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08/10/2023
Enhancing AUV Autonomy With Model Predictive Path Integral Control
Autonomous underwater vehicles (AUVs) play a crucial role in surveying m...
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08/06/2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error
The prevalence of domain adaptive semantic segmentation has prompted con...
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08/01/2023
Zero-Shot Learning by Harnessing Adversarial Samples
Zero-Shot Learning (ZSL) aims to recognize unseen classes by generalizin...
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06/01/2023
BAMF-SLAM: Bundle Adjusted Multi-Fisheye Visual-Inertial SLAM Using Recurrent Field Transforms
In this paper, we present BAMF-SLAM, a novel multi-fisheye visual-inerti...
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03/16/2023
Event-based Human Pose Tracking by Spiking Spatiotemporal Transformer
Event camera, as an emerging biologically-inspired vision sensor for cap...
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01/15/2023
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
Designing an efficient yet deployment-friendly 3D backbone to handle spa...
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12/16/2022
rWiFiSLAM: Effective WiFi Ranging based SLAM System in Ambient Environments
In this paper, we propose rWiFiSLAM, an indoor localisation system based...
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10/27/2022
Improved Feature Distillation via Projector Ensemble
In knowledge distillation, previous feature distillation methods mainly ...
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09/05/2022
Federated Zero-Shot Learning for Visual Recognition
Zero-shot learning is a learning regime that recognizes unseen classes b...
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08/30/2022
Boosting Night-time Scene Parsing with Learnable Frequency
Night-Time Scene Parsing (NTSP) is essential to many vision applications...
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08/17/2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models
Deep neural networks (DNNs) are vulnerable to adversarial examples, in w...
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07/11/2022
Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation
A typical multi-source domain adaptation (MSDA) approach aims to transfe...
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07/05/2022
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
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07/04/2022
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
Inspired by the strong ties between vision and language, the two intimat...
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05/12/2022
CURL: Continuous, Ultra-compact Representation for LiDAR
Increasing the density of the 3D LiDAR point cloud is appealing for many...
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01/09/2022
Joint Successive Cancellation List Decoding for the Double Polar codes
As a new joint source-channel coding scheme, the double polar (D-Polar) ...
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11/30/2021
Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems
The increasing use of Machine Learning (ML) components embedded in auton...
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11/26/2021
3D Pose Estimation and Future Motion Prediction from 2D Images
This paper considers to jointly tackle the highly correlated tasks of es...
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11/12/2021
Action2video: Generating Videos of Human 3D Actions
We aim to tackle the interesting yet challenging problem of generating v...
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10/23/2021
Generalized Polarization Transform: A Novel Coded Transmission Paradigm
With the standardization and deployment of 5G, the focus has now shifted...
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09/07/2021
Sequential Diagnosis Prediction with Transformer and Ontological Representation
Sequential diagnosis prediction on the Electronic Health Record (EHR) ha...
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09/02/2021
Global Convolutional Neural Processes
The ability to deal with uncertainty in machine learning models has beco...
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08/15/2021
Human Pose and Shape Estimation from Single Polarization Images
This paper focuses on a new problem of estimating human pose and shape f...
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08/15/2021
EventHPE: Event-based 3D Human Pose and Shape Estimation
Event camera is an emerging imaging sensor for capturing dynamics of mov...
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08/12/2021
From market-ready ROVs to low-cost AUVs
Autonomous Underwater Vehicles (AUVs) are becoming increasingly importan...
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08/05/2021
Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image
Given a picture of a chair, could we extract the 3-D shape of the chair,...
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07/28/2021
Underwater inspection and intervention dataset
This paper presents a novel dataset for the development of visual naviga...
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07/20/2021
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
Healthcare representation learning on the Electronic Health Record (EHR)...
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07/15/2021
Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds
This paper presents a novel unsupervised approach to reconstruct human s...
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07/07/2021
Mitigating Generation Shifts for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) is the task of leveraging semantic...
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07/06/2021
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
Visually-aware recommendation on E-commerce platforms aims to leverage v...
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06/21/2021
FedCM: Federated Learning with Client-level Momentum
Federated Learning is a distributed machine learning approach which enab...
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04/12/2021
Radar SLAM: A Robust SLAM System for All Weather Conditions
A Simultaneous Localization and Mapping (SLAM) system must be robust to ...
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04/12/2021
How Sensitive are Meta-Learners to Dataset Imbalance?
Meta-Learning (ML) has proven to be a useful tool for training Few-Shot ...
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04/11/2021
NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions
Broader applications of the Internet of Things (IoT) are expected in the...
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01/20/2021
Semantic Disentangling Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
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01/07/2021
Few-Shot Learning with Class Imbalance
Few-shot learning aims to train models on a limited number of labeled sa...
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11/19/2020
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
In this paper, we teach machines to understand visuals and natural langu...
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10/18/2020
RADIATE: A Radar Dataset for Automotive Perception
Datasets for autonomous cars are essential for the development and bench...
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09/24/2020
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
Electronic health records (EHRs) are longitudinal records of a patient's...
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07/30/2020
Action2Motion: Conditioned Generation of 3D Human Motions
Action recognition is a relatively established task, where givenan input...
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07/27/2020
Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches
Zero-shot learning (ZSL) is commonly used to address the very pervasive ...
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07/17/2020
3D Human Shape Reconstruction from a Polarization Image
This paper tackles the problem of estimating 3D body shape of clothed hu...
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06/07/2020
Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping
Agile control of mobile manipulator is challenging because of the high c...
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06/05/2020
SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images
In this paper, we propose a novel approach to reconstruct 3D human body ...
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05/10/2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Deep convolutional neural networks have shown to perform well in underwa...
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05/05/2020
RadarSLAM: Radar based Large-Scale SLAM in All Weathers
Numerous Simultaneous Localization and Mapping (SLAM) algorithms have be...
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04/30/2020
Polarization Human Shape and Pose Dataset
Polarization images are known to be able to capture polarized reflected ...
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03/12/2020
ZSTAD: Zero-Shot Temporal Activity Detection
An integral part of video analysis and surveillance is temporal activity...
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03/02/2020