Zhiwu Huang

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All published works

Action	Title	Year	Authors
+	A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials	2023	Chuqiao Li Zhiwu Huang Danda Pani Paudel Yabin Wang Mohamad Shahbazi Xiaopeng Hong Luc Van Gool
+	Generative Flows with Invertible Attentions	2022	Rhea Sanjay Sukthanker Zhiwu Huang Suryansh Kumar Radu Timofte Luc Van Gool
+	Direct Differentiable Augmentation Search	2021	Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang
+	Neural Architecture Search of SPD Manifold Networks	2021	Rhea Sanjay Sukthanker Zhiwu Huang Suryansh Kumar Erik Goron Endsjo Yan Wu Luc Van Gool
+	Efficient Conditional GAN Transfer with Knowledge Propagation across Classes	2021	Mohamad Shahbazi Zhiwu Huang Danda Pani Paudel Ajad Chhatkuli Luc Van Gool
+ PDF Chat	Neural Architecture Search as Sparse Supernet	2021	Yan Wu Aoming Liu Zhiwu Huang Siwei Zhang Luc Van Gool
+	Spectral Tensor Train Parameterization of Deep Learning Layers	2021	Anton Obukhov Maxim Rakhuba Alexander Liniger Zhiwu Huang Stamatios Georgoulis Dengxin Dai Luc Van Gool
+	Spectral Tensor Train Parameterization of Deep Learning Layers	2021	Anton Obukhov Maxim Rakhuba Alexander Liniger Zhiwu Huang Stamatios Georgoulis Dengxin Dai Luc Van Gool
+	Facial Emotion Recognition with Noisy Multi-task Annotations	2021	Siwei Zhang Zhiwu Huang Danda Pani Paudel Luc Van Gool
+	Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution	2021	Yan Wu Zhiwu Huang Suryansh Kumar Rhea Sanjay Sukthanker Radu Timofte Luc Van Gool
+	Direct Differentiable Augmentation Search	2021	Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang
+	Neural Architecture Search of SPD Manifold Networks	2020	Rhea Sanjay Sukthanker Zhiwu Huang Suryansh Kumar Erik Goron Endsjo Yan Wu Luc Van Gool
+	NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results	2020	Dario Fuoli Zhiwu Huang Martin Danelljan Radu Timofte Hua Wang Longcun Jin Dewei Su Jing Liu Jaehoon Lee Michał Kudelski
+	NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results	2020	Dario Fuoli Zhiwu Huang Martin Danelljan Radu Timofte Hua Wang Longcun Jin Dewei Su Jing Liu Jaehoon Lee Michał Kudelski
+	Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search	2020	Yuan Tian Qin Wang Zhiwu Huang Wen Li Dengxin Dai Minghao Yang Jun Wang Olga Fink
+	Neural Architecture Search as Sparse Supernet	2020	Yan Wu Aoming Liu Zhiwu Huang Siwei Zhang Luc Van Gool
+	AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results	2020	Dario Fuoli Zhiwu Huang Shuhang Gu Radu Timofte Arnau Raventós Aryan Esfandiari Salah Karout Xuan Xu Xin Li Xin Xiong
+	Facial Emotion Recognition with Noisy Multi-task Annotations	2020	Siwei Zhang Zhiwu Huang Danda Pani Paudel Luc Van Gool
+	Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search	2020	Yuan Tian Qin Wang Zhiwu Huang Wen Li Dengxin Dai Minghao Yang Jun Wang Olga Fink
+	AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results	2020	Dario Fuoli Zhiwu Huang Shuhang Gu Radu Timofte Arnau Raventós Aryan Esfandiari Salah Karout Xuan Xu Xin Li Xin Xiong
+ PDF Chat	Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets	2019	Zhiwu Huang Jiqing Wu Luc Van Gool
+	Sliced Wasserstein Generative Models	2019	Jiqing Wu Zhiwu Huang U. Dinesh Acharya Wen Li Janine Thoma Danda Pani Paudel Luc Van Gool
+	Sliced Wasserstein Generative Models	2019	Jiqing Wu Zhiwu Huang U. Dinesh Acharya Wen Li Janine Thoma Danda Pani Paudel Luc Van Gool
+	Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement	2019	Zhiwu Huang Danda Pani Paudel Guanju Li Jiqing Wu Radu Timofte Luc Van Gool
+	Covariance Pooling for Facial Expression Recognition	2018	U. Dinesh Acharya Zhiwu Huang Danda Pani Paudel Luc Van Gool
+	Covariance Pooling For Facial Expression Recognition	2018	U. Dinesh Acharya Zhiwu Huang Danda Pani Paudel Luc Van Gool
+ PDF Chat	Building Deep Networks on Grassmann Manifolds	2018	Zhiwu Huang Jiqing Wu Luc Van Gool
+	Wasserstein Divergence for GANs	2018	Jiqing Wu Zhiwu Huang Janine Thoma U. Dinesh Acharya Luc Van Gool
+	Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs	2018	U. Dinesh Acharya Zhiwu Huang Danda Pani Paudel Luc Van Gool
+	Manifold-valued Image Generation with Wasserstein Adversarial Networks.	2017	Zhiwu Huang Jiqing Wu Luc Van Gool
+	Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation.	2017	Jiqing Wu Zhiwu Huang Janine Thoma Luc Van Gool
+	Towards an Understanding of Our World by GANing Videos in the Wild.	2017	Bernhard Kratzwald Zhiwu Huang Danda Pani Paudel Luc Van Gool
+	Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video	2017	Zhiwu Huang Ruiping Wang Shiguang Shan Luc Van Gool Xilin Chen
+	Geometry-Aware Similarity Learning on SPD Manifolds for Visual Recognition	2017	Zhiwu Huang Ruiping Wang Xianqiu Li Wenxian Liu Shiguang Shan Luc Van Gool Xilin Chen
+	Deep Learning on Lie Groups for Skeleton-Based Action Recognition	2017	Zhiwu Huang Chengde Wan Thomas Probst Luc Van Gool
+	Generative Autotransporters	2017	Jiqing Wu Zhiwu Huang Wen Li Luc Van Gool
+ PDF Chat	A Riemannian Network for SPD Matrix Learning	2017	Zhiwu Huang Luc Van Gool
+	On the Relation between Color Image Denoising and Classification	2017	Jiqing Wu Radu Timofte Zhiwu Huang Luc Van Gool
+	Face Translation between Images and Videos using Identity-aware CycleGAN	2017	Zhiwu Huang Bernhard Kratzwald Danda Pani Paudel Jiqing Wu Luc Van Gool
+	Improving Video Generation for Multi-functional Applications	2017	Bernhard Kratzwald Zhiwu Huang Danda Pani Paudel U. Dinesh Acharya Luc Van Gool
+	Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets	2017	Zhiwu Huang Jiqing Wu Luc Van Gool
+	Wasserstein Divergence for GANs	2017	Jiqing Wu Zhiwu Huang Janine Thoma U. Dinesh Acharya Luc Van Gool
+	Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video	2016	Zhiwu Huang Ruiping Wang Shiguang Shan Luc Van Gool Xilin Chen
+	Deep Learning on Lie Groups for Skeleton-based Action Recognition	2016	Zhiwu Huang Chengde Wan Thomas Probst Luc Van Gool
+	Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition	2016	Zhiwu Huang Ruiping Wang Xianqiu Li Wenxian Liu Shiguang Shan Luc Van Gool Xilin Chen
+	A Riemannian Network for SPD Matrix Learning	2016	Zhiwu Huang Luc Van Gool
+	Building Deep Networks on Grassmann Manifolds	2016	Zhiwu Huang Jiqing Wu Luc Van Gool

Common Coauthors

Coauthor	Papers Together
Luc Van Gool	39
Jiqing Wu	14
Danda Pani Paudel	13
Radu Timofte	8
U. Dinesh Acharya	8
Janine Thoma	5
Wen Li	5
Suryansh Kumar	4
Shiguang Shan	4
Aoming Liu	4
Dario Fuoli	4
Yan Wu	4
Xilin Chen	4
Ruiping Wang	4
Dengxin Dai	4
Rhea Sanjay Sukthanker	4
Bernhard Kratzwald	3
Marcin Możejko	2
Alexander Liniger	2
Maxim Rakhuba	2
Arnau Raventós	2
Muchen Li	2
Norimichi Ukita	2
Longcun Jin	2
Kazutoshi Akita	2
Martin Danelljan	2
Hua Wang	2
Jinjin Gu	2
Olga Fink	2
Stamatios Georgoulis	2
Minghao Yang	2
Xianqiu Li	2
Erik Goron Endsjo	2
Cewu Lu	2
C. V. Jiji	2
Zehao Huang	2
Dongliang He	2
Michał Kudelski	2
Mohamad Shahbazi	2
Dan Xia	2
Densen Puthussery	2
Dmitry Hrybov	2
Hanwei Zhu	2
Pablo Navarrete Michelini	2
Thomas Probst	2
Salah Karout	2
Anton Obukhov	2
Xuan Xu	2
Jun Wang	2
Wenhao Zhang	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	11
+ PDF Chat	A Riemannian Framework for Tensor Computing	2005	Xavier Pennec Pierre Fillard Nicholas Ayache	10
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	9
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	9
+ PDF Chat	A Riemannian Network for SPD Matrix Learning	2017	Zhiwu Huang Luc Van Gool	8
+	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	8
+	A Riemannian Network for SPD Matrix Learning	2016	Zhiwu Huang Luc Van Gool	8
+ PDF Chat	AutoGAN: Neural Architecture Search for Generative Adversarial Networks	2019	Xinyu Gong Shiyu Chang Yifan Jiang Zhangyang Wang	7
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	6
+ PDF Chat	From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices	2014	Mehrtash Harandi Mathieu Salzmann Richard Hartley	6
+	Optimization Algorithms on Matrix Manifolds	2007	P.-A. Absil Robert Mahony Rodolphe Sepulchre	6
+ PDF Chat	Stochastic Gradient Descent on Riemannian Manifolds	2013	Silvère Bonnabel	6
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	6
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	6
+ PDF Chat	ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks	2019	Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Yu Qiao Chen Change Loy	6
+ 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	6
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	5
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	5
+	Generating Videos with Scene Dynamics	2016	Carl Vondrick Hamed Pirsiavash Antonio Torralba	5
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	5
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	5
+	Progressive Growing of GANs for Improved Quality, Stability, and Variation	2017	Tero Karras Timo Aila Samuli Laine Jaakko Lehtinen	5
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	5
+ PDF Chat	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2017	Christian Ledig Lucas Theis Ferenc Huszár José Caballero Andrew Cunningham Alejandro Acosta Andrew P. Aitken Alykhan Tejani Johannes Totz Zehan Wang	5
+	Energy-based Generative Adversarial Network	2016	Junbo Zhao Michaël Mathieu Yann LeCun	5
+ PDF Chat	Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	2016	Wenzhe Shi José Caballero Ferenc Huszár Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang	5
+ PDF Chat	Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search	2020	Xiangxiang Chu Tianbao Zhou Bo Zhang Jixiang Li	5
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	5
+	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	5
+	Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices	2007	Vincent Arsigny Pierre Fillard Xavier Pennec Nicholas Ayache	5
+ PDF Chat	Log‐Euclidean metrics for fast and simple calculus on diffusion tensors	2006	Vincent Arsigny Pierre Fillard Xavier Pennec Nicholas Ayache	5
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	5
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	5
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	5
+ PDF Chat	EDVR: Video Restoration With Enhanced Deformable Convolutional Networks	2019	Xintao Wang Kelvin C. K. Chan Ke Yu Chao Dong Chen Change Loy	4
+	A discrete regression method on manifolds and its application to data on SO(n)	2011	Nicolas Boumal P.-A. Absil	4
+ PDF Chat	Residual Dense Network for Image Super-Resolution	2018	Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Yun Fu	4
+ PDF Chat	Detail-Revealing Deep Video Super-Resolution	2017	Xin Tao Hongyun Gao Renjie Liao Jue Wang Jiaya Jia	4
+	DARTS: Differentiable Architecture Search	2018	Hanxiao Liu Karen Simonyan Yiming Yang	4
+	Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect	2018	Wei Xiang Boqing Gong Zixia Liu Wei Lu Liqiang Wang	4
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	4
+ PDF Chat	Deformable ConvNets V2: More Deformable, Better Results	2019	Xizhou Zhu Han Hu Stephen Lin Jifeng Dai	4
+	BEGAN: Boundary Equilibrium Generative Adversarial Networks	2017	David Berthelot Thomas Schumm Luke Metz	4
+	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	4
+ PDF Chat	Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation	2017	José Caballero Christian Ledig Andrew P. Aitken Alejandro Acosta Johannes Totz Zehan Wang Wenzhe Shi	4
+ PDF Chat	StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation	2018	Yunjey Choi Minje Choi Munyoung Kim Jung-Woo Ha Sunghun Kim Jaegul Choo	4
+	Hierarchical Representations for Efficient Architecture Search	2017	Hanxiao Liu Karen Simonyan Oriol Vinyals Chrisantha Fernando Koray Kavukcuoglu	4
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	SNAS: Stochastic Neural Architecture Search	2018	Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin	4
+	A new metric on the manifold of kernel matrices with application to matrix geometric means	2012	Suvrit Sra	4