research
∙
08/22/2023
TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
Video data and algorithms have been driving advances in multi-object tra...
share
research
∙
08/09/2023
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models
Music generation has attracted growing interest with the advancement of ...
research
∙
08/04/2023
IRS-Enabled Covert and Reliable Communications: How Many Reflection Elements are Required?
Short-packet communications are applied to various scenarios where trans...
research
∙
08/04/2023
Covert and Reliable Short-Packet Communications against A Proactive Warder
Wireless short-packet communications pose challenges to the security and...
research
∙
05/31/2023
SPADA: A Toolbox of Designing Soft Pneumatic Actuators for Shape Matching based on the Surrogate Model
The actuation of a soft robot involves transforming its shape from an in...
research
∙
05/26/2023
Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models
With the widespread use of large language models (LLMs) in NLP tasks, re...
research
∙
04/18/2023
BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs
Knowledge graphs are an increasingly common data structure for represent...
research
∙
03/30/2023
NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation
We present a novel differentiable rendering framework for joint geometry...
research
∙
01/09/2023
MIS: A Multi-Identifier Management and Resolution System Based on Consortium Blockchain in Metaverse
As digital resources become diverse in the metaverse, a DNS-like system ...
research
∙
12/23/2022
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
As machine learning being used increasingly in making high-stakes decisi...
research
∙
10/31/2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Heterogeneous graph neural network has unleashed great potential on grap...
research
∙
10/22/2022
Performance Analysis of the Full-Duplex Communicating-Radar Convergence System
This paper aims to explore the feasibility of the spectrum sharing betwe...
research
∙
06/07/2022
Critical Regularizations for Neural Surface Reconstruction in the Wild
Neural implicit functions have recently shown promising results on surfa...
research
∙
04/01/2022
i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems
Input features play a crucial role in the predictive performance of DNN-...
research
∙
03/14/2022
NeILF: Neural Incident Light Field for Physically-based Material Estimation
We present a differentiable rendering framework for material and lightin...
research
∙
03/03/2022
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
The area under the ROC curve (AUC) is one of the most widely used perfor...
research
∙
02/17/2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
It is well known that the success of deep neural networks is greatly att...
research
∙
01/19/2022
RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference
Human activity analysis based on sensor data plays a significant role in...
research
∙
11/15/2021
Authentication of optical physical unclonable functions based on single-pixel detection
Physical unclonable function (PUF) has been proposed as a promising and ...
research
∙
09/08/2021
Bionic Optical Physical Unclonable Functions for Authentication and Encryption
Information security is of great importance for modern society with all ...
research
∙
09/08/2021
Fast random number generator based on optical physical unclonable functions
We propose an approach for fast random number generation based on homema...
research
∙
08/26/2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
Due to the high efficiency and less weather dependency, autonomous green...
research
∙
08/23/2021
Learning Signed Distance Field for Multi-view Surface Reconstruction
Recent works on implicit neural representations have shown promising res...
research
∙
08/03/2021
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning
Model-based reinforcement learning is a widely accepted solution for sol...
research
∙
08/02/2021
Several classes of bent functions over finite fields
Let 𝔽_p^n be the finite field with p^n elements and Tr(·) be the trace f...
research
∙
07/06/2021
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
Agriculture is the foundation of human civilization. However, the rapid ...
research
∙
07/05/2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation
Model-based deep reinforcement learning has achieved success in various ...
research
∙
03/15/2021
UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level
Vector-based cellular automata (CA) based on real land-parcel has become...
research
∙
10/22/2020
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
Cellular Automata (CA) are widely used to model the dynamics within comp...
research
∙
08/18/2020
Visibility-aware Multi-view Stereo Network
Learning-based multi-view stereo (MVS) methods have demonstrated promisi...
research
∙
08/11/2020
Learning Stereo Matchability in Disparity Regression Networks
Learning-based stereo matching has recently achieved promising results, ...
research
∙
03/24/2020
KFNet: Learning Temporal Camera Relocalization using Kalman Filtering
Temporal camera relocalization estimates the pose with respect to each v...
research
∙
03/23/2020
ASLFeat: Learning Local Features of Accurate Shape and Localization
This work focuses on mitigating two limitations in the joint learning of...
research
∙
11/22/2019
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
While deep learning has recently achieved great success on multi-view st...
research
∙
09/19/2019
Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency
The self-supervised learning of depth and pose from monocular sequences ...
research
∙
05/11/2019
Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures
Multiple mechanisms have been proposed to explain how greenery enhances ...
research
∙
04/08/2019
ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
Most existing studies on learning local features focus on the patch-base...
research
∙
02/27/2019
Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
Deep learning has recently demonstrated its excellent performance for mu...
research
∙
11/08/2018
Phantom Device Attack: Uncovering the Security Implications of the Interactions among Devices, IoT Cloud, and Mobile Apps
Smart home connects tens of home devices into the Internet, running a sm...
research
∙
07/17/2018
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
Learned local descriptors based on Convolutional Neural Networks (CNNs) ...
research
∙
04/07/2018
MVSNet: Depth Inference for Unstructured Multi-view Stereo
We present an end-to-end deep learning architecture for depth map infere...
research
∙
02/16/2018
Optimal Hybrid Full-Duplex/Half-Duplex Scheme for Buffer Aided Relay Systems
Full-duplex (FD) communication has received great interest in recent yea...
research
∙
02/16/2018
Optimal Hybrid Full-Duplex/Half-Duplex Scheme of the Buffer Aided Relay System
Full-duplex (FD) communication has received great interests recently due...
research
∙
11/27/2017
Pulsar Candidate Identification with Artificial Intelligence Techniques
Discovering pulsars is a significant and meaningful research topic in th...
research
∙
10/24/2017
Optimal Resource Allocation in Distributed Broadband Wireless Communication Systems
This paper is concerned with optimization of distributed broadband wirel...
research
∙
08/04/2017
Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models
With the rapid progress of China's urbanization, research on the automat...
research
∙
05/13/2017