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08/29/2023
Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance
This paper presents a differential geometric control approach that lever...
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08/11/2023
Generalizing Event-Based Motion Deblurring in Real-World Scenarios
Event-based motion deblurring has shown promising results by exploiting ...
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07/04/2023
Random Walk on Multiple Networks
Random Walk is a basic algorithm to explore the structure of networks, w...
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06/26/2023
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks
Brain graphs, which model the structural and functional relationships be...
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06/13/2023
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations
Imitation learning has achieved great success in many sequential decisio...
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06/05/2023
MotionTrack: Learning Motion Predictor for Multiple Object Tracking
Significant advancements have been made in multi-object tracking (MOT) w...
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05/29/2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition
Because of the ambiguous and subjective property of the facial expressio...
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05/26/2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Graph convolutional networks (GCNs) are discriminative models that direc...
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05/16/2023
Power Grid Transient Analysis via Open-Source Circuit Simulator: A Case Study of HVDC
This paper proposes an electronic circuit simulator-based method to acce...
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05/04/2023
Learning Generalizable Pivoting Skills
The skill of pivoting an object with a robotic system is challenging for...
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04/18/2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Data augmentation has been established as an efficacious approach to sup...
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04/14/2023
Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events
Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS)...
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04/05/2023
Recovering Continuous Scene Dynamics from A Single Blurry Image with Events
This paper aims at demystifying a single motion-blurred image with event...
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04/03/2023
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs
Clinical evidence encompasses the associations and impacts between patie...
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04/03/2023
A Hierarchical Multi-Vehicle Coordinated Motion Planning Method based on Interactive Spatio-Temporal Corridors
Multi-vehicle coordinated motion planning has always been challenged to ...
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03/31/2023
Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding
Contrastive learning has shown promising potential for learning robust r...
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03/21/2023
Time Series Contrastive Learning with Information-Aware Augmentations
Various contrastive learning approaches have been proposed in recent yea...
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02/27/2023
Learning to Super-Resolve Blurry Images with Events
Super-Resolution from a single motion Blurred image (SRB) is a severely ...
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02/11/2023
Unnoticeable Backdoor Attacks on Graph Neural Networks
Graph Neural Networks (GNNs) have achieved promising results in various ...
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02/06/2023
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
In Composed Image Retrieval (CIR), a user combines a query image with te...
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01/25/2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Recently, graph-based models designed for downstream tasks have signific...
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01/07/2023
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment
Uncovering rationales behind predictions of graph neural networks (GNNs)...
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12/16/2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
Graph serves as a powerful tool for modeling data that has an underlying...
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12/05/2022
Learning to See Through with Events
Although synthetic aperture imaging (SAI) can achieve the seeing-through...
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11/07/2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
Domain generalization (DG) aims to learn a generalizable model from mult...
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10/26/2022
Personalized Federated Learning via Heterogeneous Modular Networks
Personalized Federated Learning (PFL) which collaboratively trains a fed...
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09/25/2022
Multimodal Learning with Channel-Mixing and Masked Autoencoder on Facial Action Unit Detection
Recent studies utilizing multi-modal data aimed at building a robust mod...
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08/03/2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning
Link prediction is an important task that has wide applications in vario...
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06/17/2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Pre-training on time series poses a unique challenge due to the potentia...
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06/10/2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks
In recent years, graph neural networks (GNNs) have achieved state-of-the...
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06/02/2022
Prefix Conditioning Unifies Language and Label Supervision
Vision-language contrastive learning suggests a new learning paradigm by...
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05/28/2022
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
Sentence summarization aims at compressing a long sentence into a short ...
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05/27/2022
On Consistency in Graph Neural Network Interpretation
Uncovering rationales behind predictions of graph neural networks (GNNs)...
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04/21/2022
Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification
Unsupervised person re-identification is a challenging and promising tas...
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04/12/2022
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation
Nuclear norm maximization has shown the power to enhance the transferabi...
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04/05/2022
Text Spotting Transformers
In this paper, we present TExt Spotting TRansformers (TESTR), a generic ...
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03/30/2022
Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels
Recent studies on the automatic detection of facial action unit (AU) hav...
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03/29/2022
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis
Emotion is an experience associated with a particular pattern of physiol...
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03/28/2022
Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks
Manipulating deformable linear objects by robots has a wide range of app...
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03/23/2022
Unifying Motion Deblurring and Frame Interpolation with Events
Slow shutter speed and long exposure time of frame-based cameras often c...
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03/22/2022
Multi-Modal Learning for AU Detection Based on Multi-Head Fused Transformers
Multi-modal learning has been intensified in recent years, especially fo...
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02/23/2022
Exploring Edge Disentanglement for Node Classification
Edges in real-world graphs are typically formed by a variety of factors ...
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01/29/2022
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
Knowledge distillation (KD) methods compress large models into smaller s...
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12/06/2021
Using principal stratification in analysis of clinical trials
The ICH E9(R1) addendum (2019) proposed principal stratification (PS) as...
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11/01/2021
Safe Online Gain Optimization for Variable Impedance Control
Smooth behaviors are preferable for many contact-rich manipulation tasks...
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10/28/2021
InfoGCL: Information-Aware Graph Contrastive Learning
Various graph contrastive learning models have been proposed to improve ...
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10/25/2021
Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks
This paper introduces a discrete-continuous action space to learn insert...
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10/17/2021
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks
We consider the problem of distributed downlink beam scheduling and powe...
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10/11/2021
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
In many domains, including healthcare, biology, and climate science, tim...
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10/11/2021