
-
Multi-Modality Cut and Paste for 3D Object Detection
Three-dimensional (3D) object detection is essential in autonomous drivi...
read it
-
A Multi-intersection Vehicular Cooperative Control based on End-Edge-Cloud Computing
Cooperative Intelligent Transportation Systems (C-ITS) will change the m...
read it
-
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving
The strong demand of autonomous driving in the industry has lead to stro...
read it
-
FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds
Recent years have witnessed the rapid progress of perception algorithms ...
read it
-
Game Plan: What AI can do for Football, and What Football can do for AI
The rapid progress in artificial intelligence (AI) and machine learning ...
read it
-
Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications
Reinforcement Learning (RL) is widely utilized in the field of robotics,...
read it
-
Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle
Propulsion system electrification revolution has been undergoing in the ...
read it
-
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results
The detection of thoracic abnormalities challenge is organized by the De...
read it
-
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
To the best of our knowledge, the existing deep-learning-based Video Sup...
read it
-
Spectral Algorithms for Community Detection in Directed Networks
Community detection in large social networks is affected by degree heter...
read it
-
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
State-of-the-art methods for large-scale driving-scene LiDAR semantic se...
read it
-
COLD: Towards the Next Generation of Pre-Ranking System
Multi-stage cascade architecture exists widely in many industrial system...
read it
-
Weak Supervision and Referring Attention for Temporal-Textual Association Learning
A system capturing the association between video frames and textual quer...
read it
-
Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization
Min-max optimization captures many important machine learning problems s...
read it
-
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
Due to its simplicity and outstanding ability to generalize, stochastic ...
read it
-
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
Adaptive gradient methods have attracted much attention of machine learn...
read it
-
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction
Rich user behavior data has been proven to be of great value for click-t...
read it
-
Resisting the Distracting-factors in Pedestrian Detection
Pedestrian detection has been heavily studied in the last decade due to ...
read it
-
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
Person search by natural language aims at retrieving a specific person i...
read it
-
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms
As an important type of reinforcement learning algorithms, actor-critic ...
read it
-
Improving Sample Complexity Bounds for Actor-Critic Algorithms
The actor-critic (AC) algorithm is a popular method to find an optimal p...
read it
-
Differential Network Learning Beyond Data Samples
Learning the change of statistical dependencies between random variables...
read it
-
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows
In order to achieve near-time insights, scientific workflows tend to be ...
read it
-
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak
Since December 2019, the coronavirus disease 2019 (COVID-19) has spread ...
read it
-
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
In this paper, we attempt to solve the domain adaptation problem for dee...
read it
-
Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation
Monocular estimation of 3d human pose has attracted increased attention ...
read it
-
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
Various types of parameter restart schemes have been proposed for accele...
read it
-
Hierarchical Transformer Network for Utterance-level Emotion Recognition
While there have been significant advances in de-tecting emotions in tex...
read it
-
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
3D vehicle detection based on point cloud is a challenging task in real-...
read it
-
Reanalysis of Variance Reduced Temporal Difference Learning
Temporal difference (TD) learning is a popular algorithm for policy eval...
read it
-
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
We present a novel and high-performance 3D object detection framework, n...
read it
-
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
3D object detection from a single image without LiDAR is a challenging t...
read it
-
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
A major challenge for video semantic segmentation is the lack of labeled...
read it
-
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
Two types of zeroth-order stochastic algorithms have recently been desig...
read it
-
Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation
Various schemes for adapting batch size have been recently proposed to a...
read it
-
RiWalk: Fast Structural Node Embedding via Role Identification
Nodes performing different functions in a network have different roles, ...
read it
-
A Generalized Training Approach for Multiagent Learning
This paper investigates a population-based training regime based on game...
read it
-
Variable Population Memetic Search: A Case Study on the Critical Node Problem
Population-based memetic algorithms have been successfully applied to so...
read it
-
Robust Multi-Modality Multi-Object Tracking
Multi-sensor perception is crucial to ensure the reliability and accurac...
read it
-
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images
In this paper, we propose an end-to-end deep neural network for solving ...
read it
-
Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud
In this paper, we propose the part-aware and aggregation neural network ...
read it
-
Model-free posterior inference on the area under the receiver operating characteristic curve
The area under the receiver operating characteristic curve (AUC) serves ...
read it
-
Geometric Pose Affordance: 3D Human Pose with Scene Constraints
Full 3D estimation of human pose from a single image remains a challengi...
read it
-
Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization
Two new stochastic variance-reduced algorithms named SARAH and SPIDER ha...
read it
-
Improving Model Robustness with Transformation-Invariant Attacks
Vulnerability of neural networks under adversarial attacks has raised se...
read it
-
A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes
Constructing of molecular structural models from Cryo-Electron Microscop...
read it
-
Adaptive Deployment for UAV-Aided Communication Networks
Unmanned aerial vehicle (UAV) as an aerial base station is a promising t...
read it
-
Training Multi-Task Adversarial Network For Extracting Noise-Robust Speaker Embedding
Under noisy environments, to achieve the robust performance of speaker r...
read it
-
SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization
There has been extensive research on developing stochastic variance redu...
read it
-
Cubic Regularization with Momentum for Nonconvex Optimization
Momentum is a popular technique to accelerate the convergence in practic...
read it