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09/04/2023
TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
Time-to-Contact (TTC) estimation is a critical task for assessing collis...
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08/12/2023
Towards Exascale Computation for Turbomachinery Flows
A state-of-the-art large eddy simulation code has been developed to solv...
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08/07/2023
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data
Recently, multiple data-driven models based on machine learning for weat...
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07/25/2023
A Novel Computationally Efficient Group Signature for Anonymous and Secure V2X Communications
The use of vehicle-to-everything (V2X) communication is expected to sign...
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07/19/2023
A Decision Making Framework for Recommended Maintenance of Road Segments
With the rapid development of global road transportation, countries worl...
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07/19/2023
Towards Saner Deep Image Registration
With recent advances in computing hardware and surges of deep-learning a...
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07/07/2023
Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition
Wearable sensor-based Human Action Recognition (HAR) has made significan...
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03/26/2023
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification
Visible-infrared person re-identification (VI-ReID), which aims to searc...
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03/11/2023
Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Management
This research paper explores the use of ChatGPT in database management. ...
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03/02/2023
BPT: Binary Point Cloud Transformer for Place Recognition
Place recognition, an algorithm to recognize the re-visited places, play...
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02/16/2023
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models
Applying powerful generative denoising diffusion models (DDMs) for downs...
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01/27/2023
Optical Flow Estimation in 360^∘ Videos: Dataset, Model and Application
Optical flow estimation has been a long-lasting and fundamental problem ...
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12/07/2022
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Recently, due to the increasing requirements of medical imaging applicat...
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11/28/2022
Post-training Quantization on Diffusion Models
Denoising diffusion (score-based) generative models have recently achiev...
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10/05/2022
Vision+X: A Survey on Multimodal Learning in the Light of Data
We are perceiving and communicating with the world in a multisensory man...
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09/19/2022
3D Cross Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentation
Large curated datasets are necessary, but annotating medical images is a...
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08/21/2022
DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection
The prosperity of deep learning contributes to the rapid progress in sce...
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08/17/2022
Progressive Cross-modal Knowledge Distillation for Human Action Recognition
Wearable sensor-based Human Action Recognition (HAR) has achieved remark...
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08/14/2022
Semi-Supervised Video Inpainting with Cycle Consistency Constraints
Deep learning-based video inpainting has yielded promising results and g...
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08/07/2022
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation
Optical flow estimation in omnidirectional videos faces two significant ...
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07/24/2022
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem
Several studies have recently pointed that existing Visual Question Answ...
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07/17/2022
MLP-GAN for Brain Vessel Image Segmentation
Brain vessel image segmentation can be used as a promising biomarker for...
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07/16/2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
Most existing compound facial expression recognition (FER) methods rely ...
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07/13/2022
Lipschitz Continuity Retained Binary Neural Network
Relying on the premise that the performance of a binary neural network c...
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07/09/2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain
Despite the rapid progress on research in adversarial robustness of deep...
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07/09/2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach
Safe deployment of time-series classifiers for real-world applications r...
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07/09/2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
Despite the success of deep neural networks (DNNs) for real-world applic...
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07/06/2022
Network Binarization via Contrastive Learning
Neural network binarization accelerates deep models by quantizing their ...
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06/15/2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Diffusion probabilistic models (DPMs) have become a popular approach to ...
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04/26/2022
Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining
The recent success of audio-visual representation learning can be largel...
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04/23/2022
Supplementing Missing Visions via Dialog for Scene Graph Generations
Most current AI systems rely on the premise that the input visual data a...
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04/12/2022
HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud
Place recognition or loop closure detection is one of the core component...
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04/01/2022
Quantized GAN for Complex Music Generation from Dance Videos
We present Dance2Music-GAN (D2M-GAN), a novel adversarial multi-modal fr...
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03/22/2022
Cross-View Panorama Image Synthesis
In this paper, we tackle the problem of synthesizing a ground-view panor...
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03/08/2022
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
Real-time semantic segmentation, which aims to achieve high segmentation...
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03/08/2022
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes
Over the past few years, deep convolutional neural network-based methods...
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02/23/2022
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
Action recognition has been a heated topic in computer vision for its wi...
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02/16/2022
An efficient distributed scheduling algorithm for relay-assisted mmWave backhaul networks
In this paper, a novel distributed scheduling algorithm is proposed, whi...
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02/11/2022
Towards the Maximum Traffic Demand and Throughput Supported by Relay-Assisted mmWave Backhaul Networks
This paper investigates the throughput performance issue of the relay-as...
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01/30/2022
Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning
With the remarkable success of deep learning recently, efficient network...
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01/18/2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Human emotions involve basic and compound facial expressions. However, c...
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12/15/2021
Expert and Crowd-Guided Affect Annotation and Prediction
We employ crowdsourcing to acquire time-continuous affective annotations...
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10/25/2021
Event Data Association via Robust Model Fitting for Event-based Object Tracking
Event-based approaches, which are based on bio-inspired asynchronous eve...
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10/12/2021
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos
This paper focuses on tackling the problem of temporal language localiza...
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10/08/2021
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks
Algorithmic bias is of increasing concern, both to the research communit...
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08/29/2021
Lipschitz Continuity Guided Knowledge Distillation
Knowledge distillation has become one of the most important model compre...
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07/07/2021
Cross-View Exocentric to Egocentric Video Synthesis
Cross-view video synthesis task seeks to generate video sequences of one...
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06/26/2021
Saying the Unseen: Video Descriptions via Dialog Agents
Current vision and language tasks usually take complete visual data (e.g...
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06/15/2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
Non-parametric face modeling aims to reconstruct 3D face only from image...
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06/15/2021
