Xiao, Tete
Meta AI Research,FAIR
8 papers on CoChatORCID 0009-0006-6440-2393
Most cited papers
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Segment Anything
Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W.-Y., et al. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 11,953
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Unified Perceptual Parsing for Scene Understanding
Xiao, T., Liu, Y., Zhou, B., Jiang, Y., & Sun, J. (2018) · Lecture Notes in Computer Science
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 2,201
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Semantic Understanding of Scenes Through the ADE20K Dataset
Zhou, B., Zhao, H., Puig, X., Xiao, T., Fidler, S., Barriuso, A., & Torralba, A. (2019) · International Journal of Computer Vision
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 1,831
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Acquisition of Localization Confidence for Accurate Object Detection
Jiang, B., Luo, R., Mao, J., Xiao, T., & Jiang, Y. (2018) · Lecture Notes in Computer Science
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 1,059
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CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shao, S., Zhao, Z., Li, B., Xiao, T., Yu, G., Zhang, X., & Sun, J. (2018) · arXiv
Advanced Neural Network ApplicationsHuman Pose and Action Recognition
Cited by 534
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Segment Anything
Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W.-Y., et al. (2023) · arXiv
Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection
Cited by 527
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MegDet: A Large Mini-Batch Object Detector
Peng, C., Xiao, T., Li, Z., Jiang, Y., Zhang, X., Jia, K., Yu, G., & Sun, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 311
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What Can Help Pedestrian Detection?
Mao, J., Xiao, T., Jiang, Y., & Cao, Z. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods
Cited by 306
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