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2020 – today
- 2024
[c57]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, James H. Elder:
The Third Monocular Depth Estimation Challenge. CVPR Workshops 2024: 1-14- [c56]Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal. CVPR Workshops 2024: 5898-5908 - [c55]Xihan Bian, Oscar Mendez Maldonado, Zhang Lianpin, Simon Hadfield:
Generalizing to New Tasks via One-Shot Compositional Subgoals. ICARA 2024: 491-495 - [i36]Jaime Spencer, Chris Russell
, Simon Hadfield, Richard Bowden:
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV. CoRR abs/2403.01569 (2024) - [i35]Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal. CoRR abs/2404.12103 (2024) - [i34]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, James H. Elder:
The Third Monocular Depth Estimation Challenge. CoRR abs/2404.16831 (2024) - [i33]Sarthak Batra, Partha Pratim Chakraborty, Simon Hadfield, Armin Mustafa:
Single-image coherent reconstruction of objects and humans. CoRR abs/2408.08086 (2024) - [i32]Nikolina Kubiak, Elliot Wortman, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification. CoRR abs/2408.17143 (2024) - [i31]Tavis Shore, Oscar Mendez, Simon Hadfield:
SpaGBOL: Spatial-Graph-Based Orientated Localisation. CoRR abs/2409.15514 (2024) - 2023
- [c54]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs. BMVC Workshop 2023 - [c53]Celyn Walters, Simon Hadfield:
EDeNN: Event Decay Neural Networks for low latency vision. BMVC 2023: 497 - [c52]Celyn Walters, Simon Hadfield:
CERiL: Continuous Event-based Reinforcement Learning. BMVC 2023: 498 - [c51]Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. 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, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CVPR Workshops 2023: 3064-3076 - [c50]Jaime Spencer, Simon Hadfield, Chris Russell, Richard Bowden:
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. ICCV 2023: 15722-15733 - [c49]Christopher Thomas Thirgood, Oscar Mendez Maldonado, Erin Chao Ling, Jon Storey, Simon Hadfield:
RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation. IROS 2023: 5296-5303 - [c48]Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao:
The Monocular Depth Estimation Challenge. WACV (Workshops) 2023: 623-632 - [i30]Celyn Walters, Simon Hadfield:
CERiL: Continuous Event-based Reinforcement Learning. CoRR abs/2302.07667 (2023) - [i29]Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. 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, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CoRR abs/2304.07051 (2023) - [i28]Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden:
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. CoRR abs/2307.10713 (2023) - [i27]Christopher Thomas Thirgood, Oscar Alejandro Mendez Maldonado, Chao Ling, Jonathan Storey, Simon Hadfield:
RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation. CoRR abs/2309.08301 (2023) - [i26]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs. CoRR abs/2311.18491 (2023) - [i25]Tavis Shore, Simon Hadfield, Oscar Mendez Maldonado:
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation. CoRR abs/2312.15363 (2023) - 2022
- [j10]Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. Trans. Mach. Learn. Res. 2022 (2022) - [c47]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SVS: Adversarial refinement for sparse novel view synthesis. BMVC 2022: 886 - [c46]Jaime Spencer, Richard Bowden, Simon Hadfield:
Medusa: Universal Feature Learning via Attentional Multitasking. CVPR Workshops 2022: 3799-3808 - [c45]Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield:
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning. IROS 2022: 7060-7065 - [i24]Jaime Spencer, Richard Bowden, Simon Hadfield:
Medusa: Universal Feature Learning via Attentional Multitasking. CoRR abs/2204.05698 (2022) - [i23]Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield:
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning. CoRR abs/2205.03130 (2022) - [i22]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SaiNet: Stereo aware inpainting behind objects with generative networks. CoRR abs/2205.07014 (2022) - [i21]Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield:
Generalizing to New Tasks via One-Shot Compositional Subgoals. CoRR abs/2205.07716 (2022) - [i20]Yusuf Duman, Jean-Yves Guillemaut, Simon Hadfield:
Adaptive sampling for scanning pixel cameras. CoRR abs/2207.13460 (2022) - [i19]Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. CoRR abs/2208.01489 (2022) - [i18]Celyn Walters, Simon Hadfield:
EDeNN: Event Decay Neural Networks for low latency vision. CoRR abs/2209.04362 (2022) - [i17]Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SVS: Adversarial refinement for sparse novel view synthesis. CoRR abs/2211.07301 (2022) - [i16]Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao:
The Monocular Depth Estimation Challenge. CoRR abs/2211.12174 (2022) - 2021
- [c44]Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition. BMVC 2021: 82 - [c43]Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield:
Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour. ICRA 2021: 5959-5965 - [c42]Oscar Mendez Maldonado, Simon Hadfield, Richard Bowden:
Markov Localisation using Heatmap Regression and Deep Convolutional Odometry. ICRA 2021: 9638-9644 - [c41]Celyn Walters, Simon Hadfield:
EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance. IROS 2021: 1304-1309 - [c40]Lucy Jackson, Steve Eckersley, Pete Senior, Simon Hadfield:
HARL-A: Hardware Agnostic Reinforcement Learning Through Adversarial Selection. IROS 2021: 3499-3505 - [c39]Lucy Jackson, Celyn Walters, Steve Eckersley, Pete Senior, Simon Hadfield:
ORCHID: Optimisation of Robotic Control and Hardware In Design using Reinforcement Learning. IROS 2021: 4911-4917 - [i15]Celyn Walters, Oscar Mendez Maldonado, Simon Hadfield, Richard Bowden:
A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors. CoRR abs/2103.09641 (2021) - [i14]Oscar Mendez Maldonado, Simon Hadfield, Richard Bowden:
Markov Localisation using Heatmap Regression and Deep Convolutional Odometry. CoRR abs/2106.00371 (2021) - [i13]Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield:
Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour. CoRR abs/2106.01434 (2021) - [i12]Celyn Walters, Simon Hadfield:
EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance. CoRR abs/2109.00405 (2021) - [i11]Nikolina Kubiak, Simon Hadfield:
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression. CoRR abs/2109.10658 (2021) - [i10]Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition. CoRR abs/2110.12914 (2021) - 2020
- [j9]Stephanie Stoll, Necati Cihan Camgöz, Simon Hadfield, Richard Bowden:
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks. Int. J. Comput. Vis. 128(4): 891-908 (2020) - [j8]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
SeDAR: Reading Floorplans Like a Human - Using Deep Learning to Enable Human-Inspired Localisation. Int. J. Comput. Vis. 128(5): 1286-1310 (2020) - [c38]Jaime Spencer, Richard Bowden, Simon Hadfield:
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance. CVPR 2020: 6458-6467 - [c37]Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden:
Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation. CVPR 2020: 10020-10030 - [c36]Jaime Spencer, Richard Bowden, Simon Hadfield:
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning. CVPR 2020: 14390-14401 - [c35]Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden:
Multi-channel Transformers for Multi-articulatory Sign Language Translation. ECCV Workshops (4) 2020: 301-319 - [c34]Stephanie Stoll, Simon Hadfield, Richard Bowden:
SignSynth: Data-Driven Sign Language Video Generation. ECCV Workshops (4) 2020: 353-370 - [c33]Herman Yau, Chris Russell, Simon Hadfield:
What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes. NeurIPS 2020 - [i9]Jaime Spencer, Richard Bowden, Simon Hadfield:
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance. CoRR abs/2003.13431 (2020) - [i8]Jaime Spencer, Richard Bowden, Simon Hadfield:
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning. CoRR abs/2003.13446 (2020) - [i7]Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden:
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation. CoRR abs/2003.13830 (2020) - [i6]Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden:
Multi-channel Transformers for Multi-articulatory Sign Language Translation. CoRR abs/2009.00299 (2020) - [i5]Peter Blacker, Christopher Paul Bridges, Simon Hadfield:
Diagonal Memory Optimisation for Machine Learning on Micro-controllers. CoRR abs/2010.01668 (2020) - [i4]Herman Yau, Chris Russell, Simon Hadfield:
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes. CoRR abs/2011.05064 (2020)
2010 – 2019
- 2019
- [j7]Simon Hadfield, Karel Lebeda, Richard Bowden:
HARD-PnP: PnP Optimization Using a Hybrid Approximate Representation. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 768-774 (2019) - [c32]Peter Blacker, Christopher Paul Bridges, Simon Hadfield:
Rapid Prototyping of Deep Learning Models on Radiation Hardened CPUs. AHS 2019: 25-32 - [c31]Jaime Spencer, Richard Bowden, Simon Hadfield:
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation. CVPR 2019: 6200-6209 - [c30]Celyn Walters, Oscar Mendez Maldonado, Simon Hadfield, Richard Bowden:
A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors. IROS 2019: 36-42 - [i3]Jaime Spencer, Richard Bowden, Simon Hadfield:
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation. CoRR abs/1903.10427 (2019) - 2018
- [c29]Stephanie Stoll, Necati Cihan Camgöz, Simon Hadfield, Richard Bowden:
Sign Language Production using Neural Machine Translation and Generative Adversarial Networks. BMVC 2018: 304 - [c28]Necati Cihan Camgöz, Simon Hadfield, Oscar Koller, Hermann Ney, Richard Bowden:
Neural Sign Language Translation. CVPR 2018: 7784-7793 - [c27]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, 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 Singh 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, 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 S. 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, Ruihe Qian, 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, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c26]Jaime Spencer, Oscar Mendez Maldonado, Richard Bowden, Simon Hadfield:
Localisation via Deep Imagination: Learn the Features Not the Map. ECCV Workshops (5) 2018: 710-726 - [c25]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
SeDAR - Semantic Detection and Ranging: Humans can Localise without LiDAR, can Robots? ICRA 2018: 1-8 - [c24]Sarah Ebling, Necati Cihan Camgöz, Penny Boyes Braem, Katja Tissi, Sandra Sidler-Miserez, Stephanie Stoll, Simon Hadfield, Tobias Haug, Richard Bowden, Sandrine Tornay, Marzieh Razavi, Mathew Magimai-Doss:
SMILE Swiss German Sign Language Dataset. LREC 2018 - [i2]Jaime Spencer, Oscar Mendez Maldonado, Richard Bowden, Simon Hadfield:
Localisation via Deep Imagination: learn the features not the map. CoRR abs/1811.07583 (2018) - 2017
- [j6]Simon Hadfield, Karel Lebeda, Richard Bowden:
Stereo reconstruction using top-down cues. Comput. Vis. Image Underst. 157: 206-222 (2017) - [j5]Simon Hadfield, Karel Lebeda, Richard Bowden:
Hollywood 3D: What are the Best 3D Features for Action Recognition? Int. J. Comput. Vis. 121(1): 95-110 (2017) - [j4]Miguel López-Benítez, Timothy D. Drysdale, Simon Hadfield, Mohamed Ismaeel Maricar:
Prototype for multidisciplinary research in the context of the Internet of Things. J. Netw. Comput. Appl. 78: 146-161 (2017) - [j3]Karel Lebeda, Simon Hadfield, Richard Bowden:
TMAGIC: A Model-Free 3D Tracker. IEEE Trans. Image Process. 26(9): 4378-4388 (2017) - [c23]Necati Cihan Camgöz, Simon Hadfield, Oscar Koller, Richard Bowden:
SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition. ICCV 2017: 3075-3084 - [c22]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras. ICCV 2017: 4687-4695 - [c21]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - [c20]Necati Cihan Camgöz, Simon Hadfield, Richard Bowden:
Particle Filter Based Probabilistic Forced Alignment for Continuous Gesture Recognition. ICCV Workshops 2017: 3079-3085 - [c19]Rebecca Allday, Simon Hadfield, Richard Bowden:
From Vision to Grasping: Adapting Visual Networks. TAROS 2017: 484-494 - [i1]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
SeDAR - Semantic Detection and Ranging: Humans can localise without LiDAR, can robots? CoRR abs/1709.01500 (2017) - 2016
- [j2]Karel Lebeda, Simon Hadfield, Jiri Matas, Richard Bowden:
Texture-Independent Long-Term Tracking Using Virtual Corners. IEEE Trans. Image Process. 25(1): 359-371 (2016) - [c18]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors. BMVC 2016 - [c17]Karel Lebeda, Simon Hadfield, Richard Bowden:
Direct-from-Video: Unsupervised NRSfM. ECCV Workshops (3) 2016: 578-594 - [c16]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa 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, Jaeil 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, José M. Martínez, 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 Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. 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 Bernd 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 P. 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, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c15]Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, 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, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo 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 Bernd 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, Zhenyu He:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849 - [c14]Necati Cihan Camgöz, Simon Hadfield, Oscar Koller, Richard Bowden:
Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition. ICPR 2016: 49-54 - 2015
- [c13]Simon Hadfield, Richard Bowden:
Exploiting High Level Scene Cues in Stereo Reconstruction. ICCV 2015: 783-791 - [c12]Karel Lebeda, Simon Hadfield, Richard Bowden:
Exploring Causal Relationships in Visual Object Tracking. ICCV 2015: 3065-3073 - [c11]Karel Lebeda, Simon Hadfield, Richard Bowden:
Dense Rigid Reconstruction from Unstructured Discontinuous Video. ICCV Workshops 2015: 814-822 - 2014
- [j1]Simon Hadfield, Richard Bowden:
Scene Particles: Unregularized Particle-Based Scene Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 564-576 (2014) - [c10]Karel Lebeda, Simon Hadfield, Richard Bowden:
2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion. ACCV (4) 2014: 642-658 - [c9]Simon Hadfield, Richard Bowden:
Scene Flow Estimation using Intelligent Cost Functions. BMVC 2014 - [c8]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. 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, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c7]Simon Hadfield, Karel Lebeda, Richard Bowden:
Natural Action Recognition Using Invariant 3D Motion Encoding. ECCV (2) 2014: 758-771 - [c6]