11 citations · 11 across the 5 of their papers we have counts for
7 papers
Generative Uncertainty as a Self-supervised Signal for Semantic Similarity Learning
Enrico Pallotta, Sina Raoufi, Lars Doorenbos +2
Evaluating semantic similarity between videos is a fundamental challenge in computer vision, essential for tasks ranging from out-of-distribution (OOD) detection to video retrieval…
ContactFlow: A video action conditioning that transfers across embodiments
Sami Azirar, Enrico Pallotta, Jan Nogga +3
World models offer a promising route toward robot planning by enabling agents to imagine and verify the consequences of actions before execution. However, current video-based world…
Forecasting the Number of Harvest-ready Fruits of Sweet Peppers Using Multimodal Time-Series Data
Enrico Pallotta, Mohamed Farag, Esra Guclu +3
Accurate yield forecasting at the individual-plant level is critical for precision agriculture and supply-chain planning, yet public datasets capturing both visual growth dynamics…
Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels
Michael Halstead, Esra Guclu, Mohamed Farag +7
In this manuscript we release two datasets for visual sensing of tomato plants grown in commercial-like settings and acquired using a robot. The first is BUTom21 which consists of…
Sequence-Adaptive Video Prediction in Continuous Streams using Diffusion Noise Optimization
Sina Mokhtarzadeh Azar, Emad Bahrami, Enrico Pallotta +3
In this work, we investigate diffusion-based video prediction models, which forecast future video frames, for continuous video streams. In this context, the models observe continuo…
EgoControl: Controllable Egocentric Video Generation via 3D Full-Body Poses
Enrico Pallotta, Sina Mokhtarzadeh Azar, Lars Doorenbos +3
Egocentric video generation with fine-grained control through body motion is a key requirement towards embodied AI agents that can simulate, predict, and plan actions. In this work…
Race Against the Machine: a Fully-annotated, Open-design Dataset of Autonomous and Piloted High-speed Flight
Michael Bosello, Davide Aguiari, Yvo Keuter +7
Unmanned aerial vehicles, and multi-rotors in particular, can now perform dexterous tasks in impervious environments, from infrastructure monitoring to emergency deliveries. Autono…