CREST: Convolutional Residual Learning for Visual Tracking (ICCV 2017), Yibing Song et al. [pdf]
Learning Background-Aware Correlation Filters for Visual Tracking (ICCV 2017), Hamed Kiani Galoogahi et al. [pdf]
Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking (ICCV 2017), Heng Fan et al. [pdf]
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking (ICCV 2017), Hamed Kiani Galoogahi et al. [pdf]
Tracking as Online Decision-Making:Learning a Policy from Streaming Videos with Reinforcement Learning (ICCV 2017), James Supancic et al. [pdf]
Robust Object Tracking based on Temporal and Spatial Deep Networks (ICCV 2017), Zhu Teng et al. [pdf]
Modeling and Propagating CNNs in a Tree Structure for Visual Tracking (CVPR 2017), Hyeonseob Nam, Mooyeol Baek, Bohyung Han [pdf]
ECO: Efficient Convolution Operators for Tracking (CVPR 2017), Martin Danelljan et al [pdf]
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking (ECCV 2016), Martin Danelljan et al [pdf]
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking (CVPR 2016), Hyeonseob Nam Bohyung Han [pdf]
End-to-end representation learning for Correlation Filter based tracking (CVPR 2017), Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr. [[paper]]