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Tobias Fischer
Researcher at Queensland University of Technology
Publications - 38
Citations - 2091
Tobias Fischer is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: iCub & Robot. The author has an hindex of 13, co-authored 38 publications receiving 1267 citations. Previous affiliations of Tobias Fischer include RWTH Aachen University & Imperial College London.
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Book ChapterDOI
The sixth visual object tracking VOT2018 challenge results
Matej Kristan,Ales Leonardis,Jiří Matas,Michael Felsberg,Roman Pflugfelder,Roman Pflugfelder,Luka Čehovin Zajc,Tomas Vojir,Goutam Bhat,Alan Lukežič,Abdelrahman Eldesokey,Gustavo Fernandez,Alvaro Garcia-Martin,Álvaro Iglesias-Arias,A. Aydin Alatan,Abel Gonzalez-Garcia,Alfredo Petrosino,Alireza Memarmoghadam,Andrea Vedaldi,Andrej Muhič,Anfeng He,Arnold W. M. Smeulders,Asanka G. Perera,Bo Li,Boyu Chen,Changick Kim,Changsheng Xu,Changzhen Xiong,Cheng Tian,Chong Luo,Chong Sun,Cong Hao,Daijin Kim,Deepak Mishra,Deming Chen,Dong Wang,Dongyoon Wee,Efstratios Gavves,Erhan Gundogdu,Erik Velasco-Salido,Fahad Shahbaz Khan,Fan Yang,Fei Zhao,Feng Li,Francesco Battistone,George De Ath,Gorthi R. K. Sai Subrahmanyam,Guilherme Sousa Bastos,Haibin Ling,Hamed Kiani Galoogahi,Hankyeol Lee,Haojie Li,Haojie Zhao,Heng Fan,Honggang Zhang,Horst Possegger,Houqiang Li,Huchuan Lu,Hui Zhi,Huiyun Li,Hyemin Lee,Hyung Jin Chang,Isabela Drummond,Jack Valmadre,Jaime Spencer Martin,Javaan Chahl,Jin-Young Choi,Jing Li,Jinqiao Wang,Jinqing Qi,Jinyoung Sung,Joakim Johnander,João F. Henriques,Jongwon Choi,Joost van de Weijer,Jorge Rodríguez Herranz,Jorge Rodríguez Herranz,José M. Martínez,Josef Kittler,Junfei Zhuang,Junyu Gao,Klemen Grm,Lichao Zhang,Lijun Wang,Lingxiao Yang,Litu Rout,Liu Si,Luca Bertinetto,Lutao Chu,Manqiang Che,Mario Edoardo Maresca,Martin Danelljan,Ming-Hsuan Yang,Mohamed H. Abdelpakey,Mohamed Shehata,Myunggu Kang,Namhoon Lee,Ning Wang,Ondrej Miksik,Payman Moallem,Pablo Vicente-Moñivar,Pedro Senna,Peixia Li,Philip H. S. Torr,Priya Mariam Raju,Qian Ruihe,Qiang Wang,Qin Zhou,Qing Guo,Rafael Martin-Nieto,Rama Krishna Sai Subrahmanyam Gorthi,Ran Tao,Richard Bowden,Richard M. Everson,Runling Wang,Sangdoo Yun,Seokeon Choi,Sergio Vivas,Shuai Bai,Shuangping Huang,Sihang Wu,Simon Hadfield,Siwen Wang,Stuart Golodetz,Tang Ming,Tianyang Xu,Tianzhu Zhang,Tobias Fischer,Vincenzo Santopietro,Vitomir Struc,Wang Wei,Wangmeng Zuo,Wei Feng,Wei Wu,Wei Zou,Weiming Hu,Wengang Zhou,Wenjun Zeng,Xiaofan Zhang,Xiaohe Wu,Xiaojun Wu,Xinmei Tian,Yan Li,Yan Lu,Yee Wei Law,Yi Wu,Yi Wu,Yiannis Demiris,Yicai Yang,Yifan Jiao,Yuhong Li,Yuhong Li,Yunhua Zhang,Yuxuan Sun,Zheng Zhang,Zheng Zhu,Zhen-Hua Feng,Zhihui Wang,Zhiqun He +158 more
TL;DR: The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative; results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Proceedings ArticleDOI
Attentional Correlation Filter Network for Adaptive Visual Tracking
TL;DR: This work proposes a new tracking framework with an attentional mechanism that chooses a subset of the associated correlation filters for increased robustness and computational efficiency, and achieves similar performance to non real-time trackers, and state-of-the-art performance amongst real- time trackers.
Book ChapterDOI
RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments
TL;DR: This work addresses the issue of ground truth annotation by measuring head pose using a motion capture system and eye gaze using mobile eyetracking glasses and applies semantic image inpainting to the area covered by the glasses to bridge the gap between training and testing images by removing the obtrusiveness of the glasses.
Proceedings ArticleDOI
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
TL;DR: Patch-NetVLAD as discussed by the authors combines the advantages of both local and global descriptor methods by deriving patch-level features from NetVLAD residuals, which enables aggregation and matching of deep-learned local features defined over the feature-space grid.
Proceedings ArticleDOI
Context-Aware Deep Feature Compression for High-Speed Visual Tracking
Jongwon Choi,Hyung Jin Chang,Tobias Fischer,Sangdoo Yun,Sangdoo Yun,Kyuewang Lee,Jiyeoup Jeong,Yiannis Demiris,Jin Young Choi +8 more
TL;DR: A new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers and introduces extrinsic denoising processes and a new orthogonality loss term for pre-training and fine-tuning of the expert autoencoders.