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09/05/2023
NICE 2023 Zero-shot Image Captioning Challenge
In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...
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08/19/2023
Disposable Transfer Learning for Selective Source Task Unlearning
Transfer learning is widely used for training deep neural networks (DNN)...
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08/05/2023
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models
This work focuses on the problem of reconstructing a 3D human body mesh ...
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07/20/2023
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
Recent advances in deep learning have significantly improved the perform...
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07/18/2023
DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation
Mixed sample data augmentation (MSDA) is a widely used technique that ha...
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07/02/2023
Deep Cross-Modal Steganography Using Neural Representations
Steganography is the process of embedding secret data into another messa...
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06/30/2023
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view
From an image of a person, we can easily infer the natural 3D pose and s...
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06/09/2023
Lightweight Monocular Depth Estimation via Token-Sharing Transformer
Depth estimation is an important task in various robotics systems and ap...
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05/30/2023
Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization
Portrait stylization, which translates a real human face image into an a...
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05/03/2023
Localization using Multi-Focal Spatial Attention for Masked Face Recognition
Since the beginning of world-wide COVID-19 pandemic, facial masks have b...
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04/10/2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks
Model inversion attacks are a type of privacy attack that reconstructs p...
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01/16/2023
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images
Light field (LF) camera captures rich information from a scene. Using th...
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12/01/2022
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
As the size of the dataset used in deep learning tasks increases, the no...
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12/01/2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification
Uncertainty estimation of the trained deep learning network provides imp...
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11/29/2022
Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning
Generally, regularization-based continual learning models limit access t...
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11/20/2022
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
We present a novel adversarial penalized self-knowledge distillation met...
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09/27/2022
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
Pre-training vision-language models with contrastive objectives has show...
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08/17/2022
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
Pre-trained representation is one of the key elements in the success of ...
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07/27/2022
Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks
Non-local (NL) block is a popular module that demonstrates the capabilit...
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07/16/2022
Stochastic Attribute Modeling for Face Super-Resolution
When a high-resolution (HR) image is degraded into a low-resolution (LR)...
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05/23/2022
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation
Despite its importance, unsupervised domain adaptation (UDA) on LiDAR se...
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04/29/2022
Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN
Transfer learning of StyleGAN has recently shown great potential to solv...
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04/08/2022
Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning
Recent self-supervised video representation learning methods focus on ma...
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02/04/2022
Projection-based Point Convolution for Efficient Point Cloud Segmentation
Understanding point cloud has recently gained huge interests following t...
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01/19/2022
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
Depth estimation from a single image is an important task that can be ap...
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12/09/2021
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning
With the development of 3D scanning technologies, 3D vision tasks have b...
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11/30/2021
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
Existing 3D human pose estimation algorithms trained on distortion-free ...
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09/20/2021
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
Recent weakly-supervised semantic segmentation (WSSS) has made remarkabl...
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08/24/2021
Improving Generalization of Batch Whitening by Convolutional Unit Optimization
Batch Whitening is a technique that accelerates and stabilizes training ...
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04/23/2021
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
We present a new approach for oriented object detection, an anchor-free ...
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04/14/2021
Joint Negative and Positive Learning for Noisy Labels
Training of Convolutional Neural Networks (CNNs) with data with noisy la...
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03/05/2021
Extending Contrastive Learning to Unsupervised Coreset Selection
Self-supervised contrastive learning offers a means of learning informat...
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11/05/2020
Deep Active Learning with Augmentation-based Consistency Estimation
In active learning, the focus is mainly on the selection strategy of unl...
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11/02/2020
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation
Following considerable development in 3D scanning technologies, many stu...
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11/02/2020
Highway Driving Dataset for Semantic Video Segmentation
Scene understanding is an essential technique in semantic segmentation. ...
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10/29/2020
Collaborative Method for Incremental Learning on Classification and Generation
Although well-trained deep neural networks have shown remarkable perform...
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09/04/2020
TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator
Advances in technology have led to the development of methods that can c...
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04/16/2020
Continual Learning with Extended Kronecker-factored Approximate Curvature
We propose a quadratic penalty method for continual learning of neural n...
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02/17/2020
Residual Continual Learning
We propose a novel continual learning method called Residual Continual L...
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12/15/2019
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
In this paper, we propose a Generative Translation Classification Networ...
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12/04/2019
Adjusting Decision Boundary for Class Imbalanced Learning
Training of deep neural networks heavily depends on the data distributio...
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12/03/2019
EDAS: Efficient and Differentiable Architecture Search
Transferrable neural architecture search can be viewed as a binary optim...
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09/26/2019
Balancing Domain Gap for Object Instance Detection
Object instance detection in cluttered indoor environment is a core func...
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08/19/2019
NLNL: Negative Learning for Noisy Labels
Convolutional Neural Networks (CNNs) provide excellent performance when ...
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07/23/2019
RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation
We introduce Repetition-Reduction network (RRNet) for resource-constrain...
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12/26/2018
Learning Not to Learn: Training Deep Neural Networks with Biased Data
We propose a novel regularization algorithm to train deep neural network...
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11/11/2018
Integrating Multiple Receptive Fields through Grouped Active Convolution
Convolutional networks have achieved great success in various vision tas...
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04/20/2018
Generating a Fusion Image: One's Identity and Another's Shape
Generating a novel image by manipulating two input images is an interest...
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11/16/2017
Less-forgetful Learning for Domain Expansion in Deep Neural Networks
Expanding the domain that deep neural network has already learned withou...
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09/12/2017
