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Found 10 papers, 7 papers with code
Perspective Phase Angle Model for Polarimetric 3D Reconstruction
Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assumption.
Condition-Invariant and Compact Visual Place Description by Convolutional Autoencoder
We employ a high-level layer of a pre-trained CNN to generate features, and train a CAE to map the features to a low-dimensional space to improve the condition invariance property of the descriptor and reduce its dimension at the same time.
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
Insufficient learning (due to convergence to local optima) results in under-performing policies whilst redundant learning wastes time and resources.
Pose-based Modular Network for Human-Object Interaction Detection
We contribute a Pose-based Modular Network (PMN) which explores the absolute pose features and relative spatial pose features to improve HOI detection and is fully compatible with existing networks.
Ranked #23 on
Human-Object Interaction Detection
on V-COCO
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
Spatio-temporal information is key to resolve occlusion and depth ambiguity in 3D pose estimation.
Ranked #11 on
3D Human Pose Estimation
on HumanEva-I
Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection
Few works have studied the disambiguating contribution of subsidiary relations made available via graph networks.
Large-scale Multi-modal Person Identification in Real Unconstrained Environments
Person identification (P-ID) under real unconstrained noisy environments is a huge challenge.
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning
Our work demonstrates that invariant transformations on RL trajectories are a promising methodology to speed up learning in deep RL.
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies
Robot manipulation is increasingly poised to interact with humans in co-shared workspaces.
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images
This paper proposes a robust 3D object detection and pose estimation pipeline based on RGB-D images, which can detect multiple objects simultaneously while reducing false positives.
