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Found 12 papers, 2 papers with code
PANDORA: Diffusion Policy Learning for Dexterous Robotic Piano Playing
We present PANDORA, a novel diffusion-based policy learning framework designed specifically for dexterous robotic piano performance.
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
Our findings call for immediate and decisive action to address the trustworthiness of DriveVLMs -- an issue of critical importance to public safety and the welfare of all citizens relying on autonomous transportation systems.
Large Spatial Model: End-to-end Unposed Images to Semantic 3D
To tackle the scarcity of labeled 3D semantic data and enable natural language-driven scene manipulation, we incorporate a pre-trained 2D language-based segmentation model into a 3D-consistent semantic feature field.
4K4DGen: Panoramic 4D Generation at 4K Resolution
Subsequently, we propose \textbf{Dynamic Panoramic Lifting} to elevate the panoramic video into a 4D immersive environment while preserving spatial and temporal consistency.
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem
By modeling the inverse design of PCSEL as a sequential decision-making problem, RL approaches can construct a satisfactory PCSEL structure from scratch.
Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning
RMT and a range of DLC models were applied to the video data with tapping frequencies up to 8Hz to extract movement features.
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models
Convolutional neural network (CNN) models have seen advanced improvements in performance in various domains, but lack of interpretability is a major barrier to assurance and regulation during operation for acceptance and deployment of AI-assisted applications.
A Comprehensive Review on Deep Supervision: Theories and Applications
Deep supervision, or known as 'intermediate supervision' or 'auxiliary supervision', is to add supervision at hidden layers of a neural network.
POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices
In this work, we propose the first-ever Transformer model (POViT) to efficiently design and simulate semiconductor photonic devices with multiple objectives.
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection
Keypoint detection plays an important role in a wide range of applications.
Applications of Artificial Intelligence to aid detection of dementia: a narrative review on current capabilities and future directions
With populations ageing, the number of people with dementia worldwide is expected to triple to 152 million by 2050.
Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis
Interestingly, the principal component analysis exactly provides an effective way to define such a frame, i. e. setting the principal components as the frame axes.
