Ce Liu

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All published works

Action	Title	Year	Authors
+	Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks	2023	Bin Xiao Haiping Wu Weijian Xu Xiyang Dai Houdong Hu Yumao Lu Michael Zeng Ce Liu Lu Yuan
+	ViTGAN: Training GANs with Vision Transformers	2021	Kwonjoon Lee Hui‐Wen Chang Jiang Lu Han Zhang Zhuowen Tu Ce Liu

Common Coauthors

Coauthor	Papers Together
Zhuowen Tu	1
Haiping Wu	1
Kwonjoon Lee	1
Xiyang Dai	1
Hui‐Wen Chang	1
Houdong Hu	1
Jiang Lu	1
Michael Zeng	1
Lu Yuan	1
Han Zhang	1
Weijian Xu	1
Bin Xiao	1
Yumao Lu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	1
+	Integral Probability Metrics and Their Generating Classes of Functions	1997	Alfred Müller	1
+	On Convergence and Stability of GANs	2018	Naveen Kodali James Hays Jacob Abernethy Zsolt Kira	1
+	Which Training Methods for GANs do actually Converge?	2018	Lars Mescheder Andreas Geiger Sebastian Nowozin	1
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	1
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	1
+	Lipschitz Generative Adversarial Nets	2019	Zhiming Zhou Jiadong Liang Yuxuan Song Lantao Yu Hongwei Wang Weinan Zhang Yong Yu Zhihua Zhang	1
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	1
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+ PDF Chat	MoCoGAN: Decomposing Motion and Content for Video Generation	2018	Sergey Tulyakov Ming-Yu Liu Xiaodong Yang Jan Kautz	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization	2016	Sebastian Nowozin Botond Cseke Ryota Tomioka	1
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	1
+ PDF Chat	Occupancy Networks: Learning 3D Reconstruction in Function Space	2019	Lars Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger	1
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	1
+	On Self Modulation for Generative Adversarial Networks	2018	Ting Chen Mario Lučić Neil Houlsby Sylvain Gelly	1
+	Consistency Regularization for Generative Adversarial Networks	2019	Han Zhang Zizhao Zhang Augustus Odena Honglak Lee	1
+ PDF Chat	Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN	2020	Masaki Saito Shunta Saito Masanori Koyama Sosuke Kobayashi	1
+	Image Augmentations for GAN Training	2020	Zhengli Zhao Zizhao Zhang Ting Chen Sameer Singh Han Zhang	1
+	Bridging the Gap Between $f$-GANs and Wasserstein GANs	2019	Jiaming Song Stefano Ermon	1
+ PDF Chat	Analyzing and Improving the Image Quality of StyleGAN	2020	Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen Timo Aila	1
+ PDF Chat	A U-Net Based Discriminator for Generative Adversarial Networks	2020	Edgar Schönfeld Bernt Schiele Anna Khoreva	1
+	Multi-Head Attention: Collaborate Instead of Concatenate	2021	Jean-Baptiste Cordonnier Andreas Loukas Martin Jaggi	1
+	Implicit Neural Representations with Periodic Activation Functions	2020	Vincent Sitzmann Julien Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein	1
+	Pre-Trained Image Processing Transformer	2020	Hanting Chen Yunhe Wang Tianyu Guo Chang Xu Yiping Deng Zhenhua Liu Siwei Ma Chunjing Xu Chao Xu Wen Gao	1
+	Toward Transformer-Based Object Detection	2020	Josh Beal Eric Kim Eric Tzeng Dong Huk Park Andrew Zhai Dmitry Kislyuk	1
+ PDF Chat	On Data Augmentation for GAN Training	2021	Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung‐Kien Nguyen Ngai‐Man Cheung	1
+	Is Space-Time Attention All You Need for Video Understanding?	2021	Gedas Bertasius Heng Wang Lorenzo Torresani	1
+	Zero-Shot Text-to-Image Generation	2021	Aditya Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever	1
+	TransGAN: Two Transformers Can Make One Strong GAN	2021	Yifan Jiang Shiyu Chang Zhangyang Wang	1
+	Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth	2021	Yihe Dong Jean-Baptiste Cordonnier Andreas Loukas	1
+	Vision Transformers for Dense Prediction	2021	René Ranftl Alexey Bochkovskiy Vladlen Koltun	1
+ PDF Chat	An Empirical Study of Training Self-Supervised Vision Transformers	2021	Xinlei Chen Saining Xie Kaiming He	1
+	ViViT: A Video Vision Transformer	2021	Anurag Arnab Mostafa Dehghani Georg Heigold Chen Sun Mario Lučić Cordelia Schmid	1
+	MLP-Mixer: An all-MLP Architecture for Vision	2021	Ilya Tolstikhin Neil Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai Thomas Unterthiner Jessica Yung Andreas Steiner Daniel Keysers Jakob Uszkoreit	1
+	TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up	2021	Yifan Jiang Shiyu Chang Zhangyang Wang	1
+ PDF Chat	Regularizing Generative Adversarial Networks under Limited Data	2021	Hung-Yu Tseng Lu Jiang Ce Liu Ming–Hsuan Yang Weilong Yang	1
+ PDF Chat	Improved Consistency Regularization for GANs	2021	Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang	1
+ PDF Chat	Dual Contradistinctive Generative Autoencoder	2021	Gaurav Parmar Dacheng Li Kwonjoon Lee Zhuowen Tu	1
+ PDF Chat	Image Generators with Conditionally-Independent Pixel Synthesis	2021	Ivan Anokhin Kirill Demochkin Taras Khakhulin Gleb Sterkin Victor Lempitsky Denis Korzhenkov	1
+ PDF Chat	Taming Transformers for High-Resolution Image Synthesis	2021	Patrick Esser Robin Rombach Björn Ommer	1
+	LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop	2015	Fisher Yu Yinda Zhang Shuran Song Ari Seff Jianxiong Xiao	1