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Jing Huo
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2020 – today
- 2024
- [j23]Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao:
Towards efficient image and video style transfer via distillation and learnable feature transformation. Comput. Vis. Image Underst. 241: 103947 (2024) - [j22]Changbin Shao
, Wenbin Li, Jing Huo, Zhen-Hua Feng
, Yang Gao:
Attention-based investigation and solution to the trade-off issue of adversarial training. Neural Networks 174: 106224 (2024) - [c35]Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao:
Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture. AAMAS 2024: 2204-2206 - [c34]Yan Yang, Dongdong Ren, Chenglei Peng, Jing Huo, Wenbin Li, Yang Gao:
Dynamic Replay Training for Class-Incremental Learning. ICASSP 2024: 5915-5919 - [c33]Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao:
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. ICLR 2024 - [i33]Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao:
Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation. CoRR abs/2403.11229 (2024) - [i32]Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao:
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. CoRR abs/2404.00563 (2024) - [i31]Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao:
ONNXPruner: ONNX-Based General Model Pruning Adapter. CoRR abs/2404.08016 (2024) - [i30]Zheng Gu, Shiyuan Yang, Jing Liao, Jing Huo, Yang Gao:
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model. CoRR abs/2405.10316 (2024) - [i29]Lianghan Zhu, Yanqi Bao, Jing Huo, Jing Wu, Yu-Kun Lai, Wenbin Li, Yang Gao:
Zero-Shot Video Editing through Adaptive Sliding Score Distillation. CoRR abs/2406.04888 (2024) - [i28]Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo:
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. CoRR abs/2407.17418 (2024) - 2023
- [j21]Wenbin Li
, Lei Wang
, Xingxing Zhang
, Lei Qi
, Jing Huo
, Yang Gao
, Jiebo Luo
:
Defensive Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5649-5667 (2023) - [j20]Wenbin Li
, Ziyi Wang
, Xuesong Yang
, Chuanqi Dong
, Pinzhuo Tian
, Tiexin Qin
, Jing Huo
, Yinghuan Shi
, Lei Wang
, Yang Gao
, Jiebo Luo
:
LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14938-14955 (2023) - [j19]Boyao Shi, Wenbin Li, Jing Huo, Pengfei Zhu, Lei Wang, Yang Gao:
Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification. Pattern Recognit. 142: 109702 (2023) - [j18]Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo:
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings. Trans. Mach. Learn. Res. 2023 (2023) - [j17]Wenbin Li
, Yanfang Liu
, Jing Huo, Yinghuan Shi
, Yang Gao
, Lei Wang
, Jiebo Luo
:
A Multilayer Framework for Online Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6701-6713 (2023) - [c32]Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao:
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. CVPR 2023: 3449-3458 - [c31]Hongye Cao
, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao:
Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. ECAI 2023: 335-342 - [c30]Yanqi Bao
, Yuxin Li
, Jing Huo
, Tianyu Ding
, Xinyue Liang
, Wenbin Li
, Yang Gao
:
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. ACM Multimedia 2023: 2180-2188 - [i27]Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao:
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. CoRR abs/2308.02908 (2023) - [i26]Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao:
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. CoRR abs/2308.13897 (2023) - [i25]Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao:
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture. CoRR abs/2309.16299 (2023) - 2022
- [j16]Lei Qi
, Lei Wang
, Jing Huo
, Yinghuan Shi
, Xin Geng
, Yang Gao
:
Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2921-2936 (2022) - [j15]Jing Huo
, Xiangde Liu
, Wenbin Li, Yang Gao
, Hujun Yin
, Jiebo Luo
:
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. IEEE Trans. Image Process. 31: 3347-3358 (2022) - [j14]Zheng Gu
, Chuanqi Dong
, Jing Huo
, Wenbin Li, Yang Gao
:
CariMe: Unpaired Caricature Generation With Multiple Exaggerations. IEEE Trans. Multim. 24: 2673-2686 (2022) - [i24]Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao:
Playing Lottery Tickets in Style Transfer Models. CoRR abs/2203.13802 (2022) - [i23]Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao:
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. CoRR abs/2210.03591 (2022) - [i22]Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
:
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix. CoRR abs/2211.14516 (2022) - 2021
- [j13]Li Yang, Jing Wu, Jing Huo, Yu-Kun Lai, Yang Gao:
Learning 3D face reconstruction from a single sketch. Graph. Model. 115: 101102 (2021) - [j12]Kelei He, Chunfeng Lian
, Ehsan Adeli
, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. Medical Image Anal. 71: 102039 (2021) - [j11]Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo
, Yang Gao:
Local descriptor-based multi-prototype network for few-shot Learning. Pattern Recognit. 116: 107935 (2021) - [j10]Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao:
MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration. IEEE Trans. Image Process. 30: 8644-8657 (2021) - [j9]Lei Qi
, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 27:1-27:22 (2021) - [c29]Zheng Gu
, Wenbin Li, Jing Huo, Lei Wang, Yang Gao:
LoFGAN: Fusing Local Representations for Few-shot Image Generation. ICCV 2021: 8443-8451 - [c28]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. ICCV 2021: 14841-14849 - [i21]Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang:
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. CoRR abs/2105.07715 (2021) - [i20]Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo:
Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning. CoRR abs/2107.10419 (2021) - [i19]Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-shot Learning. CoRR abs/2109.04898 (2021) - 2020
- [j8]Wenbin Li
, Wei Xiong
, Haofu Liao
, Jing Huo, Yang Gao, Jiebo Luo
:
CariGAN: Caricature generation through weakly paired adversarial learning. Neural Networks 132: 66-74 (2020) - [j7]Lei Qi
, Lei Wang
, Jing Huo, Yinghuan Shi
, Yang Gao
:
Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2815-2829 (2020) - [c27]Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao:
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. AAAI 2020: 4900-4907 - [c26]Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao:
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition. ECCV (8) 2020: 18-34 - [c25]Changbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao:
Biased Feature Learning for Occlusion Invariant Face Recognition. IJCAI 2020: 666-672 - [c24]Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao:
Learning Task-aware Local Representations for Few-shot Learning. IJCAI 2020: 716-722 - [c23]Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. IJCAI 2020: 2957-2963 - [c22]Haodi Hou, Jing Huo, Yang Gao:
Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation. IJCNN 2020: 1-7 - [i18]Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao:
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration. CoRR abs/2001.01870 (2020) - [i17]Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. CoRR abs/2002.00153 (2020) - [i16]Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. CoRR abs/2005.07462 (2020) - [i15]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. CoRR abs/2005.10777 (2020) - [i14]Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao:
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition. CoRR abs/2007.09344 (2020) - [i13]Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao:
CariMe: Unpaired Caricature Generation with Multiple Exaggerations. CoRR abs/2010.00246 (2020)
2010 – 2019
- 2019
- [c21]Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo:
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. AAAI 2019: 8642-8649 - [c20]Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
:
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. CVPR 2019: 7260-7268 - [c19]Lei Qi
, Lei Wang, Jing Huo, Luping Zhou
, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. ICCV 2019: 8079-8088 - [c18]Lei Qi
, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao:
A Mask Based Deep Ranking Neural Network for Person Retrieval. ICME 2019: 496-501 - [c17]Chuanqi Dong, Zheng Gu, Zhonghao Huang, Wen Ji, Jing Huo, Yang Gao:
DeepMEF: A Deep Model Ensemble Framework for Video Based Multi-modal Person Identification. ACM Multimedia 2019: 2531-2534 - [c16]Jianrong Chen, Li Yang, Yuanyuan Xu, Jing Huo, Yinghuan Shi, Yang Gao:
A Novel Deep Multi-Modal Feature Fusion Method for Celebrity Video Identification. ACM Multimedia 2019: 2535-2538 - [c15]Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi, Shichao Yi:
NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric. PAKDD (1) 2019: 587-599 - [c14]Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen:
MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. PRICAI (1) 2019: 230-243 - [i12]Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo:
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. CoRR abs/1903.12290 (2019) - [i11]Lei Qi
, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification. CoRR abs/1904.03425 (2019) - [i10]Lei Qi
, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. CoRR abs/1908.00862 (2019) - [i9]Lei Qi
, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification. CoRR abs/1908.05142 (2019) - [i8]Lei Qi
, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification. CoRR abs/1908.05669 (2019) - [i7]Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo:
Defensive Few-shot Adversarial Learning. CoRR abs/1911.06968 (2019) - 2018
- [j6]Lei Qi
, Jing Huo, Xiaocong Fan, Yinghuan Shi
, Yang Gao
:
Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification. IEEE J. Sel. Top. Signal Process. 12(6): 1263-1275 (2018) - [j5]Wenbin Li, Yang Gao, Lei Wang, Luping Zhou
, Jing Huo, Yinghuan Shi:
OPML: A one-pass closed-form solution for online metric learning. Pattern Recognit. 75: 302-314 (2018) - [j4]Jing Huo, Yang Gao
, Yinghuan Shi, Wanqi Yang
, Hujun Yin
:
Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning. IEEE Trans. Cybern. 48(6): 1814-1826 (2018) - [j3]Jing Huo, Yang Gao
, Yinghuan Shi, Hujun Yin
:
Cross-Modal Metric Learning for AUC Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4844-4856 (2018) - [c13]Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
:
A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. ACCV (4) 2018: 240-256 - [c12]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature recognition. BMVC 2018: 223 - [c11]Yang Lv, Lei Qi
, Jing Huo, Hao Wang, Yang Gao:
Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution. PRICAI 2018: 482-490 - [i6]Lei Qi
, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao:
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification. CoRR abs/1804.03864 (2018) - [i5]Haodi Hou, Jing Huo, Yang Gao:
Cross-Domain Adversarial Auto-Encoder. CoRR abs/1804.06078 (2018) - [i4]Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo:
Online Deep Metric Learning. CoRR abs/1805.05510 (2018) - [i3]Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo:
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning. CoRR abs/1811.00445 (2018) - 2017
- [c10]Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin:
Variation Robust Cross-Modal Metric Learning for Caricature Recognition. ACM Multimedia (Thematic Workshops) 2017: 340-348 - [i2]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature face recognition. CoRR abs/1703.03230 (2017) - 2016
- [c9]Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin
:
Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition. ACM Multimedia 2016: 1405-1414 - [i1]Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi:
OPML: A One-Pass Closed-Form Solution for Online Metric Learning. CoRR abs/1609.09178 (2016) - 2014
- [j2]Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin
:
Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos. Int. J. Neural Syst. 24(3) (2014) - [c8]Yusheng Jia, Yang Gao, Wanqi Yang, Jing Huo, Yinghuan Shi:
A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. IDEAL 2014: 223-230 - 2012
- [c7]Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin:
Abnormal Event Detection via Multi-Instance Dictionary Learning. IDEAL 2012: 76-83 - [c6]Jing Huo, Kazunori Okada
, Matthew S. Brown:
Improving semi-automated segmentation by integrating learning with active sampling. Medical Imaging: Image Processing 2012: 83142M - 2011
- [c5]Jing Huo, Kazunori Okada
, Whitney B. Pope
, Matthew S. Brown:
Sampling-based ensemble segmentation against inter-operator variability. Medical Imaging: Computer-Aided Diagnosis 2011: 796315 - [c4]Jing Huo, Eva M. van Rikxoort, Kazunori Okada
, Hyun J. Kim, Whitney B. Pope
, Jonathan G. Goldin
, Matthew S. Brown:
Confidence-based ensemble for GBM brain tumor segmentation. Medical Imaging: Image Processing 2011: 79622P - 2010
- [c3]Xiaoshu Ma, Jing Huo, Qun Wang:
A Multi-objective Genetic Algorithm Approach Based on the Uniform Design Metmod. CIS 2010: 160-164
2000 – 2009
- 2009
- [j1]Jing Huo, Kazunori Okada
, Hyun J. Kim, Whitney B. Pope
, Jonathan G. Goldin
, Jeffrey R. Alger, Matthew S. Brown:
CADrx for GBM Brain Tumors: Predicting Treatment Response from Changes in Diffusion-Weighted MRI. Algorithms 2(4): 1350-1367 (2009) - [c2]Jing Huo, Hyun J. Kim, Whitney B. Pope
, Kazunori Okada
, Jeffrey R. Alger, Yang Wang, Jonathan G. Goldin
, Matthew S. Brown:
Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map. Medical Imaging: Computer-Aided Diagnosis 2009: 72601Y - 2007
- [c1]Benjamin L. Odry, Jing Huo, Li Zhang, Carol L. Novak, David P. Naidich:
Solid component evaluation in mixed ground glass nodules. Medical Imaging: Image Processing 2007: 65120R
Coauthor Index
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