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08/27/2023
Hypergraph Structure Inference From Data Under Smoothness Prior
Hypergraphs are important for processing data with higher-order relation...
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08/17/2023
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
Exploring spatial-temporal dependencies from observed motions is one of ...
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08/09/2023
Joint-Relation Transformer for Multi-Person Motion Prediction
Multi-person motion prediction is a challenging problem due to the depen...
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05/30/2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
This work considers the category distribution heterogeneity in federated...
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04/24/2023
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
Cooperative perception enabled by V2X Communication technologies can sig...
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03/23/2023
Collaboration Helps Camera Overtake LiDAR in 3D Detection
Camera-only 3D detection provides an economical solution with a simple c...
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03/20/2023
Leapfrog Diffusion Model for Stochastic Trajectory Prediction
To model the indeterminacy of human behaviors, stochastic trajectory pre...
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03/20/2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Learning to predict agent motions with relationship reasoning is importa...
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03/17/2023
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving
Vision-centric joint perception and prediction (PnP) has become an emerg...
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03/16/2023
Among Us: Adversarially Robust Collaborative Perception by Consensus
Multiple robots could perceive a scene (e.g., detect objects) collaborat...
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01/01/2023
Discriminative Radial Domain Adaptation
Domain adaptation methods reduce domain shift typically by learning doma...
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11/14/2022
Robust Collaborative 3D Object Detection in Presence of Pose Errors
Collaborative 3D object detection exploits information exchange among mu...
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11/03/2022
Learning Hypergraphs From Signals With Dual Smoothness Prior
The construction of a meaningful hypergraph topology is the key to proce...
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10/31/2022
Unrolled Graph Learning for Multi-Agent Collaboration
Multi-agent learning has gained increasing attention to tackle distribut...
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10/18/2022
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
3D point cloud semantic segmentation is one of the fundamental tasks for...
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10/14/2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning
One of the key challenges in federated learning (FL) is local data distr...
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09/26/2022
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps
Multi-agent collaborative perception could significantly upgrade the per...
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08/22/2022
Collaborative Perception for Autonomous Driving: Current Status and Future Trend
Perception is one of the crucial module of the autonomous driving system...
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08/08/2022
Aerial Monocular 3D Object Detection
Drones equipped with cameras can significantly enhance human ability to ...
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08/07/2022
Weakly Supervised Online Action Detection for Infant General Movements
To make the earlier medical intervention of infants' cerebral palsy (CP)...
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07/31/2022
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
Graph convolutional network based methods that model the body-joints' re...
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07/20/2022
Aware of the History: Trajectory Forecasting with the Local Behavior Data
The historical trajectories previously passing through a location may he...
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07/18/2022
Latency-Aware Collaborative Perception
Collaborative perception has recently shown great potential to improve p...
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07/11/2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
In multi-modal multi-agent trajectory forecasting, two major challenges ...
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06/27/2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning
Demystifying the interactions among multiple agents from their past traj...
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05/31/2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling
Pooling and unpooling are two essential operations in constructing hiera...
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04/19/2022
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
Demystifying the interactions among multiple agents from their past traj...
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03/22/2022
Remember Intentions: Retrospective-Memory-based Trajectory Prediction
To realize trajectory prediction, most previous methods adopt the parame...
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02/17/2022
V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving
Vehicle-to-everything (V2X), which denotes the collaboration between a v...
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02/17/2022
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Multivariate time series forecasting has long received significant atten...
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01/28/2022
Modular representation and control of floppy networks
Geometric graph models of systems as diverse as proteins, robots, and me...
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01/25/2022
Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties
Computation offloading is indispensable for mobile edge computing (MEC)....
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12/06/2021
No-Reference Point Cloud Quality Assessment via Domain Adaptation
We present a novel no-reference quality assessment metric, the image tra...
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11/01/2021
Learning Distilled Collaboration Graph for Multi-Agent Perception
To promote better performance-bandwidth trade-off for multi-agent percep...
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10/30/2021
Dynamic Differential-Privacy Preserving SGD
Differentially-Private Stochastic Gradient Descent (DP-SGD) prevents tra...
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10/23/2021
Spatio-Temporal Graph Complementary Scattering Networks
Spatio-temporal graph signal analysis has a significant impact on a wide...
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10/20/2021
Detecting Backdoor Attacks Against Point Cloud Classifiers
Backdoor attacks (BA) are an emerging threat to deep neural network clas...
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10/19/2021
Learning to Learn Graph Topologies
Learning a graph topology to reveal the underlying relationship between ...
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10/16/2021
Joint 3D Human Shape Recovery from A Single Imag with Bilayer-Graph
The ability to estimate the 3D human shape and pose from images can be u...
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09/24/2021
A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer
Human pose transfer has typically been modeled as a 2D image-to-image tr...
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08/25/2021
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction
We propose a multiscale spatio-temporal graph neural network (MST-GNN) t...
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08/17/2021
CaT: Weakly Supervised Object Detection with Category Transfer
A large gap exists between fully-supervised object detection and weakly-...
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07/16/2021
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning
3D hand-object pose estimation is an important issue to understand the i...
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07/02/2021
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network
This paper considers predicting future statuses of multiple agents in an...
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04/12/2021
A Backdoor Attack against 3D Point Cloud Classifiers
Vulnerability of 3D point cloud (PC) classifiers has become a grave conc...
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04/06/2021
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize actions ...
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03/04/2021
Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception
Distortion quantification of point clouds plays a stealth, yet vital rol...
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12/17/2020
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
We propose a novel method based on teacher-student learning framework fo...
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12/06/2020
Spatio-Temporal Graph Scattering Transform
Although spatio-temporal graph neural networks have achieved great empir...
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11/03/2020