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Mingze Xu
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2020 – today
- 2024
- [j8]Mingze Xu
, Shunbo Lei, Chong Wang, Liang Liang, Junhua Zhao, Chaoyi Peng:
Resilient dynamic microgrid formation by deep reinforcement learning integrating physics-informed neural networks. Eng. Appl. Artif. Intell. 138: 109470 (2024) - [j7]Qingrui Sha
Detail-preserving image warping by enforcing smooth image sampling. Neural Networks 178: 106426 (2024) - [j6]Huixin Yang
Prediction of Solid Rocket Motor Performance Based on Deep Learning and Ignition Experimental Data. IEEE Trans. Aerosp. Electron. Syst. 60(5): 6241-6255 (2024) - [c24]Qingrui Sha, Kaicong Sun
Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. MICCAI (2) 2024: 662-672 - [i23]Mingze Xu, Mingfei Gao, Zhe Gan, Hong-You Chen, Zhengfeng Lai, Haiming Gang, Kai Kang, Afshin Dehghan:
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models. CoRR abs/2407.15841 (2024) - [i22]Ning Li, Huaikang Zhou, Mingze Xu:
From Text to Insight: Leveraging Large Language Models for Performance Evaluation in Management. CoRR abs/2408.05328 (2024) - [i21]Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang:
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. CoRR abs/2409.20566 (2024) - 2023
- [j5]Yu Yao
DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 444-459 (2023) - [j4]Huixin Yang, Shangshang Zheng, Xu Wang, Mingze Xu, Xiang Li:
Lightweight RepVGG-Based Cross-Modality Data Prediction Method for Solid Rocket Motors. Sensors 23(22): 9165 (2023) - [c23]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towards Skeleton-based Action Recognition in the Wild. ICCV 2023: 13588-13598 - [c22]Yicheng Ouyang, Kailai Shao, Kunqiu Chen, Ruobing Shen, Chao Chen, Mingze Xu, Yuqun Zhang, Lingming Zhang:
MirrorTaint: Practical Non-intrusive Dynamic Taint Tracking for JVM-based Microservice Systems. ICSE 2023: 2514-2526 - [i20]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR abs/2309.11445 (2023) - 2022
- [j3]Ning Wu, Huan Yu, Mingze Xu:
Alteration of brain nuclei in obese children with and without Prader-Willi syndrome. Frontiers Neuroinformatics 16 (2022) - [j2]Chuhua Wang
Stepwise Goal-Driven Networks for Trajectory Prediction. IEEE Robotics Autom. Lett. 7(2): 2716-2723 (2022) - [c21]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CVPR 2022: 8080-8090 - [c20]Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia:
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models. CVPR 2022: 8291-8300 - [c19]Jiaojiao Zhao, Yanyi Zhang, Xinyu Li, Hao Chen, Bing Shuai, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tubelet Transformer for Video Action Detection. CVPR 2022: 13588-13597 - [c18]Zhen Liao, Mingze Xu:
Research on Time Synchronization System of Wireless Network. ICCT 2022: 531-535 - [c17]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. NeurIPS 2022 - [i19]Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia:
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models. CoRR abs/2203.16755 (2022) - [i18]Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
MeMOT: Multi-Object Tracking with Memory. CoRR abs/2203.16761 (2022) - [i17]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. CoRR abs/2210.00129 (2022) - 2021
- [c16]Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia:
Learning Self-Consistency for Deepfake Detection. ICCV 2021: 15003-15013 - [c15]Yuchen Wang, Mingze Xu, John D. Paden, Lora S. Koenig, Geoffrey C. Fox, David J. Crandall:
Deep Tiered Image Segmentation for Detecting Internal ICE Layers in Radar Imagery. ICME 2021: 1-6 - [c14]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. NeurIPS 2021: 1086-1099 - [i16]Chuhua Wang, Yuchen Wang, Mingze Xu, David J. Crandall:
Stepwise Goal-Driven Networks for Trajectory Prediction. CoRR abs/2103.14107 (2021) - [i15]Wei Li, Yuanjun Xiong, Shuo Yang, Mingze Xu, Yongxin Wang, Wei Xia:
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning. CoRR abs/2107.02396 (2021) - [i14]Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. CoRR abs/2107.03377 (2021) - 2020
- [i13]Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Ella M. Atkins, David J. Crandall:
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos. CoRR abs/2004.03044 (2020) - [i12]Yuchen Wang, Mingze Xu, John Paden, Lora Koenig, Geoffrey C. Fox, David J. Crandall:
Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery. CoRR abs/2010.03712 (2020) - [i11]Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia:
Learning to Recognize Patch-Wise Consistency for Deepfake Detection. CoRR abs/2012.09311 (2020)
2010 – 2019
- 2019
- [j1]Victor Berger
Automated Ice-Bottom Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3272-3285 (2019) - [c13]Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra:
Embodied Amodal Recognition: Learning to Move to Perceive Objects. ICCV 2019: 2040-2050 - [c12]Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. ICCV 2019: 5531-5540 - [c11]Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. ICCV 2019: 5541-5550 - [c10]Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush:
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. ICRA 2019: 9711-9717 - [c9]Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins:
Unsupervised Traffic Accident Detection in First-Person Videos. IROS 2019: 273-280 - [i10]Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins:
Unsupervised Traffic Accident Detection in First-Person Videos. CoRR abs/1903.00618 (2019) - [i9]Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. CoRR abs/1903.09868 (2019) - [i8]Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra:
Embodied Visual Recognition. CoRR abs/1904.04404 (2019) - 2018
- [c8]Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall:
Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. ECCV (1) 2018: 656-672 - [c7]Victor Berger, Mingze Xu, Shane Chu, David J. Crandall, John Paden, Geoffrey C. Fox:
Automated Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S. IGARSS 2018: 4162-4165 - [c6]Mingze Xu, Chenyou Fan, John D. Paden, Geoffrey C. Fox, David J. Crandall:
Multi-task Spatiotemporal Neural Networks for Structured Surface Reconstruction. WACV 2018: 1273-1282 - [c5]Mingze Xu, Aidean Sharghi
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition. WACV 2018: 1607-1615 - [i7]Mingze Xu, Aidean Sharghi, Xin Chen, David J. Crandall:
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition. CoRR abs/1801.03983 (2018) - [i6]Mingze Xu, Chenyou Fan, John D. Paden, Geoffrey C. Fox, David J. Crandall:
Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction. CoRR abs/1801.03986 (2018) - [i5]Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall:
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos. CoRR abs/1803.11217 (2018) - [i4]Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush:
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. CoRR abs/1809.07408 (2018) - [i3]Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. CoRR abs/1811.07391 (2018) - 2017
- [c4]Chenyou Fan, Jangwon Lee
Identifying First-Person Camera Wearers in Third-Person Videos. CVPR 2017: 4734-4742 - [c3]Mingze Xu, David J. Crandall, Geoffrey C. Fox, John D. Paden:
Automatic estimation of ice bottom surfaces from radar imagery. ICIP 2017: 340-344 - [c2]Mohanad Al-Ibadi
DEM extraction of the basal topography of the Canadian archipelago ICE caps via 2D automated layer-tracker. IGARSS 2017: 965-968 - [i2]Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo:
Identifying First-person Camera Wearers in Third-person Videos. CoRR abs/1704.06340 (2017) - [i1]Mingze Xu, David J. Crandall, Geoffrey C. Fox, John Paden:
Automatic Estimation of Ice Bottom Surfaces from Radar Imagery. CoRR abs/1712.07758 (2017) - 2015
- [c1]Xiancai Ji, Zhi Qiao, Mingze Xu, Peng Zhang, Chuan Zhou, Li Guo:
Online Event Recommendation for Event-based Social Networks. WWW (Companion Volume) 2015: 45-46
Coauthor Index
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last updated on 2024-11-11 21:24 CET by the dblp team
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