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Current Topics of Interest
- Self-supervision methods
- Vision transformers
- Instance, panoptic, and semantic segmentation
- Weakly supervised methods
- Generative Adversarial Networks
- Applications in precision agriculture and remote sensing
Recent Publications
- Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks (CVPR 2022, oral)
- Towards Single Stage Weakly Supervised Semantic Segmentation (Arxiv)
- AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk (WACV 2021)
- H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement (WACV 2021)
- Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors (CVPRW 2020, oral)
- ViewSynth: Learning Local Features from Depth using View Synthesis (BMVC 2020)