research
∙
09/15/2023
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
Cross-domain Sequential Recommendation (CSR) which leverages user sequen...
share
research
∙
07/06/2023
Temporal Difference Learning for High-Dimensional PIDEs with Jumps
In this paper, we propose a deep learning framework for solving high-dim...
research
∙
06/17/2023
Genes in Intelligent Agents
Training intelligent agents in Reinforcement Learning (RL) is much more ...
research
∙
05/24/2023
Exploring Diverse In-Context Configurations for Image Captioning
After discovering that Language Models (LMs) can be good in-context few-...
research
∙
05/03/2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models
During the continuous evolution of one organism's ancestry, its genes ac...
research
∙
05/03/2023
Transforming Visual Scene Graphs to Image Captions
We propose to Transform Scene Graphs (TSG) into more descriptive caption...
research
∙
04/04/2023
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering
Visual question answering (VQA) is a critical multimodal task in which a...
research
∙
03/13/2023
Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offine Handwritten Mathematical Expression Recognition
Offline Handwritten Mathematical Expression Recognition (HMER) has been ...
research
∙
01/05/2023
Adaptively Clustering Neighbor Elements for Image Captioning
We design a novel global-local Transformer named Ada-ClustFormer (ACF) t...
research
∙
01/05/2023
Learning Trajectory-Word Alignments for Video-Language Tasks
Aligning objects with words plays a critical role in Image-Language BERT...
research
∙
11/19/2022
Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network
Spiking neural networks (SNNs) have made great progress on both performa...
research
∙
10/12/2022
Projective Transformation Rectification for Camera-captured Chest X-ray Photograph Interpretation with Synthetic Data
Automatic interpretation on smartphone-captured chest X-ray (CXR) photog...
research
∙
10/04/2022
Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning
Humans tend to decompose a sentence into different parts like sth do sth...
research
∙
08/20/2022
MemoNav: Selecting Informative Memories for Visual Navigation
Image-goal navigation is a challenging task, as it requires the agent to...
research
∙
06/29/2022
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen composi...
research
∙
06/27/2022
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition
Online exams via video conference software like Zoom have been adopted i...
research
∙
04/21/2022
Weakly Aligned Feature Fusion for Multimodal Object Detection
To achieve accurate and robust object detection in the real-world scenar...
research
∙
04/21/2022
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation
Segmenting unseen objects is a crucial ability for the robot since it ma...
research
∙
12/17/2021
Towards End-to-End Image Compression and Analysis with Transformers
We propose an end-to-end image compression and analysis model with Trans...
research
∙
11/22/2021
Auto-Encoding Score Distribution Regression for Action Quality Assessment
Action quality assessment (AQA) from videos is a challenging vision task...
research
∙
11/03/2021
Schwarz Waveform Relaxation Physics-Informed Neural Networks for Solving Advection-Diffusion-Reaction Equations
This paper develops a physics-informed neural network (PINN) based on th...
research
∙
10/28/2021
Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction
Pedestrian trajectory prediction is a key technology in many application...
research
∙
10/13/2021
Seismic Tomography with Random Batch Gradient Reconstruction
Seismic tomography solves high-dimensional optimization problems to imag...
research
∙
10/08/2021
How Can AI Recognize Pain and Express Empathy
Sensory and emotional experiences such as pain and empathy are relevant ...
research
∙
08/24/2021
Auto-Parsing Network for Image Captioning and Visual Question Answering
We propose an Auto-Parsing Network (APN) to discover and exploit the inp...
research
∙
07/26/2021
Towards Unbiased Visual Emotion Recognition via Causal Intervention
Although much progress has been made in visual emotion recognition, rese...
research
∙
07/12/2021
Deep unfitted Nitsche method for elliptic interface problems
In this paper, we propose a deep unfitted Nitsche method for computing e...
research
∙
03/09/2021
Doubly Contrastive Deep Clustering
Deep clustering successfully provides more effective features than conve...
research
∙
03/05/2021
Causal Attention for Vision-Language Tasks
We present a novel attention mechanism: Causal Attention (CATT), to remo...
research
∙
12/31/2020
Incremental Embedding Learning via Zero-Shot Translation
Modern deep learning methods have achieved great success in machine lear...
research
∙
09/30/2020
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning
Change Captioning is a task that aims to describe the difference between...
research
∙
07/25/2020
Unfitted Nitsche's method for computing band structures in phononic crystals with impurities
In this paper, we propose an unfitted Nitsche's method to compute the ba...
research
∙
06/03/2020
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging
Computed Tomography (CT) takes X-ray measurements on the subjects to rec...
research
∙
03/09/2020
Deconfounded Image Captioning: A Causal Retrospect
The dataset bias in vision-language tasks is becoming one of the main pr...
research
∙
02/12/2020
Semi-classical limit for the varying-mass Schrödinger equation with random inhomogeneities
The varying-mass Schrödinger equation (VMSE) has been successfully appli...
research
∙
08/19/2019
Unfitted Nitsche's method for computing wave modes in topological materials
In this paper, we propose an unfitted Nitsche's method for computing wav...
research
∙
05/24/2019
mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation
It has been previously observed that training Variational Recurrent Auto...
research
∙
04/30/2019
Deep Spectral Clustering using Dual Autoencoder Network
The clustering methods have recently absorbed even-increasing attention ...
research
∙
04/18/2019
Learning to Collocate Neural Modules for Image Captioning
We do not speak word by word from scratch; our brain quickly structures ...
research
∙
03/26/2019
Unpaired Image Captioning via Scene Graph Alignments
Deep neural networks have achieved great success on the image captioning...
research
∙
01/09/2019
The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection
Aggregating extra features of novel modality brings great advantages for...
research
∙
12/06/2018
Auto-Encoding Graphical Inductive Bias for Descriptive Image Captioning
We propose Scene Graph Auto-Encoder (SGAE) that incorporates the languag...
research
∙
12/06/2018
Auto-Encoding Scene Graphs for Image Captioning
We propose Scene Graph Auto-Encoder (SGAE) that incorporates the languag...
research
∙
08/01/2018
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
Due to the fact that it is prohibitively expensive to completely annotat...
research
∙
11/04/2014
