research
∙
09/21/2023
Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech
Prosodic phrasing is crucial to the naturalness and intelligibility of e...
share
research
∙
09/05/2023
An Efficient Approach to Unsupervised Out-of-Distribution Detection with Variational Autoencoders
This paper is concerned with deep generative models (DGMs) for unsupervi...
research
∙
08/24/2023
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records
Survival analysis plays a crucial role in many healthcare decisions, whe...
research
∙
08/14/2023
Data Generation-based Operator Learning for Solving Partial Differential Equations on Unbounded Domains
Wave propagation problems are typically formulated as partial differenti...
research
∙
08/13/2023
Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion
The application of video captioning models aims at translating the conte...
research
∙
07/29/2023
Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback
Learning contrastive representations from pairwise comparisons has achie...
research
∙
07/21/2023
ClickINC: In-network Computing as a Service in Heterogeneous Programmable Data-center Networks
In-Network Computing (INC) has found many applications for performance b...
research
∙
07/07/2023
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media
Social media platforms such as Instagram and Twitter have emerged as cri...
research
∙
07/05/2023
MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition
Dynamic facial expression recognition (DFER) is essential to the develop...
research
∙
06/27/2023
Explainable Multimodal Emotion Reasoning
Multimodal emotion recognition is an active research topic in artificial...
research
∙
06/19/2023
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Generating realistic human motion from given action descriptions has exp...
research
∙
06/16/2023
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors
Transformer is popular in recent 3D human pose estimation, which utilize...
research
∙
06/11/2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
With rich visual data, such as images, becoming readily associated with ...
research
∙
06/09/2023
A Boosted Model Ensembling Approach to Ball Action Spotting in Videos: The Runner-Up Solution to CVPR'23 SoccerNet Challenge
This technical report presents our solution to Ball Action Spotting in v...
research
∙
06/06/2023
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Large language models (LLMs) encode a vast amount of world knowledge acq...
research
∙
06/02/2023
Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling
Popularity bias is a persistent issue associated with recommendation sys...
research
∙
05/18/2023
Multi-spectral Class Center Network for Face Manipulation Detection and Localization
As Deepfake contents continue to proliferate on the internet, advancing ...
research
∙
05/10/2023
Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification
Clothes-invariant feature extraction is critical to the clothes-changing...
research
∙
05/09/2023
Restormer-Plus for Real World Image Deraining: One State-of-the-Art Solution to the GT-RAIN Challenge (CVPR 2023 UG^2+ Track 3)
This technical report presents our Restormer-Plus approach, which was su...
research
∙
04/18/2023
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
Over the past few decades, multimodal emotion recognition has made remar...
research
∙
04/10/2023
Use the Detection Transformer as a Data Augmenter
Detection Transformer (DETR) is a Transformer architecture based object ...
research
∙
04/01/2023
On Context Distribution Shift in Task Representation Learning for Offline Meta RL
Offline meta reinforcement learning (OMRL) aims to learn transferrable k...
research
∙
03/29/2023
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network
It is a challenging problem to predict trends of futures prices with tra...
research
∙
03/16/2023
Commonsense Knowledge Assisted Deep Learning for Resource-constrained and Fine-grained Object Detection
In this paper, we consider fine-grained image object detection in resour...
research
∙
03/07/2023
Toward NeuroDM: Where Computational Neuroscience Meets Data Mining
At the intersection of computational neuroscience (CN) and data mining (...
research
∙
02/24/2023
Pose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention
Most of the existing audio-driven 3D facial animation methods suffered f...
research
∙
02/11/2023
3D Colored Shape Reconstruction from a Single RGB Image through Diffusion
We propose a novel 3d colored shape reconstruction method from a single ...
research
∙
02/03/2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
We study stochastic delayed feedback in general multi-agent sequential d...
research
∙
01/28/2023
DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning
Noisy partial label learning (noisy PLL) is an important branch of weakl...
research
∙
01/27/2023
Bayesian Self-Supervised Contrastive Learning
Recent years have witnessed many successful applications of contrastive ...
research
∙
12/11/2022
Personalized local heating neutralizing individual, spatial and temporal thermo-physiological variances in extreme cold environments
In this paper, we investigate the feasibility, robustness and optimizati...
research
∙
12/01/2022
Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction
The discovery of drug-target interactions (DTIs) is a pivotal process in...
research
∙
11/09/2022
ARNet: Automatic Refinement Network for Noisy Partial Label Learning
Partial label learning (PLL) is a typical weakly supervised learning, wh...
research
∙
10/09/2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction
In light of the smoothness property brought by skip connections in ResNe...
research
∙
08/24/2022
Q-Net: Query-Informed Few-Shot Medical Image Segmentation
Deep learning has achieved tremendous success in computer vision, while ...
research
∙
08/16/2022
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis
With the proliferation of user-generated online videos, Multimodal Senti...
research
∙
08/01/2022
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
Graph-based models have achieved great success in person re-identificati...
research
∙
07/31/2022
Intelligent decision-making method of TBM operating parameters based on multiple constraints and objective optimization
The decision-making of TBM operating parameters has an important guiding...
research
∙
07/23/2022
Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach
We study the change point detection problem for high-dimensional linear ...
research
∙
07/23/2022
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge
In this paper, we propose the solution to the Multi-Task Learning (MTL) ...
research
∙
07/14/2022
A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering
A covert attack method often used by APT organizations is the DNS tunnel...
research
∙
07/08/2022
Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning
Existing face forgery detection methods usually treat face forgery detec...
research
∙
06/29/2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models
Training an ensemble of different sub-models has empirically proven to b...
research
∙
05/30/2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
To break the bottlenecks of mainstream cloud-based machine learning (ML)...
research
∙
05/20/2022
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Artificial neural networks have realized incredible successes at image r...
research
∙
05/16/2022
VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge
Image-to-image translation is an important and challenging problem in co...
research
∙
04/05/2022
Real-time Online Multi-Object Tracking in Compressed Domain
Recent online Multi-Object Tracking (MOT) methods have achieved desirabl...
research
∙
04/02/2022
Negative Sampling for Recommendation
How to effectively sample high-quality negative instances is important f...
research
∙
04/01/2022
i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems
Input features play a crucial role in the predictive performance of DNN-...
research
∙
03/25/2022