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Found 10 papers, 5 papers with code
Embodied Navigation at the Art Gallery
This feature is challenging for occupancy-based agents which are usually trained in crowded domestic environments with plenty of occupancy information.
Spot the Difference: A Novel Task for Embodied Agents in Changing Environments
To make a step towards this setting, we propose Spot the Difference: a novel task for Embodied AI where the agent has access to an outdated map of the environment and needs to recover the correct layout in a fixed time budget.
Dress Code: High-Resolution Multi-Category Virtual Try-On
Dress Code is more than 3x larger than publicly available datasets for image-based virtual try-on and features high-resolution paired images (1024x768) with front-view, full-body reference models.
Ranked #5 on
Virtual Try-on
on VITON
Focus on Impact: Indoor Exploration with Intrinsic Motivation
The proposed exploration approach outperforms DRL-based competitors relying on intrinsic rewards and surpasses the agents trained with a dense extrinsic reward computed with the environment layouts.
Working Memory Connections for LSTM
Numerical results suggest that the cell state contains useful information that is worth including in the gate structure.
Out of the Box: Embodied Navigation in the Real World
In this work, we detail how to transfer the knowledge acquired in simulation into the real world.
Explore and Explain: Self-supervised Navigation and Recounting
In this paper, we devise a novel embodied setting in which an agent needs to explore a previously unknown environment while recounting what it sees during the path.
Multimodal Attention Networks for Low-Level Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a challenging task in which an agent needs to follow a language-specified path to reach a target destination.
Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters
In Vision-and-Language Navigation (VLN), an embodied agent needs to reach a target destination with the only guidance of a natural language instruction.
Anomaly Locality in Video Surveillance
This paper strives for the detection of real-world anomalies such as burglaries and assaults in surveillance videos.
