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09/03/2023
Business Process Text Sketch Automation Generation Using Large Language Model
Business Process Management (BPM) is gaining increasing attention as it ...
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04/13/2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Large pre-trained models, also known as foundation models (FMs), are tra...
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04/12/2023
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
Inverse path tracing has recently been applied to joint material and lig...
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04/10/2023
EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System
Over the past decade, the electric vehicle industry has experienced unpr...
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01/29/2023
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
Most existing methods to detect backdoored machine learning (ML) models ...
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12/09/2022
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
In this paper, we present a simple yet surprisingly effective technique ...
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11/21/2022
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback
An important goal in artificial intelligence is to create agents that ca...
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10/12/2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection
With extensive studies on backdoor attack and detection, still fundament...
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09/29/2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Neural network representation learning for spatial data is a common need...
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07/02/2022
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes
Most indoor 3D scene reconstruction methods focus on recovering 3D geome...
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06/16/2022
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes
Indoor scenes exhibit significant appearance variations due to myriad in...
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05/19/2022
Physically-Based Editing of Indoor Scene Lighting from a Single Image
We present a method to edit complex indoor lighting from a single image ...
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12/07/2021
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
A common vision from science fiction is that robots will one day inhabit...
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12/02/2021
Narrative Cartography with Knowledge Graphs
Narrative cartography is a discipline which studies the interwoven natur...
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11/12/2021
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
Almost all statements in knowledge bases have a temporal scope during wh...
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11/07/2021
A Review of Location Encoding for GeoAI: Methods and Applications
A common need for artificial intelligence models in the broader geoscien...
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08/06/2021
Improving Contrastive Learning by Visualizing Feature Transformation
Contrastive learning, which aims at minimizing the distance between posi...
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07/08/2021
First-Generation Inference Accelerator Deployment at Facebook
In this paper, we provide a deep dive into the deployment of inference a...
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05/19/2021
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions
As an important part of Artificial Intelligence (AI), Question Answering...
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05/10/2021
Boosting Semi-Supervised Face Recognition with Noise Robustness
Although deep face recognition benefits significantly from large-scale t...
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04/27/2021
Robust Classification via Support Vector Machines
The loss function choice for any Support Vector Machine classifier has r...
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12/10/2020
Imitating Interactive Intelligence
A common vision from science fiction is that robots will one day inhabit...
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07/29/2020
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints
Estimating relative camera poses from consecutive frames is a fundamenta...
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07/14/2020
Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations
The number of linear regions is one of the distinct properties of the ne...
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04/25/2020
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
Learning knowledge graph (KG) embeddings is an emerging technique for a ...
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03/14/2020
Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online
Many geoportals such as ArcGIS Online are established with the goal of i...
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02/16/2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Unsupervised text encoding models have recently fueled substantial progr...
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01/11/2020
Bayesian Semi-supervised learning under nonparanormality
Semi-supervised learning is a classification method which makes use of b...
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12/05/2019
3D Objectness Estimation via Bottom-up Regret Grouping
3D objectness estimation, namely discovering semantic objects from 3D sc...
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10/01/2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Link prediction is an important and frequently studied task that contrib...
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09/30/2019
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
Recently, several studies have explored methods for using KG embedding t...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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03/14/2019
Constrained Mutual Convex Cone Method for Image Set Based Recognition
In this paper, we propose a method for image-set classification based on...
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01/20/2019
Improved Selective Refinement Network for Face Detection
As a long-standing problem in computer vision, face detection has attrac...
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12/20/2018
SFA: Small Faces Attention Face Detector
In recent year, tremendous strides have been made in face detection than...
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11/29/2018
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Autonomous driving has attracted remarkable attention from both industry...
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10/19/2018
A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems
Large models are prevalent in modern machine learning scenarios, includi...
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10/19/2018
ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch
Current state-of-the-art object objectors are fine-tuned from the off-th...
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09/29/2018
Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures
The formal theoretical analysis on channel correlations in both real ind...
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06/13/2018
Android Malware Detection using Large-scale Network Representation Learning
With the growth of mobile devices and applications, the number of malici...
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05/30/2018
Android Malware Detection based on Factorization Machine
With the increasing popularity of Android smart phones in recent years, ...
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03/18/2018
Bayesian ROC surface estimation under verification bias
The Receiver Operating Characteristic (ROC) surface is a generalization ...
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02/24/2018
A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization
Many machine learning models, including those with non-smooth regularize...
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02/24/2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
We study stochastic algorithms for solving non-convex optimization probl...
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12/01/2017
Learning Depth from Monocular Videos using Direct Methods
The ability to predict depth from a single image - using recent advances...
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11/30/2017
Semantic Photometric Bundle Adjustment on Natural Sequences
The problem of obtaining dense reconstruction of an object in a natural ...
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11/04/2017
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior
Reconstructing 3D shapes from a sequence of images has long been a probl...
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07/15/2017
Rethinking Reprojection: Closing the Loop for Pose-aware ShapeReconstruction from a Single Image
An emerging problem in computer vision is the reconstruction of 3D shape...
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06/07/2016
Expectile Matrix Factorization for Skewed Data Analysis
Matrix factorization is a popular approach to solving matrix estimation ...
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03/29/2016