b'Tae-Kyun Kim'

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...

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...

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) ...

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...

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...

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...

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...

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...

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 ...

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...

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 ...

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...

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...

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 ...

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...

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...

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...

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...

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...

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...

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...

Juil Sock, et al. ∙

research

∙ 09/10/2019

Sampling Strategies for GAN Synthetic Data

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

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 ...

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...

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...

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...

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 ...

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...

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...

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...

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...

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...

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...

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...

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...

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 ...

Seungryul Baek, et al. ∙

research

∙ 04/10/2018

Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

We propose a novel end-to-end semi-supervised adversarial framework to g...

Baris Gecer, et al. ∙

research

∙ 12/11/2017

3D Hand Pose Estimation: From Current Achievements to Future Goals

In this paper, we strive to answer two questions: What is the current st...

Shanxin Yuan, et al. ∙

research

∙ 11/29/2017

Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network

Hand pose estimation is to predict the pose parameters representing a 3D...

Qi Ye, et al. ∙

research

∙ 08/01/2017

Learning Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-based Supervision

In this work, we investigate several methods and strategies to learn dee...

Baris Gecer, et al. ∙

research

∙ 07/07/2017

The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation

We present the 2017 Hands in the Million Challenge, a public competition...

Shanxin Yuan, et al. ∙

research

∙ 06/10/2017

Recovering 6D Object Pose: Multi-modal Analyses on Challenges

A large number of studies analyse object detection and pose estimation a...

Caner Sahin, et al. ∙

research

∙ 06/06/2017

Deep Convolutional Decision Jungle for Image Classification

We propose a novel method called deep convolutional decision jungle (CDJ...

Seungryul Baek, et al. ∙

research

∙ 04/09/2017

BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis

In this paper we introduce a large-scale hand pose dataset, collected us...

Shanxin Yuan, et al. ∙

research

∙ 04/08/2017

First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

In this work we study the use of 3D hand poses to recognize first-person...

Guillermo Garcia-Hernando, et al. ∙

research

∙ 03/28/2017

Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences

Existing RNN-based approaches for action recognition from depth sequence...

Zhiyuan Shi, et al. ∙

research

∙ 01/09/2017

A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth

State-of-the-art techniques for 6D object pose recovery depend on occlus...

Caner Sahin, et al. ∙

research

∙ 10/28/2016

Real-time Online Action Detection Forests using Spatio-temporal Contexts

Online action detection (OAD) is challenging since 1) robust yet computa...

Seungryul Baek, et al. ∙

research

∙ 07/10/2016

Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection

A human action can be seen as transitions between one's body poses over ...

Guillermo Garcia-Hernando, et al. ∙

research

∙ 07/08/2016

Siamese Regression Networks with Efficient mid-level Feature Extraction for 3D Object Pose Estimation

In this paper we tackle the problem of estimating the 3D pose of object ...

Andreas Doumanoglou, et al. ∙

Tae-Kyun Kim

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