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2020 – today
- 2024
[j1]Cong Wang, Tong Zhou, Maode Ma
, Yuwen Xiong, Xiankun Zhang, Chao Liu:
An efficient certificateless blockchain-enabled authentication scheme to secure producer mobility in named data networks. J. Netw. Comput. Appl. 232: 104007 (2024)- [c25]Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. CVPR 2024: 5652-5661 - [c24]Yuwen Xiong, Cong Wang, Chuang Chen, Jiawen Xu, Maode Ma, Tong Zhou:
Design of a Blockchain-Based Trust Model for Detecting Cache Poisoning Attakcs in NDN. ICIC (10) 2024: 522-529 - [c23]Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun:
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. ICLR 2024 - [i27]Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. CoRR abs/2401.06197 (2024) - [i26]Changyao Tian, Xizhou Zhu, Yuwen Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Yuntao Chen, Lewei Lu, Tong Lu, Jie Zhou, Hongsheng Li, Yu Qiao, Jifeng Dai:
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer. CoRR abs/2401.10208 (2024) - [i25]Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren:
PooDLe: Pooled and dense self-supervised learning from naturalistic videos. CoRR abs/2408.11208 (2024) - 2023
- [c22]Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun:
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRL 2023: 1316-1334 - [c21]Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun:
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRL 2023: 3364-3383 - [c20]Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun:
Learning Compact Representations for LiDAR Completion and Generation. CVPR 2023: 1074-1083 - [c19]Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun:
Towards Unsupervised Object Detection from LiDAR Point Clouds. CVPR 2023: 9317-9328 - [i24]Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun:
Rethinking Closed-loop Training for Autonomous Driving. CoRR abs/2306.15713 (2023) - [i23]Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun:
Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. CoRR abs/2311.01017 (2023) - [i22]Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun:
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRR abs/2311.01444 (2023) - [i21]Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun:
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRR abs/2311.01446 (2023) - [i20]Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun:
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. CoRR abs/2311.01448 (2023) - [i19]Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun:
Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR abs/2311.02007 (2023) - 2022
- [c18]Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun:
Rethinking Closed-Loop Training for Autonomous Driving. ECCV (39) 2022: 264-282 - 2021
- [c17]Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi:
Self-Supervised Representation Learning from Flow Equivariance. ICCV 2021: 10171-10180 - [c16]Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Occupancy Forecasting. IROS 2021: 1015-1022 - [i18]Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR abs/2101.02385 (2021) - [i17]Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun:
Self-Supervised Representation Learning from Flow Equivariance. CoRR abs/2101.06553 (2021) - [i16]Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun:
Cost-Efficient Online Hyperparameter Optimization. CoRR abs/2101.06590 (2021) - [i15]Wenyuan Zeng, Yuwen Xiong, Raquel Urtasun:
Network Automatic Pruning: Start NAP and Take a Nap. CoRR abs/2101.06608 (2021) - 2020
- [c15]Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun:
PolyTransform: Deep Polygon Transformer for Instance Segmentation. CVPR 2020: 9128-9137 - [c14]Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun:
Weakly-Supervised 3D Shape Completion in the Wild. ECCV (5) 2020: 283-299 - [c13]Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun:
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. ECCV (23) 2020: 555-571 - [c12]Yuwen Xiong, Mengye Ren, Raquel Urtasun:
LoCo: Local Contrastive Representation Learning. NeurIPS 2020 - [i14]Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun:
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. CoRR abs/2007.15629 (2020) - [i13]Yuwen Xiong, Mengye Ren, Raquel Urtasun:
LoCo: Local Contrastive Representation Learning. CoRR abs/2008.01342 (2020) - [i12]Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun:
Weakly-supervised 3D Shape Completion in the Wild. CoRR abs/2008.09110 (2020)
2010 – 2019
- 2019
- [c11]KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow:
Inference in Probabilistic Graphical Models by Graph Neural Networks. ACSSC 2019: 868-875 - [c10]Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun:
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRL 2019: 407-419 - [c9]Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun:
Deep Rigid Instance Scene Flow. CVPR 2019: 3614-3622 - [c8]Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun:
UPSNet: A Unified Panoptic Segmentation Network. CVPR 2019: 8818-8826 - [c7]Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun:
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. ICCV 2019: 3928-3937 - [i11]Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun:
UPSNet: A Unified Panoptic Segmentation Network. CoRR abs/1901.03784 (2019) - [i10]Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun:
Deep Rigid Instance Scene Flow. CoRR abs/1904.08913 (2019) - [i9]Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun:
Deformable Filter Convolution for Point Cloud Reasoning. CoRR abs/1907.13079 (2019) - [i8]Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun:
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. CoRR abs/1909.12471 (2019) - [i7]Yuwen Xiong, Mengye Ren, Raquel Urtasun:
Learning to Remember from a Multi-Task Teacher. CoRR abs/1910.04650 (2019) - [i6]Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun:
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRR abs/1910.08041 (2019) - [i5]Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun:
PolyTransform: Deep Polygon Transformer for Instance Segmentation. CoRR abs/1912.02801 (2019) - 2018
- [c6]KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow:
Inference in probabilistic graphical models by Graph Neural Networks. ICLR (Workshop) 2018 - [c5]Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel:
Reviving and Improving Recurrent Back-Propagation. ICML 2018: 3088-3097 - [i4]Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel:
Reviving and Improving Recurrent Back-Propagation. CoRR abs/1803.06396 (2018) - [i3]KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow:
Inference in Probabilistic Graphical Models by Graph Neural Networks. CoRR abs/1803.07710 (2018) - 2017
- [c4]Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei:
Deep Feature Flow for Video Recognition. CVPR 2017: 4141-4150 - [c3]Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei:
Deformable Convolutional Networks. ICCV 2017: 764-773 - [i2]Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei:
Deformable Convolutional Networks. CoRR abs/1703.06211 (2017) - 2016
- [c2]Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. PAKDD (2) 2016: 555-567 - [c1]Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation. WWW (Companion Volume) 2016: 137-138 - [i1]Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei:
Deep Feature Flow for Video Recognition. CoRR abs/1611.07715 (2016)
Coauthor Index
aka: Raquel Urtasun Waabi
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last updated on 2024-11-19 21:45 CET by the dblp team
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