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Dayoub, Feras
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1

Cross-Attention Between Satellite and Ground Views for Enha..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Yuan, Dong ; Maire, Frederic ; Dayoub, Feras - p. 1238-1245 , 2024
Link: https://doi.org/10.1109/..
 
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2

ParticleNeRF: A Particle-Based Encoding for Online Neural R..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Abou-Chakra, Jad ; Dayoub, Feras ; Sunderhauf, Niko - p. 5963-5972 , 2024
Link: https://doi.org/10.1109/..
 
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3

Hyperdimensional Feature Fusion for Out-of-Distribution Det..:

, In: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Wilson, Samuel ; Fischer, Tobias ; Sunderhauf, Niko. - p. 2643-2653 , 2023
Link: https://doi.org/10.1109/..
 
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4

Predicting Class Distribution Shift for Reliable Domain Ada..:

Chapman, Nicolas Harvey ; Dayoub, Feras ; Browne, Will.
IEEE Robotics and Automation Letters.  8 (2023)  8 - p. 5084-5091 , 2023
Link: https://doi.org/10.1109/..
 
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5

Learning from Learned Network: An Introspective Model for A..:

, In: Proceedings of International Conference on Information and Communication Technology for Development; Studies in Autonomic, Data-driven and Industrial Computing,
Ali, Shahnewaz ; Dayoub, Feras ; Pandey, Ajay K. - p. 393-406 , 2023
Link: https://doi.org/10.1007/..
 
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6

SAFE: Sensitivity-Aware Features for Out-of-Distribution Ob..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Wilson, Samuel ; Fischer, Tobias ; Dayoub, Feras.. - p. 23508-23519 , 2023
Link: https://doi.org/10.1109/..
 
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7

Uncertainty for Identifying Open-Set Errors in Visual Objec..:

Miller, Dimity ; Sunderhauf, Niko ; Milford, Michael.
IEEE Robotics and Automation Letters.  7 (2022)  1 - p. 215-222 , 2022
Link: https://doi.org/10.1109/..
 
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8

BenchBot environments for active robotics (BEAR): Simulated..:

Hall, David ; Talbot, Ben ; Bista, Suman Raj...
The International Journal of Robotics Research.  41 (2022)  3 - p. 259-269 , 2022
Link: https://doi.org/10.1177/..
 
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9

What Can Robotics Research Learn from Computer Vision Resea..:

, In: Springer Proceedings in Advanced Robotics; Robotics Research,
Corke, Peter ; Dayoub, Feras ; Hall, David.. - p. 987-1003 , 2022
Link: https://doi.org/10.1007/..
 
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10

Run-Time Monitoring of Machine Learning for Robotic Percept..:

Rahman, Quazi Marufur ; Corke, Peter ; Dayoub, Feras
IEEE Access.  9 (2021)  - p. 20067-20075 , 2021
Link: https://doi.org/10.1109/..
 
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11

Probabilistic Object Detection: Definition and Evaluation:

, In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV),
Hall, David ; Dayoub, Feras ; Skinner, John... - p. 1020-1029 , 2020
Link: https://doi.org/10.1109/..
 
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12

Learning Landmark Guided Embeddings for Animal Re-identific..:

, In: 2020 IEEE Winter Applications of Computer Vision Workshops (WACVW),
Moskvyak, Olga ; Maire, Frederic ; Dayoub, Feras. - p. 12-19 , 2020
Link: https://doi.org/10.1109/..
 
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13

Predictive and adaptive maps for long-term visual navigatio..:

, In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
Halodova, Lucie ; Dvorrakova, Eliska ; Majer, Filip... - p. 7033-7039 , 2019
Link: https://doi.org/10.1109/..
 
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14

Did You Miss the Sign? A False Negative Alarm System for Tr..:

, In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
Rahman, Quazi Marufur ; Sunderhauf, Niko ; Dayoub, Feras - p. 3748-3753 , 2019
Link: https://doi.org/10.1109/..
 
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15

A rapidly deployable classification system using visual dat..:

Hall, David ; Dayoub, Feras ; Perez, Tristan.
Computers and Electronics in Agriculture.  148 (2018)  - p. 107-120 , 2018
Link: https://doi.org/10.1016/..
 
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