research
∙
07/20/2023
Urban Radiance Field Representation with Deformable Neural Mesh Primitives
Neural Radiance Fields (NeRFs) have achieved great success in the past f...
share
research
∙
03/27/2023
NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
In recent years, there has been a significant increase in focus on the i...
research
∙
03/22/2023
Text with Knowledge Graph Augmented Transformer for Video Captioning
Video captioning aims to describe the content of videos using natural la...
research
∙
03/22/2023
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
Multi-agent collaborative perception (MCP) has recently attracted much a...
research
∙
03/21/2023
TMA: Temporal Motion Aggregation for Event-based Optical Flow
Event cameras have the ability to record continuous and detailed traject...
research
∙
03/13/2023
Modality-Agnostic Debiasing for Single Domain Generalization
Deep neural networks (DNNs) usually fail to generalize well to outside o...
research
∙
03/13/2023
Upcycling Models under Domain and Category Shift
Deep neural networks (DNNs) often perform poorly in the presence of doma...
research
∙
02/25/2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors
Deployment of reinforcement learning algorithms for robotics application...
research
∙
02/25/2023
SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving
Automatic underground parking has attracted considerable attention as th...
research
∙
07/07/2022
Dual-Stream Transformer for Generic Event Boundary Captioning
This paper describes our champion solution for the CVPR2022 Generic Even...
research
∙
04/18/2022
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
Massive false rumors emerging along with breaking news or trending topic...
research
∙
03/20/2022
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
Previous advances in object tracking mostly reported on favorable illumi...
research
∙
10/09/2021
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
Rumors are rampant in the era of social media. Conversation structures p...
research
∙
07/26/2021
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
Point cloud registration is a fundamental problem in 3D computer vision....
research
∙
05/27/2021
DMInet: An Accurate and Highly Flexible Deep Learning Framework for Drug Discovery with Membrane Selectivity
Drug membrane interaction is a very significant bioprocess to consider i...
research
∙
04/07/2021
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize action i...
research
∙
03/04/2021
Data Augmentation for Object Detection via Differentiable Neural Rendering
It is challenging to train a robust object detector when annotated data ...
research
∙
02/10/2021
NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting
Although Transformer has made breakthrough success in widespread domains...
research
∙
01/25/2021
Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection
The method of deep learning has achieved excellent results in improving ...
research
∙
01/22/2021
Gaussian Process-Based Model Predictive Control for Overtaking
This paper proposes a novel framework for addressing the challenge of au...
research
∙
12/18/2020
PointINet: Point Cloud Frame Interpolation Network
LiDAR point cloud streams are usually sparse in time dimension, which is...
research
∙
11/21/2020
MoNet: Motion-based Point Cloud Prediction Network
Predicting the future can significantly improve the safety of intelligen...
research
∙
11/16/2020
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
Online action detection is a task with the aim of identifying ongoing ac...
research
∙
10/23/2020
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Keypoint detector and descriptor are two main components of point cloud ...
research
∙
08/08/2020
PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
Efficiently modeling dynamic motion information in videos is crucial for...
research
∙
05/27/2020
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering
Pig counting is a crucial task for large-scale pig farming, which is usu...
research
∙
03/24/2020
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
We present a generalized and scalable method, called Gen-LaneNet, to det...
research
∙
03/10/2020
Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle
Building spiking neural networks (SNNs) based on biological synaptic pla...
research
∙
09/05/2019
Neuromorphic Visual Odometry System for Intelligent Vehicle Application with Bio-inspired Vision Sensor
The neuromorphic camera is a brand new vision sensor that has emerged in...
research
∙
04/29/2019
A New Method for Atlanta World Frame Estimation
In this paper, we propose a new Atlanta frame estimation method by consi...
research
∙
03/25/2019
A Novel Method for the Absolute Pose Problem with Pairwise Constraints
Absolute pose estimation is a fundamental problem in computer vision, an...
research
∙
12/23/2018
An Efficient L-Shape Fitting Method for Vehicle Pose Detection with 2D LiDAR
Detecting vehicles with strong robustness and high efficiency has become...
research
∙
12/23/2018
Self-Localization of Parking Robots Using Square-Like Landmarks
In this paper, we present a framework for self-localization of parking r...
research
∙
10/18/2018
Salience Biased Loss for Object Detection in Aerial Images
Object detection in remote sensing, especially in aerial images, remains...
research
∙
11/11/2015