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09/12/2023
IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation
Domain generalized semantic segmentation (DGSS) is a critical yet challe...
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07/29/2023
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation
Most nighttime semantic segmentation studies are based on domain adaptat...
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07/04/2023
Augment Features Beyond Color for Domain Generalized Segmentation
Domain generalized semantic segmentation (DGSS) is an essential but high...
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05/24/2023
RoMa: Revisiting Robust Losses for Dense Feature Matching
Dense feature matching is an important computer vision task that involve...
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11/25/2022
Molecular Joint Representation Learning via Multi-modal Information
In recent years, artificial intelligence has played an important role on...
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11/20/2022
Learning Nonlinear Couplings in Network of Agents from a Single Sample Trajectory
We consider a class of stochastic dynamical networks whose governing dyn...
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11/14/2022
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning
Learning-based image dehazing methods are essential to assist autonomous...
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11/13/2022
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
Visual semantic segmentation aims at separating a visual sample into div...
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09/03/2022
Graph Fourier transforms on directed product graphs
Graph Fourier transform (GFT) is one of the fundamental tools in graph s...
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05/12/2022
Graph Fourier transform based on singular value decomposition of directed Laplacian
Graph Fourier transform (GFT) is a fundamental concept in graph signal p...
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05/09/2022
Wiener filters on graphs and distributed polynomial approximation algorithms
In this paper, we consider Wiener filters to reconstruct deterministic a...
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03/26/2022
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning
The ability to perform aggressive movements, which are called aggressive...
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03/26/2022
Learn to Adapt for Monocular Depth Estimation
Monocular depth estimation is one of the fundamental tasks in environmen...
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12/03/2021
A Divide-and-Conquer Algorithm for Distributed Optimization on Networks
In this paper, we consider networks with topologies described by some co...
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07/28/2021
Unsupervised Monocular Depth Estimation in Highly Complex Environments
Previous unsupervised monocular depth estimation methods mainly focus on...
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12/26/2020
Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval
Separable multi-block convex optimization problem appears in many mathem...
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11/29/2020
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency
Semantic segmentation and depth completion are two challenging tasks in ...
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11/23/2020
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
Eigenvectors of matrices on a network have been used for understanding s...
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07/22/2020
Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks
Graph filters and their inverses have been widely used in denoising, smo...
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06/17/2020
Random sampling and reconstruction of concentrated signals in a reproducing kernel space
In this paper, we consider (random) sampling of signals concentrated on ...
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04/09/2020
Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency
Previous works have shown that adversarial learning can be used for unsu...
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03/29/2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
With widespread applications of artificial intelligence (AI), the capabi...
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03/24/2020
Polynomial graph filter of multiple shifts and distributed implementation of inverse filtering
Polynomial graph filters and their inverses play important roles in grap...
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03/14/2020
Monocular Depth Estimation Based On Deep Learning: An Overview
Depth information is important for autonomous systems to perceive enviro...
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01/08/2020
Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview
The ability of inferring its own ego-motion, autonomous understanding th...
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12/11/2019
Deep Direct Visual Odometry
Monocular direct visual odometry (DVO) relies heavily on high-quality im...
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09/04/2019
Phase retrieval of complex and vector-valued functions
The phase retrieval problem in the classical setting is to reconstruct r...
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01/17/2018
