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09/20/2023
2D-3D Pose Tracking with Multi-View Constraints
Camera localization in 3D LiDAR maps has gained increasing attention due...
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08/11/2023
Generalizing Event-Based Motion Deblurring in Real-World Scenarios
Event-based motion deblurring has shown promising results by exploiting ...
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05/29/2023
BigTrans: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages
Large language models (LLMs) demonstrate promising translation performan...
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04/18/2023
Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Detecting arbitrarily oriented tiny objects poses intense challenges to ...
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04/14/2023
Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events
Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS)...
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04/05/2023
Recovering Continuous Scene Dynamics from A Single Blurry Image with Events
This paper aims at demystifying a single motion-blurred image with event...
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02/27/2023
Learning to Super-Resolve Blurry Images with Events
Super-Resolution from a single motion Blurred image (SRB) is a severely ...
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01/09/2023
High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark
In this paper, we introduce Planet-CR, a benchmark dataset for high-reso...
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12/06/2022
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds
Visual localization plays an important role for intelligent robots and a...
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12/05/2022
Learning to See Through with Events
Although synthetic aperture imaging (SAI) can achieve the seeing-through...
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11/14/2022
Detecting Line Segments in Motion-blurred Images with Events
Making line segment detectors more reliable under motion blurs is one of...
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08/18/2022
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection
Detecting tiny objects is one of the main obstacles hindering the develo...
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06/28/2022
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
Tiny object detection (TOD) in aerial images is challenging since a tiny...
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06/06/2022
Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery
The challenge of the cloud removal task can be alleviated with the aid o...
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04/28/2022
Learning to Extract Building Footprints from Off-Nadir Aerial Images
Extracting building footprints from aerial images is essential for preci...
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11/24/2021
Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks
There are good arguments to support the claim that feature representatio...
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11/22/2021
Graph-Based Similarity of Neural Network Representations
Understanding the black-box representations in Deep Neural Networks (DNN...
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11/18/2021
Lidar with Velocity: Motion Distortion Correction of Point Clouds from Oscillating Scanning Lidars
Lidar point cloud distortion from moving object is an important problem ...
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11/09/2021
An F-modulated stability framework for multistep methods
We introduce a new 𝐅-modulated energy stability framework for general li...
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10/26/2021
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
Detecting tiny objects is a very challenging problem since a tiny object...
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09/28/2021
Motion Deblurring with Real Events
In this paper, we propose an end-to-end learning framework for event-bas...
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09/24/2021
Toward Efficient and Robust Multiple Camera Visual-inertial Odometry
Efficiency and robustness are the essential criteria for the visual-iner...
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07/07/2021
A Survey of Uncertainty in Deep Neural Networks
Due to their increasing spread, confidence in neural network predictions...
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06/30/2021
On a sinc-type MBE model
We introduce a new sinc-type molecular beam epitaxy model which is deriv...
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06/16/2021
Sharp convergence to steady states of Allen-Cahn
In our recent work we found a surprising breakdown of symmetry conservat...
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06/15/2021
The BDF3/EP3 scheme for MBE with no slope selection is stable
We consider the classical molecular beam epitaxy (MBE) model with logari...
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06/12/2021
On a parabolic sine-Gordon model
We consider a parabolic sine-Gordon model with periodic boundary conditi...
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03/03/2021
Event-based Synthetic Aperture Imaging with a Hybrid Network
Synthetic aperture imaging (SAI) is able to achieve the see through effe...
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02/24/2021
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
In the past decade, object detection has achieved significant progress i...
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11/06/2020
ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras
Line segment detection is essential for high-level tasks in computer vis...
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10/12/2020
Asymmetric Siamese Networks for Semantic Change Detection
Given two multi-temporal aerial images, semantic change detection aims t...
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08/14/2020
Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor
Lane marker extraction is a basic yet necessary task for autonomous driv...
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07/16/2020
Event Enhanced High-Quality Image Recovery
With extremely high temporal resolution, event cameras have a large pote...
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07/13/2020
Implicit Euler ODE Networks for Single-Image Dehazing
Deep convolutional neural networks (CNN) have been applied for image deh...
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06/22/2020
DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation
The past decade has witnessed great progress on remote sensing (RS) imag...
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04/26/2020
A Point Cloud-Based Method for Automatic Groove Detection and Trajectory Generation of Robotic Arc Welding Tasks
In this paper, in order to pursue high-efficiency robotic arc welding ta...
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04/01/2020
Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
Light-weight camera localization in existing maps is essential for visio...
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03/07/2020
Semantic Change Pattern Analysis
Change detection is an important problem in vision field, especially for...
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03/02/2020
Matching Neuromorphic Events and Color Images via Adversarial Learning
The event camera has appealing properties: high dynamic range, low laten...
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11/23/2019
Line-based Camera Pose Estimation in Point Cloud of Structured Environments
Accurate registration of 2D imagery with point clouds is a key technolog...
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11/09/2018
Toward Autonomous Rotation-Aware Unmanned Aerial Grasping
Autonomous Unmanned Aerial Manipulators (UAMs) have shown promising pote...
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06/04/2018
Recent advances and opportunities in scene classification of aerial images with deep models
Scene classification is a fundamental task in interpretation of remote s...
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01/17/2015
