Chenxi Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	A LoRA is Worth a Thousand Pictures	2024	Chenxi Liu Towaki Takikawa Alec Jacobson
+ PDF Chat	OPTune: Efficient Online Preference Tuning	2024	Li-chang Chen Jiuhai Chen Chenxi Liu John Kirchenbauer Davit Soselia Chen Zhu Tom Goldstein Tianyi Zhou Heng Huang
+ PDF Chat	MuseumMaker: Continual Style Customization without Catastrophic Forgetting	2024	Chenxi Liu Gan Sun Wenqi Liang Jiahua Dong Can Qin Yang Cong
+ PDF Chat	Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt	2024	Chenxi Liu Zhenyi Wang Tianyi Xiong Ruibo Chen Yihan Wu Junfeng Guo Heng Huang
+ PDF Chat	Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection	2024	Ruibo Chen Yihan Wu Lichang Chen Guodong Liu Qi He Tianyi Xiong Chenxi Liu Junfeng Guo Heng Huang
+ PDF Chat	LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection	2023	Tong He Pei Sun Zhaoqi Leng Chenxi Liu Dragomir Anguelov Mingxing Tan
+ PDF Chat	I3DOD: Towards Incremental 3D Object Detection via Prompting	2023	Wenqi Liang Gan Sun Chenxi Liu Jiahua Dong Kangru Wang
+ PDF Chat	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences	2023	Yingwei Li Charles R. Qi Yin Zhou Chenxi Liu Dragomir Anguelov
+	DEJA VU: Continual Model Generalization For Unseen Domains	2023	Chenxi Liu Lixu Wang Lingjuan Lyu Chen Sun Xiao Wang Qi Zhu
+	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences	2023	Yingwei Li Charles R. Qi Yin Zhou Chenxi Liu Dragomir Anguelov
+	I3DOD: Towards Incremental 3D Object Detection via Prompting	2023	Wenqi Liang Gan Sun Chenxi Liu Jiahua Dong Kangru Wang
+	LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection	2023	Tong He Pei Sun Zhaoqi Leng Chenxi Liu Dragomir Anguelov Mingxing Tan
+	ConTesse: Accurate Occluding Contours for Subdivision Surfaces	2022	Chenxi Liu Pierre Bénard Aaron Hertzmann Shayan Hoshyari
+	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions	2022	Zhaoqi Leng Mingxing Tan Chenxi Liu Ekin D. Cubuk X. D. Shi Shuyang Cheng Dragomir Anguelov
+	SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds	2022	Pei Sun Mingxing Tan Weiyue Wang Chenxi Liu Fei Xia Zhaoqi Leng Dragomir Anguelov
+ PDF Chat	SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds	2022	Pei Sun Mingxing Tan Weiyue Wang Chenxi Liu Fei Xia Zhaoqi Leng Dragomir Anguelov
+	ConTesse: Accurate Occluding Contours for Smooth Surfaces.	2021	Chenxi Liu Pierre Bénard Aaron Hertzmann Shayan Hoshyari
+ PDF Chat	ConTesse: Accurate Occluding Contours for Smooth Surfaces	2021	Chenxi Liu Pierre Bénard Aaron Hertzmann Shayan Hoshyari
+ PDF Chat	Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement	2021	Zefan Li Chenxi Liu Alan Yuille Bingbing Ni Wenjun Zhang Wen Gao
+	ConTesse: Accurate Occluding Contours for Subdivision Surfaces	2021	Chenxi Liu Pierre Bénard Aaron Hertzmann Shayan Hoshyari
+	Are Labels Necessary for Neural Architecture Search?	2020	Chenxi Liu Piotr Dollár Kaiming He Ross Girshick Alan Yuille Saining Xie
+ PDF Chat	Are Labels Necessary for Neural Architecture Search?	2020	Chenxi Liu Piotr Dollár Kaiming He Ross Girshick Alan Yuille Saining Xie
+ PDF Chat	Adversarial Attacks Beyond the Image Space	2019	Xiaohui Zeng Chenxi Liu Yu-Siang Wang Weichao Qiu Lingxi Xie Yu‐Wing Tai Chi-Keung Tang Alan Yuille
+	Weight Standardization	2019	Siyuan Qiao Huiyu Wang Chenxi Liu Wei Shen Alan Yuille
+	Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation	2019	Chenxi Liu Liang-Chieh Chen Florian Schroff Hartwig Adam Wei Hua Alan Yuille Li Fei-Fei
+	Rethinking Normalization and Elimination Singularity in Neural Networks	2019	Siyuan Qiao Huiyu Wang Chenxi Liu Wei Shen Alan Yuille
+	Identifying Model Weakness with Adversarial Examiner	2019	Michelle Shu Chenxi Liu Weichao Qiu Alan Yuille
+	Micro-Batch Training with Batch-Channel Normalization and Weight Standardization	2019	Siyuan Qiao Huiyu Wang Chenxi Liu Wei Shen Alan Yuille
+	CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions	2019	Runtao Liu Chenxi Liu Yutong Bai Alan Yuille
+ PDF Chat	Few-Shot Image Recognition by Predicting Parameters from Activations	2018	Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille
+ PDF Chat	SORT: Second-Order Response Transform for Visual Recognition	2017	Yan Wang Lingxi Xie Chenxi Liu Siyuan Qiao Ya Zhang Wenjun Zhang Qi Tian Alan Yuille
+ PDF Chat	ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond	2017	Siyuan Qiao Wei Shen Weichao Qiu Chenxi Liu Alan Yuille
+ PDF Chat	Attention Correctness in Neural Image Captioning	2017	Chenxi Liu Junhua Mao Fei Sha Alan Yuille
+	ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond	2017	Siyuan Qiao Wei Shen Weichao Qiu Chenxi Liu Alan Yuille
+	Adversarial Attacks Beyond the Image Space	2017	Xiaohui Zeng Chenxi Liu Yu-Siang Wang Weichao Qiu Lingxi Xie Yu‐Wing Tai Chi Keung Tang Alan Yuille
+	Progressive Neural Architecture Search	2017	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy
+	Few-Shot Image Recognition by Predicting Parameters from Activations	2017	Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille
+	SORT: Second-Order Response Transform for Visual Recognition	2017	Yan Wang Lingxi Xie Chenxi Liu Ya Zhang Wenjun Zhang Alan Yuille

Common Coauthors

Coauthor	Papers Together
Alan Yuille	19
Siyuan Qiao	8
Dragomir Anguelov	7
Wei Shen	7
Mingxing Tan	5
Weichao Qiu	5
Lingxi Xie	4
Pierre Bénard	4
Shayan Hoshyari	4
Aaron Hertzmann	4
Gan Sun	3
Zhaoqi Leng	3
Wenqi Liang	3
Huiyu Wang	3
Jiahua Dong	3
Pei Sun	3
Zhaoqi Leng	2
Yu-Siang Wang	2
Saining Xie	2
Weiyue Wang	2
Charles R. Qi	2
Yu‐Wing Tai	2
Ross Girshick	2
Yin Zhou	2
Tianyi Xiong	2
Yan Wang	2
Ya Zhang	2
Yihan Wu	2
Wenjun Zhang	2
Kangru Wang	2
Li Fei-Fei	2
Xiaohui Zeng	2
Junfeng Guo	2
Tong He	2
Fei Xia	2
Piotr Dollár	2
Kaiming He	2
Wei Hua	2
Heng Huang	2
Ruibo Chen	1
Yutong Bai	1
Heng Huang	1
Chen Zhu	1
Zefan Li	1
Maxim Neumann	1
Liang-Chieh Chen	1
X. D. Shi	1
Qi Tian	1
Pei Sun	1
Can Qin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	11
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	9
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	6
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	5
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	5
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	5
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	5
+ PDF Chat	Progressive Neural Architecture Search	2018	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Hua Wei Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy	5
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	5
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	5
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	4
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	4
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	4
+ PDF Chat	Attention to Scale: Scale-Aware Semantic Image Segmentation	2016	Liang-Chieh Chen Yi Yang Jiang Wang Wei Xu Alan Yuille	4
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+ PDF Chat	LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving	2019	Gregory P. Meyer Ankit Laddha Eric Kee Carlos Vallespi-Gonzalez Carl Wellington	3
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	3
+ PDF Chat	SORT: Second-Order Response Transform for Visual Recognition	2017	Yan Wang Lingxi Xie Chenxi Liu Siyuan Qiao Ya Zhang Wenjun Zhang Qi Tian Alan Yuille	3
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	3
+ PDF Chat	RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection	2021	Pei Sun Weiyue Wang Yuning Chai Gamaleldin F. Elsayed Alex Bewley Zhang Xiao Cristian Sminchisescu Dragomir Anguelov	3
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	3
+ PDF Chat	Embracing Single Stride 3D Object Detector with Sparse Transformer	2022	Lue Fan Ziqi Pang Tianyuan Zhang Yu-Xiong Wang Hang Zhao Feng Wang Naiyan Wang Zhaoxiang Zhang	3
+ PDF Chat	PointPillars: Fast Encoders for Object Detection From Point Clouds	2019	Alex Lang Sourabh Vora Holger Caesar Lubing Zhou Jiong Yang Oscar Beijbom	3
+ PDF Chat	VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection	2018	Yin Zhou Oncel Tuzel	3
+ PDF Chat	Scalability in Perception for Autonomous Driving: Waymo Open Dataset	2020	Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurélien Chouard Vijaysai Patnaik Paul Tsui James C. Y. Guo Yin Zhou Yuning Chai Benjamin Caine	3
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	3
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	3
+ PDF Chat	Pillar-Based Object Detection for Autonomous Driving	2020	Yue Wang Alireza Fathi Abhijit Kundu David A. Ross Caroline Pantofaru Tom Funkhouser Justin Solomon	3
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+	Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems	2017	Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana	3
+ PDF Chat	PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud	2019	Shaoshuai Shi Xiaogang Wang Hongsheng Li	3
+ PDF Chat	ZOO	2017	Pin‐Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho‐Jui Hsieh	3
+	Robust Physical-World Attacks on Deep Learning Models	2017	Ivan Evtimov Kevin Eykholt Earlence Fernandes Tadayoshi Kohno Bo Li Atul Prakash Amir Rahmati Dawn Song	3
+ PDF Chat	Unsupervised Learning of Visual Representations Using Videos	2015	Xiaolong Wang Abhinav Gupta	3
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations	2017	Logan Engstrom Brandon Tran Dimitris Tsipras Ludwig Schmidt Aleksander Mądry	3
+	Searching for Efficient Multi-Scale Architectures for Dense Image Prediction	2018	Liang-Chieh Chen Maxwell D. Collins Yukun Zhu George Papandreou Barret Zoph Florian Schroff Hartwig Adam Jonathon Shlens	3
+ PDF Chat	Center-based 3D Object Detection and Tracking	2021	Tianwei Yin Xingyi Zhou Philipp Krähenbühl	3
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	2
+ PDF Chat	Adversarial Examples for Semantic Segmentation and Object Detection	2017	Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille	2
+	Skip Connections Eliminate Singularities	2018	A. Emin Orhan Xaq Pitkow	2
+ PDF Chat	VQA: Visual Question Answering	2015	Stanislaw Antol Aishwarya Agrawal Jiasen Lu Margaret Mitchell Dhruv Batra C. Lawrence Zitnick Devi Parikh	2
+ PDF Chat	Deep neural networks are easily fooled: High confidence predictions for unrecognizable images	2015	Anh‐Tu Nguyen Jason Yosinski Jeff Clune	2
+ PDF Chat	Few-Shot Image Recognition by Predicting Parameters from Activations	2018	Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille	2
+	An Empirical Analysis of Deep Network Loss Surfaces	2017	Daniel Jiwoong Im Michael Tao Kristin Branson	2
+	SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth	2016	John McCormac Ankur Handa Stefan Leutenegger Andrew J. Davison	2
+ PDF Chat	Evolving Deep Neural Networks	2018	Risto Miikkulainen Jason Liang Elliot Meyerson Aditya Rawal Daniel Fink Olivier Francon Bala Raju Hormoz Shahrzad Arshak Navruzyan Nigel Duffy	2
+ PDF Chat	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning	2017	Justin Johnson Bharath Hariharan Laurens van der Maaten Li Fei-Fei C. Lawrence Zitnick Ross Girshick	2
+	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Martin Riedmiller Thomas Brox	2