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2020 – today
- 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) - [c76]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 - [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
- [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [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]