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08/21/2023
Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
We propose a novel transformer-based framework that reconstructs two hig...
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08/18/2023
Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation
With the rapid development of deep learning technology in the past decad...
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08/01/2023
High-Fidelity Eye Animatable Neural Radiance Fields for Human Face
Face rendering using neural radiance fields (NeRF) is a rapidly developi...
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07/31/2023
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation
Denoising diffusion probabilistic models that were initially proposed fo...
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05/05/2023
Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation
Clothes grasping and unfolding is a core step in robotic-assisted dressi...
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03/15/2023
Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
Temporal modeling is crucial for multi-frame human pose estimation. Most...
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12/09/2022
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation
In this paper, we propose a novel 3D graph convolution based pipeline fo...
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08/01/2022
S^2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
Despite the recent efforts in accurate 3D annotations in hand and object...
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07/13/2022
Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning
We propose a new transformer model for the task of unsupervised learning...
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04/27/2022
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Estimating the pose and shape of hands and objects under interaction fin...
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01/07/2022
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping
We propose a novel optimization framework that crops a given image based...
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11/26/2021
Contrastive Vicinal Space for Unsupervised Domain Adaptation
Utilizing vicinal space between the source and target domains is one of ...
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09/26/2021
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration
Deterministic approaches using iterative optimisation have been historic...
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05/25/2021
Learning a Model-Driven Variational Network for Deformable Image Registration
Data-driven deep learning approaches to image registration can be less a...
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03/30/2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Most of the existing literature regarding hyperbolic embedding concentra...
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03/12/2021
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism
In this paper, we focus on category-level 6D pose and size estimation fr...
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07/15/2020
Combining Task Predictors via Enhancing Joint Predictability
Predictor combination aims to improve a (target) predictor of a learning...
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07/10/2020
SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
3D hand pose estimation based on RGB images has been studied for a long ...
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06/18/2020
Class-Attentive Diffusion Network for Semi-Supervised Classification
We propose Aggregation with Class-Attentive Diffusion (AggCAD), a novel ...
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06/07/2020
Implications of Human Irrationality for Reinforcement Learning
Recent work in the behavioural sciences has begun to overturn the long-h...
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03/25/2020
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
Active Learning for discriminative models has largely been studied with ...
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03/24/2020
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
In this paper, we propose a novel real-time 6D object pose estimation fr...
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03/05/2020
Self-Supervised Spatio-Temporal Representation Learning Using Variable Playback Speed Prediction
We propose a self-supervised learning method by predicting the variable ...
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08/12/2019
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
This paper proposes a new high dimensional regression method by merging ...
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08/07/2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
We propose a symmetric graph convolutional autoencoder which produces a ...
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04/10/2019
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
We present a new predictor combination algorithm that improves a given t...
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03/28/2018
Context-aware Deep Feature Compression for High-speed Visual Tracking
We propose a new context-aware correlation filter based tracking framewo...
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06/12/2017
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
This paper introduces a cognitive architecture for a humanoid robot to e...
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04/12/2017