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07/06/2023
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
Recent studies on visual anomaly detection (AD) of industrial objects/te...
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07/06/2023
Contextual Affinity Distillation for Image Anomaly Detection
Previous works on unsupervised industrial anomaly detection mainly focus...
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07/06/2023
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution
Smartphones equipped with a multi-camera system comprising multiple came...
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07/06/2023
Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image
Despite the recent advancement in the study of removing motion blur in a...
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02/18/2023
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering
In this paper, a bridge member damage cause estimation framework is prop...
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12/23/2022
SuperGF: Unifying Local and Global Features for Visual Localization
Advanced visual localization techniques encompass image retrieval challe...
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07/20/2022
More Practical Scenario of Open-set Object Detection: Open at Category Level and Closed at Super-category Level
Open-set object detection (OSOD) has recently attracted considerable att...
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07/20/2022
GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features
Current state-of-the-art methods for image captioning employ region-base...
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07/07/2022
Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation
In this paper, we consider the problem in defocus image deblurring. Prev...
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07/06/2022
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging
Reconstructing ghosting-free high dynamic range (HDR) images of dynamic ...
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06/30/2022
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Unsupervised domain adaptation (UDA) adapts a model trained on one domai...
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12/17/2021
Symmetry-aware Neural Architecture for Embodied Visual Navigation
Visual exploration is a task that seeks to visit all the navigable areas...
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09/14/2021
Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features
This study is concerned with few-shot segmentation, i.e., segmenting the...
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09/14/2021
Cross-Region Domain Adaptation for Class-level Alignment
Semantic segmentation requires a lot of training data, which necessitate...
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09/08/2021
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes
This paper considers matching images of low-light scenes, aiming to wide...
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08/19/2021
Progressive and Selective Fusion Network for High Dynamic Range Imaging
This paper considers the problem of generating an HDR image of a scene f...
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06/01/2021
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
There is a growing interest in the community in making an embodied AI ag...
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01/09/2021
Pushing the Envelope of Thin Crack Detection
In this study, we consider the problem of detecting cracks from the imag...
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01/07/2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability
This paper proposes a method for OOD detection. Questioning the premise ...
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01/07/2021
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification
We reconsider the evaluation of OOD detection methods for image recognit...
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05/07/2020
How Can CNNs Use Image Position for Segmentation?
Convolution is an equivariant operation, and image position does not aff...
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11/26/2019
Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog
It has been a primary concern in recent studies of vision and language t...
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11/20/2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method
In this paper, we consider adversarial attacks against a system of monoc...
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10/21/2019
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors
The employment of convolutional neural networks has led to significant p...
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07/10/2019
Joint Learning of Multiple Image Restoration Tasks
Convolutional neural networks have recently been successfully applied to...
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05/30/2019
Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences
Owing to the advancement of deep learning, artificial systems are now ri...
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05/25/2019
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
The ability of detecting out-of-distribution (OOD) samples is important ...
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05/14/2019
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
We address a problem of estimating pose of a person's head from its RGB ...
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04/06/2019
Visualization of Convolutional Neural Networks for Monocular Depth Estimation
Recently, convolutional neural networks (CNNs) have shown great success ...
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03/21/2019
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
In this paper, we study design of deep neural networks for tasks of imag...
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01/15/2019
Toward Explainable Fashion Recommendation
Many studies have been conducted so far to build systems for recommendin...
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12/03/2018
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
Many studies have been conducted so far on image restoration, the proble...
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12/03/2018
Multi-task Learning of Hierarchical Vision-Language Representation
It is still challenging to build an AI system that can perform tasks tha...
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04/26/2018
Recommending Outfits from Personal Closet
We consider grading a fashion outfit for recommendation, where we assume...
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04/03/2018
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
A key solution to visual question answering (VQA) exists in how to fuse ...
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03/23/2018
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries
We revisit the problem of estimating depth of a scene from its single RG...
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03/01/2018
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
Researchers have applied deep neural networks to image restoration tasks...
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01/24/2018
Deep Structured Energy-Based Image Inpainting
In this paper, we propose a structured image inpainting method employing...
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12/12/2017
A vision based system for underwater docking
Autonomous underwater vehicles (AUVs) have been deployed for underwater ...
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11/06/2017
HyperNetworks with statistical filtering for defending adversarial examples
Deep learning algorithms have been known to be vulnerable to adversarial...
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08/06/2017
End-to-end learning potentials for structured attribute prediction
We present a structured inference approach in deep neural networks for m...
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07/25/2017
Linear Discriminant Generative Adversarial Networks
We develop a novel method for training of GANs for unsupervised and clas...
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07/25/2017
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs
In this work, we address the problem of improvement of robustness of fea...
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06/14/2017
Information Potential Auto-Encoders
In this paper, we suggest a framework to make use of mutual information ...
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04/03/2017
Truncating Wide Networks using Binary Tree Architectures
Recent study shows that a wide deep network can obtain accuracy comparab...
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01/22/2017
Optimization on Product Submanifolds of Convolution Kernels
Recent advances in optimization methods used for training convolutional ...
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11/16/2016
Self-calibration-based Approach to Critical Motion Sequences of Rolling-shutter Structure from Motion
In this paper we consider critical motion sequences (CMSs) of rolling-sh...
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10/22/2016
Optimization on Submanifolds of Convolution Kernels in CNNs
Kernel normalization methods have been employed to improve robustness of...
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07/25/2016
Automatic Attribute Discovery with Neural Activations
How can a machine learn to recognize visual attributes emerging out of o...
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11/30/2015