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Hongcheng Wang
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2020 – today
- 2024
- [j19]Jialin Zou, Hongcheng Wang:
Steel Surface Defect Detection Method Based on Improved YOLOv9 Network. IEEE Access 12: 124160-124170 (2024) - [j18]Mingjie Chen, Hongcheng Wang, Ruxin Wang, Yuzhong Peng, Hao Zhang:
CDRM: Causal disentangled representation learning for missing data. Knowl. Based Syst. 299: 112079 (2024) - [j17]Biao Xu, Xiaobao Liu, Wenjuan Gu, Jia Liu, Hongcheng Wang:
A fine segmentation model of flue-cured tobacco's main veins based on multi-level-scale features of hybrid fusion. Soft Comput. 28(17-18): 10537-10555 (2024) - [c28]Taotao Liu, Dongdong Zhang, Hongcheng Wang, Xumai Qi:
An Improved U-Net Model for Simultaneous Nuclei Segmentation and Classification. ICIC (6) 2024: 314-325 - [c27]Pirazh Khorramshahi, Zhe Wu, Tianchen Wang, Luke Deluccia, Hongcheng Wang:
Lightweight Delivery Detection on Doorbell Cameras. WACV 2024: 6947-6956 - [i16]Yuxing Long, Wenzhe Cai, Hongcheng Wang, Guanqi Zhan, Hao Dong:
InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment. CoRR abs/2406.04882 (2024) - [i15]Steven A. Grosz, Rui Zhao, Rajeev Ranjan, Hongcheng Wang, Manoj Aggarwal, Gerard Medioni, Anil K. Jain:
Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling. CoRR abs/2409.13915 (2024) - [i14]Hongcheng Wang, Peiqi Liu, Wenzhe Cai, Mingdong Wu, Zhengyu Qian, Hao Dong:
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-object Demand-driven Navigation. CoRR abs/2410.03488 (2024) - 2023
- [j16]Hongcheng Wang, Yuxuan Wang, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong:
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation. IEEE Robotics Autom. Lett. 8(6): 3899-3906 (2023) - [c26]Hongcheng Wang, Niansheng Chen, Guangyu Fan, Dingyu Yang, Lei Rao, Songlin Cheng:
An End-to-End Robotic Visual Localization Algorithm Based on Deep Learning. IJCNN 2023: 1-7 - [c25]Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li, Mingdong Wu, Hao Dong:
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation. NeurIPS 2023 - [i13]Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu:
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks. CoRR abs/2303.16563 (2023) - [i12]Hongcheng Wang, Yuxuan Wang, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong:
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation. CoRR abs/2304.10773 (2023) - [i11]Pirazh Khorramshahi, Zhe Wu, Tianchen Wang, Luke Deluccia, Hongcheng Wang:
Lightweight Delivery Detection on Doorbell Cameras. CoRR abs/2305.07812 (2023) - [i10]Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li, Mingdong Wu, Hao Dong:
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation. CoRR abs/2309.08138 (2023) - 2022
- [c24]Hongcheng Wang, Hao Wang, Hao Luo:
An improved multi-objective optimization algorithm for flexible job shop dynamic scheduling problem. IECON 2022: 1-6 - [c23]Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang, Xiang Chen:
FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization. WACV 2022: 3634-3644 - [i9]Yonatan Vaizman, Hongcheng Wang:
MapiFi: Using Wi-Fi Signals to Map Home Devices. CoRR abs/2202.04473 (2022) - [i8]Yonatan Vaizman, Hongcheng Wang:
Optimizing Wi-Fi Channel Selection in a Dense Neighborhood. CoRR abs/2211.03872 (2022) - 2021
- [j15]Xiaoqing Zheng, Jie Chen, Hongcheng Wang, Song Zheng, Yaguang Kong:
A deep learning-based approach for the automated surface inspection of copper clad laminate images. Appl. Intell. 51(3): 1262-1279 (2021) - [c22]Hongcheng Wang, Niansheng Chen, Dingyu Yang, Guangyu Fan:
Autonomous Navigation System for Indoor Mobile Robots Based on a Multi-sensor Fusion Technology. ChineseCSCW (1) 2021: 502-517 - [c21]Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. WACV 2021: 1109-1118 - [i7]Navdeep Jain, Hongcheng Wang:
Inclusive Speaker Verification with Adaptive thresholding. CoRR abs/2111.05501 (2021) - 2020
- [j14]Xiaoqing Zheng, Hongcheng Wang, Jie Chen, Yaguang Kong, Song Zheng:
A Generic Semi-Supervised Deep Learning-Based Approach for Automated Surface Inspection. IEEE Access 8: 114088-114099 (2020) - [j13]Usman Sajid, Hasan Sajid, Hongcheng Wang, Guanghui Wang:
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3499-3512 (2020) - [i6]Usman Sajid, Hasan Sajid, Hongcheng Wang, Guanghui Wang:
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images. CoRR abs/2002.12256 (2020) - [i5]Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. CoRR abs/2003.00197 (2020) - [i4]Toufiq Parag, Hongcheng Wang:
Multilayer Dense Connections for Hierarchical Concept Classification. CoRR abs/2003.09015 (2020) - [i3]Kehua Chen, Hongcheng Wang, Borja Valverde Perez, Luca Vezzaro, Aijie Wang:
Optimization of operation parameters towards sustainable WWTP based on deep reinforcement learning. CoRR abs/2008.10417 (2020)
2010 – 2019
- 2019
- [j12]Xin He, Yin Bo, Jie Du, Keguo Li, Hongcheng Wang, Zhongbao Zhao:
Landscape pattern analysis based on GIS technology and index analysis. Clust. Comput. 22(Supplement): 5749-5762 (2019) - [c20]Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry Davis:
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions. ICCV 2019: 1262-1272 - 2018
- [c19]Ruichi Yu, Hongcheng Wang, Larry S. Davis:
ReMotENet: Efficient Relevant Motion Event Detection for Large-Scale Home Surveillance Videos. WACV 2018: 1642-1651 - [i2]Ruichi Yu, Hongcheng Wang, Larry S. Davis:
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos. CoRR abs/1801.02031 (2018) - [i1]Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry S. Davis:
Representing Videos based on Scene Layouts for Recognizing Agent-in-Place Actions. CoRR abs/1804.01429 (2018) - 2017
- [j11]Guihua Chen, Yan Liu, Hongcheng Wang:
Mixed-mode solitons in quadrupolar BECs with spin-orbit coupling. Commun. Nonlinear Sci. Numer. Simul. 48: 318-325 (2017) - [j10]Xiaoping Ren, Hong Wang, Hongcheng Wang, Yuanhang Weng:
Dynamics of PT-asymmetric multi-peak solitons with complex potentials. Commun. Nonlinear Sci. Numer. Simul. 49: 102-112 (2017) - [c18]Qi Zhang, Hongcheng Wang, Zhiyu Zhou:
A Location Decision for Chinese Remanufacturing Logistics Network Based on Improved Super-Efficiency DEA: Carbon Emission Constraints Perspective. ICIBE 2017: 87-92 - 2016
- [j9]Hongcheng Wang, Demetrios N. Christodoulides:
Two dimensional gap solitons in self-defocusing media with PT-symmetric superlattice. Commun. Nonlinear Sci. Numer. Simul. 38: 130-139 (2016) - [j8]Hongcheng Wang, Ziyou Xiong, Alan M. Finn, Zaffir Chaudhry:
A context-driven approach to image-based crack detection. Mach. Vis. Appl. 27(7): 1103-1114 (2016) - 2015
- [j7]Zhen Jia, Jianwei Zhao, Hongcheng Wang, Ziyou Xiong, Alan Finn:
A two-step face hallucination approach for video surveillance applications. Multim. Tools Appl. 74(6): 1845-1862 (2015) - 2014
- [c17]Hongcheng Wang, Hongbo Zhou, Alan Finn:
Discriminative dictionary learning via shared latent structure for object recognition and activity recognition. ICRA 2014: 6299-6304 - 2013
- [c16]Hongcheng Wang, Alan Finn, Ozgur Erdinc, Antonio Vincitore:
Spatial-temporal structural and dynamics features for Video Fire Detection. WACV 2013: 513-519 - 2012
- [j6]Zhen Jia, Hongcheng Wang, Rodrigo E. Caballero, Ziyou Xiong, Jianwei Zhao, Alan Finn:
A two-step approach to see-through bad weather for surveillance video quality enhancement. Mach. Vis. Appl. 23(6): 1059-1082 (2012) - 2011
- [c15]Zhen Jia, Hongcheng Wang, Ziyou Xiong, Alan Finn:
Fast face hallucination with sparse representation for video surveillance. ACPR 2011: 179-183 - [c14]Zhen Jia, Hongcheng Wang, Rodrigo E. Caballero, Ziyou Xiong, Jianwei Zhao, Alan Finn:
A two-step approach to see-through bad weather for surveillance video quality enhancement. ICRA 2011: 5309-5314 - 2010
- [c13]Zhen Jia, Hongcheng Wang, Rodrigo E. Caballero, Ziyou Xiong, Jianwei Zhao, Alan Finn:
Real-time content adaptive contrast enhancement for see-through fog and rain. ICASSP 2010: 1378-1381 - [c12]Serge L. Shishkin, Hongcheng Wang, Gregory S. Hagen:
Total Variation Minimization with Separable Sensing Operator. ICISP 2010: 86-93
2000 – 2009
- 2008
- [j5]Hongcheng Wang, Narendra Ahuja:
A Tensor Approximation Approach to Dimensionality Reduction. Int. J. Comput. Vis. 76(3): 217-229 (2008) - [j4]Juan Carlos Niebles, Hongcheng Wang, Li Fei-Fei:
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. Int. J. Comput. Vis. 79(3): 299-318 (2008) - [j3]Qing Wu, Tian Xia, Chun Chen, Hsueh-Yi Sean Lin, Hongcheng Wang, Yizhou Yu:
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data. IEEE Trans. Vis. Comput. Graph. 14(1): 186-199 (2008) - 2007
- [j2]Hongcheng Wang, Ning Xu, Ramesh Raskar, Narendra Ahuja:
Videoshop: A new framework for spatio-temporal video editing in gradient domain. Graph. Model. 69(1): 57-70 (2007) - 2006
- [b1]Hongcheng Wang:
Recognition, Mining, Synthesis and Estimation (Rmse) for Large-Scale Visual Data Using Multilinear Models. University of Illinois Urbana-Champaign, USA, 2006 - [c11]Juan Carlos Niebles, Hongcheng Wang, Li Fei-Fei:
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. BMVC 2006: 1249-1258 - [c10]Hongcheng Wang, Yunqiang Chen, Tong Fang, Jason Tyan, Narendra Ahuja:
Gradient Adaptive Image Restoration and Enhancement. ICIP 2006: 2893-2896 - [c9]Tian-Li Yu, Hongcheng Wang, Narendra Ahuja, Wei-Chao Chen:
Sparse Lumigraph Relighting by Illumination and Reflectance Estimation from Multi-View Images. Rendering Techniques 2006: 41-50 - [c8]Tian-Li Yu, Hongcheng Wang, Narendra Ahuja, Wei-Chao Chen:
Sparse lumigraph relighting by illumination and reflectance estimation from multi-view images. SIGGRAPH Sketches 2006: 175 - 2005
- [j1]Hongcheng Wang, Qing Wu, Lin Shi, Yizhou Yu, Narendra Ahuja:
Out-of-core tensor approximation of multi-dimensional matrices of visual data. ACM Trans. Graph. 24(3): 527-535 (2005) - [c7]Hongcheng Wang, Narendra Ahuja:
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation. CVPR (2) 2005: 346-353 - [c6]Hongcheng Wang, Ning Xu, Ramesh Raskar, Narendra Ahuja:
Videoshop: A New Framework for Spatio-Temporal Video Editing in Gradient Domain. CVPR (2) 2005: 1201 - [c5]Yunqiang Chen, Hongcheng Wang, Tong Fang, Jason Tyan:
Image Compounding Based on Independent Noise Constraint. ICASSP (2) 2005: 109-112 - [c4]Yunqiang Chen, Hongcheng Wang, Tong Fang, Jason Tyan:
Mutual Information Regularized Bayesian Framework for Multiple Image Restoration. ICCV 2005: 190-197 - 2004
- [c3]Hongcheng Wang, Narendra Ahuja:
Compact Representation of Multidimensional Data Using Tensor Rank-One Decomposition. ICPR (1) 2004: 44-47 - [c2]Hongcheng Wang, Ramesh Raskar, Narendra Ahuja:
Seamless Video Editing. ICPR (3) 2004: 858-861 - 2003
- [c1]Hongcheng Wang, Narendra Ahuja:
Facial Expression Decomposition. ICCV 2003: 958-965
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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