research
∙
09/21/2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
For improving image composition and aesthetic quality, most existing met...
share
research
∙
09/19/2023
Rethinking Imitation-based Planner for Autonomous Driving
In recent years, imitation-based driving planners have reported consider...
research
∙
09/15/2023
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
Due to their highly structured characteristics, faces are easier to reco...
research
∙
08/31/2023
Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections
Unsignalized intersections are typically considered as one of the most r...
research
∙
08/29/2023
Efficient Ray Sampling for Radiance Fields Reconstruction
Accelerating neural radiance fields training is of substantial practical...
research
∙
08/19/2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
This study explores the application of self-supervised learning (SSL) to...
research
∙
07/30/2023
Recent Advances in Hierarchical Multi-label Text Classification: A Survey
Hierarchical multi-label text classification aims to classify the input ...
research
∙
07/26/2023
Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images
Compositional neural scene graph studies have shown that radiance fields...
research
∙
07/20/2023
Adaptive Control of Resource Flow to Optimize Construction Work and Cash Flow via Online Deep Reinforcement Learning
Due to complexity and dynamics of construction work, resource, and cash ...
research
∙
07/02/2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data
This paper addresses the ethical concerns arising from the use of unauth...
research
∙
06/29/2023
Exploring Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion
Sparse knowledge graph (KG) scenarios pose a challenge for previous Know...
research
∙
06/27/2023
Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?
For Pretrained Language Models (PLMs), their susceptibility to noise has...
research
∙
06/27/2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
Adversarial robustness, domain generalization and dataset biases are thr...
research
∙
05/24/2023
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models
Despite achieving remarkable performance on various vision-language task...
research
∙
05/22/2023
PALoc: Robust Prior-assisted Trajectory Generation for Benchmarking
Evaluating simultaneous localization and mapping (SLAM) algorithms neces...
research
∙
04/27/2023
Automatic Localization and Detection Applicable to Robust Image Watermarking Resisting against Camera Shooting
Robust image watermarking that can resist camera shooting has become an ...
research
∙
04/24/2023
D2NT: A High-Performing Depth-to-Normal Translator
Surface normal holds significant importance in visual environmental perc...
research
∙
04/21/2023
FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving
Predicting accurate depth with monocular images is important for low-cos...
research
∙
03/17/2023
LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution
The combination of LiDARs and cameras enables a mobile robot to perceive...
research
∙
01/11/2023
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information
Multi-agent path finding (MAPF) is the problem of moving agents to the g...
research
∙
12/08/2022
GreenEyes: An Air Quality Evaluating Model based on WaveNet
Accompanying rapid industrialization, humans are suffering from serious ...
research
∙
11/07/2022
BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations
This paper presents BigCilin, the first Chinese open-domain knowledge gr...
research
∙
10/30/2022
How Far are We from Robust Long Abstractive Summarization?
Abstractive summarization has made tremendous progress in recent years. ...
research
∙
10/28/2022
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia
Online encyclopedias, such as Wikipedia, have been well-developed and re...
research
∙
10/21/2022
DCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm
To execute collaborative tasks in unknown environments, a robotic swarm ...
research
∙
10/01/2022
FAST-LIO, Then Bayesian ICP, Then GTSFM
For the Hilti Challenge 2022, we created two systems, one building upon ...
research
∙
09/21/2022
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement
The graph structure of road networks is critical for downstream tasks of...
research
∙
09/19/2022
Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model
Safely interacting with other traffic participants is one of the core re...
research
∙
09/16/2022
V2HDM-Mono: A Framework of Building a Marking-Level HD Map with One or More Monocular Cameras
Marking-level high-definition maps (HD maps) are of great significance f...
research
∙
09/16/2022
CenterLineDet: Road Lane CenterLine Graph Detection With Vehicle-Mounted Sensors by Transformer for High-definition Map Creation
With the rapid development of autonomous vehicles, there witnesses a boo...
research
∙
09/05/2022
ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics
Robots are integrating more huge-size models to enrich functions and imp...
research
∙
08/25/2022
FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms
Combining multiple sensors enables a robot to maximize its perceptual aw...
research
∙
08/06/2022
Real-time Neural Dense Elevation Mapping for Urban Terrain with Uncertainty Estimations
Having good knowledge of terrain information is essential for improving ...
research
∙
07/21/2022
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration
Generative adversarial networks (GANs) have drawn enormous attention due...
research
∙
07/12/2022
Learning Diverse Tone Styles for Image Retouching
Image retouching, aiming to regenerate the visually pleasing renditions ...
research
∙
07/04/2022
VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion
Knowledge Graph Completion has been widely studied recently to complete ...
research
∙
07/04/2022
Open-world Semantic Segmentation for LIDAR Point Clouds
Current methods for LIDAR semantic segmentation are not robust enough fo...
research
∙
07/03/2022
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics
Long documents such as academic articles and business reports have been ...
research
∙
05/24/2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
As a national critical infrastructure, the smart grid has attracted wide...
research
∙
04/13/2022
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection
The same multi-word expressions may have different meanings in different...
research
∙
04/04/2022
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective
Recently, multiple synthetic and real-world datasets have been built to ...
research
∙
03/22/2022
Channel Self-Supervision for Online Knowledge Distillation
Recently, researchers have shown an increased interest in the online kno...
research
∙
02/17/2022
Kirin: A Quadruped Robot with High Payload Carrying Capability
The quadruped robot is a versatile mobile platform with potential abilit...
research
∙
02/16/2022
RNGDet: Road Network Graph Detection by Transformer in Aerial Images
Road network graphs provide critical information for autonomous vehicle ...
research
∙
01/10/2022
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition
Deep learning-based image retrieval techniques for the loop closure dete...
research
∙
12/16/2021
Distilled Dual-Encoder Model for Vision-Language Understanding
We propose a cross-modal attention distillation framework to train a dua...
research
∙
12/02/2021
Open-set 3D Object Detection
3D object detection has been wildly studied in recent years, especially ...
research
∙
12/02/2021
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency
Image resolution that has close relations with accuracy and computationa...
research
∙
11/11/2021
csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps
High-Definition (HD) maps can provide precise geometric and semantic inf...
research
∙
10/14/2021
