research
∙
08/23/2023
DSSP: A Distributed, SLO-aware, Sensing-domain-privacy-Preserving Architecture for Sensing-as-a-Service
In this paper, we propose DSSP, a Distributed, SLO-aware, Sensing-domain...
share
research
∙
03/21/2023
Indeterminate Probability Neural Network
We propose a new general model called IPNN - Indeterminate Probability N...
research
∙
03/03/2023
PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in Conversation
Conversational Causal Emotion Entailment (C2E2) is a task that aims at r...
research
∙
08/08/2022
An integer grid bridge sampler for the Bayesian inference of incomplete birth-death records
A one-to-one correspondence is established between the bridge path space...
research
∙
06/21/2022
Using EBGAN for Anomaly Intrusion Detection
As an active network security protection scheme, intrusion detection sys...
research
∙
03/18/2022
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention
Detecting objects from LiDAR point clouds is of tremendous significance ...
research
∙
02/05/2021
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER
Recently multimodal named entity recognition (MNER) has utilized images ...
research
∙
12/26/2020
Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture
Crowdsourcing plays an essential role in the Internet of Things (IoT) fo...
research
∙
12/14/2020
Learning Category-level Shape Saliency via Deep Implicit Surface Networks
This paper is motivated from a fundamental curiosity on what defines a c...
research
∙
09/26/2020
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Learning robotic grasps from visual observations is a promising yet chal...
research
∙
07/31/2020
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision
Calibrated estimates of uncertainty are critical for many real-world com...
research
∙
07/06/2020
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles
Trajectory prediction is crucial for autonomous vehicles. The planning s...
research
∙
06/13/2020
HRDNet: High-resolution Detection Network for Small Objects
Small object detection is challenging because small objects do not conta...
research
∙
02/13/2020
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy
Local differential privacy (LDP) has received much interest recently. In...
research
∙
12/30/2019
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Accurate 3D object detection in LiDAR based point clouds suffers from th...
research
∙
12/02/2019
IPG-Net: Image Pyramid Guidance Network for Object Detection
For Convolutional Neural Network based object detection, there is a typi...
research
∙
07/18/2019
Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning
In sponsored search, keyword recommendations help advertisers to achieve...
research
∙
07/11/2019
Conditional Analysis for Key-Value Data with Local Differential Privacy
Local differential privacy (LDP) has been deemed as the de facto measure...
research
∙
06/27/2019
Distributed Clustering in the Anonymized Space with Local Differential Privacy
Clustering and analyzing on collected data can improve user experiences ...
research
∙
12/25/2018
Coupled Recurrent Network (CRN)
Many semantic video analysis tasks can benefit from multiple, heterogeno...
research
∙
08/13/2017
Lattice Long Short-Term Memory for Human Action Recognition
Human actions captured in video sequences are three-dimensional signals ...
research
∙
06/22/2017
Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features
Fine-grained categorization can benefit from part-based features which r...
research
∙
12/30/2016