Publications

(2024). FreeDA: Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024.

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(2023). What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. In Winter Conference on Applications of Computer Vision (WACV) 2024.

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(2023). FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic References Retrieval. In Winter Conference on Applications of Computer Vision (WACV) 2024.

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(2023). Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images.

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(2023). Superpixel Positional Encoding to Improve ViT-based Semantic Segmentation Models. In British Machine Vision Conference (BMVC) 2023.

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(2023). Enhancing Open-Vocabulary Semantic Segmentation with Prototype Retrieval. In International Conference on Image Analysis and Processing (ICIAP) 2023.

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(2023). MaPeT: Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training.

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(2022). A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques. In IEEE Consumer Communications and Networking Conference (CCNC) 2022.

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(2022). Investigating Bidimensional Downsampling in Vision Transformer Models. In International Conference on Image Analysis and Processing (ICIAP) 2021.

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(2021). Assessing the Role of Boundary-Level Objectives in Indoor Semantic Segmentation. In International Conference on Computer Analysis of Images and Patterns (CAIP) 2021.

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(2021). Improving Indoor Semantic Segmentation with Boundary-Level Objectives. In International Work-Conference on Artificial Neural Networks (IWANN) 2021.

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(2020). Estimation of Traffic Matrices via Super-resolution and Federated Learning. In International Conference on Emerging Networking EXperiments and Technologies (CoNEXT) 2020.

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