Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Tomas Pfister

Self-Trained One-class Classification for Unsupervised Anomaly Detection


Jun 11, 2021
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O. Arik, Chen-Yu Lee, Tomas Pfister


  Access Paper or Ask Questions

Aggregating Nested Transformers


May 26, 2021
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister

* Preprint 

  Access Paper or Ask Questions

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization


Apr 08, 2021
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister

* Published at CVPR 2021. The first two authors contributed equally 

  Access Paper or Ask Questions

Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts


Jan 11, 2021
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister


  Access Paper or Ask Questions

Learning and Evaluating Representations for Deep One-class Classification


Nov 04, 2020
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister

* preprint 

  Access Paper or Ask Questions

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation


Oct 19, 2020
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister

* Project page: https://yuliang.vision/pseudo_seg/ 

  Access Paper or Ask Questions

Interpretable Sequence Learning for COVID-19 Forecasting


Aug 03, 2020
Sercan O. 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


  Access Paper or Ask Questions

A Simple Semi-Supervised Learning Framework for Object Detection


May 10, 2020
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister


  Access Paper or Ask Questions

Differentiable Top-k Operator with Optimal Transport


Feb 18, 2020
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister


  Access Paper or Ask Questions

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting


Dec 19, 2019
Bryan Lim, Sercan O. Arik, Nicolas Loeff, Tomas Pfister


  Access Paper or Ask Questions

Distance-Based Learning from Errors for Confidence Calibration


Dec 03, 2019
Chen Xing, Sercan Arik, Zizhao Zhang, Tomas Pfister


  Access Paper or Ask Questions

On Concept-Based Explanations in Deep Neural Networks


Oct 17, 2019
Chih-Kuan Yeh, Been Kim, Sercan O. Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister


  Access Paper or Ask Questions

Generative Modeling for Small-Data Object Detection


Oct 16, 2019
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li

* Published in ICCV 2019 

  Access Paper or Ask Questions

Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost


Oct 16, 2019
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan O. Arik, Larry S. Davis, Tomas Pfister


  Access Paper or Ask Questions

IEG: Robust Neural Network Training to Tackle Severe Label Noise


Oct 13, 2019
Zizhao Zhang, Han Zhang, Sercan O. Arik, Honglak Lee, Tomas Pfister

* v1: first committed preprint, v2: remove small typos in text and figures 

  Access Paper or Ask Questions

A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels


Sep 27, 2019
Yucen Luo, Jun Zhu, Tomas Pfister


  Access Paper or Ask Questions

RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling


Sep 26, 2019
Jinsung Yoon, Sercan O. Arik, Tomas Pfister

* 18 pages, 7 figures, 7 tables 

  Access Paper or Ask Questions

TabNet: Attentive Interpretable Tabular Learning


Sep 26, 2019
Sercan O. Arik, Tomas Pfister


  Access Paper or Ask Questions

Data Valuation using Reinforcement Learning


Sep 25, 2019
Jinsung Yoon, Sercan O. Arik, Tomas Pfister

* 17 pages, 12 figures, 6 tables 

  Access Paper or Ask Questions

Learning to Transfer Learn


Aug 29, 2019
Linchao Zhu, Sercan O. Arik, Yi Yang, Tomas Pfister


  Access Paper or Ask Questions

Inserting Videos into Videos


Mar 15, 2019
Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang

* CVPR 2019 

  Access Paper or Ask Questions

Harmonic Unpaired Image-to-image Translation


Feb 26, 2019
Rui Zhang, Tomas Pfister, Jia Li


  Access Paper or Ask Questions

Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks


Feb 17, 2019
Sercan O. Arik, Tomas Pfister


  Access Paper or Ask Questions

Learning from Simulated and Unsupervised Images through Adversarial Training


Jul 19, 2017
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb

* Accepted at CVPR 2017 for oral presentation 

  Access Paper or Ask Questions

Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods


Feb 08, 2017
Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietikäinen


  Access Paper or Ask Questions

Personalizing Human Video Pose Estimation


Jun 15, 2016
James Charles, Tomas Pfister, Derek Magee, David Hogg, Andrew Zisserman

* CVPR 2016 

  Access Paper or Ask Questions