Dayoub, Feras

20 publications

CVPR 2025 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Jiajun Deng, Tianyu He, Li Jiang, Tianyu Wang, Feras Dayoub, Ian Reid

WACV 2025 Enhancing Embodied Object Detection with Spatial Feature Memory Nicolas Harvey Chapman, Christopher Lehnert, Will Browne, Feras Dayoub

CoRL 2025 ObjectReact: Learning Object-Relative Control for Visual Navigation Sourav Garg, Dustin Craggs, Vineeth Bhat, Lachlan Mares, Stefan Podgorski, Madhava Krishna, Feras Dayoub, Ian Reid

WACV 2025 To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation Savitha Sam Abraham, Sourav Garg, Feras Dayoub

WACV 2024 Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization Dong Yuan, Frederic Maire, Feras Dayoub

ECCVW 2024 Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub

WACV 2024 ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf

CoRL 2024 Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Suenderhauf

CVPRW 2024 Robust Perspective-N-Crater for Crater-Based Camera Pose Estimation Sofia McLeod, Chee Kheng Chng, Tatsuharu Ono, Yuta Shimizu, Ryodo Hemmi, Lachlan Holden, Matthew Rodda, Feras Dayoub, Hirdy Miyamoto, Yukihiro Takahashi, Yasuko Kasai, Tat-Jun Chin

AAAI 2024 Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen

WACV 2023 Hyperdimensional Feature Fusion for Out-of-Distribution Detection Samuel Wilson, Tobias Fischer, Niko Sünderhauf, Feras Dayoub

ICCV 2023 SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf

WACV 2021 Class Anchor Clustering: A Loss for Distance-Based Open Set Recognition Dimity Miller, Niko Sunderhauf, Michael Milford, Feras Dayoub

WACV 2021 Keypoint-Aligned Embeddings for Image Retrieval and Re-Identification Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

ICLR 2021 Semi-Supervised Keypoint Localization Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

CVPR 2021 VarifocalNet: An IoU-Aware Dense Object Detector Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sunderhauf

WACV 2020 Probabilistic Object Detection: Definition and Evaluation David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Suenderhauf

CVPRW 2019 Benchmarking Sampling-Based Probabilistic Object Detectors Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub

CVPRW 2017 Episode-Based Active Learning with Bayesian Neural Networks Feras Dayoub, Niko Sünderhauf, Peter I. Corke

WACV 2015 Evaluation of Features for Leaf Classification in Challenging Conditions David Hall, Chris McCool, Feras Dayoub, Niko Sünderhauf, Ben Upcroft