Thomas B. Schn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
57
Venues
17
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
57 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Conditioning diffusion models by explicit forward-backward bridging. | Adrien Corenflos, Zheng Zhao, Thomas B. Schn, Simo Srkk, Jens Sjlund |
| 2025 | AISTATS | Efficient Optimization Algorithms for Linear Adversarial Training. | Antnio H. Ribeiro, Thomas B. Schn, Dave Zachariah, Francis Bach |
| 2025 | AISTATS | Safe exploration in reproducing kernel Hilbert spaces. | Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schn, Dominik Baumann |
| 2024 | AISTATS | On Feynman-Kac training of partial Bayesian neural networks. | Zheng Zhao, Sebastian Mair, Thomas B. Schn, Jens Sjlund |
| 2024 | CVPR | NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. | Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Yibin Huang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yuxiang Chen, Xiangyu Chen, Qiubo Chen, Fengyu Sun, Mengying Cui, Jiaxu Chen, Zhenyu Hu, Jingyun Liu, Wenzhuo Ma, Ce Wang, Hanyou Zheng, Wanjie Sun, Zhenzhong Chen, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn, Xiong Dun, Pengzhou Ji, Yujie Xing, Xuquan Wang, Zhanshan Wang, Xinbin Cheng, Jun Xiao, Chenhang He, Xiuyuan Wang, Zhi-Song Liu, Zimeng Miao, Zhicun Yin, Ming Liu, Wangmeng Zuo, Shuai Li |
| 2024 | CVPR | Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. | Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn |
| 2024 | ICLR | Controlling Vision-Language Models for Multi-Task Image Restoration. | Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn |
| 2024 | ICML | No Double Descent in Principal Component Regression: A High-Dimensional Analysis. | Daniel Gedon, Antnio H. Ribeiro, Thomas B. Schn |
| 2024 | MICCAI | Online Learning in Motion Modeling for Intra-interventional Image Sequences. | Niklas Gunnarsson, Jens Sjlund, Peter Kimstrand, Thomas B. Schn |
| 2024 | UAI | Uncertainty Estimation with Recursive Feature Machines. | Daniel Gedon, Amirhesam Abedsoltan, Thomas B. Schn, Mikhail Belkin |
| 2023 | CVPR | NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. | Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch |
| 2023 | CVPR | Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. | Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu |
| 2023 | CVPR | Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. | Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn |
| 2023 | CVPR | NTIRE 2023 Image Shadow Removal Challenge Report. | Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia |
| 2023 | CVPR | NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. | Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang |
| 2023 | ICML | Image Restoration with Mean-Reverting Stochastic Differential Equations. | Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjlund, Thomas B. Schn |
| 2022 | AISTATS | Learning Proposals for Practical Energy-Based Regression. | Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schn |
| 2022 | FUSION | Unsupervised dynamic modeling of medical image transformations. | Niklas Gunnarsson, Jens Sjlund, Peter Kimstrand, Thomas B. Schn |
| 2021 | CVPR | Accurate 3D Object Detection Using Energy-Based Models. | Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schn |
| 2021 | ICASSP | How Convolutional Neural Networks Deal with Aliasing. | Antnio H. Ribeiro, Thomas B. Schn |
| 2020 | AISTATS | Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness. | Antnio H. Ribeiro, Koen Tiels, Luis Antonio Aguirre, Thomas B. Schn |
| 2020 | BMVC | How to Train Your Energy-Based Model for Regression. | Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schn |
| 2020 | CVPR | Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. | Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schn |
| 2020 | ECCV | Energy-Based Models for Deep Probabilistic Regression. | Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schn |
| 2020 | ECCV | The Eighth Visual Object Tracking VOT2020 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kmrinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernndez, Alexander G. Hauptmann, Alireza Memarmoghadam, lvaro Garca-Martn, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Jremo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jess Bescs, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schn, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma |
| 2020 | ICASSP | Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. | Jan Kudlicka, Lawrence M. Murray, Thomas B. Schn, Fredrik Lindsten |
| 2020 | MICCAI | Learning a Deformable Registration Pyramid. | Niklas Gunnarsson, Jens Sjlund, Thomas B. Schn |
| 2019 | AISTATS | Conditionally Independent Multiresolution Gaussian Processes. | Jalil Taghia, Thomas B. Schn |
| 2019 | AISTATS | Evaluating model calibration in classification. | Juozas Vaicenavicius, David Widmann, Carl R. Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schn |
| 2019 | ICML | Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. | Muhammad Osama, Dave Zachariah, Thomas B. Schn |
| 2019 | UAI | Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling. | Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schn |
| 2018 | AISTATS | Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs. | Lawrence M. Murray, Daniel Lundn, Jan Kudlicka, David Broman, Thomas B. Schn |
| 2018 | FUSION | Auxiliary-Particle-Filter-Based Two-Filter Smoothing for Wiener State-Space Models. | Roland Hostettler, Thomas B. Schn |
| 2018 | ICML | Learning Localized Spatio-Temporal Models From Streaming Data. | Muhammad Osama, Dave Zachariah, Thomas B. Schn |
| 2017 | AISTATS | Prediction Performance After Learning in Gaussian Process Regression. | Johan Wgberg, Dave Zachariah, Thomas B. Schn, Petre Stoica |
| 2016 | AISTATS | Computationally Efficient Bayesian Learning of Gaussian Process State Space Models. | Andreas Svensson, Arno Solin, Simo Srkk, Thomas B. Schn |
| 2015 | ICML | Nested Sequential Monte Carlo Methods. | Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schn |
| 2015 | SIGGRAPH | Pseudo-marginal metropolis light transport. | Joel Kronander, Thomas B. Schn, Jonas Unger |
| 2014 | ITW | Capacity estimation of two-dimensional channels using Sequential Monte Carlo. | Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schn |
| 2013 | ICASSP | Particle metropolis hastings using Langevin dynamics. | Johan Dahlin, Fredrik Lindsten, Thomas B. Schn |
| 2013 | ICASSP | MEMS-based inertial navigation based on a magnetic field map. | Manon Kok, Niklas Wahlstrom, Thomas B. Schn, Fredrik Gustafsson |
| 2013 | ICASSP | Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models. | Fredrik Lindsten, Pete Bunch, Simon J. Godsill, Thomas B. Schn |
| 2013 | ICASSP | Adaptive stopping for fast particle smoothing. | Ehsan Taghavi, Fredrik Lindsten, Lennart Svensson, Thomas B. Schn |
| 2013 | ICASSP | Modeling magnetic fields using Gaussian processes. | Niklas Wahlstrom, Manon Kok, Thomas B. Schn, Fredrik Gustafsson |
| 2012 | FUSION | On mixture reduction for multiple target tracking. | Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schn |
| 2012 | FUSION | Calibration of a magnetometer in combination with inertial sensors. | Manon Kok, Jeroen D. Hol, Thomas B. Schn, Fredrik Gustafsson, Henk Luinge |
| 2012 | ICASSP | On the use of backward simulation in the particle Gibbs sampler. | Fredrik Lindsten, Thomas B. Schn |
| 2011 | FUSION | Bicycle tracking using ellipse extraction. | Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schn, Michael Felsberg |
| 2010 | ICPR | Torchlight Navigation. | Michael Felsberg, Fredrik Larsson, Han Wang, Anders Ynnerman, Thomas B. Schn |
| 2010 | ICRA | Geo-referencing for UAV navigation using environmental classification. | Fredrik Lindsten, Jonas Callmer, Henrik Ohlsson, David Trnqvist, Thomas B. Schn, Fredrik Gustafsson |
| 2010 | IROS | Learning to close the loop from 3D point clouds. | Karl Granstrm, Thomas B. Schn |
| 2008 | ICARCV | A new algorithm for calibrating a combined camera and IMU sensor unit. | Jeroen D. Hol, Thomas B. Schn, Fredrik Gustafsson |
| 2008 | ICARCV | Detecting spurious features using parity space. | David Trnqvist, Thomas B. Schn, Fredrik Gustafsson |
| 2008 | ISMAR | Relative pose calibration of a spherical camera and an IMU. | Jeroen D. Hol, Thomas B. Schn, Fredrik Gustafsson |
| 2007 | FUSION | A framework for simultaneous localization and mapping utilizing model structure. | Thomas B. Schn, Rickard Karlsson, David Trnqvist, Fredrik Gustafsson |
| 2006 | FUSION | Sensor Fusion for Augmented Reality. | Jeroen D. Hol, Thomas B. Schn, Fredrik Gustafsson, Per J. Slycke |
| 2003 | ICASSP | A note on state estimation as a convex optimization problem. | Thomas B. Schn, Fredrik Gustafsson, Anders Hansson |