b'Tae-Kyun Kim'

research

∙ 09/09/2023

Deep Video Restoration for Under-Display Camera

Images or videos captured by the Under-Display Camera (UDC) suffer from ...

0 Xuanxi Chen, et al. ∙

research

∙ 07/27/2023

LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement

Current deep learning methods for low-light image enhancement (LLIE) typ...

0 PetsTime, et al. ∙

research

∙ 07/16/2023

FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow

Recent 4D shape representations model continuous temporal evolution of i...

0 Jihyun Lee, et al. ∙

research

∙ 05/29/2023

GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions

Image restoration in adverse weather conditions is a difficult task in c...

0 PetsTime, et al. ∙

research

∙ 05/10/2023

iEdit: Localised Text-guided Image Editing with Weak Supervision

Diffusion models (DMs) can generate realistic images with text guidance ...

0 Rumeysa Bodur, et al. ∙

research

∙ 04/26/2023

MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning

3D pose transfer is a challenging generation task that aims to transfer ...

0 Jiaze Sun, et al. ∙

research

∙ 04/03/2023

PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching

Estimating the pose of an unseen object is the goal of the challenging o...

0 Pedro Castro, et al. ∙

research

∙ 03/15/2023

Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses

Analyzing the dynamic changes of cellular morphology is important for un...

0 Junbong Jang, et al. ∙

research

∙ 02/28/2023

Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes

We present Implicit Two Hands (Im2Hands), the first neural implicit repr...

0 Jihyun Lee, et al. ∙

research

∙ 01/04/2023

MoBYv2AL: Self-supervised Active Learning for Image Classification

Active learning(AL) has recently gained popularity for deep learning(DL)...

17 Razvan Caramalau, et al. ∙

research

∙ 12/06/2022

Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty

Semi-supervised object detection (SSOD) aims to boost detection performa...

0 Honggyu Choi, et al. ∙

research

∙ 10/21/2022

CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers

Learning based 6D object pose estimation methods rely on computing large...

0 Pedro Castro, et al. ∙

research

∙ 03/29/2022

Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian

We propose a framework that can deform an object in a 2D image as it exi...

0 Jihyun Lee, et al. ∙

research

∙ 03/28/2022

Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division

Deep imitation learning requires many expert demonstrations, which can b...

0 Dafni Antotsiou, et al. ∙

research

∙ 12/08/2021

A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation

Editing facial expressions by only changing what we want is a long-stand...

3 Rumeysa Bodur, et al. ∙

research

∙ 11/24/2021

EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation

Event cameras sense per-pixel intensity changes and produce asynchronous...

2 Lin Wang, et al. ∙

research

∙ 11/17/2021

SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency

Semantically guided conditional Generative Adversarial Networks (cGANs) ...

1 Jiaze Sun, et al. ∙

research

∙ 06/07/2021

Visual Transformer for Task-aware Active Learning

Pool-based sampling in active learning (AL) represents a key framework f...

16 Razvan Caramalau, et al. ∙

research

∙ 05/12/2021

Label Geometry Aware Discriminator for Conditional Generative Networks

Multi-domain image-to-image translation with conditional Generative Adve...

23 Suman Sapkota, et al. ∙

research

∙ 05/05/2021

Learning Feature Aggregation for Deep 3D Morphable Models

3D morphable models are widely used for the shape representation of an o...

9 Zhixiang Chen, et al. ∙

research

∙ 04/08/2021

Geometry-based Distance Decomposition for Monocular 3D Object Detection

Monocular 3D object detection is of great significance for autonomous dr...

0 Xuepeng Shi, et al. ∙

research

∙ 03/25/2021

Adversarial Imitation Learning with Trajectorial Augmentation and Correction

Deep Imitation Learning requires a large number of expert demonstrations...

0 Dafni Antotsiou, et al. ∙

research

∙ 10/01/2020

Active Learning for Bayesian 3D Hand Pose Estimation

We propose a Bayesian approximation to a deep learning architecture for ...

59 Razvan Caramalau, et al. ∙

research

∙ 09/30/2020

3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning

Manipulating facial expressions is a challenging task due to fine-graine...

1 Rumeysa Bodur, et al. ∙

research

∙ 08/07/2020

Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning

Dexterous manipulation of objects in virtual environments with our bare ...

2 Guillermo Garcia-Hernando, et al. ∙

research

∙ 06/18/2020

Sequential Graph Convolutional Network for Active Learning

We propose a novel generic sequential Graph Convolution Network (GCN) tr...

26 Razvan Caramalau, et al. ∙

research

∙ 06/11/2020

MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network

We propose a novel self-supervised semi-supervised learning approach for...

17 Jiaze Sun, et al. ∙

research

∙ 03/30/2020

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

In this work, we study how well different type of approaches generalise ...

1 Anil Armagan, et al. ∙

research

∙ 03/27/2020

Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects

State-of-the-art methods for 6D object pose estimation typically train a...

0 Juil Sock, et al. ∙

research

∙ 03/23/2020

Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images

Endoscopy is a widely used imaging modality to diagnose and treat diseas...

2 Sharib Ali, et al. ∙

research

∙ 03/17/2020

EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning

Event cameras sense intensity changes and have many advantages over conv...

11 Lin Wang, et al. ∙

research

∙ 03/13/2020

Inducing Optimal Attribute Representations for Conditional GANs

Conditional GANs are widely used in translating an image from one catego...

6 Binod Bhattarai, et al. ∙

research

∙ 01/28/2020

A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators

Object pose recovery has gained increasing attention in the computer vis...

18 Caner Sahin, et al. ∙

research

∙ 10/23/2019

Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction

Current 6D object pose methods consist of deep CNN models fully optimize...

13 Pedro Castro, et al. ∙

research

∙ 10/19/2019

Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning

In this work, we explore how a strategic selection of camera movements c...

25 Juil Sock, et al. ∙

research

∙ 09/10/2019

Sampling Strategies for GAN Synthetic Data

Generative Adversarial Networks (GANs) have been used widely to generate...

9 Binod Bhattarai, et al. ∙

research

∙ 07/22/2019

Real-time Background-aware 3D Textureless Object Pose Estimation

In this work, we present a modified fuzzy decision forest for real-time ...

5 Mang Shao, et al. ∙

research

∙ 07/15/2019

AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification

Augmenting data in image space (eg. flipping, cropping etc) and activati...

1 Binod Bhattarai, et al. ∙

research

∙ 07/11/2019

Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning

Cooperative game is a critical research area in multi-agent reinforcemen...

1 Jianhong Wang, et al. ∙

research

∙ 07/11/2019

Shapley Q-value: A Local Reward Approach to Solve Global Reward Games

Cooperative game is a critical research area in multi-agent reinforcemen...

0 Jianhong Wang, et al. ∙

research

∙ 04/08/2019

Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering

Estimating 3D hand meshes from single RGB images is challenging, due to ...

6 Seungryul Baek, et al. ∙

research

∙ 03/11/2019

Instance- and Category-level 6D Object Pose Estimation

6D object pose estimation is an important task that determines the 3D po...

2 Caner Sahin, et al. ∙

research

∙ 11/18/2018

RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images

This paper proposes a method for hand pose estimation from RGB images th...

0 Shanxin Yuan, et al. ∙

research

∙ 10/25/2018

HANDS18: Methods, Techniques and Applications for Hand Observation

This report outlines the proceedings of the Fourth International Worksho...

0 Iason Oikonomidis, et al. ∙

research

∙ 10/09/2018

A Summary of the 4th International Workshop on Recovering 6D Object Pose

This document summarizes the 4th International Workshop on Recovering 6D...

12 Tomas Hodan, et al. ∙

research

∙ 10/03/2018

Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation

Human hand actions are quite complex, especially when they involve objec...

6 Dafni Antotsiou, et al. ∙

research

∙ 08/24/2018

BOP: Benchmark for 6D Object Pose Estimation

We propose a benchmark for 6D pose estimation of a rigid object from a s...

0 Tomas Hodan, et al. ∙

research

∙ 08/01/2018

Category-level 6D Object Pose Recovery in Depth Images

Intra-class variations, distribution shifts among source and target doma...

2 Caner Sahin, et al. ∙

research

∙ 06/11/2018

Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios

In bin-picking scenarios, multiple instances of an object of interest ar...

0 Juil Sock, et al. ∙

research

∙ 05/11/2018

Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation

Crucial to the success of training a depth-based 3D hand pose estimator ...

0 Seungryul Baek, et al. ∙

Tae-Kyun Kim

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