🎉 StructXLIP: Enhancing Vision-Language Models with Multimodal Structural Cues…
We are excited to share that our paper “StructXLIP: Enhancing…
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We are focusing on all of those learning techniques which are capable of dealing with multimodal data. We have a specific focus on disentanglement analysis, learning for forecasting, anomaly detection. We are also collaborating with prof. Franco Fummi for developing tiny machine learning solutions, such as split computing.
We are excited to share that our paper “StructXLIP: Enhancing…
Read MoreWe are excited to share that our paper “LOTS of…
Read MoreWe are excited to share that our paper “Collaborative Instance…
Read MoreINTELLIGO Labs is starting a new journey to expand horizons…
Read MoreOur new HARPER dataset is being presented as an Oral…
Read MorePleased to announce that I2EDL: Interactive Instruction Error Detection and…
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The aim of this internship and thesis is the expansion…
Read MoreThis project has as objective to create a synthetic dataset…
Read MoreThis project aims to explore the task of semantic segmentation…
Read MoreThe Project consists in the implementation of a markerless multi-camera…
Read MoreEstimate people’s location and orientation from monocular cameras. This is…
Read MoreAre you interested in synesthesis? The idea is to study…
Read MoreThe goal is to work on an advanced quality control…
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