research
∙
06/25/2023
YOLO-based Semantic Communication with Generative AI-aided Resource Allocation for Digital Twins Construction
Digital Twins play a crucial role in bridging the physical and virtual w...
share
research
∙
05/05/2023
Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer
In recent years, various companies started to shift their data services ...
research
∙
02/06/2023
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend
Word-level textual adversarial attacks have achieved striking performanc...
research
∙
11/14/2022
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
Current 3D object detection methods heavily rely on an enormous amount o...
research
∙
07/27/2022
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
Vision Transformers (ViTs) have recently dominated a range of computer v...
research
∙
07/18/2022
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection
Monocular 3D detection has drawn much attention from the community due t...
research
∙
05/09/2022
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation
Session-based recommendation aims to predict items that an anonymous use...
research
∙
03/18/2022
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
Current LiDAR-only 3D detection methods inevitably suffer from the spars...
research
∙
03/18/2021
SparsePoint: Fully End-to-End Sparse 3D Object Detector
Object detectors based on sparse object proposals have recently been pro...
research
∙
01/29/2021
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
In recent years, supervised person re-identification (re-ID) models have...
research
∙
10/10/2020
Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework
To deploy a pre-trained deep CNN on resource-constrained mobile devices,...
research
∙
08/31/2020
RESA: Recurrent Feature-Shift Aggregator for Lane Detection
Lane detection is one of the most important tasks in self-driving. Due t...
research
∙
08/09/2020
Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences
Scientific article recommender systems are playing an increasingly impor...
research
∙
08/09/2020
Socially-Aware Conference Participant Recommendation with Personality Traits
As a result of the importance of academic collaboration at smart confere...
research
∙
06/14/2020
Parts-dependent Label Noise: Towards Instance-dependent Label Noise
Learning with the instance-dependent label noise is challenging, because...
research
∙
06/14/2020
Class2Simi: A New Perspective on Learning with Label Noise
Label noise is ubiquitous in the era of big data. Deep learning algorith...
research
∙
04/01/2020
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds
3D object detection based on point clouds has become more and more popul...
research
∙
02/16/2020
Multi-Class Classification from Noisy-Similarity-Labeled Data
A similarity label indicates whether two instances belong to the same cl...
research
∙
01/04/2020
Adversarial-Learned Loss for Domain Adaptation
Recently, remarkable progress has been made in learning transferable rep...
research
∙
12/21/2019
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration
Neural network pruning is one of the most popular methods of acceleratin...
research
∙
11/08/2019
CFS: A Distributed File System for Large Scale Container Platforms
We propose CFS, a distributed file system for large scale container plat...
research
∙
09/02/2019
Training-Time-Friendly Network for Real-Time Object Detection
Modern object detectors can rarely achieve short training time, fast inf...
research
∙
08/19/2019
The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform
We present the design and implementation of a visual search system for r...
research
∙
10/17/2018
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
In healthcare, applying deep learning models to electronic health record...
research
∙
05/23/2018
Addressing the Item Cold-start Problem by Attribute-driven Active Learning
In recommender systems, cold-start issues are situations where no previo...
research
∙
01/04/2018
PixelLink: Detecting Scene Text via Instance Segmentation
Most state-of-the-art scene text detection algorithms are deep learning ...
research
∙
12/20/2017
On the Diversity of Realistic Image Synthesis
Many image processing tasks can be formulated as translating images betw...
research
∙
10/23/2017
BENCHIP: Benchmarking Intelligence Processors
The increasing attention on deep learning has tremendously spurred the d...
research
∙
05/24/2017