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ORCIDDacheng Tao
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- affiliation: University of Sydney, UBTECH Sydney Artificial Intelligence Centre, Darlington, Australia
- affiliation: University of Technology Sydney, Faculty of Engineering and Information Technology, Sydney, Australia
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2020 – today
- 2023
[j621]Jing Jing, Ziyang Liu, Hao Guan, Wanlin Zhu, Zhe Zhang, Xia Meng, Jian Cheng, Yuesong Pan, Yong Jiang, Yilong Wang, Haijun Niu, Xingquan Zhao, Wei Wen, Jinxi Lin, Wei Li, Hao Li, Perminder S. Sachdev, Tao Liu, Zixiao Li, Dacheng Tao, Yongjun Wang:
A Deep Learning System to Predict Recurrence and Disability Outcomes in Patients with Transient Ischemic Attack or Ischemic Stroke. Adv. Intell. Syst. 5(4) (2023)- [j620]Zongqi Liu, Xueguan Song
, Chao Zhang, Yunsheng Ma, Dacheng Tao:
RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling. Eng. Appl. Artif. Intell. 120: 105871 (2023) - [j619]Qi Zheng, Chaoyue Wang, Dadong Wang, Dacheng Tao:
Visual Superordinate Abstraction for Robust Concept Learning. Int. J. Autom. Comput. 20(1): 79-91 (2023) - [j618]Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao:
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond. Int. J. Comput. Vis. 131(5): 1141-1162 (2023) - [j617]Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao:
The L2 convergence of stream data mining algorithms based on probabilistic neural networks. Inf. Sci. 631: 346-368 (2023) - [j616]Stephen J. Maybank, Liu Liu, Dacheng Tao:
Generalised Watson Distribution on the Hypersphere with Applications to Clustering. J. Math. Imaging Vis. 65(2): 302-322 (2023) - [j615]Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao:
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 87-110 (2023) - [j614]Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama:
Class-Wise Denoising for Robust Learning Under Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2835-2848 (2023) - [j613]Xikun Zhang, Dongjin Song, Dacheng Tao:
Hierarchical Prototype Networks for Continual Graph Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4622-4636 (2023) - [j612]Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao:
Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5187-5202 (2023) - [j611]Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao:
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5481-5496 (2023) - [j610]Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao:
Improving Video Instance Segmentation via Temporal Pyramid Routing. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6594-6601 (2023) - [j609]Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao:
TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7853-7869 (2023) - [j608]Yadi Wang, Jun Wang, Dacheng Tao:
Neurodynamics-driven supervised feature selection. Pattern Recognit. 136: 109254 (2023) - [j607]Mingjin Zhang, Qianqian Wu, Jing Zhang, Xinbo Gao, Jie Guo, Dacheng Tao:
Fluid Micelle Network for Image Super-Resolution Reconstruction. IEEE Trans. Cybern. 53(1): 578-591 (2023) - [j606]Di Wang, Jing Zhang, Bo Du, Gui-Song Xia, Dacheng Tao:
An Empirical Study of Remote Sensing Pretraining. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023) - [j605]Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang:
Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j604]Jinlong Fan, Jing Zhang, Dacheng Tao:
SIR: Self-Supervised Image Rectification via Seeing the Same Scene From Multiple Different Lenses. IEEE Trans. Image Process. 32: 865-877 (2023) - [j603]Shengcong Chen, Changxing Ding, Minfeng Liu, Jun Cheng, Dacheng Tao:
CPP-Net: Context-Aware Polygon Proposal Network for Nucleus Segmentation. IEEE Trans. Image Process. 32: 980-994 (2023) - [j602]Di Wang, Jing Zhang, Bo Du, Liangpei Zhang, Dacheng Tao:
DCN-T: Dual Context Network With Transformer for Hyperspectral Image Classification. IEEE Trans. Image Process. 32: 2536-2551 (2023) - [j601]Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. IEEE Trans. Knowl. Data Eng. 35(4): 3313-3332 (2023) - [j600]Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao:
Fusion of Global and Local Knowledge for Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j599]Xu Yang, Cheng Deng, Zhiyuan Dang, Dacheng Tao:
Deep Multiview Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(1): 516-526 (2023) - [j598]Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Compositional Gradient for Composition Problems. IEEE Trans. Neural Networks Learn. Syst. 34(2): 611-622 (2023) - [j597]Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao:
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration. IEEE Trans. Neural Networks Learn. Syst. 34(2): 677-689 (2023) - [j596]Dalu Guo, Chang Xu, Dacheng Tao:
Bilinear Graph Networks for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1023-1034 (2023) - [c511]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [c510]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i519]Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Dacheng Tao:
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. CoRR abs/2301.00954 (2023) - [i518]Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh:
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification. CoRR abs/2301.01597 (2023) - [i517]Shiye Lei, Dacheng Tao:
A Comprehensive Survey to Dataset Distillation. CoRR abs/2301.05603 (2023) - [i516]Jie Gui, Tuo Chen, Qiong Cao, Zhenan Sun, Hao Luo, Dacheng Tao:
A Survey of Self-Supervised Learning from Multiple Perspectives: Algorithms, Theory, Applications and Future Trends. CoRR abs/2301.05712 (2023) - [i515]Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao:
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. CoRR abs/2301.08015 (2023) - [i514]Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao:
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning. CoRR abs/2301.12203 (2023) - [i513]Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao:
Domain Re-Modulation for Few-Shot Generative Domain Adaptation. CoRR abs/2302.02550 (2023) - [i512]Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao:
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning. CoRR abs/2302.03004 (2023) - [i511]Jinlong Fan, Jing Zhang, Zhi Hou, Dacheng Tao:
AniPixel: Towards Animatable Pixel-Aligned Human Avatar. CoRR abs/2302.03397 (2023) - [i510]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. CoRR abs/2302.04083 (2023) - [i509]Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao:
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis. CoRR abs/2302.05201 (2023) - [i508]Yixing Liu, Yan Sun, Zhengtao Ding, Li Shen, Bo Liu, Dacheng Tao:
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach. CoRR abs/2302.05726 (2023) - [i507]Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao:
FedABC: Targeting Fair Competition in Personalized Federated Learning. CoRR abs/2302.07450 (2023) - [i506]Xu Zheng, Yexin Liu, Yunfan Lu, Tongyan Hua, Tianbo Pan, Weiming Zhang, Dacheng Tao, Lin Wang:
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks. CoRR abs/2302.08890 (2023) - [i505]Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao:
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR abs/2302.09268 (2023) - [i504]Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao:
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR abs/2302.09491 (2023) - [i503]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Baosheng Yu, Dacheng Tao:
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning. CoRR abs/2302.09532 (2023) - [i502]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. CoRR abs/2302.10198 (2023) - [i501]Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao:
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. CoRR abs/2302.10429 (2023) - [i500]Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao:
Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR abs/2302.11051 (2023) - [i499]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. CoRR abs/2302.11085 (2023) - [i498]Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao:
Subspace based Federated Unlearning. CoRR abs/2302.12448 (2023) - [i497]Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao:
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR abs/2303.00501 (2023) - [i496]Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR abs/2303.00565 (2023) - [i495]Qi Zheng, Daqing Liu, Chaoyue Wang, Jing Zhang, Dadong Wang, Dacheng Tao:
ESceme: Vision-and-Language Navigation with Episodic Scene Memory. CoRR abs/2303.01032 (2023) - [i494]Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King:
Time Associated Meta Learning for Clinical Prediction. CoRR abs/2303.02570 (2023) - [i493]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Graph Decision Transformer. CoRR abs/2303.03747 (2023) - [i492]Xin Yan, Zuchao Li, Lefei Zhang, Bo Du, Dacheng Tao:
Centroid-centered Modeling for Efficient Vision Transformer Pre-training. CoRR abs/2303.04664 (2023) - [i491]Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao:
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration. CoRR abs/2303.06682 (2023) - [i490]Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang:
Upcycling Models under Domain and Category Shift. CoRR abs/2303.07110 (2023) - [i489]Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao:
TriDet: Temporal Action Detection with Relative Boundary Modeling. CoRR abs/2303.07347 (2023) - [i488]Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Sensitivity-Aware Visual Parameter-Efficient Tuning. CoRR abs/2303.08566 (2023) - [i487]Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao:
Visual Prompt Based Personalized Federated Learning. CoRR abs/2303.08678 (2023) - [i486]Kang Liao, Lang Nie, Shujuan Huang, Chunyu Lin, Jing Zhang, Yao Zhao, Moncef Gabbouj, Dacheng Tao:
Deep Learning for Camera Calibration and Beyond: A Survey. CoRR abs/2303.10559 (2023) - [i485]Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao:
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CoRR abs/2303.11183 (2023) - [i484]Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao:
Make Landscape Flatter in Differentially Private Federated Learning. CoRR abs/2303.11242 (2023) - [i483]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. CoRR abs/2303.13780 (2023) - [i482]Qingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, Dacheng Tao:
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT. CoRR abs/2303.13809 (2023) - [i481]Qiming Zhang, Jing Zhang, Yufei Xu, Dacheng Tao:
Vision Transformer with Quadrangle Attention. CoRR abs/2303.15105 (2023) - [i480]Haimei Zhao, Qiming Zhang, Shanshan Zhao, Jing Zhang, Dacheng Tao:
BEVSimDet: Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection. CoRR abs/2303.16818 (2023) - [i479]Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Dacheng Tao, Xuelong Li:
VTAE: Variational Transformer Autoencoder with Manifolds Learning. CoRR abs/2304.00948 (2023) - [i478]Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao:
Quantum Imitation Learning. CoRR abs/2304.02480 (2023) - [i477]Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao:
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review. CoRR abs/2304.03589 (2023) - [i476]Jizhizi Li, Jing Zhang, Dacheng Tao:
Deep Image Matting: A Comprehensive Survey. CoRR abs/2304.04672 (2023) - [i475]Jinlong Fan, Jing Zhang, Dacheng Tao:
UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing. CoRR abs/2304.06969 (2023) - [i474]Kunping Huang, Sen Zhang, Jing Zhang, Dacheng Tao:
Event-based Simultaneous Localization and Mapping: A Comprehensive Survey. CoRR abs/2304.09793 (2023) - [i473]Di Wang, Jing Zhang, Bo Du, Liangpei Zhang, Dacheng Tao:
DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification. CoRR abs/2304.09915 (2023) - [i472]Yongcheng Jing, Xinchao Wang, Dacheng Tao:
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities. CoRR abs/2304.11595 (2023) - [i471]Di Wang, Bo Du, Liangpei Zhang, Dacheng Tao:
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search. CoRR abs/2304.11701 (2023) - [i470]Zhi Hou, Baosheng Yu, Dacheng Tao:
Compositional 3D Human-Object Neural Animation. CoRR abs/2304.14070 (2023) - [i469]Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao:
Deep Graph Reprogramming. CoRR abs/2304.14593 (2023) - [i468]Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao:
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy. CoRR abs/2305.00873 (2023) - [i467]Haibin He, Jing Zhang, Mengyang Xu, Juhua Liu, Bo Du, Dacheng Tao:
Scalable Mask Annotation for Video Text Spotting. CoRR abs/2305.01443 (2023) - [i466]Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao:
Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey. CoRR abs/2305.01899 (2023) - [i465]Di Wang, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang:
Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model. CoRR abs/2305.02034 (2023) - [i464]Jianbin Zheng, Daqing Liu, Chaoyue Wang, Minghui Hu, Zuopeng Yang, Changxing Ding, Dacheng Tao:
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis. CoRR abs/2305.05992 (2023) - [i463]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Prompt-Tuning Decision Transformer with Preference Ranking. CoRR abs/2305.09648 (2023) - [i462]Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao:
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. CoRR abs/2305.11584 (2023) - [i461]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. CoRR abs/2305.12972 (2023) - 2022
- [j595]Yuxiang Yang, Zhihao Ni, Mingyu Gao, Jing Zhang, Dacheng Tao:
Collaborative Pushing and Grasping of Tightly Stacked Objects via Deep Reinforcement Learning. IEEE CAA J. Autom. Sinica 9(1): 135-145 (2022) - [j594]Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao:
Semantic Edge Detection with Diverse Deep Supervision. Int. J. Comput. Vis. 130(1): 179-198 (2022) - [j593]Jizhizi Li, Jing Zhang, Stephen J. Maybank, Dacheng Tao:
Bridging Composite and Real: Towards End-to-End Deep Image Matting. Int. J. Comput. Vis. 130(2): 246-266 (2022) - [j592]Yuxiang Yang, Qi Cao, Jing Zhang, Dacheng Tao:
CODON: On Orchestrating Cross-Domain Attentions for Depth Super-Resolution. Int. J. Comput. Vis. 130(2): 267-284 (2022) - [j591]Jinlong Fan, Jing Zhang, Stephen J. Maybank, Dacheng Tao:
Wide-Angle Image Rectification: A Survey. Int. J. Comput. Vis. 130(3): 747-776 (2022) - [j590]Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao:
A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. Int. J. Comput. Vis. 130(3): 777-799 (2022) - [j589]Bo Du, Jian Ye, Jing Zhang, Juhua Liu, Dacheng Tao:
I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-Shaped Scene Text Detection. Int. J. Comput. Vis. 130(8): 1961-1977 (2022) - [j588]Wei Zhai, Hongchen Luo, Jing Zhang, Yang Cao, Dacheng Tao:
One-Shot Object Affordance Detection in the Wild. Int. J. Comput. Vis. 130(10): 2472-2500 (2022) - [j587]Sen Zhang, Jing Zhang, Dacheng Tao:
Information-Theoretic Odometry Learning. Int. J. Comput. Vis. 130(11): 2553-2570 (2022) - [j586]Guanyu Gao, Chengru Song, T. G. Thusitha Asela Bandara, Meng Shen, Fan Yang, Wolf Posdorfer, Dacheng Tao, Yonggang Wen:
FogChain: A Blockchain-Based Peer-to-Peer Solar Power Trading System Powered by Fog AI. IEEE Internet Things J. 9(7): 5200-5215 (2022) - [j585]Lixue Liu, Xueguan Song, Chao Zhang, Dacheng Tao:
GAN-MDF: An Enabling Method for Multifidelity Data Fusion. IEEE Internet Things J. 9(15): 13405-13415 (2022) - [j584]Jun Yu, Min Tan, Hongyuan Zhang, Yong Rui, Dacheng Tao:
Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 563-578 (2022) - [j583]Changxing Ding, Kan Wang, Pengfei Wang, Dacheng Tao:
Multi-Task Learning With Coarse Priors for Robust Part-Aware Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1474-1488 (2022) - [j582]Xu Yang, Cheng Deng, Tongliang Liu, Dacheng Tao:
Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1992-2003 (2022) - [j581]Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2453-2467 (2022) - [j580]Chaohui Wang, Huan Fu, Dacheng Tao, Michael J. Black:
Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2641-2656 (2022) - [j579]Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Optimizing Latent Distributions for Non-Adversarial Generative Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2657-2672 (2022) - [j578]Chen Gong, Qizhou Wang, Tongliang Liu, Bo Han, Jane You, Jian Yang, Dacheng Tao:
Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4163-4177 (2022) - [j577]