Stereo Hand-Object Reconstruction for Human-to-Robot Handover

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A journey toward generalizable trajectory forecasting models

Mohammadhossein Bahari

Autonomous driving is a revolutionary technology that has seen considerable advancements through the adoption of deep learning solutions. One of the major challenges in this field is the interaction with other road users. This interaction necessitates a "t ...

EPFL2024

Replica method for computational problems with randomness: principles and illustrations

Damien Yves Valery Barbier, Pierre Mergny

2024

Beyond Essentials: Nuanced and Diverse Text-to-video Retrieval

Yuchen Yang

The field of text-to-video retrieval has advanced significantly with the evolution of language models and large-scale pre-training on generated caption-video pairs. Current methods predominantly focus on visual and event-based details, making retrieval lar ...

Institute of Electrical and Electronics Engineers Inc.2024

Prediction rigidities for data-driven chemistry

Michele Ceriotti, Federico Grasselli, Philip Robin Loche, Matthias Linus Kellner, Sanggyu Chong, Filippo Bigi

The widespread application of machine learning (ML) to the chemical sciences is making it very important to understand how the ML models learn to correlate chemical structures with their properties, and what can be done to improve the training efficiency w ...

2024

Encoding quantum-chemical knowledge into machine-learning models of complex molecular properties

Ksenia Briling

Statistical (machine-learning, ML) models are more and more often used in computational chemistry as a substitute to more expensive ab initio and parametrizable methods. While the ML algorithms are capable of learning physical laws implicitly from data, ad ...

EPFL2024

IMU Based Pose Reconstruction and Closed-loop Control for Soft Robotic Arms

Josephine Anna Eleanor Hughes, Francesco Stella, Guanran Pei, Omar Hani Mokhtar Ahmed Meebed

Soft continuum manipulators are celebrated for their versatility and physical robustness to external forces and perturbations. However, this feature comes at a cost. The many degrees of freedom and compliance pose challenges for accurate pose reconstructio ...

Institute of Electrical and Electronics Engineers Inc.2024

Nissl_3, Raw images for Machine learning for histological annotation and quantification of cortical layers

Julie Meystre

This dataset contains images (TIFF image data) of brain juvenile rats Wistar Han (P14) scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F5 ...

Zenodo2024

Normal Contact Force Estimation Using Deep Learning

Yves Perriard, Paolo Germano, Xinxin Liao, Marc Michel Charles Favier

Small scale ultrasonic piezoelectric actuators performance strongly depends on not well-known contact dynamics. Deep Neural Network (DNN) sees their use in physic simulation growing as their flexibility allows better performance especially when dynamics la ...

Institute of Electrical and Electronics Engineers Inc.2024