35 citations · 66 across the 7 of their papers we have counts for
8 papers
Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
Muhammad Usama, Yeoreum Jung
Existing depth-compression methods for large language models (LLMs) score layers individually or group only adjacent or contiguous layers, implicitly assuming that functional redun…
The Rosario Dataset v2: Multimodal Dataset for Agricultural Robotics
Nicolas Soncini, Javier Cremona, Erica Vidal +3
We present a multi-modal dataset collected in a soybean crop field, comprising over two hours of recorded data from sensors such as stereo infrared camera, color camera, accelerome…
The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking
Mateo de Mayo, Daniel Cremers, Taihú Pire
Humanoid robots and mixed reality headsets benefit from the use of head-mounted sensors for tracking. While advancements in visual-inertial odometry (VIO) and simultaneous localiza…
Addressing the challenges of loop detection in agricultural environments
Nicolás Soncini, Javier Civera, Taihú Pire
While visual SLAM systems are well studied and achieve impressive results in indoor and urban settings, natural, outdoor and open-field environments are much less explored and stil…
GNSS-stereo-inertial SLAM for arable farming
Javier Cremona, Javier Civera, Ernesto Kofman +1
The accelerating pace in the automation of agricultural tasks demands highly accurate and robust localization systems for field robots. Simultaneous Localization and Mapping (SLAM)…
Experimental Evaluation of Visual-Inertial Odometry Systems for Arable Farming
Javier Cremona, Román Comelli, Taihú Pire
The farming industry constantly seeks the automation of different processes involved in agricultural production, such as sowing, harvesting and weed control. The use of mobile auto…
WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks
Javier Cremona, Lucas Uzal, Taihú Pire
In this work we present WGANVO, a Deep Learning based monocular Visual Odometry method. In particular, a neural network is trained to regress a pose estimate from an image pair. Th…
The Rosario Dataset: Multisensor Data for Localization and Mapping in Agricultural Environments
Taihú Pire, Martín Mujica, Javier Civera +1
In this paper we present The Rosario Dataset, a collection of sensor data for autonomous mobile robotics in agricultural scenes. The dataset is motivated by the lack of realistic s…