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Chenxi Liu 0001
Person information
- affiliation: Waymo LLC, Mountain View, CA, USA
- affiliation (former): Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Chenxi Liu — disambiguation page
- Chenxi Liu 0002
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (and 2 more)
- Chenxi Liu 0003
— Hunan University, College of Computer and Engineering, Changsha, China
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2020 – today
- 2023
- [c23]Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov:
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CVPR 2023: 9329-9339 - [c22]Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan:
Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations. ICRA 2023: 7039-7045 - [c21]Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan:
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. IROS 2023: 1637-1644 - [i27]Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov:
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR abs/2306.03206 (2023) - [i26]Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan:
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. CoRR abs/2309.16870 (2023) - [i25]Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu:
De-Diffusion Makes Text a Strong Cross-Modal Interface. CoRR abs/2311.00618 (2023) - 2022
- [c20]Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov:
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) 2022: 158-175 - [c19]Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov:
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. ECCV (10) 2022: 426-442 - [c18]Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov:
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. ICLR 2022 - [c17]Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J. Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens:
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 2022 - [c16]Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov:
Multi-Class 3D Object Detection with Single-Class Supervision. ICRA 2022: 5123-5130 - [i24]Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov:
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. CoRR abs/2204.12511 (2022) - [i23]Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov:
Multi-Class 3D Object Detection with Single-Class Supervision. CoRR abs/2205.05703 (2022) - [i22]Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov:
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR abs/2210.05018 (2022) - [i21]Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov:
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. CoRR abs/2210.07372 (2022) - [i20]Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan:
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations. CoRR abs/2210.13488 (2022) - 2021
- [j1]Alan L. Yuille
, Chenxi Liu
:
Deep Nets: What have They Ever Done for Vision? Int. J. Comput. Vis. 129(3): 781-802 (2021) - [c15]Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao:
Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement. CVPR 2021: 9767-9776 - [c14]Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 2021: 9690-9699 - [i19]Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR abs/2104.10133 (2021) - [i18]Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao:
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement. CoRR abs/2106.05554 (2021) - [i17]Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens:
Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR abs/2106.08417 (2021) - 2020
- [c13]Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille
:
Identifying Model Weakness with Adversarial Examiner. AAAI 2020: 11998-12006 - [c12]Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille
, Saining Xie:
Are Labels Necessary for Neural Architecture Search? ECCV (4) 2020: 798-813 - [i16]Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie:
Are Labels Necessary for Neural Architecture Search? CoRR abs/2003.12056 (2020)
2010 – 2019
- 2019
- [c11]Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille
, Daguang Xu:
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. 3DV 2019: 240-248 - [c10]Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille
, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CVPR 2019: 82-92 - [c9]Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille
:
CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions. CVPR 2019: 4185-4194 - [c8]Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai
, Chi-Keung Tang, Alan L. Yuille
:
Adversarial Attacks Beyond the Image Space. CVPR 2019: 4302-4311 - [i15]Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille:
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions. CoRR abs/1901.00850 (2019) - [i14]Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CoRR abs/1901.02985 (2019) - [i13]Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille:
Weight Standardization. CoRR abs/1903.10520 (2019) - [i12]Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu:
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. CoRR abs/1906.02817 (2019) - [i11]Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille:
Rethinking Normalization and Elimination Singularity in Neural Networks. CoRR abs/1911.09738 (2019) - [i10]Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille:
Identifying Model Weakness with Adversarial Examiner. CoRR abs/1911.11230 (2019) - 2018
- [c7]Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille
:
Few-Shot Image Recognition by Predicting Parameters From Activations. CVPR 2018: 7229-7238 - [c6]Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li
, Li Fei-Fei, Alan L. Yuille
, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. ECCV (1) 2018: 19-35 - [c5]Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan L. Yuille
:
Scene Graph Parsing as Dependency Parsing. NAACL-HLT 2018: 397-407 - [i9]Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan L. Yuille:
Scene Graph Parsing as Dependency Parsing. CoRR abs/1803.09189 (2018) - [i8]Alan L. Yuille, Chenxi Liu:
Deep Nets: What have they ever done for Vision? CoRR abs/1805.04025 (2018) - 2017
- [c4]Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
Attention Correctness in Neural Image Captioning. AAAI 2017: 4176-4182 - [c3]Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille
:
Recurrent Multimodal Interaction for Referring Image Segmentation. ICCV 2017: 1280-1289 - [c2]Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang
, Wenjun Zhang, Qi Tian, Alan L. Yuille
:
SORT: Second-Order Response Transform for Visual Recognition. ICCV 2017: 1368-1377 - [c1]Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan L. Yuille
:
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. ICCV 2017: 1809-1818 - [i7]Yan Wang, Lingxi Xie, Chenxi Liu, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
SORT: Second-Order Response Transform for Visual Recognition. CoRR abs/1703.06993 (2017) - [i6]Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille:
Recurrent Multimodal Interaction for Referring Image Segmentation. CoRR abs/1703.07939 (2017) - [i5]Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan L. Yuille:
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. CoRR abs/1704.06752 (2017) - [i4]Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille:
Few-Shot Image Recognition by Predicting Parameters from Activations. CoRR abs/1706.03466 (2017) - [i3]Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille:
Adversarial Attacks Beyond the Image Space. CoRR abs/1711.07183 (2017) - [i2]Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. CoRR abs/1712.00559 (2017) - 2016
- [i1]Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
Attention Correctness in Neural Image Captioning. CoRR abs/1605.09553 (2016)
Coauthor Index
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