research
∙
09/18/2023
Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis
The excellent text-to-image synthesis capability of diffusion models has...
share
research
∙
08/31/2023
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
Vehicle-to-everything (V2X) autonomous driving opens up a promising dire...
research
∙
05/30/2023
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models
Large pre-trained vision-language models have shown great prominence in ...
research
∙
05/17/2023
Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars
The Wide-field Infrared Survey Explorer (WISE) has detected hundreds of ...
research
∙
05/12/2023
ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4
In recent years, large language models (LLMs) have made significant prog...
research
∙
03/31/2023
Siamese DETR
Recent self-supervised methods are mainly designed for representation le...
research
∙
03/23/2023
Explore the Power of Synthetic Data on Few-shot Object Detection
Few-shot object detection (FSOD) aims to expand an object detector for n...
research
∙
03/09/2023
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning
Federated learning (FL) has recently become a hot research topic, in whi...
research
∙
02/28/2023
An Effective Crop-Paste Pipeline for Few-shot Object Detection
Few-shot object detection (FSOD) aims to expand an object detector for n...
research
∙
02/21/2023
Oriented Object Detection in Optical Remote Sensing Images: A Survey
Oriented object detection is one of the most fundamental and challenging...
research
∙
10/22/2022
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Deep learning models rely on highly optimized tensor libraries for effic...
research
∙
10/22/2022
R^2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference
Document-level natural language inference (DOCNLI) is a new challenging ...
research
∙
09/13/2022
Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine
Tensegrity robots, composed of rigid rods and flexible cables, exhibit h...
research
∙
06/01/2022
LDoS attack detection method based on traffic time-frequency characteristics
For the traditional denial-of-service attack detection methods have comp...
research
∙
05/29/2022
6N-DoF Pose Tracking for Tensegrity Robots
Tensegrity robots, which are composed of rigid compressive elements (rod...
research
∙
05/08/2022
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature
To address the problem that traditional network traffic anomaly detectio...
research
∙
04/15/2022
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification
Document-level Event Causality Identification (DECI) aims to identify ca...
research
∙
04/12/2022
Few-shot Forgery Detection via Guided Adversarial Interpolation
Realistic visual media synthesis is becoming a critical societal issue w...
research
∙
03/18/2022
Towards Robust 2D Convolution for Reliable Visual Recognition
2D convolution (Conv2d), which is responsible for extracting features fr...
research
∙
03/15/2022
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Large-scale datasets play a vital role in computer vision. Existing data...
research
∙
02/28/2022
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data
Tensegrity robots, composed of rigid rods and flexible cables, are diffi...
research
∙
02/24/2022
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
In this paper, we propose an effective yet efficient model PAIE for both...
research
∙
02/08/2022
K-ST: A Formal Executable Semantics of PLC Structured Text Language
Programmable Logic Controllers (PLCs) are responsible for automating pro...
research
∙
10/11/2021
Pitch Preservation In Singing Voice Synthesis
Suffering from limited singing voice corpus, existing singing voice synt...
research
∙
10/03/2021
Heterogeneous Dual-Core Overlay Processor for Light-Weight CNNs
Light-weight convolutional neural networks (CNNs) have small complexity ...
research
∙
08/30/2021
X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
3D teeth reconstruction from X-ray is important for dental diagnosis and...
research
∙
08/22/2021
Domain Adaptation for Underwater Image Enhancement
Recently, learning-based algorithms have shown impressive performance in...
research
∙
08/04/2021
FPB: Feature Pyramid Branch for Person Re-Identification
High performance person Re-Identification (Re-ID) requires the model to ...
research
∙
06/23/2021
A polygonal scaled boundary finite element method for solving heat conduction problems
This paper presents a steady-state and transient heat conduction analysi...
research
∙
05/24/2021
Cascading Bandit under Differential Privacy
This paper studies differential privacy (DP) and local differential priv...
research
∙
04/17/2021
Conservative Contextual Combinatorial Cascading Bandit
Conservative mechanism is a desirable property in decision-making proble...
research
∙
04/13/2021
NPE: An FPGA-based Overlay Processor for Natural Language Processing
In recent years, transformer-based models have shown state-of-the-art re...
research
∙
02/05/2021
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Gait is a unique biometric feature that can be recognized at a distance;...
research
∙
02/02/2021
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Convolutional networks (ConvNets) have achieved promising accuracy for v...
research
∙
12/31/2020
OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray
Patient's understanding on forthcoming dental surgeries is required by p...
research
∙
12/23/2020
Exploring Instance-Level Uncertainty for Medical Detection
The ability of deep learning to predict with uncertainty is recognized a...
research
∙
12/20/2020
Physical Implementability of Quantum Maps and Its Application in Error Mitigation
Completely positive and trace-preserving maps characterize physically im...
research
∙
11/10/2020
An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control
This work proposes an end-to-end differentiable physics engine for tense...
research
∙
11/09/2020
Spring-Rod System Identification via Differentiable Physics Engine
We propose a novel differentiable physics engine for system identificati...
research
∙
06/13/2020
Accurate Anchor Free Tracking
Visual object tracking is an important application of computer vision. R...
research
∙
04/28/2020
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
We propose a novel differentiable physics engine for system identificati...
research
∙
04/13/2020
A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks
The evaluation of constitutive models, especially for high-risk and high...
research
∙
04/13/2020
Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network
With the popularity and development of the wearable devices such as smar...
research
∙
03/18/2020
Oral-3D: Reconstructing the 3D Bone Structure of Oral Cavity from 2D Panoramic X-ray
Panoramic X-ray and Cone Beam Computed Tomography (CBCT) are two of the ...
research
∙
03/16/2020
Adapting Object Detectors with Conditional Domain Normalization
Real-world object detectors are often challenged by the domain gaps betw...
research
∙
02/19/2020
T-Net: A Template-Supervised Network for Task-specific Feature Extraction in Biomedical Image Analysis
Existing deep learning methods depend on an encoder-decoder structure to...
research
∙
01/16/2020
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
research
∙
01/16/2020
OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
research
∙
01/07/2020
Effective scaling of blockchain beyond consensus innovations and Moore's law
As an emerging technology, blockchain has achieved great success in nume...
research
∙
01/07/2020