research
∙
03/16/2023
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
Implicit neural rendering, which uses signed distance function (SDF) rep...
share
research
∙
02/17/2023
Multi-Behavior Graph Neural Networks for Recommender System
Recommender systems have been demonstrated to be effective to meet user'...
research
∙
09/09/2022
ISS: Image as Stetting Stone for Text-Guided 3D Shape Generation
Text-guided 3D shape generation remains challenging due to the absence o...
research
∙
07/20/2022
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
With the rapid development of mobile devices, modern widely-used mobile ...
research
∙
05/31/2022
Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking
The recent trend in multiple object tracking (MOT) is heading towards le...
research
∙
04/06/2022
Video Demoireing with Relation-Based Temporal Consistency
Moire patterns, appearing as color distortions, severely degrade image a...
research
∙
01/26/2022
An Efficient and Robust System for Vertically Federated Random Forest
As there is a growing interest in utilizing data across multiple resourc...
research
∙
01/07/2022
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction
Crime prediction is crucial for public safety and resource optimization,...
research
∙
01/07/2022
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling
Many previous studies aim to augment collaborative filtering with deep n...
research
∙
12/21/2021
Decompose the Sounds and Pixels, Recompose the Events
In this paper, we propose a framework centering around a novel architect...
research
∙
12/11/2021
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
Recent self-supervised video representation learning methods have found ...
research
∙
10/08/2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Accurate forecasting of citywide traffic flow has been playing critical ...
research
∙
10/08/2021
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Capturing users' precise preferences is of great importance in various r...
research
∙
10/08/2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Accurate user and item embedding learning is crucial for modern recommen...
research
∙
10/08/2021
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
Session-based recommendation plays a central role in a wide spectrum of ...
research
∙
10/08/2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Social recommendation task aims to predict users' preferences over items...
research
∙
10/08/2021
Graph Meta Network for Multi-Behavior Recommendation
Modern recommender systems often embed users and items into low-dimensio...
research
∙
10/08/2021
Social Recommendation with Self-Supervised Metagraph Informax Network
In recent years, researchers attempt to utilize online social informatio...
research
∙
09/06/2021
Class Semantics-based Attention for Action Detection
Action localization networks are often structured as a feature encoder s...
research
∙
08/11/2021
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
State of the art (SOTA) few-shot learning (FSL) methods suffer significa...
research
∙
07/08/2021
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
In this paper, we present Fedlearn-Algo, an open-source privacy preservi...
research
∙
03/14/2021
Learning a Proposal Classifier for Multiple Object Tracking
The recent trend in multiple object tracking (MOT) is heading towards le...
research
∙
12/23/2019
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Fraud detection is extremely critical for e-commerce business. It is the...
research
∙
12/10/2019
Neural Point Cloud Rendering via Multi-Plane Projection
We present a new deep point cloud rendering pipeline through multi-plane...
research
∙
11/19/2019
Heterogeneous Deep Graph Infomax
Graph representation learning is to learn universal node representations...
research
∙
09/14/2016
An Adaptive Psychoacoustic Model for Automatic Speech Recognition
Compared with automatic speech recognition (ASR), the human auditory sys...
research
∙
01/16/2014
