Trans. Cybern. 44(6): 817-827 (2014) - [j6]Lei Zhang, Xiantong Zhen, Ling Shao:
Learning Object-to-Class Kernels for Scene Classification. IEEE Trans. Image Process. 23(8): 3241-3253 (2014) - [c10]Xiantong Zhen, Ling Shao, Feng Zheng:
Discriminative Embedding via Image-to-Class Distances. BMVC 2014 - [c9]Lei Zhang, Xiantong Zhen, Jiqing Han, Xuezhi Xiang:
Learning semantic kernels for scene classification. ICASSP 2014: 3558-3561 - [c8]Xiantong Zhen, Ling Shao:
A Performance Evaluation on Action Recognition with Local Features. ICPR 2014: 4495-4500 - [c7]Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests. MICCAI (2) 2014: 586-593 - 2013
- [b1]Xiantong Zhen:
Feature extraction and representation for human action recognition. University of Sheffield, UK, 2013 - [j5]Dongjie Zhao, Ling Shao, Xiantong Zhen, Yan Liu:
Combining appearance and structural features for human action recognition. Neurocomputing 113: 88-96 (2013) - [j4]Xiantong Zhen, Ling Shao:
A local descriptor based on Laplacian pyramid coding for action recognition. Pattern Recognit. Lett. 34(15): 1899-1905 (2013) - [j3]Xiantong Zhen, Ling Shao, Dacheng Tao, Xuelong Li:
Embedding Motion and Structure Features for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 23(7): 1182-1190 (2013) - [j2]Li Liu, Ling Shao, Xiantong Zhen, Xuelong Li:
Learning Discriminative Key Poses for Action Recognition. IEEE Trans. Cybern. 43(6): 1860-1870 (2013) - [c6]Jun Tang, Ling Shao, Xiantong Zhen:
Human Action Retrieval via efficient feature matching. AVSS 2013: 306-311 - [c5]Xiantong Zhen, Ling Shao:
Spatio-temporal steerable pyramid for human action recognition. FG 2013: 1-6 - [c4]Lei Zhang, Shouzhi Xie, Xiantong Zhen:
Towards optimal object bank for scene classification. ICASSP 2013: 1967-1970 - [c3]Lei Zhang, Tao Wang, Xiantong Zhen:
Recognizing actions via sparse coding on structure projection. ICIP 2013: 2412-2415 - [c2]Lei Zhang, Shouzhi Xie, Xiantong Zhen:
Discriminative high-level representations for scene classification. ICIP 2013: 4345-4348 - 2012
- [c1]Lei Zhang, Xiantong Zhen, Ling Shao:
High order co-occurrence of visualwords for action recognition. ICIP 2012: 757-760 - 2011
- [j1]Ling Shao, Xiantong Zhen, Yan Liu, Ling Ji:
Human action representation using pyramid correlogram of oriented gradients on motion history images. Int. J. Comput. Math. 88(18): 3882-3895 (2011)
Coauthor Index
Yingjun Du
aka: Ying-Jun Du
aka: Ying-Jun Du
[j59] [j57] [j54] [j51] [j50] [j46] [j42] [c60] [c59] [i31] [j40] [j37] [c54] [c53] [c52] [c51] [c50] [c49] [c46] [c45] [i24] [i23] [i22] [i21] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j36] [j33] [c44] [c41] [c38] [i12] [i11] [i10] [i9] [j27] [c34] [c33] [c32] [i6] [j18] [j15] [j14] [j12] [j9] [j8] [j7] [j6] [c10] [c8] [j5] [j4] [j3] [j2] [c6] [c5] [c1] [j1]
Cees Snoek
aka: Cees G. M. Snoek
aka: Cees G. M. Snoek
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