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Lijie Fan
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2020 – today
- 2024
- [b1]Lijie Fan:
Visual Representation Learning from Synthetic Data. MIT, USA, 2024 - [c15]Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian:
Scaling Laws of Synthetic Images for Model Training ... for Now. CVPR 2024: 7382-7392 - [c14]Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola:
Learning Vision from Models Rivals Learning Vision from Data. CVPR 2024: 15887-15898 - [i16]Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian:
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. CoRR abs/2410.13863 (2024) - 2023
- [j3]Bo Lu, Yue Sun, Lijie Fan, Xuejiao Ma, Hongbo Duan:
Evolutionary characteristics of global offshore carbon emissions network and responsibility allocation of emissions reduction. Patterns 4(10): 100801 (2023) - [c13]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CVPR 2023: 14528-14539 - [c12]Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian:
Improving CLIP Training with Language Rewrites. NeurIPS 2023 - [c11]Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan:
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. NeurIPS 2023 - [c10]Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi:
Addressing Feature Suppression in Unsupervised Visual Representations. WACV 2023: 1411-1420 - [i15]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CoRR abs/2304.03282 (2023) - [i14]Tianhong Li, Vibhaalakshmi Sivaraman, Lijie Fan, Mohammad Alizadeh, Dina Katabi:
Reparo: Loss-Resilient Generative Codec for Video Conferencing. CoRR abs/2305.14135 (2023) - [i13]Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian:
Improving CLIP Training with Language Rewrites. CoRR abs/2305.20088 (2023) - [i12]Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan:
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. CoRR abs/2306.00984 (2023) - [i11]Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian:
Scaling Laws of Synthetic Images for Model Training ... for Now. CoRR abs/2312.04567 (2023) - [i10]Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola:
Learning Vision from Models Rivals Learning Vision from Data. CoRR abs/2312.17742 (2023) - 2022
- [c9]Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR 2022: 6908-6918 - [c8]Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi:
Unsupervised Learning for Human Sensing Using Radio Signals. WACV 2022: 1091-1100 - [i9]Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi:
Unsupervised Learning for Human Sensing Using Radio Signals. CoRR abs/2207.02370 (2022) - 2021
- [c7]Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021: 21480-21492 - [i8]Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? CoRR abs/2111.01124 (2021) - [i7]Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CoRR abs/2111.13998 (2021) - 2020
- [c6]Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi:
Learning Longterm Representations for Person Re-Identification Using Radio Signals. CVPR 2020: 10696-10706 - [c5]Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi:
In-Home Daily-Life Captioning Using Radio Signals. ECCV (2) 2020: 105-123 - [i6]Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi:
Learning Longterm Representations for Person Re-Identification Using Radio Signals. CoRR abs/2004.01091 (2020) - [i5]Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi:
In-Home Daily-Life Captioning Using Radio Signals. CoRR abs/2008.10966 (2020) - [i4]Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Dina Katabi:
Information-Preserving Contrastive Learning for Self-Supervised Representations. CoRR abs/2012.09962 (2020)
2010 – 2019
- 2019
- [j2]Wen-bing Huang, Lijie Fan, Mehrtash Harandi, Lin Ma, Huaping Liu, Wei Liu, Chuang Gan:
Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks. IEEE Trans. Image Process. 28(4): 1773-1782 (2019) - [c4]Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. AAAI 2019: 3510-3517 - [c3]Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi:
Making the Invisible Visible: Action Recognition Through Walls and Occlusions. ICCV 2019: 872-881 - [i3]Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi:
Making the Invisible Visible: Action Recognition Through Walls and Occlusions. CoRR abs/1909.09300 (2019) - 2018
- [c2]Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang:
End-to-End Learning of Motion Representation for Video Understanding. CVPR 2018: 6016-6025 - [i2]Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang:
End-to-End Learning of Motion Representation for Video Understanding. CoRR abs/1804.00413 (2018) - [i1]Lijie Fan, Wen-bing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. CoRR abs/1808.02992 (2018) - 2017
- [c1]Wen-bing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang:
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding. NIPS 2017: 3444-3454 - 2015
- [j1]Qingkai Hou, Yang Liu, Lijie Fan, Shaoying Su:
Compressed sensing digital receiver and orthogonal reconstructing algorithm for wideband ISAR radar. Sci. China Inf. Sci. 58(2): 1-10 (2015)
Coauthor Index
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last updated on 2024-11-26 21:43 CET by the dblp team
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