Chen, Xinlei
Tsinghua Shenzhen International Graduate School · Tsinghua University
9 papers on CoChatORCID 0000-0001-8271-5023
Most cited papers
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Masked Autoencoders Are Scalable Vision Learners
He, K., Chen, X., Xie, S., Li, Y., Dollar, P., & Girshick, R. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 8,489
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An Empirical Study of Training Self-Supervised Vision Transformers
Chen, X., Xie, S., & He, K. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 1,648
- Verified
Exploring Simple Siamese Representation Learning
Chen, X., & He, K. (2020) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 381
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Iterative Visual Reasoning Beyond Convolutions
Chen, X., Li, L.-J., Fei-Fei, L., & Gupta, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Advanced Neural Network ApplicationsMultimodal Machine Learning Applications
Cited by 236
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Embodied Amodal Recognition: Learning to Move to Perceive Objects
Yang, J., Ren, Z., Xu, M., Chen, X., Crandall, D., Parikh, D., & Batra, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsRobot Manipulation and Learning
Cited by 48
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UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces
Zhao, B., Fang, J., Dai, Z., Wang, Z., Zha, J., Zhang, W., Gao, C., Wang, Y., Cui, J., Chen, X., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Multimodal Machine Learning ApplicationsRobot Manipulation and Learning
Cited by 28
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Revisiting Feature Prediction for Learning Visual Representations from Video
Bardes, A., Garrido, Q., Ponce, J., Chen, X., Rabbat, M., LeCun, Y., Assran, M., & Ballas, N. (2024) · arXiv
Domain Adaptation and Few-Shot LearningHuman Pose and Action Recognition
Cited by 18
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Test-Time Training on Video Streams
Wang, R., Sun, Y., Tandon, A., Gandelsman, Y., Chen, X., Efros, A. A., & Wang, X. (2023) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 4
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Learning to (Learn at Test Time)
Sun, Y., Li, X., Dalal, K., Hsu, C., Koyejo, S., Guestrin, C., Wang, X., Hashimoto, T., & Chen, X. (2023) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 0
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