Chenxi Liu - RankMe

52 papers A* 17A 1Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	De-Diffusion Makes Text a Strong Cross-Modal Interface. CVPR Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu
2023	J	`jnl`	De-Diffusion Makes Text a Strong Cross-Modal Interface. CoRR Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu
2023	A	`conf`	LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. IROS Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
2023	J	`jnl`	LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. CoRR Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
2023	A*	`conf`	Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations. ICRA Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2023	A*	`conf`	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CVPR Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
2023	J	`jnl`	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
2022	J	`jnl`	LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations. CoRR Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2022	—	`conf`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	A*	`conf`	Multi-Class 3D Object Detection with Single-Class Supervision. ICRA Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
2022	J	`jnl`	Multi-Class 3D Object Detection with Single-Class Supervision. CoRR Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
2022	A*	`conf`	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. ICLR Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov
2022	J	`jnl`	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. CoRR Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov
2022	—	`conf`	SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. ECCV (10) Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
2022	J	`jnl`	SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. CoRR Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
2022	A*	`conf`	Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 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
2021	J	`jnl`	Deep Nets: What have They Ever Done for Vision? Int. J. Comput. Vis. Alan L. Yuille, Chenxi Liu
2021	A*	`conf`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 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
2021	J	`jnl`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR 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
2021	A*	`conf`	Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement. CVPR Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao
2021	J	`jnl`	Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement. CoRR Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao
2021	J	`jnl`	Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR 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
2020	—	`conf`	Are Labels Necessary for Neural Architecture Search? ECCV (4) Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
2020	J	`jnl`	Are Labels Necessary for Neural Architecture Search? CoRR Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
2020	A*	`conf`	Identifying Model Weakness with Adversarial Examiner. AAAI Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille
2019	A*	`conf`	Adversarial Attacks Beyond the Image Space. CVPR Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille
2019	A*	`conf`	Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CVPR Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei
2019	J	`jnl`	Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CoRR Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei
2019	A*	`conf`	CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions. CVPR Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille
2019	J	`jnl`	CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions. CoRR Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille
2019	J	`jnl`	Identifying Model Weakness with Adversarial Examiner. CoRR Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille
2019	J	`jnl`	Rethinking Normalization and Elimination Singularity in Neural Networks. CoRR Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille
2019	—	`conf`	V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. 3DV Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu
2019	J	`jnl`	V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. CoRR Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu
2019	J	`jnl`	Weight Standardization. CoRR Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille
2018	J	`jnl`	Deep Nets: What have they ever done for Vision? CoRR Alan L. Yuille, Chenxi Liu
2018	A*	`conf`	Few-Shot Image Recognition by Predicting Parameters From Activations. CVPR Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille
2018	—	`conf`	Progressive Neural Architecture Search. ECCV (1) Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
2018	—	`conf`	Scene Graph Parsing as Dependency Parsing. NAACL-HLT Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan L. Yuille
2018	J	`jnl`	Scene Graph Parsing as Dependency Parsing. CoRR Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan L. Yuille
2017	J	`jnl`	Adversarial Attacks Beyond the Image Space. CoRR Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille
2017	A*	`conf`	Attention Correctness in Neural Image Captioning. AAAI Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille
2017	J	`jnl`	Few-Shot Image Recognition by Predicting Parameters from Activations. CoRR Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille
2017	J	`jnl`	Progressive Neural Architecture Search. CoRR Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
2017	A*	`conf`	Recurrent Multimodal Interaction for Referring Image Segmentation. ICCV Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille
2017	J	`jnl`	Recurrent Multimodal Interaction for Referring Image Segmentation. CoRR Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille
2017	A*	`conf`	SORT: Second-Order Response Transform for Visual Recognition. ICCV Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan L. Yuille
2017	J	`jnl`	SORT: Second-Order Response Transform for Visual Recognition. CoRR Yan Wang, Lingxi Xie, Chenxi Liu, Ya Zhang, Wenjun Zhang, Alan L. Yuille
2017	A*	`conf`	ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. ICCV Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan L. Yuille
2017	J	`jnl`	ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. CoRR Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan L. Yuille
2016	J	`jnl`	Attention Correctness in Neural Image Captioning. CoRR Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille