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2020 – today
- 2022
[j23]Fuxiang Wu
, Jun Cheng, Xinchao Wang, Lei Wang, Dapeng Tao:
Image Hallucination From Attribute Pairs. IEEE Trans. Cybern. 52(1): 568-581 (2022)- [c68]Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li:
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database. ACL (1) 2022: 5699-5710 - [i61]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CoRR abs/2203.01531 (2022) - [i60]Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CoRR abs/2203.13394 (2022) - [i59]Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang:
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. CoRR abs/2203.15625 (2022) - [i58]Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CoRR abs/2204.02547 (2022) - [i57]Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You:
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels. CoRR abs/2205.00186 (2022) - [i56]Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu:
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. CoRR abs/2205.07523 (2022) - 2021
- [j22]Jiayan Qiu, Xinchao Wang, Pascal Fua, Dacheng Tao:
Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 745-752 (2021) - [j21]Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan:
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets. IEEE Trans. Image Process. 30: 1439-1452 (2021) - [c67]Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. AAAI 2021: 1325-1333 - [c66]Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. AAAI 2021: 1334-1342 - [c65]Shaoli Huang, Xinchao Wang, Dacheng Tao:
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. AAAI 2021: 1628-1636 - [c64]Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI 2021: 2541-2549 - [c63]Huihui Liu, Yiding Yang, Xinchao Wang:
Overcoming Catastrophic Forgetting in Graph Neural Networks. AAAI 2021: 8653-8661 - [c62]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CVPR 2021: 3350-3360 - [c61]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. CVPR 2021: 7772-7781 - [c60]Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua:
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking. CVPR 2021: 8074-8084 - [c59]Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao:
Online Multiple Object Tracking With Cross-Task Synergy. CVPR 2021: 8136-8145 - [c58]Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao:
Scene Essence. CVPR 2021: 8322-8333 - [c57]Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song:
Tree-Like Decision Distillation. CVPR 2021: 13488-13497 - [c56]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Amalgamating Knowledge From Heterogeneous Graph Neural Networks. CVPR 2021: 15709-15718 - [c55]Shaoli Huang, Xinchao Wang, Dacheng Tao:
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition. ICCV 2021: 600-609 - [c54]Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song:
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image. ICCV 2021: 4016-4025 - [c53]Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song:
Self-born Wiring for Neural Trees. ICCV 2021: 5027-5036 - [c52]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. ICCV 2021: 5281-5290 - [c51]Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. IJCAI 2021: 629-635 - [c50]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI 2021: 2374-2380 - [c49]Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. IJCAI 2021: 3228-3234 - [c48]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS 2021: 11920-11932 - [c47]Haipei Sun, Yiding Yang, Yanying Li, Huihui Liu, Xinchao Wang, Wendy Hui Wang:
Automating Fairness Configurations for Machine Learning. WWW (Companion Volume) 2021: 193-201 - [i55]Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. CoRR abs/2101.03464 (2021) - [i54]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CoRR abs/2103.00430 (2021) - [i53]Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao:
Online Multiple Object Tracking with Cross-Task Synergy. CoRR abs/2104.00380 (2021) - [i52]Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. CoRR abs/2105.04181 (2021) - [i51]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR abs/2105.08584 (2021) - [i50]Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua:
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking. CoRR abs/2106.03772 (2021) - [i49]Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. CoRR abs/2108.00379 (2021) - [i48]Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. CoRR abs/2108.00384 (2021) - [i47]Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. CoRR abs/2108.01075 (2021) - [i46]Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao:
Structure-Aware Feature Generation for Zero-Shot Learning. CoRR abs/2108.07032 (2021) - [i45]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. CoRR abs/2109.12872 (2021) - [i44]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. CoRR abs/2110.15094 (2021) - [i43]Jinming Zhao, Ruichen Li, Qin Jin, Xinchao Wang, Haizhou Li:
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition. CoRR abs/2111.00865 (2021) - [i42]Xin Jin, Tianyu He, Zhiheng Yin, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen:
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification. CoRR abs/2111.10032 (2021) - [i41]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CoRR abs/2111.11418 (2021) - [i40]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR abs/2111.15193 (2021) - [i39]Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. CoRR abs/2112.03695 (2021) - [i38]Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-free Knowledge Distillation. CoRR abs/2112.06253 (2021) - [i37]Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao:
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only. CoRR abs/2112.11153 (2021) - 2020
- [j20]Hao Xiong, Chaoyue Wang, Xinchao Wang, Dacheng Tao:
Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing. IEEE Access 8: 13457-13466 (2020) - [j19]Long Lan, Xinchao Wang, Gang Hua, Thomas S. Huang, Dacheng Tao:
Semi-online Multi-people Tracking by Re-identification. Int. J. Comput. Vis. 128(7): 1937-1955 (2020) - [j18]Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song:
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance. IEEE Trans. Image Process. 29: 1177-1191 (2020) - [j17]Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao:
One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation. IEEE Trans. Image Process. 29: 4516-4529 (2020) - [j16]Yonggang Zhang, Xinmei Tian, Ya Li, Xinchao Wang, Dacheng Tao:
Principal Component Adversarial Example. IEEE Trans. Image Process. 29: 4804-4815 (2020) - [c46]Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen:
Dynamic Instance Normalization for Arbitrary Style Transfer. AAAI 2020: 4369-4376 - [c45]Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao:
Diversified Bayesian Nonnegative Matrix Factorization. AAAI 2020: 5420-5427 - [c44]Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song:
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. AAAI 2020: 6917-6924 - [c43]Haiyang Wang, Xinchao Wang, Jie Song, Jie Lei, Mingli Song:
Faster Self-adaptive Deep Stereo. ACCV (1) 2020: 175-191 - [c42]Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR 2020: 3921-3929 - [c41]Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Distilling Knowledge From Graph Convolutional Networks. CVPR 2020: 7072-7081 - [c40]Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao:
Learning Oracle Attention for High-Fidelity Face Completion. CVPR 2020: 7677-7686 - [c39]Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CVPR 2020: 12513-12522 - [c38]Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao:
Hallucinating Visual Instances in Total Absentia. ECCV (5) 2020: 264-282 - [c37]Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song:
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning. ECCV (6) 2020: 631-646 - [c36]Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Learning Propagation Rules for Attribution Map Generation. ECCV (20) 2020: 672-688 - [c35]Junming Chen, Jingjing Meng, Xinchao Wang, Junsong Yuan:
Dynamic Graph CNN for Event-Camera Based Gesture Recognition. ISCAS 2020: 1-5 - [c34]Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song:
One-sample Guided Object Representation Disassembling. NeurIPS 2020 - [c33]Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang:
Factorizable Graph Convolutional Networks. NeurIPS 2020 - [i36]Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR abs/2003.07496 (2020) - [i35]Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CoRR abs/2003.09088 (2020) - [i34]Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Distilling Knowledge from Graph Convolutional Networks. CoRR abs/2003.10477 (2020) - [i33]Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao:
Learning Oracle Attention for High-fidelity Face Completion. CoRR abs/2003.13903 (2020) - [i32]Zunlei Feng, Xinchao Wang, Yongming He, Yike Yuan, Xin Gao, Mingli Song:
Disassembling Object Representations without Labels. CoRR abs/2004.01426 (2020) - [i31]Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song:
Impression Space from Deep Template Network. CoRR abs/2007.05441 (2020) - [i30]Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan:
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets. CoRR abs/2007.09509 (2020) - [i29]Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang:
Factorizable Graph Convolutional Networks. CoRR abs/2010.05421 (2020) - [i28]Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Learning Propagation Rules for Attribution Map Generation. CoRR abs/2010.07210 (2020) - [i27]Shaoli Huang, Xinchao Wang, Dacheng Tao:
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. CoRR abs/2012.04846 (2020) - [i26]Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. CoRR abs/2012.04915 (2020) - [i25]Huihui Liu, Yiding Yang, Xinchao Wang:
Overcoming Catastrophic Forgetting in Graph Neural Networks. CoRR abs/2012.06002 (2020)
2010 – 2019
- 2019
- [j15]Bin Fan, Qingqun Kong, Xinchao Wang, Zhiheng Wang, Shiming Xiang, Chunhong Pan, Pascal Fua:
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction. IEEE Trans. Image Process. 28(10): 4774-4789 (2019) - [j14]Xinmei Tian, Ya Li, Tongliang Liu, Xinchao Wang, Dacheng Tao:
Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1818-1830 (2019) - [c32]Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. AAAI 2019: 3068-3075 - [c31]Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-Identification. AAAI 2019: 8295-8302 - [c30]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c29]Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CVPR 2019: 2829-2838 - [c28]Jiayan Qiu, Xinchao Wang, Stephen J. Maybank, Dacheng Tao:
World From Blur. CVPR 2019: 8493-8504 - [c27]Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV 2019: 3503-3512 - [c26]Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao:
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts. ICCV 2019: 7770-7779 - [c25]Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. IJCAI 2019: 3087-3093 - [c24]Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. IJCAI 2019: 4099-4105 - [c23]Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. IJCAI 2019: 4128-4134 - [c22]Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Matthew Bramler, Thenkurussi Kesavadas, Honghui Shi, Zhangyang Wang, Bihan Wen, Thomas S. Huang:
A Novel Framework for 3D-2D Vertebra Matching. MIPR 2019: 121-126 - [c21]Jiajun Deng, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang:
Self-Reproducing Video Frame Interpolation. MIPR 2019: 193-198 - [c20]Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. NeurIPS 2019: 6179-6189 - [c19]Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang:
Improving 3D Human Pose Estimation Via 3D Part Affinity Fields. WACV 2019: 1004-1013 - [i24]Yu Zhang, Xinchao Wang, Xiaojun Bi, Dacheng Tao:
A Light Dual-Task Neural Network for Haze Removal. CoRR abs/1904.06024 (2019) - [i23]Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CoRR abs/1904.10167 (2019) - [i22]Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao:
Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts. CoRR abs/1905.07862 (2019) - [i21]Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. CoRR abs/1905.11569 (2019) - [i20]Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao:
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation. CoRR abs/1906.01796 (2019) - [i19]Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. CoRR abs/1906.10546 (2019) - [i18]Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR abs/1908.07121 (2019) - [i17]Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. CoRR abs/1909.11902 (2019) - [i16]Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen:
Dynamic Instance Normalization for Arbitrary Style Transfer. CoRR abs/1911.06953 (2019) - [i15]Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song:
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. CoRR abs/1911.11502 (2019) - [i14]Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song:
Data-Free Adversarial Distillation. CoRR abs/1912.11006 (2019) - 2018
- [j13]Yu Zhang, Xinchao Wang, Xiaojun Bi, Dacheng Tao:
A Light Dual-Task Neural Network for Haze Removal. IEEE Signal Process. Lett. 25(8): 1231-1235 (2018) - [j12]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang:
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. IEEE Trans. Image Process. 27(7): 3432-3445 (2018) - [j11]Long Lan, Xinchao Wang, Shiliang Zhang, Dacheng Tao, Wen Gao, Thomas S. Huang:
Interacting Tracklets for Multi-Object Tracking. IEEE Trans. Image Process. 27(9): 4585-4597 (2018) - [c18]Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang:
Geometry-Aware Traffic Flow Analysis by Detection and Tracking. CVPR Workshops 2018: 116-120 - [c17]Fangfang Wang, Liming Zhao, Xi Li, Xinchao Wang, Dacheng Tao:
Geometry-Aware Scene Text Detection With Instance Transformation Network. CVPR 2018: 1381-1389 - [c16]Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao:
FishEyeRecNet: A Multi-context Collaborative Deep Network for Fisheye Image Rectification. ECCV (10) 2018: 475-490 - [c15]Haoyu Zhou, Haifeng Zhang, Yushan Zhou, Xinchao Wang, Wenxin Li:
Botzone: an online multi-agent competitive platform for AI education. ITiCSE 2018: 33-38 - [c14]Chenhong Zhou, Changxing Ding, Zhentai Lu, Xinchao Wang, Dacheng Tao:
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation. MICCAI (3) 2018: 637-645 - [c13]Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song:
Dual Swap Disentangling. NeurIPS 2018: 5898-5908 - [i13]