Spremljaj
Chenxi Liu
Chenxi Liu
Research Scientist, Google DeepMind
Preverjeni e-poštni naslov na google.com - Domača stran
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Leto
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
33112023
Progressive neural architecture search
C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
24742018
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
C Liu, LC Chen, F Schroff, H Adam, W Hua, AL Yuille, L Fei-Fei
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
12672019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
12352024
Few-shot image recognition by predicting parameters from activations
S Qiao, C Liu, W Shen, AL Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2018
6732018
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
5782021
Scene transformer: A unified architecture for predicting multiple agent trajectories
J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ...
arXiv preprint arXiv:2106.08417, 2021
387*2021
Attention correctness in neural image captioning
C Liu, J Mao, F Sha, A Yuille
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
2882017
Recurrent multimodal interaction for referring image segmentation
C Liu, Z Lin, X Shen, J Yang, X Lu, A Yuille
Proceedings of the IEEE international conference on computer vision, 1271-1280, 2017
2882017
Polyloss: A polynomial expansion perspective of classification loss functions
Z Leng, M Tan, C Liu, ED Cubuk, X Shi, S Cheng, D Anguelov
arXiv preprint arXiv:2204.12511, 2022
2222022
Micro-batch training with batch-channel normalization and weight standardization
S Qiao, H Wang, C Liu, W Shen, A Yuille
arXiv preprint arXiv:1903.10520, 2019
1832019
Rent3d: Floor-plan priors for monocular layout estimation
C Liu, AG Schwing, K Kundu, R Urtasun, S Fidler
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1742015
Adversarial attacks beyond the image space
X Zeng, C Liu, YS Wang, W Qiu, L Xie, YW Tai, CK Tang, AL Yuille
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1672019
Weight standardization
S Qiao, H Wang, C Liu, W Shen, A Yuille
1642019
Clevr-ref+: Diagnosing visual reasoning with referring expressions
R Liu, C Liu, Y Bai, AL Yuille
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1382019
V-NAS: Neural architecture search for volumetric medical image segmentation
Z Zhu, C Liu, D Yang, A Yuille, D Xu
2019 International conference on 3d vision (3DV), 240-248, 2019
1362019
Deep nets: What have they ever done for vision?
AL Yuille, C Liu
International Journal of Computer Vision 129 (3), 781-802, 2021
1332021
Swformer: Sparse window transformer for 3d object detection in point clouds
P Sun, M Tan, W Wang, C Liu, F Xia, Z Leng, D Anguelov
European Conference on Computer Vision, 426-442, 2022
1172022
Are labels necessary for neural architecture search?
C Liu, P Dollár, K He, R Girshick, A Yuille, S Xie
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
982020
Scene graph parsing as dependency parsing
YS Wang, C Liu, X Zeng, A Yuille
arXiv preprint arXiv:1803.09189, 2018
662018
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