Chenxi Liu

According to our database, Chenxi Liu authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

De-Diffusion Makes Text a Strong Cross-Modal Interface.

Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection.

Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan

IROS, 2023

Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations.

Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences.

Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations.

Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan

CoRR, 2022

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.

Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov

CoRR, 2022

Multi-Class 3D Object Detection with Single-Class Supervision.

Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Scene Transformer: A unified architecture for predicting future trajectories of multiple agents.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.

Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov

Proceedings of the Tenth International Conference on Learning Representations, 2022

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds.

Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds.

Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Deep Nets: What have They Ever Done for Vision?

Alan L. Yuille, Chenxi Liu

Int. J. Comput. Vis., 2021

Scene Transformer: A unified multi-task model for behavior prediction and planning.

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

CoRR, 2021

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement.

Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Are Labels Necessary for Neural Architecture Search?

Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie

Proceedings of the Computer Vision - ECCV 2020, 2020

Identifying Model Weakness with Adversarial Examiner.

Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rethinking Normalization and Elimination Singularity in Neural Networks.

Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille

CoRR, 2019

Weight Standardization.

Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille

CoRR, 2019

Adversarial Attacks Beyond the Image Space.

Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions.

Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation.

Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation.

Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Scene Graph Parsing as Dependency Parsing.

Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan L. Yuille

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Progressive Neural Architecture Search.

Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy

Proceedings of the Computer Vision - ECCV 2018, 2018

Few-Shot Image Recognition by Predicting Parameters From Activations.

Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Progressive Neural Architecture Search.

Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy

CoRR, 2017

SORT: Second-Order Response Transform for Visual Recognition.

Yan Wang, Lingxi Xie, Chenxi Liu, Ya Zhang, Wenjun Zhang, Alan L. Yuille

CoRR, 2017

SORT: Second-Order Response Transform for Visual Recognition.

Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan L. Yuille

Proceedings of the IEEE International Conference on Computer Vision, 2017

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond.

Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan L. Yuille

Proceedings of the IEEE International Conference on Computer Vision, 2017

Recurrent Multimodal Interaction for Referring Image Segmentation.

Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille

Proceedings of the IEEE International Conference on Computer Vision, 2017

Attention Correctness in Neural Image Captioning.

Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017