Thomas Tanay

According to our database, Thomas Tanay authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

AIM 2024 Sparse Neural Rendering Challenge: Methods and Results.

Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay, Richard Shaw, Eduardo Pérez-Pellitero, Radu Timofte, Xing Yan, Pan Wang, Yali Guo, Yongxin Wu, Youcheng Cai, Yanan Yang, Junting Li, Yanghong Zhou, P. Y. Mok, Zongqi He, Zhe Xiao, Kin-Chung Chan, Hana Lebeta Goshu, Cuixin Yang, Rongkang Dong, Jun Xiao, Kin-Man Lam, Jiayao Hao, Qiong Gao, Yanyan Zu, Junpei Zhang, Licheng Jiao, Xu Liu, Kuldeep Purohit

CoRR, 2024

AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark.

Michal Nazarczuk, Thomas Tanay, Sibi Catley-Chandar, Richard Shaw, Radu Timofte, Eduardo Pérez-Pellitero

CoRR, 2024

Global Latent Neural Rendering.

Thomas Tanay, Matteo Maggioni

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

2023

Diagnosing and Preventing Instabilities in Recurrent Video Processing.

Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh

IEEE Trans. Pattern Anal. Mach. Intell., 2023

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads.

Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Factorized Dynamic Fully-Connected Layers for Neural Networks.

Francesca Babiloni, Thomas Tanay, Jiankang Deng, Matteo Maggioni, Stefanos Zafeiriou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes.

Francesca Babiloni, Matteo Maggioni, Thomas Tanay, Jiankang Deng, Ales Leonardis, Stefanos Zafeiriou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations.

Thomas Tanay, Ales Leonardis, Matteo Maggioni

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

Tunable Convolutions with Parametric Multi-Loss Optimization.

Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis

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

2022

FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging.

Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero

IEEE Trans. Image Process., 2022

FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging.

Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero

CoRR, 2022

2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results.

Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang

CoRR, 2021

2020

Understanding the extreme vulnerability of image classifiers to adversarial examples.

Thomas Tanay

PhD thesis, 2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yun Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

CoRR, 2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Multiple-Identity Image Attacks Against Face-based Identity Verification.

Jerone T. A. Andrews, Thomas Tanay, Lewis D. Griffin

CoRR, 2019

Batch Normalization is a Cause of Adversarial Vulnerability.

Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, Graham W. Taylor

CoRR, 2019

2018

A New Angle on L2 Regularization.

Thomas Tanay, Lewis D. Griffin

CoRR, 2018

Built-in Vulnerabilities to Imperceptible Adversarial Perturbations.

Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin

CoRR, 2018

Adversarial Training Versus Weight Decay.

Angus Galloway, Thomas Tanay, Graham W. Taylor

CoRR, 2018

2016

A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples.

Thomas Tanay, Lewis D. Griffin

CoRR, 2016