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09/21/2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
For improving image composition and aesthetic quality, most existing met...
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09/19/2023
Rethinking Imitation-based Planner for Autonomous Driving
In recent years, imitation-based driving planners have reported consider...
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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...
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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...
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08/29/2023
Efficient Ray Sampling for Radiance Fields Reconstruction
Accelerating neural radiance fields training is of substantial practical...
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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...
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07/30/2023
Recent Advances in Hierarchical Multi-label Text Classification: A Survey
Hierarchical multi-label text classification aims to classify the input ...
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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...
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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 ...
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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...
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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...
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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...
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06/27/2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
Adversarial robustness, domain generalization and dataset biases are thr...
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05/24/2023
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models
Despite achieving remarkable performance on various vision-language task...
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05/22/2023
PALoc: Robust Prior-assisted Trajectory Generation for Benchmarking
Evaluating simultaneous localization and mapping (SLAM) algorithms neces...
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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 ...
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04/24/2023
D2NT: A High-Performing Depth-to-Normal Translator
Surface normal holds significant importance in visual environmental perc...
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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...
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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...
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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...
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12/08/2022
GreenEyes: An Air Quality Evaluating Model based on WaveNet
Accompanying rapid industrialization, humans are suffering from serious ...
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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...
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10/30/2022
How Far are We from Robust Long Abstractive Summarization?
Abstractive summarization has made tremendous progress in recent years. ...
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10/28/2022
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia
Online encyclopedias, such as Wikipedia, have been well-developed and re...
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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 ...
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10/01/2022
FAST-LIO, Then Bayesian ICP, Then GTSFM
For the Hilti Challenge 2022, we created two systems, one building upon ...
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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...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...
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07/12/2022
Learning Diverse Tone Styles for Image Retouching
Image retouching, aiming to regenerate the visually pleasing renditions ...
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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 ...
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07/04/2022
Open-world Semantic Segmentation for LIDAR Point Clouds
Current methods for LIDAR semantic segmentation are not robust enough fo...
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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 ...
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05/24/2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
As a national critical infrastructure, the smart grid has attracted wide...
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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...
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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 ...
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03/22/2022
Channel Self-Supervision for Online Knowledge Distillation
Recently, researchers have shown an increased interest in the online kno...
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02/17/2022
Kirin: A Quadruped Robot with High Payload Carrying Capability
The quadruped robot is a versatile mobile platform with potential abilit...
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02/16/2022
RNGDet: Road Network Graph Detection by Transformer in Aerial Images
Road network graphs provide critical information for autonomous vehicle ...
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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...
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12/16/2021
Distilled Dual-Encoder Model for Vision-Language Understanding
We propose a cross-modal attention distillation framework to train a dua...
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12/02/2021
Open-set 3D Object Detection
3D object detection has been wildly studied in recent years, especially ...
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12/02/2021
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency
Image resolution that has close relations with accuracy and computationa...
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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...
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10/14/2021