AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild

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We propose a test -time adaptation for 6D object pose tracking that learns to adapt a pre -trained model to track the 6D pose of novel objects. We consider the problem of 6D object pose tracking as a 3D keypoint detection and matching task and present a mo ...

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Loop closure detection helps simultaneous localization and mapping systems reduce map and state uncertainty via recognizing previously visited places along the path of a mobile robot. However, visual loop closure detection is susceptible to scenes with dyn ...

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As technology continues to evolve, robots are becoming an intrinsic part of our lives. While robots surpass human capabilities in precision and speed, they are far from matching humans' ability to adapt to unexpected changes. Humans can quickly and complia ...

LiftPose3D infers three-dimensional poses from two-dimensional data or from limited three-dimensional data. The approach is illustrated for videos of behaving Drosophila, mice, rats and macaques. ...

AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild

Chattez avec Graph Search

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Encoder-Decoder Models for Human Segmentation and Motion Analysis

GELEX: Generative AI-Hybrid System for Example-Based Learning

Test-time adaptation for 6D pose tracking

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Gas Sensing with Rotary-Wing Nano Aerial Vehicles

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Introducing Productive Engagement for Social Robots Supporting Learning

Exact Obstacle Avoidance for Robots in Complex and Dynamic Environments Using Local Modulation

RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition

PlaceNet: A multi-scale semantic-aware model for visual loop closure detection

3D Pose Based Feedback For Physical Exercises

Deep Learning Methods for Socially-Aware Human Trajectory Forecasting

Understanding generalization and robustness in modern deep learning

GALET: A deep learning image segmentation model for drone-based grain size analysis of gravel bars

VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems

Advancing the Adaptability of Compliant Robot Controllers for Exploration, Interaction, and Manipulation

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals