My Papers

Refereed Journal/Conference Papers

2023
	CERiL: Continuous Event-based Reinforcement Learning (Celyn Walters and Simon Hadfield), In Proceedings of the British Machine Vision Conference (BMVC), 2023. (Code, Video) [bibtex] [pdf]
	EDeNN: Event Decay Neural Networks for low latency vision (Celyn Walters and Simon Hadfield), In Proceedings of the British Machine Vision Conference (BMVC), 2023. (Oral,Code, Supplementary material, Video) [bibtex] [pdf]
	RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation (Christopher Thirgood, Oscar Mendez Maldonado, Erin Chao Ling, Jon Storey and Simon Hadfield), In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2023. (Supplementary Video, Code and dataset) [bibtex] [pdf]
	Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV (Jaime Spencer, Chris Russell, Simon Hadfield and Richard Bowden), In Proceedings of the International Conference on Computer Vision (ICCV), IEEE, 2023. (Oral, Code and Benchmark, Supplementary information) [bibtex] [pdf]
2022
	Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter (Jaime Spencer, Chris Russell, Simon Hadfield and Richard Bowden), In Transactions on Machine Learning Research, Elsevier, 2022. (Code and Benchmark) [bibtex] [pdf]
	ASL-SLAM: An asynchronous formulation of lines for SLAM with Event Sensors (Nong Xiaoqi and Simon Hadfield), In Proceedings of the International Conference on Industrial Application Engineering (ICIAE), 2022. (Oral, Best Presenter Award) [bibtex] [pdf]
	SVS: Adversarial refinement for sparse novel view synthesis (Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield), In Proceedings of the British Machine Vision Conference (BMVC), 2022. (Video, Poster, Code, Supplementary Material) [bibtex] [pdf]
	Ta-DAH: Task Driven Automated Hardware Design of Free-Flying Space Robots (Lucy Jackson, Celyn Walters, Steve Eckersley, Mini Rai and Simon Hadfield), In Proceedings of the International Conference on Space Robotics & Applications (ICSRA), 2022. (Oral, Best Presenter Award, Code) [bibtex] [pdf]
	SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning (Bian Xihan, Oscar Mendez and Simon Hadfield), In Proceedings of the international conference on Intelligent Robots and Systems (IROS), 2022. (Video) [bibtex] [pdf]
2021
	EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance (Celyn Walters and Simon Hadfield), In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2021. (Teaser Video, Full Video Presentation, Code and data) [bibtex] [pdf] [doi]
	Markov Localisation using Heatmap Regression and Deep Convolutional Odometry (Oscar Mendez, Simon Hadfield and Richard Bowden), In Proceedings of the International Conference on Robotics and Automation (ICRA), 2021. (Supplementary Video) [bibtex] [pdf] [doi]
	SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition (Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly and Simon Hadfield), In Proceedings of the British Machine Vision Conference (BMVC), 2021. (Code & models, Supplementary results, Supplementary Video) [bibtex] [pdf]
	ORCHID: Optimisation of Robotic Control and Hardware In Design using Reinforcement Learning (Lucy Jackson, Celyn Walters, Steve Eckersley, Pete Senior and Simon Hadfield), In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2021. (Teaser Video, Full Video Presentation, Supplementary Report) [bibtex] [pdf] [doi]
	HARL-A: Hardware Agnostic Reinforcement Learning Through Adversarial (Lucy Jackson, Steve Eckersley, Pete Senior and Simon Hadfield), In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2021. (Teaser Video, Full Video Presentation) [bibtex] [pdf] [doi]
	Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour (Bian Xihan, Oscar Mendez and Simon Hadfield), In Proceedings of the International Conference on Robotics and Automation (ICRA), 2021. (Supplementary Video) [bibtex] [pdf] [doi]
2020
	Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation (Camgoz, Necati Cihan, Koller, Oscar, Hadfield, Simon and Bowden, Richard), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF, 2020. (Oral, Code) [bibtex] [pdf] [doi]
	DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning (Spencer, Jaime, Bowden, Richard and Hadfield, Simon), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF, 2020. (Poster, code, Video) [bibtex] [pdf] [doi]
	Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance (Spencer, Jaime, Bowden, Richard and Hadfield, Simon), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF, 2020. (Poster, code, Video, Supplementary Material) [bibtex] [pdf] [doi]
	What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes (Yau, Herman, Russell, Chris and Hadfield, Simon), In Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2020. (Poster, code, Supplementary Material, Recorded Presentation, Summary video (to be released by NeurIPS soon)) [bibtex] [pdf]
	Downsizing an orbital space robot: A dynamic system based evaluation (Lucy Jackson, Chakravarthini M Saaj, Asma Seddaoui, Calem Whiting, Steve Eckersley and Simon Hadfield), In Advances in Space Research, Elsevier, 2020. [bibtex] [pdf] [doi]
2019
	HARD-PnP: PnP Optimization Using a Hybrid Approximate Representation (Simon Hadfield, Karel Lebeda and Richard Bowden), In IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), volume 41, 2019. (supplementary material) [bibtex] [pdf] [doi]
	A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors (Walters, Celyn, Mendez, Oscar, Hadfield, Simon and Bowden, Richard), In Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE/RSJ, 2019. [bibtex] [pdf]
	Scale-adaptive Neural Dense Features: Learning via hierarchical context aggregation (Spencer, Jaime, Bowden, Richard and Hadfield, Simon), In Proceedings of the international conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2019. (code, slides) [bibtex] [pdf]
	Rapid Prototyping of Deep Learning Models on Radiation Hardened CPUs (Blacker, Peter, Bridges, Chris P. and Hadfield, Simon), In Proceedings of the Conference on Adaptive Hardware and Systems (AHS), IEEE/NASA/ESA, 2019. [bibtex] [pdf]
	Text2Sign: Towards Sign Language Production using Neural Machine Translation and Generative Adversarial Networks (Stephanie Stoll, Necati Cihan Camgoz, Simon Hadfield and Richard Bowden), In , Springer, 2019. (Recorded presentation, text2gloss code) [bibtex] [pdf]
	SeDAR: Reading floorplans like a human Using Deep Learning to enable human-inspired localisation (Oscar Mendez, Simon Hadfield, Nicolas Pugeault and Richard Bowden), In Springer International Journal of Computer Vision (IJCV), volume 128, 2019. [bibtex] [pdf]
2018
	Neural Sign Language Translation (Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, Hermann Ney and Richard Bowden), In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2018. (Poster, code) [bibtex] [pdf]
	Sign Language Production using Neural Machine Translation and Generative Adversarial Networks (Stephanie Stoll, Necati Cihan Camgoz, Simon Hadfield and Richard Bowden), In Proceedings of the British Conference on Machine Vision (BMVC), BMVA Press, 2018. (Oral, Recorded presentation, text2gloss code) [bibtex] [pdf]
	SMILE Swiss German Sign Language Dataset (Ebling, Sarah, Camgoz, Necati Cihan, Boyes Braem, Penny, Tissi, Katja, Sidler-Miserez, Sandra, Stoll, Stephanie, Hadfield, Simon, Haug, Tobias, Bowden, Richard, Tornay, Sandrine and others), In Language Resources and Evaluation Conference, 2018. (Demonstrator video) [bibtex] [pdf]
	SeDAR-Semantic Detection and Ranging: Humans can localise without LiDAR, can robots? (Oscar Mendez, Simon Hadfield, Nicolas Pugeault and Richard Bowden), In Proceedings of the International Conference on Robotics and Automation (ICRA), 2018. (Supplementary Video) [bibtex] [pdf]
2017
	Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras (Oscar Mendez, Simon Hadfield, Nicolas Pugeault and Richard Bowden), In Proceedings of the International Conference on Computer Vision (ICCV), IEEE, 2017. (Supplementary Video, Poster) [bibtex] [pdf]
	From Vision to Grasping: Adapting Visual Networks (Rebecca Allday, Simon Hadfield and Richard Bowden), In Proceeedings, Towards Autonomous Robotic Systems conference (TAROS), Springer, 2017. (Slides, Poster) [bibtex] [pdf]
	SubUNets: End-to-end Hand Shape and Continuous Sign Language Recognition (Necati Cihan Camgoz, Simon Hadfield, Oscar Koller and Richard Bowden), In Proceedings of the International Conference on Computer Vision (ICCV), IEEE, 2017. (Oral, Spotlight video, Poster, code) [bibtex] [pdf] [citations]
	TMAGIC: A Model-free 3D Tracker (Lebeda, Karel, Hadfield, Simon and Bowden, Richard), In IEEE Transactions on Image Processing, 2017. [bibtex] [pdf] [citations]
2016
	Hollywood 3D:What are the best 3D features for Action Recognition? (Simon Hadfield, Karel Lebeda and Richard Bowden), In International Journal of Computer Vision (IJCV), 2016. (Dataset and Code) [bibtex] [pdf] [doi] [citations]
	Next-best stereo: extending next best view optimisation for collaborative sensors (Oscar Mendez, Simon Hadfield, Nicolas Pugeault and Richard Bowden), In Proceedings of the British Conference on Machine Vision (BMVC), BMVA Press, 2016. (Oral) [bibtex] [pdf]
	Texture-Independent Long-Term Tracking Using Virtual Corners (Lebeda, Karel, Hadfield, Simon, Matas, Jirí and Bowden, Richard), In IEEE Transactions on Image Processing, volume 25, 2016. [bibtex] [pdf] [doi] [citations]
	Prototype for Multidisciplinary Research in the context of the Internet of Things (Miguel López-Benítez, Timothy D. Drysdale, Simon Hadfield and Mohamed Ismaeel Maricar), In journal of Network and Computer Applications (JNCA), 2016. [bibtex] [pdf] [doi]
	Stereo reconstruction using top-down cues (Simon Hadfield, Karel Lebeda and Richard Bowden), In journal of Computer Vision and Image Understanding (CVIU), 2016. (Spotlight video) [bibtex] [pdf] [doi] [citations]
2015
	Exploiting high level scene cues in stereo reconstruction (Simon Hadfield and Richard Bowden), In Proceedings of the International Conference on Computer Vision (ICCV), IEEE, 2015. (Spotlight video, Supplementary Results, Poster) [bibtex] [pdf] [doi] [citations]
	Exploring Causal Relationships in Visual Object Tracking (Karel Lebeda, Simon Hadfield and Richard Bowden), In Proceedings of the International Conference on Computer Vision (ICCV), IEEE, 2015. (Supplementary Results, Spotlight video, Code, Poster) [bibtex] [pdf] [doi] [citations]
2014
	2D Or Not 2D: Bridging the Gap Between Tracking and Structure from Motion (Lebeda, Karel, Hadfield, Simon and Bowden, Richard), In Proceedings, Asian Conference on Computer Vision (ACCV) (Cremers, Daniel, Reid, Ian, Saito, Hideo, Yang, Ming-Hsuan, eds.), Springer International Publishing, volume 9006, 2014. (Presentation Slides, Data and Results, Poster) [bibtex] [url] [doi] [citations]
	Scene Particles: Unregularized Particle Based Scene Flow Estimation (Simon Hadfield and Richard Bowden), In IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), volume 36, 2014. [bibtex] [pdf] [doi] [citations]
	Scene Flow Estimation using Intelligent Cost Functions (Simon Hadfield and Richard Bowden), In Proceedings of the British Conference on Machine Vision (BMVC) (Valstar, Michel, French, Andrew, Pridmore, Tony, eds.), BMVA Press, 2014. (Extended abstract, Poster, Supplementary results) [bibtex] [pdf] [doi] [citations]
	Natural action recognition using invariant 3D motion encoding (Simon Hadfield, Karel Lebeda and Richard Bowden), In Proceedings of the European Conference on Computer Vision (ECCV) (Tinne Tuytelaars, Bernt Schiele, Tomas Pajdla, David Fleet, eds.), Springer, volume 8690, 2014. (Poster, Spotlight Video) [bibtex] [pdf] [doi] [citations]
2013
	Hollywood 3D: Recognizing Actions in 3D Natural Scenes (Simon Hadfield and Richard Bowden), In Proceeedings, IEEE conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2013. (Poster, Dataset and Code) [bibtex] [pdf] [doi] [citations]
2012
	Go With The Flow: Hand Trajectories in 3D via Clustered Scene Flow (Simon Hadfield and Richard Bowden), In Proceedings, International Conference on Image Analysis and Recognition (Aurelio Campilho, Mohamed Kamel, eds.), Springer, volume 7324, 2012. (Oral, Supplementary Videos, Presentation Slides) [bibtex] [pdf] [doi] [citations]
2011
	Kinecting the dots: Particle Based Scene Flow From Depth Sensors (Simon Hadfield and Richard Bowden), In Proceedings, IEEE International Conference on Computer Vision (ICCV), IEEE, 2011. (Poster, Poster-video) [bibtex] [pdf] [doi] [citations]

Refereed Workshop Papers

2024
	The Third Monocular Depth Estimation Challenge (Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski and James H. Elder), In Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR), Monocular Depth Esimation Challenge workshop, IEEE/CVF, 2024. (Workshop page) [bibtex] [pdf]
	S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal (Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield), In CVPR Workshop in New Trends in Image Restoration and Enhancement (NTIRE), 2024. (code) [bibtex] [pdf]
	Generalizing to New Tasks via One-Shot Compositional Subgoals (Bian Xihan, Zhang Lianpin, Oscar Mendez and Simon Hadfield), In Proceedings of ICARA, 2024. (Oral) [bibtex] [pdf]
2023
	The Monocular Depth Estimation Challenge (Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich Graf, Wendy Adams, Andrew J. Schofield, James Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang and Chaoqiang Zhao), In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Monocular Depth Esimation Challenge workshop, IEEE, 2023. [bibtex] [pdf]
	The Second Monocular Depth Estimation Challenge (Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang and Chaoqiang Zhao), In Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR), Monocular Depth Esimation Challenge workshop, IEEE/CVF, 2023. (Workshop page) [bibtex] [pdf]
	ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs (Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield), In BMVC Workshop in Video Understanding and its Applications, 2023. (Supplementary material, Video, ) [bibtex] [pdf]
2022
	Medusa: Universal Feature Learning via Attentional Multitasking (Jaime Spencer, Richard Bowden and Simon Hadfield), In Proceedings of the international conference on Computer Vision & Pattern Recognition Workshops (CVPRW), 2022. (Poster) [bibtex] [pdf]
	SaiNet: Stereo aware inpainting behind objects with generative networks (Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield), In Proceedings of the international conference on Computer Vision & Pattern Recognition Workshops (CVPRW), 2022. (Poster) [bibtex] [pdf]
2020
	SignSynth: Data-Driven Sign Language Video Generation (Stoll, Stephanie, Hadfield, Simon and Bowden, Richard), In Eighth International Workshop on Assistive Computer Vision and Robotics, 2020. (Slides) [bibtex] [pdf] [doi]
	Multi-channel Transformers for Multi-articulatory Sign Language Translation (Camgoz, Necati Cihan, Koller, Oscar, Hadfield, Simon and Bowden, Richard), In Eighth International Workshop on Assistive Computer Vision and Robotics, 2020. (Video, Supplementary material) [bibtex] [pdf] [doi]
2019
	Auto-Perceptive Reinforcement Learning (APRiL) (Allday, Rebecca, Hadfield, Simon and Bowden, Richard), In Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) workshops, IEEE/RSJ, 2019. [bibtex] [pdf]
2018
	Localisation via Deep Imagination: learn the features not the map (Spencer, Jaime, Mendez, Oscar, Bowden, Richard and Hadfield, Simon), In Proceedings of the European Conference on Computer Vision (ECCV), workshop on Vision-based Navigation for Autonomous Driving, Springer International Publishing, 2018. (Poster) [bibtex] [pdf]
2017
	Particle Filter based Forced Alignment for Continuous Gesture Recognition (Necati Cihan Camgoz, Simon Hadfield and Richard Bowden), In Proceedings IEEE International Conference on Computer Vision (ICCV), ChaLearn Workshop, 2017. (3rd place, Poster, code) [bibtex] [pdf]
2016
	Direct-from-Video: Unsupervised NRSfM (Karel Lebeda, Simon Hadfield and Richard Bowden), In proceedings of the ECCV workshop on Recovering 6D Object Pose Estimation, Springer, volume 9915, 2016. (Oral) [bibtex] [pdf] [doi] [citations]
	The Visual Object Tracking VOT2016 Challenge Results (Matej Kristan, Aleš Leonardis, Jiři Matas, Michael Felsberg, Roman Pflugfelder, Luka Čehovin, Tomáš Vojír, Gustav Häger, Alan Lukežič, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Alvaro Garcia-Martin, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy J. Ma, Anton Varfolomieiev, Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martinez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jae-il Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, Jose M. Martinez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin-Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian B. Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He and Zhizhen Chi), In Proceedings, European Conference on Computer Vision (ECCV) workshops, 2016. [bibtex] [url] [doi] [citations]
	The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results (Michael Felsberg, Matej Kristan, Jiři Matas, Aleš Leonardis, Roman Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Čehovin, Tomáš Vojír, Alan Lukežič, Gustavo Fernández, Alfredo Petrosino, Alvaro Garcia-Martin, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, Jose M. Martinez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin-Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian B. Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu and Zhenyu He), In Proceedings, European Conference on Computer Vision (ECCV) workshops, 2016. [bibtex] [url] [doi] [citations]
	Using Convolutional 3D Neural Networks for User-Independent Continuous Gesture Recognition (Necati Cihan Camgoz, Simon Hadfield, Oscar Koller and Richard Bowden), In Proceedings IEEE International Conference of Pattern Recognition (ICPR), ChaLearn Workshop, 2016. (Oral, 2nd place) [bibtex] [pdf] [citations]
2015
	The Visual Object Tracking VOT2015 challenge results (M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. \v Cehovin, G. Fernández, T. Vojí \v r, G. Häger, G. Nebehay, R. Pflugfelder, A. Gupta, A. Bibi, A. Luke\v zi\v c, A. Garcia-Martin, A. Petrosino, A. Saffari, A.S. Montero, A. Varfolomieiev, A. Baskurt, B. Zhao, B. Ghanem, B. Martinez, B. Lee, B. Han, C. Wang, C. Garcia, C. Zhang, C. Schmid, D. Tao, D. Kim, D. Huang, D. Prokhorov, D. Du, D.-Y. Yeung, E. Ribeiro, F.S. Khan, F. Porikli, F. Bunyak, G. Zhu, G. Seetharaman, H. Kieritz, H.T. Yau, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lee, H. Nam, I. Bogun, J.-C. Jeong, J.-I. Cho, J.-Y. Lee, J. Zhu, J. Shi, J. Li, J. Jia, J. Feng, J. Gao, J.Y. Choi, J.-W. Kim, J. Lang, J.M. Martinez, J. Choi, J. Xing, K. Xue, K. Palaniappan, K. Lebeda, K. Alahari, K. Gao, K. Yun, K.H. Wong, L. Luo, L. Ma, L. Ke, L. Wen, L. Bertinetto, M. Pootschi, M. Maresca, M. Danelljan, M. Wen, M. Zhang, M. Arens, M. Valstar, M. Tang, M.-C. Chang, M.H. Khan, N. Fan, N. Wang, O. Mikší k, P. Torr, Q. Wang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, S. Moujtahid, S. Hare, S. Hadfield, S. Lyu, S. Li, S.-C. Zhu, S. Becker, S. Duffner, S.L. Hicks, S. Golodetz, S. Choi, T. Wu, T. Mauthner, T. Pridmore, W. Hu, W. Hübner, X. Wang, X. Li, X. Shi, X. Zhao, X. Mei, Y. Shizeng, Y. Hua, Y. Li, Y. Lu, Y. Li, Z. Chen, Z. Huang, Z. Chen, Z. Zhang, Z. He and Z. Hong), In ICCV workshop on Visual Object Tracking Challenge, 2015. [bibtex] [pdf] [doi] [citations]
	Dense Rigid Reconstruction from Unstructured Discontinuous Video (Karel Lebeda, Simon Hadfield and Richard Bowden), In Proceedings of the International Conference on Computer Vision workshop on 3D Representation and Recognition, IEEE, 2015. (Oral, Slides, Supplementary Results) [bibtex] [pdf] [doi] [citations]
2014
	The Visual Object Tracking VOT2014 challenge results (Matej Kristan, Roman Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomas Vojir, Gustavo Fernandez, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, CherKeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Hager, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, JiJia Li, Jin Young Choi, Jin-Woo Choi, Joao F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Ofjall, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei and ZhiHeng Niu), In Proceedings, European Conference on Computer Vision (ECCV) Visual Object Tracking Challenge Workshop (Agapito, Lourdes, Bronstein, Michael M., Rother, Carsten, eds.), Springer International Publishing, volume 8926, 2014. [bibtex] [pdf] [doi] [citations]
	Friendly Faces: Weakly supervised character identification (Matt Marter, Simon Hadfield and Richard Bowden), In Face and Facial Expression Recognition from Real World Videos workshop at ICPR (Ji, Qiang, B. Moeslund, Thomas, Hua, Gang, Nasrollahi, Kamal, eds.), Springer International Publishing, volume 8912, 2014. (Oral) [bibtex] [pdf] [doi] [citations]
2013
	Long-Term Tracking Through Failure Cases (Karel Lebeda, Simon Hadfield, Jiri Matas and Richard Bowden), In Proceeedings, IEEE workshop on visual object tracking challenge at ICCV, IEEE, 2013. (Oral, Slides, Data) [bibtex] [pdf] [doi] [citations]
2010
	Generalised Pose Estimation Using Depth (Simon Hadfield and Richard Bowden), In Proceedings, International Workshop on Sign, Gesture and Activity at ECCV 2010 (Kiriakos N. Kutulakos, ed.), Springer, volume 6553, 2010. (Poster) [bibtex] [pdf] [doi] [citations]

Other Publications

2024
	Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV (Spencer, Jaime, Russell, Chris, Hadfield, Simon and Bowden, Richard), 2024. (code) [bibtex] [pdf]
2023
	Active Sampling for Computer Vision (Duman, Yusuf), PhD thesis, University of Surrey, 2023. [bibtex] [pdf]
	Multi-task autonomy for Robotics (Bian, Xihan), PhD thesis, University of Surrey, 2023. [bibtex] [pdf]
	ASL-SLAM: An asynchronous formulation of lines for SLAM with Event Sensors (Nong, Xiaoqi), PhD thesis, University of Surrey, 2023. [bibtex] [pdf]
2022
	Using Reinforcement Learning to Design and Control Free-Flying Space Robots (Jackson, Lucy), PhD thesis, University of Surrey, 2022. [bibtex] [pdf]
	Learning Generic Deep Feature Representations (Spencer, Jaime), PhD thesis, University of Surrey, 2022. (Sullivan Thesis Prize winner) [bibtex] [pdf]
2021
	Machine Learning for Robotic Grasping (Rebecca Allday), PhD thesis, University of Surrey, 2021. [bibtex] [pdf]
	Optimal Use of Machine Learning for Planetary Terrain Navigation (Peter Blacker), PhD thesis, University of Surrey, 2021. [bibtex] [pdf]
2020
	Neural Sign Language Recognition and Translation (Necati Cihan Camgoz), PhD thesis, University of Surrey, 2020. [bibtex] [pdf]
	Extrinsic sensor calibration systems and methods (Walters, Celyn, Bowden, Richard, Maldonado, Oscar Mendez and Hadfield, Simon), 2020. (US Patent App. 16/676,186) [bibtex] [url]
2018
	Learning to Recognise Visual Content from Textual Annotation (Marter, Matt), PhD thesis, University of Surrey, 2018. [bibtex] [pdf]
2017
	Collaborative Strategies for Autonomous Localisation, 3D Reconstruction and Pathplanning (Mendez, Oscar), PhD thesis, University of Surrey, 2017. (Sullivan Thesis Prize winner, top UK thesis in computer vision) [bibtex] [pdf]
2016
	2D and 3D Tracking and Modelling (Lebeda, Karel), PhD thesis, University of Surrey, 2016. (Sullivan Thesis Prize winner, top UK thesis in computer vision) [bibtex] [pdf]
2013
	The estimation and use of 3D information, for natural human action recognition (Simon Hadfield), PhD thesis, University of Surrey, 2013. (Viva Presentation Slides) [bibtex] [pdf] [citations]