[VOT challenge]
Visual Tracking -- Single Object Trackig- 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]]
- others, [link] [link2]
6D Object Pose Estimation
- SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again (ICCV 2017), Wadim Kehl et al.[pdf]
- Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation (ECCV 2016), Wadim Kehl et al. [pdf]
- Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects (ECCV 2016), Henning Tjaden et al.[pdf]
- Real-Time Monocular Pose Estimation of 3D Objects using Temporally Consistent Local Color Histograms (ICCV 2017), Henning Tjaden [pdf]