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2020 – today
- 2024
[i19]Chenyu Wang, Weixin Luo, Qianyu Chen, Haonan Mai, Jindi Guo, Sixun Dong, Xiaohua Xuan, Zhengxin Li, Lin Ma, Shenghua Gao:
MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning. CoRR abs/2401.10727 (2024)- 2023
- [c24]Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao:
Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. CVPR 2023: 2437-2447 - [c23]Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang, Lin Ma:
E2E-LOAD: End-to-End Long-form Online Action Detection. ICCV 2023: 10388-10398 - [i18]Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao:
Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. CoRR abs/2303.12370 (2023) - [i17]Feng Yan, Weixin Luo, Yujie Zhong, Yiyang Gan, Lin Ma:
Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking. CoRR abs/2305.12724 (2023) - [i16]Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang, Lin Ma:
E2E-LOAD: End-to-End Long-form Online Action Detection. CoRR abs/2306.07703 (2023) - 2022
- [j11]Weixin Luo
, Wen Liu, Dongze Lian, Shenghua Gao:
Future Frame Prediction Network for Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7505-7520 (2022) - [j10]Dongze Lian, Xianing Chen, Jing Li, Weixin Luo, Shenghua Gao:
Locating and Counting Heads in Crowds With a Depth Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9056-9072 (2022) - [j9]Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao:
Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images. IEEE Trans. Medical Imaging 41(3): 582-594 (2022) - [j8]Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao:
Memorizing Structure-Texture Correspondence for Image Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2335-2349 (2022) - [c22]Jiaming Chen, Weixin Luo, Wei Zhang, Lin Ma:
Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding. AAAI 2022: 267-275 - [c21]Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. CVPR 2022: 19858-19870 - [i15]Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang, Lin Ma:
A Circular Window-based Cascade Transformer for Online Action Detection. CoRR abs/2208.14209 (2022) - [i14]Jiaming Chen, Weixin Luo, Xiaolin Wei, Lin Ma, Wei Zhang:
HAM: Hierarchical Attention Model with High Performance for 3D Visual Grounding. CoRR abs/2210.12513 (2022) - [i13]Feng Yan, Zhiheng Li, Weixin Luo, Zequn Jie, Fan Liang, Xiaolin Wei, Lin Ma:
Multiple Object Tracking Challenge Technical Report for Team MT_IoT. CoRR abs/2212.03586 (2022) - 2021
- [j7]Weixin Luo, Wen Liu, Shenghua Gao:
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection. Neurocomputing 444: 332-337 (2021) - [j6]Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao:
Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1070-1084 (2021) - [c20]Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao:
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. AAAI 2021: 2995-3003 - [c19]Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao:
Prior Based Human Completion. CVPR 2021: 7951-7961 - [c18]Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao:
Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild. CVPR 2021: 15445-15454 - [c17]Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao:
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. CVPR 2021: 16888-16897 - [c16]Yang Jiao, Zequn Jie, Weixin Luo, Jingjing Chen, Yu-Gang Jiang, Xiaolin Wei, Lin Ma:
Two-stage Visual Cues Enhancement Network for Referring Image Segmentation. ACM Multimedia 2021: 1331-1340 - [p1]Weixin Luo, Wen Liu, Shenghua Gao:
Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection. Generalization with Deep Learning 2021: 139-155 - [i12]Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao:
Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild. CoRR abs/2103.10391 (2021) - [i11]Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao:
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. CoRR abs/2104.04386 (2021) - [i10]Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao:
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images. CoRR abs/2110.01761 (2021) - [i9]Yang Jiao, Zequn Jie, Weixin Luo, Jingjing Chen, Yu-Gang Jiang, Xiaolin Wei, Lin Ma:
Two-stage Visual Cues Enhancement Network for Referring Image Segmentation. CoRR abs/2110.04435 (2021) - [i8]Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. CoRR abs/2112.06447 (2021) - 2020
- [j5]Yanyan Fang, Shenghua Gao, Jing Li, Weixin Luo, Linfang He, Bo Hu:
Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting. Neurocomputing 392: 98-107 (2020) - [c15]Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao:
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. ECCV (20) 2020: 360-377 - [c14]Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee:
Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. ECCV (23) 2020: 727-743 - [c13]Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao:
SIRI: Spatial Relation Induced Network For Spatial Description Resolution. NeurIPS 2020 - [i7]Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao:
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. CoRR abs/2008.03632 (2020) - [i6]Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao:
SIRI: Spatial Relation Induced Network For Spatial Description Resolution. CoRR abs/2010.14301 (2020) - [i5]Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao:
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. CoRR abs/2012.05598 (2020)
2010 – 2019
- 2019
- [j4]Jia Zheng, Weixin Luo, Zhixin Piao:
Cascaded ConvLSTMs Using Semantically-Coherent Data Synthesis for Video Object Segmentation. IEEE Access 7: 132120-132129 (2019) - [j3]Dongze Lian, Lina Hu, Weixin Luo, Yanyu Xu, Lixin Duan, Jingyi Yu, Shenghua Gao:
Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3010-3023 (2019) - [c12]Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao:
RGBD Based Gaze Estimation via Multi-Task CNN. AAAI 2019: 2488-2495 - [c11]Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao:
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. CVPR 2019: 1821-1830 - [c10]Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao:
PPGNet: Learning Point-Pair Graph for Line Segment Detection. CVPR 2019: 7105-7114 - [c9]Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao:
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. IJCAI 2019: 3023-3030 - [i4]Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao:
PPGNet: Learning Point-Pair Graph for Line Segment Detection. CoRR abs/1905.03415 (2019) - [i3]Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee:
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers. CoRR abs/1911.11759 (2019) - 2018
- [c8]Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao:
Future Frame Prediction for Anomaly Detection - A New Baseline. CVPR 2018: 6536-6545 - [c7]Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao:
Face Aging With Identity-Preserved Conditional Generative Adversarial Networks. CVPR 2018: 7939-7947 - [c6]Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu:
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading. EMBC 2018: 2724-2727 - [i2]Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu:
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang. CoRR abs/1808.10564 (2018) - 2017
- [j2]Meng Yang, Heyou Chang, Weixin Luo:
Discriminative analysis-synthesis dictionary learning for image classification. Neurocomputing 219: 404-411 (2017) - [j1]Meng Yang, Heyou Chang, Weixin Luo, Jian Yang:
Fisher discrimination dictionary pair learning for image classification. Neurocomputing 269: 13-20 (2017) - [c5]Weixin Luo, Wen Liu, Shenghua Gao:
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework. ICCV 2017: 341-349 - [c4]Weixin Luo, Wen Liu, Shenghua Gao:
Remembering history with convolutional LSTM for anomaly detection. ICME 2017: 439-444 - [i1]Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao:
Future Frame Prediction for Anomaly Detection - A New Baseline. CoRR abs/1712.09867 (2017) - 2016
- [c3]Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen:
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification. AAAI 2016: 2251-2257 - 2015
- [c2]Meng Yang, Weixin Luo, Linlin Shen:
Dictionary Pair Learning with Block-Diagonal Structure for Image Classification. IScIDE (1) 2015: 288-299 - 2014
- [c1]Weixin Luo, Xuan Yang, Xiaoxiao Nan, Bingfeng Hu:
GPU Accelerated 3D Image Deformation Using Thin-Plate Splines. HPCC/CSS/ICESS 2014: 1142-1149
Coauthor Index
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last updated on 2024-11-13 23:45 CET by the dblp team
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