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Yuwen Xiong
Yuwen Xiong
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Deformable convolutional networks
J Dai, H Qi, Y Xiong, Y Li, G Zhang, H Hu, Y Wei
Proceedings of the IEEE international conference on computer vision, 764-773, 2017
68102017
Deep feature flow for video recognition
X Zhu, Y Xiong, J Dai, L Yuan, Y Wei
Proceedings of the IEEE conference on computer vision and pattern …, 2017
8532017
Upsnet: A unified panoptic segmentation network
Y Xiong, R Liao, H Zhao, R Hu, M Bai, E Yumer, R Urtasun
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
5102019
Polytransform: Deep polygon transformer for instance segmentation
J Liang, N Homayounfar, WC Ma, Y Xiong, R Hu, R Urtasun
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1962020
Deep rigid instance scene flow
WC Ma, S Wang, R Hu, Y Xiong, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1492019
Reviving and improving recurrent back-propagation
R Liao, Y Xiong, E Fetaya, L Zhang, KJ Yoon, X Pitkow, R Urtasun, ...
International Conference on Machine Learning, 3082-3091, 2018
1432018
Inference in probabilistic graphical models by graph neural networks
KJ Yoon, R Liao, Y Xiong, L Zhang, E Fetaya, R Urtasun, R Zemel, ...
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 868-875, 2019
1172019
Dmm-net: Differentiable mask-matching network for video object segmentation
X Zeng, R Liao, L Gu, Y Xiong, S Fidler, R Urtasun
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
982019
Collaborative deep ranking: A hybrid pair-wise recommendation algorithm with implicit feedback
H Ying, L Chen, Y Xiong, J Wu
Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016
942016
Discrete residual flow for probabilistic pedestrian behavior prediction
A Jain, S Casas, R Liao, Y Xiong, S Feng, S Segal, R Urtasun
Conference on Robot Learning, 407-419, 2020
822020
Loco: Local contrastive representation learning
Y Xiong, M Ren, R Urtasun
Advances in neural information processing systems 33, 11142-11153, 2020
732020
Weakly-supervised 3d shape completion in the wild
J Gu, WC Ma, S Manivasagam, W Zeng, Z Wang, Y Xiong, H Su, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
622020
Self-supervised representation learning from flow equivariance
Y Xiong, M Ren, W Zeng, R Urtasun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
442021
Efficient deformable convnets: Rethinking dynamic and sparse operator for vision applications
Y Xiong, Z Li, Y Chen, F Wang, X Zhu, J Luo, W Wang, T Lu, H Li, Y Qiao, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
372024
Learning unsupervised world models for autonomous driving via discrete diffusion
L Zhang, Y Xiong, Z Yang, S Casas, R Hu, R Urtasun
arXiv preprint arXiv:2311.01017, 2023
342023
Ultralidar: Learning compact representations for lidar completion and generation
Y Xiong, WC Ma, J Wang, R Urtasun
arXiv preprint arXiv:2311.01448, 2023
32*2023
Towards unsupervised object detection from lidar point clouds
L Zhang, AJ Yang, Y Xiong, S Casas, B Yang, M Ren, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
322023
Levelset r-cnn: A deep variational method for instance segmentation
N Homayounfar, Y Xiong, J Liang, WC Ma, R Urtasun
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
322020
Mm-interleaved: Interleaved image-text generative modeling via multi-modal feature synchronizer
C Tian, X Zhu, Y Xiong, W Wang, Z Chen, W Wang, Y Chen, L Lu, T Lu, ...
arXiv preprint arXiv:2401.10208, 2024
302024
Rethinking closed-loop training for autonomous driving
C Zhang, R Guo, W Zeng, Y Xiong, B Dai, R Hu, M Ren, R Urtasun
European Conference on Computer Vision, 264-282, 2022
282022
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