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08/23/2023
Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
3D single object tracking with LiDAR points is an important task in the ...
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08/02/2023
Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search
Search query classification, as an effective way to understand user inte...
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06/30/2023
STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking
3D single object tracking with point clouds is a critical task in 3D com...
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05/16/2023
BERTTM: Leveraging Contextualized Word Embeddings from Pre-trained Language Models for Neural Topic Modeling
With the development of neural topic models in recent years, topic model...
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05/13/2023
EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss
Event cameras offer promising properties, such as high temporal resoluti...
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05/11/2023
Multi-modal Multi-level Fusion for 3D Single Object Tracking
3D single object tracking plays a crucial role in computer vision. Mains...
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04/11/2023
A Comprehensive Survey on Deep Graph Representation Learning
Graph representation learning aims to effectively encode high-dimensiona...
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04/04/2023
A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System
Human-in-the-loop topic modelling incorporates users' knowledge into the...
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11/22/2022
FE-Fusion-VPR: Attention-based Multi-Scale Network Architecture for Visual Place Recognition by Fusing Frames and Events
Traditional visual place recognition (VPR), usually using standard camer...
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10/02/2022
Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking
3D single object tracking is a key task in 3D computer vision. However, ...
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09/02/2022
Real-time 3D Single Object Tracking with Transformer
LiDAR-based 3D single object tracking is a challenging issue in robotics...
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06/29/2022
A New Adjacency Matrix Configuration in GCN-based Models for Skeleton-based Action Recognition
Human skeleton data has received increasing attention in action recognit...
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05/19/2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes
Many scenes in real life can be abstracted to the sparse reward visual s...
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05/06/2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
Building models to detect vaccine attitudes on social media is challengi...
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02/05/2022
Iota: A Framework for Analyzing System-Level Security of IoTs
Most IoT systems involve IoT devices, communication protocols, remote cl...
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10/28/2021
3D Object Tracking with Transformer
Feature fusion and similarity computation are two core problems in 3D ob...
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10/07/2021
Minimum Message Length Autoregressive Moving Average Model Order Selection
This paper derives a Minimum Message Length (MML) criterion for the mode...
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08/31/2021
GeodesicEmbedding (GE): A High-Dimensional Embedding Approach for Fast Geodesic Distance Queries
In this paper, we develop a novel method for fast geodesic distance quer...
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08/14/2021
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
3D single object tracking is a key issue for robotics. In this paper, we...
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08/12/2021
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud
3D single object tracking is a key issue for autonomous following robot,...
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08/01/2021
Implementing an Improved Test of Matrix Rank in Stata
We develop a Stata command, bootranktest, for implementing the matrix ra...
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07/26/2021
A Unifying Framework for Testing Shape Restrictions
This paper makes the following original contributions. First, we develop...
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06/24/2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Spatial-temporal forecasting has attracted tremendous attention in a wid...
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06/04/2021
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection
Non-Maximum Suppression (NMS) is essential for object detection and affe...
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05/28/2021
A Query-Driven Topic Model
Topic modeling is an unsupervised method for revealing the hidden semant...
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01/20/2021
Improved Signed Distance Function for 2D Real-time SLAM and Accurate Localization
Accurate mapping and localization are very important for many industrial...
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12/07/2020
TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint
To achieve robust motion estimation in visually degraded environments, t...
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11/30/2020
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting
Traffic flow forecasting is of great significance for improving the effi...
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11/06/2020
Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition
Traditional visual place recognition (VPR) methods generally use frame-b...
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09/06/2020
A Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments
In this paper, we propose a novel laser-inertial odometry and mapping me...
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07/11/2020
Deep Patch-based Human Segmentation
3D human segmentation has seen noticeable progress in re-cent years. It,...
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06/29/2020
IoTGaze: IoT Security Enforcement via Wireless Context Analysis
Internet of Things (IoT) has become the most promising technology for se...
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10/17/2019
A General Framework for Inference on Shape Restrictions
This paper presents a general and uniformly valid procedure for conducti...
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07/06/2019
Precision annealing Monte Carlo methods for statistical data assimilation and machine learning
In statistical data assimilation (SDA) and supervised machine learning (...
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06/25/2019
Refinements of the Kiefer-Wolfowitz Theorem and a Test of Concavity
This paper studies estimation of and inference on a distribution functio...
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03/25/2019
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image
Recovering 3D human body shape and pose from 2D images is a challenging ...
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02/12/2019
Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing
Tasking machine learning to predict segments of a time series requires e...
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02/01/2019
Joint Entity Linking with Deep Reinforcement Learning
Entity linking is the task of aligning mentions to corresponding entitie...
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01/15/2019
Inference on Functionals under First Order Degeneracy
This paper presents a unified second order asymptotic framework for cond...
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01/14/2019
Precision Annealing Monte Carlo Methods for Statistical Data Assimilation: Metropolis-Hastings Procedures
Statistical Data Assimilation (SDA) is the transfer of information from ...
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12/14/2018
Parallel and Scalable Heat Methods for Geodesic Distance Computation
In this paper, we propose a parallel and scalable approach for geodesic ...
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12/14/2018
Parallel and Scalable Heat Method
The heat method is a popular approach to computing geodesic distances on...
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12/06/2018
Improved Inference on the Rank of a Matrix
This paper develops a general framework for conducting inference on the ...
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11/08/2018
RGB-D SLAM in Dynamic Environments Using Points Correlations
This paper proposed a novel RGB-D SLAM method for dynamic environments. ...
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01/16/2017
Poisson Vector Graphics (PVG) and Its Closed-Form Solver
This paper presents Poisson vector graphics, an extension of the popular...
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10/15/2014