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Minlong Lu
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2020 – today
- 2024
- [c8]Minlong Lu, Yichen Lu, Siwei Nie, Xudong Yang, Xiaobo Zhang:
Self-supervised Video Copy Localization with Regional Token Representation. ECCV (12) 2024: 18-35 - 2023
- [j6]Xiao Dong, Xunlin Zhan, Yunchao Wei, Xiaoyong Wei, Yaowei Wang, Minlong Lu, Xiaochun Cao, Xiaodan Liang:
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-Level Product Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13117-13133 (2023) - [j5]Xiao Dong, Gengwei Zhang, Xunlin Zhan, Yi Ding, Yunchao Wei, Minlong Lu, Xiaodan Liang:
Caption-Aided Product Detection via Collaborative Pseudo-Label Harmonization. IEEE Trans. Multim. 25: 1916-1927 (2023) - [c7]Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang:
TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision. AAAI 2023: 799-807 - 2022
- [c6]Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang:
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. CVPR 2022: 21220-21230 - [c5]Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu:
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-Constrcution. IJCAI 2022: 3978-3984 - [i5]Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu:
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction. CoRR abs/2205.05889 (2022) - [i4]Xiao Dong, Xunlin Zhan, Yunchao Wei, Xiaoyong Wei, Yaowei Wang, Minlong Lu, Xiaochun Cao, Xiaodan Liang:
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval. CoRR abs/2206.08842 (2022) - [i3]Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang:
TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision. CoRR abs/2211.13090 (2022) - 2021
- [c4]Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang:
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining. ICCV 2021: 11762-11771 - [i2]Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang:
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining. CoRR abs/2107.14572 (2021) - [i1]Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Xiaoyong Wei, Minlong Lu, Xiaodan Liang:
M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks. CoRR abs/2109.04275 (2021)
2010 – 2019
- 2019
- [j4]Minlong Lu, Ze-Nian Li, Yueming Wang, Gang Pan:
Deep Attention Network for Egocentric Action Recognition. IEEE Trans. Image Process. 28(8): 3703-3713 (2019) - [c3]Minlong Lu, Danping Liao, Ze-Nian Li:
Learning Spatiotemporal Attention for Egocentric Action Recognition. ICCV Workshops 2019: 4425-4434 - 2017
- [p1]Yueming Wang, Minlong Lu, Zhaohui Wu, Xiaoxiang Zheng, Gang Pan:
Visual Cue-Guided Rat Cyborg. Brain-Computer Interface Research (6) 2017: 65-78 - 2016
- [c2]Minlong Lu, Zhiwei Deng, Ze-Nian Li:
Learning Contextual Dependencies for Optical Flow with Recurrent Neural Networks. ACCV (4) 2016: 68-83 - 2015
- [j3]Yueming Wang, Minlong Lu, Zhaohui Wu, Liwen Tian, Kedi Xu, Xiaoxiang Zheng, Gang Pan:
Visual Cue-Guided Rat Cyborg for Automatic Navigation [Research Frontier]. IEEE Comput. Intell. Mag. 10(2): 42-52 (2015) - [j2]Yuting Zhang, Gang Pan, Kui Jia, Minlong Lu, Yueming Wang, Zhaohui Wu:
Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters. IEEE Trans. Cybern. 45(9): 1864-1875 (2015) - [j1]Jianqiao Li, Minlong Lu, Ze-Nian Li:
Continuous Depth Map Reconstruction From Light Fields. IEEE Trans. Image Process. 24(11): 3257-3265 (2015) - 2013
- [c1]Minlong Lu, Yueming Wang, Gang Pan:
Generating fluent tubes in video synopsis. ICASSP 2013: 2292-2296
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