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09/12/2023
BDEC:Brain Deep Embedded Clustering model
An essential premise for neuroscience brain network analysis is the succ...
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08/22/2023
MPI Application Binary Interface Standardization
MPI is the most widely used interface for high-performance computing (HP...
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08/09/2023
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
GPU-aware collective communication has become a major bottleneck for mod...
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08/07/2023
Quantifying the Performance Benefits of Partitioned Communication in MPI
Partitioned communication was introduced in MPI 4.0 as a user-friendly i...
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05/17/2023
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques
In the exascale computing era, optimizing MPI collective performance in ...
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04/25/2023
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds
In this paper, we propose a novel self-supervised motion estimator for L...
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04/08/2023
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives
With the ever-increasing computing power of supercomputers and the growi...
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08/29/2022
MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming
The hybrid MPI+X programming paradigm, where X refers to threads or GPUs...
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03/14/2022
LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network
With the rapid advances of autonomous driving, it becomes critical to eq...
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12/09/2021
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
Recently, records on stereo matching benchmarks are constantly broken by...
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11/28/2021
Code Clone Detection based on Event Embedding and Event Dependency
The code clone detection method based on semantic similarity has importa...
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09/12/2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
State-of-the-art methods for driving-scene LiDAR-based perception (inclu...
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09/07/2021
Revisiting Recursive Least Squares for Training Deep Neural Networks
Recursive least squares (RLS) algorithms were once widely used for train...
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08/17/2021
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
Camera and 3D LiDAR sensors have become indispensable devices in modern ...
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08/16/2021
Robust Beamforming Design for Rate Splitting Multiple Access-Aided MISO Visible Light Communications
This paper addresses robust beamforming design for rate splitting multip...
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11/24/2020
LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
With the rapid advances of autonomous driving, it becomes critical to eq...
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11/19/2020
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
State-of-the-art methods for large-scale driving-scene LiDAR segmentatio...
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08/04/2020
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
State-of-the-art methods for large-scale driving-scene LiDAR semantic se...
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06/08/2020
Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth
We present a novel learning framework for cloth deformation by embedding...
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04/13/2020
Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation
Fashion is a complex social phenomenon. People follow fashion styles fro...
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04/09/2020
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
In this paper, we attempt to solve the domain adaptation problem for dee...
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02/13/2020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
3D vehicle detection based on point cloud is a challenging task in real-...
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01/20/2020
Recovering Geometric Information with Learned Texture Perturbations
Regularization is used to avoid overfitting when training a neural netwo...
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09/09/2019
Robust Multi-Modality Multi-Object Tracking
Multi-sensor perception is crucial to ensure the reliability and accurac...
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07/31/2019
3D Virtual Garment Modeling from RGB Images
We present a novel approach that constructs 3D virtual garment models fr...
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06/17/2019
Pose Guided Fashion Image Synthesis Using Deep Generative Model
Generating a photorealistic image with intended human pose is a promisin...
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04/11/2019
Ranking-Based Autoencoder for Extreme Multi-label Classification
Extreme Multi-label classification (XML) is an important yet challenging...
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09/04/2018
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
Due to the expensive and time-consuming annotations (e.g., segmentation)...
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06/04/2018
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking
Online Multi-Object Tracking (MOT) is a challenging problem and has many...
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10/08/2016