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Active Learning for Bayesian 3D Hand Pose Estimation
We propose a Bayesian approximation to a deep learning architecture for ...
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3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
Manipulating facial expressions is a challenging task due to fine-graine...
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Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
Dexterous manipulation of objects in virtual environments with our bare ...
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Sequential Graph Convolutional Network for Active Learning
We propose a novel generic sequential Graph Convolution Network (GCN) tr...
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MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
We propose a novel self-supervised semi-supervised learning approach for...
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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 ...
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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...
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Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Endoscopy is a widely used imaging modality to diagnose and treat diseas...
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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...
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Inducing Optimal Attribute Representations for Conditional GANs
Conditional GANs are widely used in translating an image from one catego...
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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...
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Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction
Current 6D object pose methods consist of deep CNN models fully optimize...
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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...
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Sampling Strategies for GAN Synthetic Data
Generative Adversarial Networks (GANs) have been used widely to generate...
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Real-time Background-aware 3D Textureless Object Pose Estimation
In this work, we present a modified fuzzy decision forest for real-time ...
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AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification
Augmenting data in image space (eg. flipping, cropping etc) and activati...
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Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning
Cooperative game is a critical research area in multi-agent reinforcemen...
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Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
Cooperative game is a critical research area in multi-agent reinforcemen...
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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 ...
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Instance- and Category-level 6D Object Pose Estimation
6D object pose estimation is an important task that determines the 3D po...
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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...
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HANDS18: Methods, Techniques and Applications for Hand Observation
This report outlines the proceedings of the Fourth International Worksho...
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A Summary of the 4th International Workshop on Recovering 6D Object Pose
This document summarizes the 4th International Workshop on Recovering 6D...
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Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
Human hand actions are quite complex, especially when they involve objec...
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BOP: Benchmark for 6D Object Pose Estimation
We propose a benchmark for 6D pose estimation of a rigid object from a s...
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Category-level 6D Object Pose Recovery in Depth Images
Intra-class variations, distribution shifts among source and target doma...
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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...
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Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation
Crucial to the success of training a depth-based 3D hand pose estimator ...
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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...
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3D Hand Pose Estimation: From Current Achievements to Future Goals
In this paper, we strive to answer two questions: What is the current st...
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Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network
Hand pose estimation is to predict the pose parameters representing a 3D...
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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...
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The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation
We present the 2017 Hands in the Million Challenge, a public competition...
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Recovering 6D Object Pose: Multi-modal Analyses on Challenges
A large number of studies analyse object detection and pose estimation a...
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Deep Convolutional Decision Jungle for Image Classification
We propose a novel method called deep convolutional decision jungle (CDJ...
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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...
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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...
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Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences
Existing RNN-based approaches for action recognition from depth sequence...
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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...
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Real-time Online Action Detection Forests using Spatio-temporal Contexts
Online action detection (OAD) is challenging since 1) robust yet computa...
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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 ...
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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 ...
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Latent Bi-constraint SVM for Video-based Object Recognition
We address the task of recognizing objects from video input. This import...
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Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation
Discriminative methods often generate hand poses kinematically implausib...
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Iterative Hough Forest with Histogram of Control Points for 6 DoF Object Registration from Depth Images
State-of-the-art techniques proposed for 6D object pose recovery depend ...
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Latent-Class Hough Forests for 6 DoF Object Pose Estimation
In this paper we present Latent-Class Hough Forests, a method for object...
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Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
Object detection and 6D pose estimation in the crowd (scenes with multip...
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Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding
Image understanding is an important research domain in the computer visi...
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Multiple Object Tracking: A Literature Review
Multiple Object Tracking (MOT) is an important computer vision problem w...
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