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Lijie Fan
Lijie Fan
Google DeepMind, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities
G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ...
arXiv preprint arXiv:2507.06261, 2025
13372025
Targeted supervised contrastive learning for long-tailed recognition
T Li, P Cao, Y Yuan, L Fan, Y Yang, RS Feris, P Indyk, D Katabi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
3172022
Improving clip training with language rewrites
L Fan, D Krishnan, P Isola, D Katabi, Y Tian
Advances in Neural Information Processing Systems 36, 35544-35575, 2023
3032023
End-to-end learning of motion representation for video understanding
L Fan, W Huang, C Gan, S Ermon, B Gong, J Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2782018
Stablerep: Synthetic images from text-to-image models make strong visual representation learners
Y Tian, L Fan, P Isola, H Chang, D Krishnan
Advances in Neural Information Processing Systems 36, 2024
2212024
Making the invisible visible: Action recognition through walls and occlusions
T Li, L Fan, M Zhao, Y Liu, D Katabi
Proceedings of the IEEE/CVF International Conference on Computer Vision, 872-881, 2019
1832019
When does contrastive learning preserve adversarial robustness from pretraining to finetuning?
L Fan, S Liu, PY Chen, G Zhang, C Gan
Advances in neural information processing systems 34, 21480-21492, 2021
1592021
Learning longterm representations for person re-identification using radio signals
L Fan, T Li, R Fang, R Hristov, Y Yuan, D Katabi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1392020
Scaling laws of synthetic images for model training... for now
L Fan, K Chen, D Krishnan, D Katabi, P Isola, Y Tian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
1202024
Fluid: Scaling autoregressive text-to-image generative models with continuous tokens
L Fan, T Li, S Qin, Y Li, C Sun, M Rubinstein, D Sun, K He, Y Tian
arXiv preprint arXiv:2410.13863, 2024
992024
Learning vision from models rivals learning vision from data
Y Tian, L Fan, K Chen, D Katabi, D Krishnan, P Isola
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024
882024
In-home daily-life captioning using radio signals
L Fan, T Li, Y Yuan, D Katabi
European Conference on Computer Vision, 105-123, 2020
742020
Unsupervised learning for human sensing using radio signals
T Li, L Fan, Y Yuan, D Katabi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
582022
Controllable image-to-video translation: A case study on facial expression generation
L Fan, W Huang, C Gan, J Huang, B Gong
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3510-3517, 2019
522019
Toward efficient action recognition: Principal backpropagation for training two-stream networks
W Huang, L Fan, M Harandi, L Ma, H Liu, W Liu, C Gan
IEEE Transactions on Image Processing 28 (4), 1773-1782, 2018
442018
Addressing feature suppression in unsupervised visual representations
T Li, L Fan, Y Yuan, H He, Y Tian, R Feris, P Indyk, D Katabi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
34*2023
Unified autoregressive visual generation and understanding with continuous tokens
L Fan, L Tang, S Qin, T Li, X Yang, S Qiao, A Steiner, C Sun, Y Li, T Zhu, ...
arXiv preprint arXiv:2503.13436, 2025
272025
Fractal generative models
T Li, Q Sun, L Fan, K He
arXiv preprint arXiv:2502.17437, 2025
272025
Reparo: Loss-resilient generative codec for video conferencing
T Li, V Sivaraman, P Karimi, L Fan, M Alizadeh, D Katabi
arXiv preprint arXiv:2305.14135, 2023
192023
Visual dependency transformers: Dependency tree emerges from reversed attention
M Ding, Y Shen, L Fan, Z Chen, Z Chen, P Luo, JB Tenenbaum, C Gan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
192023
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