Search Results for author:
Found 11 papers, 5 papers with code
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
The transition to intelligent, low-carbon power systems necessitates advanced optimization strategies for managing renewable energy integration, energy storage, and carbon emissions.
From Sparse to Dense: Camera Relocalization with Scene-Specific Detector from Feature Gaussian Splatting
Furthermore, based on the initial localization results, we align the query feature map to the Gaussian feature field by dense feature matching to enable accurate localization.
Environment-Driven Online LiDAR-Camera Extrinsic Calibration
LiDAR-camera extrinsic calibration (LCEC) is the core for data fusion in computer vision.
VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding
3D visual grounding is crucial for robots, requiring integration of natural language and 3D scene understanding.
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
Further more, we have demonstrated the potential of our method for more general QA tasks, QA over mixed structured data and QA across structured data.
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
In this paper, we propose a novel graph-level automatic KG completion task called Triple Set Prediction (TSP) which assumes none of the elements in the missing triples is given.
Online,Target-Free LiDAR-Camera Extrinsic Calibration via Cross-Modal Mask Matching
The cornerstone of our framework and toolbox is the cross-modal mask matching (C3M) algorithm, developed based on a state-of-the-art (SoTA) LVM and capable of generating sufficient and reliable matches.
Weaver: Foundation Models for Creative Writing
Weaver is pre-trained on a carefully selected corpus that focuses on improving the writing capabilities of large language models.
Reliable Academic Conference Question Answering: A Study Based on Large Language Model
Specifically, for each conference, we first organize academic conference data in a tree-structured format through a semi-automated method.
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions.
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning
Since the dynamic characteristics of knowledge graphs, many inductive knowledge graph representation learning (KGRL) works have been proposed in recent years, focusing on enabling prediction over new entities.
