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Found 13 papers, 2 papers with code
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
We introduce pixelSplat, a feed-forward model that learns to reconstruct 3D radiance fields parameterized by 3D Gaussian primitives from pairs of images.
Ranked #2 on
Generalizable Novel View Synthesis
on ACID
Dynamic Fault Characteristics Evaluation in Power Grid
To enhance the intelligence degree in operation and maintenance, a novel method for fault detection in power grids is proposed.
Dynamic Fault Analysis in Substations Based on Knowledge Graphs
To address the challenge of identifying hidden danger in substations from unstructured text, a novel dynamic analysis method is proposed.
Knowledge Graph Construction in Power Distribution Networks
In this paper, we propose a method for knowledge graph construction in power distribution networks.
Robust Learning Based Condition Diagnosis Method for Distribution Network Switchgear
This paper introduces a robust, learning-based method for diagnosing the state of distribution network switchgear, which is crucial for maintaining the power quality for end users.
High-resolution power equipment recognition based on improved self-attention
The current trend of automating inspections at substations has sparked a surge in interest in the field of transformer image recognition.
Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination
The process begins with histogram equalization to enhance the original image, followed by the use of Mask RCNN to identify the preliminary positions and outlines of oil tanks, the ground, and areas of potential oil contamination.
Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation
Overhead line inspection greatly benefits from defect recognition using visible light imagery.
Transmission line condition prediction based on semi-supervised learning
Transmission line state assessment and prediction are of great significance for the rational formulation of operation and maintenance strategy and improvement of operation and maintenance level.
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
Reinforcement learning approaches for dexterous rigid object manipulation would struggle in this setting due to the complexity of physics interaction with deformable objects.
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Extensive experimental results suggest that: 1) on multi-stage tasks that are infeasible for the vanilla differentiable physics solver, our approach discovers contact points that efficiently guide the solver to completion; 2) on tasks where the vanilla solver performs sub-optimally or near-optimally, our contact point discovery method performs better than or on par with the manipulation performance obtained with handcrafted contact points.
Space-Time Memory Network for Sounding Object Localization in Videos
Leveraging temporal synchronization and association within sight and sound is an essential step towards robust localization of sounding objects.
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
This technical report summarizes submissions and compiles from Actor-Action video classification challenge held as a final project in CSC 249/449 Machine Vision course (Spring 2020) at University of Rochester
