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2020 – today
- 2022
[c35]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI 2022: 1341-1349- [c34]Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister:
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI 2022: 3417-3425 - [c33]Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister:
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. ACL (1) 2022: 3735-3754 - [c32]Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister:
Decoupling Local and Global Representations of Time Series. AISTATS 2022: 8700-8714 - [i43]Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister:
Towards Group Robustness in the presence of Partial Group Labels. CoRR abs/2201.03668 (2022) - [i42]Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister:
Decoupling Local and Global Representations of Time Series. CoRR abs/2202.02262 (2022) - [i41]Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister:
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series. CoRR abs/2202.02403 (2022) - [i40]Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister:
Data-Efficient and Interpretable Tabular Anomaly Detection. CoRR abs/2203.02034 (2022) - [i39]Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister:
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. CoRR abs/2203.08411 (2022) - [i38]Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang:
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. CoRR abs/2203.16530 (2022) - [i37]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR abs/2204.04799 (2022) - [i36]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CoRR abs/2206.01125 (2022) - [i35]Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister:
Interpretable Mixture of Experts for Structured Data. CoRR abs/2206.02107 (2022) - [i34]Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister:
Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR abs/2206.06469 (2022) - [i33]Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister:
Test-Time Adaptation for Visual Document Understanding. CoRR abs/2206.07240 (2022) - 2021
- [c31]Sercan Ö. Arik, Tomas Pfister:
TabNet: Attentive Interpretable Tabular Learning. AAAI 2021: 6679-6687 - [c30]Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok C. Popat, Tomas Pfister:
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. ACL/IJCNLP (2) 2021: 314-321 - [c29]Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister:
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CVPR 2021: 9664-9674 - [c28]Zizhao Zhang, Tomas Pfister:
Learning Fast Sample Re-weighting Without Reward Data. ICCV 2021: 705-714 - [c27]Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister:
Learning and Evaluating Representations for Deep One-Class Classification. ICLR 2021 - [c26]Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister:
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. ICLR 2021 - [c25]Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister:
Controlling Neural Networks with Rule Representations. NeurIPS 2021: 11196-11207 - [i32]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. CoRR abs/2101.03713 (2021) - [i31]Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister:
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CoRR abs/2104.04015 (2021) - [i30]Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister:
Aggregating Nested Transformers. CoRR abs/2105.12723 (2021) - [i29]Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister:
Self-Trained One-class Classification for Unsupervised Anomaly Detection. CoRR abs/2106.06115 (2021) - [i28]Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister:
Controlling Neural Networks with Rule Representations. CoRR abs/2106.07804 (2021) - [i27]Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok C. Popat, Tomas Pfister:
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. CoRR abs/2106.10786 (2021) - [i26]Zizhao Zhang, Tomas Pfister:
Learning Fast Sample Re-weighting Without Reward Data. CoRR abs/2109.03216 (2021) - [i25]Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
Learning to Prompt for Continual Learning. CoRR abs/2112.08654 (2021) - [i24]Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister:
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. CoRR abs/2112.11573 (2021) - 2020
- [j4]Sercan Ömer Arik, Tomas Pfister:
ProtoAttend: Attention-Based Prototypical Learning. J. Mach. Learn. Res. 21: 210:1-210:35 (2020) - [c24]Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
Distilling Effective Supervision From Severe Label Noise. CVPR 2020: 9291-9300 - [c23]Linchao Zhu
, Sercan Ömer Arik, Yi Yang, Tomas Pfister:
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning. ECCV (27) 2020: 342-358 - [c22]Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister:
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) 2020: 510-526 - [c21]Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister:
Distance-Based Learning from Errors for Confidence Calibration. ICLR 2020 - [c20]Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister:
Data Valuation using Reinforcement Learning. ICML 2020: 10842-10851 - [c19]Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister:
Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS 2020 - [c18]Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister:
Differentiable Top-k with Optimal Transport. NeurIPS 2020 - [c17]Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Tomas Pfister, Pradeep Ravikumar:
On Completeness-aware Concept-Based Explanations in Deep Neural Networks. NeurIPS 2020 - [i23]Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister:
Differentiable Top-k Operator with Optimal Transport. CoRR abs/2002.06504 (2020) - [i22]Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister:
A Simple Semi-Supervised Learning Framework for Object Detection. CoRR abs/2005.04757 (2020) - [i21]Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister:
Interpretable Sequence Learning for COVID-19 Forecasting. CoRR abs/2008.00646 (2020) - [i20]Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister:
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. CoRR abs/2010.09713 (2020) - [i19]Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister:
Learning and Evaluating Representations for Deep One-class Classification. CoRR abs/2011.02578 (2020)
2010 – 2019
- 2019
- [c16]Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang:
Inserting Videos Into Videos. CVPR 2019: 10061-10070 - [c15]Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li:
Generative Modeling for Small-Data Object Detection. ICCV 2019: 6072-6080 - [c14]Rui Zhang, Tomas Pfister, Jia Li:
Harmonic Unpaired Image-to-image Translation. ICLR (Poster) 2019 - [i18]Sercan Ömer Arik, Tomas Pfister:
Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks. CoRR abs/1902.06292 (2019) - [i17]Rui Zhang, Tomas Pfister, Jia Li:
Harmonic Unpaired Image-to-image Translation. CoRR abs/1902.09727 (2019) - [i16]Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang:
Inserting Videos into Videos. CoRR abs/1903.06571 (2019) - [i15]Sercan Ömer Arik, Tomas Pfister:
TabNet: Attentive Interpretable Tabular Learning. CoRR abs/1908.07442 (2019) - [i14]Linchao Zhu, Sercan Ömer Arik, Yi Yang, Tomas Pfister:
Learning to Transfer Learn. CoRR abs/1908.11406 (2019) - [i13]Yucen Luo, Jun Zhu, Tomas Pfister:
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels. CoRR abs/1909.09338 (2019) - [i12]Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister:
Data Valuation using Reinforcement Learning. CoRR abs/1909.11671 (2019) - [i11]Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister:
RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling. CoRR abs/1909.12367 (2019) - [i10]Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
IEG: Robust Neural Network Training to Tackle Severe Label Noise. CoRR abs/1910.00701 (2019) - [i9]Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister:
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost. CoRR abs/1910.07153 (2019) - [i8]Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li:
Generative Modeling for Small-Data Object Detection. CoRR abs/1910.07169 (2019) - [i7]Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister:
On Concept-Based Explanations in Deep Neural Networks. CoRR abs/1910.07969 (2019) - [i6]Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister:
Distance-Based Learning from Errors for Confidence Calibration. CoRR abs/1912.01730 (2019) - [i5]Bryan Lim, Sercan Ömer Arik, Nicolas Loeff, Tomas Pfister:
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting. CoRR abs/1912.09363 (2019) - 2018
- [j3]Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietikäinen:
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods. IEEE Trans. Affect. Comput. 9(4): 563-577 (2018) - 2017
- [c13]Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb:
Learning from Simulated and Unsupervised Images through Adversarial Training. CVPR 2017: 2242-2251 - 2016
- [c12]James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman:
Personalizing Human Video Pose Estimation. CVPR 2016: 3063-3072 - [i4]Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russell Webb:
Learning from Simulated and Unsupervised Images through Adversarial Training. CoRR abs/1612.07828 (2016) - 2015
- [b1]Tomas Pfister:
Advancing human pose and gesture recognition. University of Oxford, UK, 2015 - [c11]Tomas Pfister, James Charles, Andrew Zisserman:
Flowing ConvNets for Human Pose Estimation in Videos. ICCV 2015: 1913-1921 - [i3]Tomas Pfister, James Charles, Andrew Zisserman:
Flowing ConvNets for Human Pose Estimation in Videos. CoRR abs/1506.02897 (2015) - [i2]Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietikäinen:
Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition. CoRR abs/1511.00423 (2015) - [i1]James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman:
Personalizing Human Video Pose Estimation. CoRR abs/1511.06676 (2015) - 2014
- [j2]James Charles, Tomas Pfister, Mark Everingham, Andrew Zisserman:
Automatic and Efficient Human Pose Estimation for Sign Language Videos. Int. J. Comput. Vis. 110(1): 70-90 (2014) - [c10]Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman:
Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos. ACCV (1) 2014: 538-552 - [c9]James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman:
Upper Body Pose Estimation with Temporal Sequential Forests. BMVC 2014 - [c8]Tomas Pfister, James Charles, Andrew Zisserman:
Domain-Adaptive Discriminative One-Shot Learning of Gestures. ECCV (6) 2014: 814-829 - 2013
- [c7]James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman:
Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts. BMVC 2013 - [c6]Tomas Pfister, James Charles, Andrew Zisserman:
Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences). BMVC 2013 - [c5]Xiaobai Li, Tomas Pfister, Xiaohua Huang, Guoying Zhao, Matti Pietikäinen:
A Spontaneous Micro-expression Database: Inducement, collection and baseline. FG 2013: 1-6 - 2012
- [c4]Tomas Pfister, James Charles, Mark Everingham, Andrew Zisserman:
Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts. BMVC 2012: 1-11 - 2011
- [j1]Tomas Pfister, Peter Robinson:
Real-Time Recognition of Affective States from Nonverbal Features of Speech and Its Application for Public Speaking Skill Analysis. IEEE Trans. Affect. Comput. 2(2): 66-78 (2011) - [c3]Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikäinen:
Recognising spontaneous facial micro-expressions. ICCV 2011: 1449-1456 - [c2]Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikäinen:
Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework. ICCV Workshops 2011: 868-875 - 2010
- [c1]Tomas Pfister, Peter Robinson:
Speech Emotion Classification and Public Speaking Skill Assessment. HBU 2010: 151-162
Coauthor Index
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