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Found 11 papers, 3 papers with code
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
Recent work on human animation usually involves audio, pose, or movement maps conditions, thereby achieves vivid animation quality.
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
In contrast, Large Vision-Language Models (LVLMs) excel in scene understanding and reasoning.
HE-Drive: Human-Like End-to-End Driving with Vision Language Models
In this paper, we propose HE-Drive: the first human-like-centric end-to-end autonomous driving system to generate trajectories that are both temporally consistent and comfortable.
OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity
In this paper, we introduce OccRWKV, an efficient semantic occupancy network inspired by Receptance Weighted Key Value (RWKV).
AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias
Artificial intelligence (AI) is rapidly advancing in healthcare, enhancing the efficiency and effectiveness of services across various specialties, including cardiology, ophthalmology, dermatology, emergency medicine, etc.
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting
Although Fourier analysis offers an alternative to effectively capture reusable and periodic patterns to achieve long-term forecasting in different scenarios, existing methods often assume high-frequency components represent noise and should be discarded in time series forecasting.
Learning Invariant Causal Mechanism from Vision-Language Models
Large-scale pre-trained vision-language models such as CLIP have been widely applied to a variety of downstream scenarios.
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning
In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improvement in functional abilities.
Landmark-Guided Cross-Speaker Lip Reading with Mutual Information Regularization
Lip reading, the process of interpreting silent speech from visual lip movements, has gained rising attention for its wide range of realistic applications.
Probing Script Knowledge from Pre-Trained Models
Script knowledge is critical for humans to understand the broad daily tasks and routine activities in the world.
Finite response time in stripe formation by bacteria with density-suppressed motility
We propose a model that includes a simplified regulatory dynamics of the tumbling frequency in individual cells to clarify the role of finite response time.
