research
∙
08/01/2023
Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
3D human pose estimation in outdoor environments has garnered increasing...
share
research
∙
06/20/2023
LNL+K: Learning with Noisy Labels and Noise Source Distribution Knowledge
Learning with noisy labels (LNL) is challenging as the model tends to me...
research
∙
06/04/2023
USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model
Open World Object Detection (OWOD) is a novel and challenging computer v...
research
∙
04/26/2023
Membrane Potential Distribution Adjustment and Parametric Surrogate Gradient in Spiking Neural Networks
As an emerging network model, spiking neural networks (SNNs) have arouse...
research
∙
02/25/2023
Cross-modal Contrastive Learning for Multimodal Fake News Detection
Automatic detection of multimodal fake news has gained a widespread atte...
research
∙
12/23/2022
RMove: Recommending Move Method Refactoring Opportunities using Structural and Semantic Representations of Code
Incorrect placement of methods within classes is a typical code smell ca...
research
∙
06/08/2022
ReCo: A Dataset for Residential Community Layout Planning
Layout planning is centrally important in the field of architecture and ...
research
∙
05/16/2022
An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition
We present an effective method for Intracranial Hemorrhage Detection (IH...
research
∙
12/06/2021
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
Analyzing the morphology of cells in microscopy images can provide insig...
research
∙
08/05/2021
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
Video abnormal event detection (VAD) is a vital semi-supervised task tha...
research
∙
08/04/2021
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos
Video anomaly detection (VAD) has constantly been a vital topic in video...
research
∙
04/27/2021
Multi-view Deep One-class Classification: A Systematic Exploration
One-class classification (OCC), which models one single positive class a...
research
∙
04/24/2021
The Design of the User Interfaces for Privacy Enhancements for Android
We present the design and design rationale for the user interfaces for P...
research
∙
12/23/2020
Rethink AI-based Power Grid Control: Diving Into Algorithm Design
Recently, deep reinforcement learning (DRL)-based approach has shown pro...
research
∙
09/05/2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Person re-identification (Re-ID) via gait features within 3D skeleton se...
research
∙
08/27/2020
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
As a vital topic in media content interpretation, video anomaly detectio...
research
∙
08/21/2020
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
Gait-based person re-identification (Re-ID) is valuable for safety-criti...
research
∙
08/24/2019
Neural Network Inference on Mobile SoCs
The ever-increasing demand from mobile Machine Learning (ML) application...
research
∙
07/25/2019
Collaborative Heterogeneous Computing on MPSoCs
This thesis (extended abstract) presents the software development effort...
research
∙
03/14/2019
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
IoT Edge intelligence requires Convolutional Neural Network (CNN) infere...
research
∙
03/11/2018
BEBP: An Poisoning Method Against Machine Learning Based IDSs
In big data era, machine learning is one of fundamental techniques in in...
research
∙
03/06/2018