Flownet3d++: Geometric losses for deep scene flow estimation Z Wang, S Li, H Howard-Jenkins, V Prisacariu, M Chen Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 115 | 2020 |
Correspondence networks with adaptive neighbourhood consensus S Li, K Han, TW Costain, H Howard-Jenkins, V Prisacariu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 85 | 2020 |
Project aria: A new tool for egocentric multi-modal ai research K Somasundaram, J Dong, H Tang, J Straub, M Yan, M Goesele, JJ Engel, ... arXiv preprint arXiv:2308.13561, 2023 | 22 | 2023 |
Thinking outside the box: Generation of unconstrained 3d room layouts H Howard-Jenkins, S Li, V Prisacariu Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 17 | 2019 |
Lalaloc: Latent layout localisation in dynamic, unvisited environments H Howard-Jenkins, JR Ruiz-Sarmiento, VA Prisacariu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 15 | 2021 |
LaLaLoc++: Global floor plan comprehension for layout localisation in unvisited environments H Howard-Jenkins, VA Prisacariu European Conference on Computer Vision, 693-709, 2022 | 7 | 2022 |
Cos R-CNN for Online Few-shot Object Detection GW Putra Data, H Howard-Jenkins, D Murray, V Prisacariu arXiv e-prints, arXiv: 2307.13485, 2023 | 2* | 2023 |
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model A Avetisyan, C Xie, H Howard-Jenkins, TY Yang, S Aroudj, S Patra, ... arXiv preprint arXiv:2403.13064, 2024 | 1 | 2024 |
Deep vision for indoor understanding and localisation H Howard-Jenkins University of Oxford, 2022 | | 2022 |
GroSS: Group-Size Series Decomposition for Grouped Architecture Search H Howard-Jenkins, Y Li, VA Prisacariu arXiv, arXiv: 1912.00673, 2019 | | 2019 |
LaLaLoc-Supplementary Material H Howard-Jenkins, JR Ruiz-Sarmiento, M Perception, VA Prisacariu | | |