Search Results for author:
Found 14 papers, 3 papers with code
A Text-Based Knowledge-Embedded Soft Sensing Modeling Approach for General Industrial Process Tasks Based on Large Language Model
To address these challenges, we propose a general framework named LLM-TKESS (large language model for text-based knowledge-embedded soft sensing), harnessing the powerful general problem-solving capabilities, cross-modal knowledge transfer abilities, and few-shot capabilities of LLM for enhanced soft sensing modeling.
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval
To achieve this, we propose a novel framework called the Few-shot Uncertainty-aware and self-Explaining Soft Sensor (LLM-FUESS), which includes the Zero-shot Auxiliary Variable Selector (LLM-ZAVS) and the Uncertainty-aware Few-shot Soft Sensor (LLM-UFSS).
Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generation
Text-to-3D generation is a valuable technology in virtual reality and digital content creation.
Geometry-guided Cross-view Diffusion for One-to-many Cross-view Image Synthesis
This enables us to resolve the geometry ambiguity introduced by camera pose between image pairs, boosting the performance of cross-view image synthesis.
Audio-Driven Emotional 3D Talking-Head Generation
These landmarks are concatenated with emotional embeddings to produce emotional landmarks through our motion-to-emotion module.
Single Image, Any Face: Generalisable 3D Face Generation
To the best of our knowledge, this is the first attempt and benchmark for creating photorealistic 3D human face avatars from single images for generic human subject across domains.
Weyl Calculus and Exactly Solvable Schrödinger Bridges with Quadratic State Cost
We illustrate these ideas by explicitly finding the Markov kernel for the case of quadratic state cost via Weyl calculus, recovering our earlier results but avoiding tedious computation with Hermite polynomials.
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation
Human evaluation serves as the gold standard for assessing the quality of Natural Language Generation (NLG) systems.
Gaussian Splatting with Localized Points Management
To address these limitations, we propose a Localized Point Management (LPM) strategy, capable of identifying those error-contributing zones in the highest demand for both point addition and geometry calibration.
Schrödinger Bridge with Quadratic State Cost is Exactly Solvable
Unlike the conventional Schr\"{o}dinger bridge, the regularization induces a state-dependent rate of killing and creation of probability mass, and its solution requires determining the Markov kernel of a reaction-diffusion partial differential equation.
Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metric
Face aging has received continuous research attention over the past two decades.
Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation
Video-based scene graph generation (VidSGG) is an approach that aims to represent video content in a dynamic graph by identifying visual entities and their relationships.
Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learning
Specifically, DLL decouples the predicate labels and adopts separate classifiers to learn actional and spatial patterns respectively.
Ranked #1 on
Video scene graph generation
on ImageNet-VidVRD
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
Many deep learning models have been proposed to conduct clinical predictive tasks such as mortality prediction for COVID-19 patients in intensive care units using Electronic Health Record (EHR) data.
