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ORCID34th BMVC Workshop 2023: Aberdeen, UK
- 34th British Machine Vision Conference Workshop Proceedings, BMVC Workshop 2023, Aberdeen, UK, November 20-24, 2023. BMVA Press 2023
- Farrukh Rahman:
Weak Supervision for Label Efficient Visual Bug Detection. - Eleftherios Ioannou, Steve Maddock:
Neural Style Transfer for Computer Games. - Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Towards General Game Representations: Decomposing Games Pixels into Content and Style. - Nguyen Huu Bao Long, Tohgoroh Matsui:
STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition. - Antoine Maiorca, Thierry Ravet, Thierry Dutoit:
Self-Avatar's Animation in VR: Extending Sparse Motion Features with Cartesian Coordinates in Transformer-based Model. - Ken Miyamoto, Masato Tsuchiya, Takashi Ota, Teng-Yok Lee:
Towards Robot Anomaly Detection. - Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort:
A Practical Mixed Precision Algorithm for Post-Training Quantization. - Fayaz Rahman, C. B. Dev Narayan, Mohib Ullah, Muhammad Mudassar Yamin, Øyvind Nordbø, Christopher Coello, Ali Shariq Imran, G. Santhosh Kumar, Madhu S. Nair, Faouzi Alaya Cheikh:
Self-supervised animal detection in constrained environment. - Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs. - Manuel Sarmiento, David Varas, Elisenda Bou-Balust:
Actor and Context Attentions for Spatio-Temporal Action Localization. - Hanyuan Wang, Majid Mirmehdi, Dima Damen, Toby Perrett:
Centre Stage: Centricity-based Audio-Visual Temporal Action Detection. - Jasmin Breitenstein, Kangdong Jin, Aziz Hakiri, Marvin Klingner, Tim Fingscheidt:
End-to-end Amodal Video Instance Segmentation. - Olivier Laurendin, Sébastien Ambellouis, Ankur Mahtani, Anthony Fleury:
Pedestrian and Automatic Doors Abnormal Interactions Detection using Multi-Task Self-Supervised Learning. - Rebecca Leygonie, Sylvain Lobry, Laurent Wendling:
An a contrario approach for plant disease detection. - Christel Chappuis, Charlotte Sertic, Nicola Santacroce, Javiera Castillo Navarro, Sylvain Lobry, Bertrand Le Saux, Devis Tuia:
Multi-task prompt-RSVQA to explicitly count objects on aerial images. - Lamiae El Mendili, Sylvie Daniel, Thierry Badard, Patrick Dallaire:
Contrastive Maximum Mean Discrepancy for Unsupervised Domain Adaptation Applied to Large Scale 3D LiDAR Semantic Segmentation. - Mazvydas Gudelis, Michal Mackiewicz, Julie Bremner, Sophie Fielding:
Computer Vision Pipeline for Automated Antarctic Krill Analysis.
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last updated on 2024-12-29 01:34 CET by the dblp team
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