research
∙
09/18/2023
Localization-Guided Track: A Deep Association Multi-Object Tracking Framework Based on Localization Confidence of Detections
In currently available literature, no tracking-by-detection (TBD) paradi...
share
research
∙
09/12/2023
Batch Implicit Neural Representation for MRI Parallel Reconstruction
Magnetic resonance imaging (MRI) always suffered from the problem of lon...
research
∙
07/31/2023
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Reinforcement learning is still struggling with solving long-horizon sur...
research
∙
07/20/2023
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar
The 4D Millimeter wave (mmWave) radar is a promising technology for vehi...
research
∙
06/28/2023
Positive Label Is All You Need for Multi-Label Classification
Multi-label classification (MLC) suffers from the inevitable label noise...
research
∙
03/24/2023
AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach
The 6G Internet poses intense demands for intelligent and customized des...
research
∙
03/16/2023
Homography matrix based trajectory planning method for robot uncalibrated visual servoing
In view of the classical visual servoing trajectory planning method whic...
research
∙
02/20/2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Task automation of surgical robot has the potentials to improve surgical...
research
∙
01/04/2023
UNAEN: Unsupervised Abnomality Extraction Network for MRI Motion Artifact Reduction
Motion artifact reduction is one of the most concerned problems in magne...
research
∙
01/01/2023
Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning
Surgical robot automation has attracted increasing research interest ove...
research
∙
11/11/2022
RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection System
Radar, the only sensor that could provide reliable perception capability...
research
∙
09/07/2022
Cooperative trajectory planning algorithm of USV-UAV with hull dynamic constraints
Efficient trajectory generation in complex dynamic environment stills re...
research
∙
09/07/2022
Efficient Trajectory Planning and Control for USV with Vessel Dynamics and Differential Flatness
Unmanned surface vessels (USVs) are widely used in ocean exploration and...
research
∙
07/12/2022
LightViT: Towards Light-Weight Convolution-Free Vision Transformers
Vision transformers (ViTs) are usually considered to be less light-weigh...
research
∙
05/30/2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
To break the bottlenecks of mainstream cloud-based machine learning (ML)...
research
∙
05/21/2022
Knowledge Distillation from A Stronger Teacher
Unlike existing knowledge distillation methods focus on the baseline set...
research
∙
05/18/2022
Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges
The Internet of intelligence is conceived as an emerging networking para...
research
∙
05/13/2022
Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
High-resolution (HR) MRI is critical in assisting the doctor's diagnosis...
research
∙
04/01/2022
A Class of Semiparametric Models with Homogeneous Structure for Panel Data Analysis
Stimulated by the analysis of a dataset from China about Covid-19, we pr...
research
∙
03/24/2022
DyRep: Bootstrapping Training with Dynamic Re-parameterization
Structural re-parameterization (Rep) methods achieve noticeable improvem...
research
∙
02/26/2022
Relational Surrogate Loss Learning
Evaluation metrics in machine learning are often hardly taken as loss fu...
research
∙
01/25/2022
Large-scale Deterministic Transmission among IEEE 802.1Qbv Time-Sensitive Networks
IEEE 802.1Qbv (TAS) is the most widely used technique in Time-Sensitive ...
research
∙
01/18/2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Learning informative representations from image-based observations is of...
research
∙
11/24/2021
GreedyNASv2: Greedier Search with a Greedy Path Filter
Training a good supernet in one-shot NAS methods is difficult since the ...
research
∙
06/03/2021
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression
In this paper, we propose a gradient boosting algorithm for large-scale ...
research
∙
03/22/2021
Prioritized Architecture Sampling with Monto-Carlo Tree Search
One-shot neural architecture search (NAS) methods significantly reduce t...
research
∙
03/12/2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
In coded aperture snapshot spectral imaging (CASSI) system, the real-wor...
research
∙
02/10/2021
Locally Free Weight Sharing for Network Width Search
Searching for network width is an effective way to slim deep neural netw...
research
∙
01/08/2021
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
In the last few years, image denoising has benefited a lot from the fast...
research
∙
11/18/2020
Explicitly Learning Topology for Differentiable Neural Architecture Search
Differentiable neural architecture search (DARTS) has gained much succes...
research
∙
11/17/2020
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
Graph convolutional networks (GCNs) have been employed as a kind of sign...
research
∙
10/28/2020
Data Agnostic Filter Gating for Efficient Deep Networks
To deploy a well-trained CNN model on low-end computation edge devices, ...
research
∙
10/20/2020
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers
Quantum error mitigation techniques are at the heart of quantum computat...
research
∙
07/03/2020
Unified statistical inference for a novel nonlinear dynamic functional/longitudinal data model
In light of recent work studying massive functional/longitudinal data, s...
research
∙
03/25/2020
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Training a supernet matters for one-shot neural architecture search (NAS...
research
∙
03/23/2020
Grant-Free Non-Orthogonal Multiple Access: A Key Enabler for 6G-IoT
The proliferating number of devices with short payloads as well as low p...
research
∙
12/20/2019
Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments
To provide proactive fault tolerance for modern cloud data centers, exte...
research
∙
01/16/2013
