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09/13/2023
3D Active Metric-Semantic SLAM
In this letter, we address the problem of exploration and metric-semanti...
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09/07/2023
Spiking Structured State Space Model for Monaural Speech Enhancement
Speech enhancement seeks to extract clean speech from noisy signals. Tra...
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09/02/2023
FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition
We present FastPoseGait, an open-source toolbox for pose-based gait reco...
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08/13/2023
Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles
This paper addresses the problem of active collaborative localization in...
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08/12/2023
Towards Exascale Computation for Turbomachinery Flows
A state-of-the-art large eddy simulation code has been developed to solv...
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07/01/2023
AutoST: Training-free Neural Architecture Search for Spiking Transformers
Spiking Transformers have gained considerable attention because they ach...
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06/14/2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Traffic forecasting plays a critical role in smart city initiatives and ...
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05/29/2023
Active Collaborative Localization in Heterogeneous Robot Teams
Accurate and robust state estimation is critical for autonomous navigati...
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04/27/2023
TorchBench: Benchmarking PyTorch with High API Surface Coverage
Deep learning (DL) has been a revolutionary technique in various domains...
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03/27/2023
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Linking computational natural language processing (NLP) models and neura...
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03/22/2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
To address the challenges of long-tailed classification, researchers hav...
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03/19/2023
Unsupervised Gait Recognition with Selective Fusion
Previous gait recognition methods primarily trained on labeled datasets,...
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02/16/2023
Laplace neural operator for complex geometries
Neural operators have emerged as a new area of machine learning for lear...
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02/06/2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search
The construction of machine learning models involves many bi-level multi...
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01/30/2023
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Spatio-temporal graph neural networks (STGNN) have become the most popul...
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12/30/2022
Delving into Semantic Scale Imbalance
Model bias triggered by long-tailed data has been widely studied. Howeve...
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12/06/2022
Event-based Monocular Dense Depth Estimation with Recurrent Transformers
Event cameras, offering high temporal resolutions and high dynamic range...
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12/02/2022
DWRSeg: Dilation-wise Residual Network for Real-time Semantic Segmentation
Real-time semantic segmentation has played an important role in intellig...
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11/27/2022
Deep Active Learning for Computer Vision: Past and Future
As an important data selection schema, active learning emerges as the es...
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09/18/2022
Active Metric-Semantic Mapping by Multiple Aerial Robots
Traditional approaches for active mapping focus on building geometric ma...
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09/09/2022
A Memory-Related Multi-Task Method Based on Task-Agnostic Exploration
We pose a new question: Can agents learn how to combine actions from pre...
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08/25/2022
Functional varying index coefficient model for dynamic gene-environment interactions
Rooted in genetics, human complex diseases are largely influenced by env...
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07/29/2022
Deep Learning-based Occluded Person Re-identification: A Survey
Occluded person re-identification (Re-ID) aims at addressing the occlusi...
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07/24/2022
Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition
Gait recognition is instrumental in crime prevention and social security...
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05/14/2022
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data
Physics-informed extreme learning machine (PIELM) has recently received ...
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03/24/2022
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Dynamic attention mechanism and global modeling ability make Transformer...
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03/23/2022
OJXPerf: Featherlight Object Replica Detection for Java Programs
Memory bloat is an important source of inefficiency in complex productio...
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03/04/2022
Weighted Simultaneous Algebra Reconstruction Technique (wSART) for Additive Light Field Synthesis
We apply an iterative weighting scheme for additive light field synthesi...
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03/02/2022
Experiments in Adaptive Replanning for Fast Autonomous Flight in Forests
Fast, autonomous flight in unstructured, cluttered environments such as ...
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01/29/2022
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving
We introduce ApolloRL, an open platform for research in reinforcement le...
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01/18/2022
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks
Temperature field inversion of heat-source systems (TFI-HSS) with limite...
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01/18/2022
BinGo: Pinpointing Concurrency Bugs in Go via Binary Analysis
Golang (also known as Go for short) has become popular in building concu...
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12/10/2021
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map
The driving behavior at urban intersections is very complex. It is thus ...
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11/29/2021
Data Augmentation For Medical MR Image Using Generative Adversarial Networks
Computer-assisted diagnosis (CAD) based on deep learning has become a cr...
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10/06/2021
Relative Entropy Gradient Sampler for Unnormalized Distributions
We propose a relative entropy gradient sampler (REGS) for sampling from ...
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09/14/2021
Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
In this letter, we propose an integrated autonomous flight and semantic ...
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08/26/2021
Spatio-Temporal Graph Contrastive Learning
Deep learning models are modern tools for spatio-temporal graph (STG) fo...
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08/03/2021
Elastic Architecture Search for Diverse Tasks with Different Resources
We study a new challenging problem of efficient deployment for diverse t...
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07/23/2021
A novel meta-learning initialization method for physics-informed neural networks
Physics-informed neural networks (PINNs) have been widely used to solve ...
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06/14/2021
Balanced Coarsening for Multilevel Hypergraph Partitioning via Wasserstein Discrepancy
We propose a balanced coarsening scheme for multilevel hypergraph partit...
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06/11/2021
Toward Efficient Interactions between Python and Native Libraries
Python has become a popular programming language because of its excellen...
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05/04/2021
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
As an effective technique to achieve the implementation of deep neural n...
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04/07/2021
DJXPerf: Identifying Memory Inefficiencies via Object-centric Profiling for Java
Java is the "go-to" programming language choice for developing scalable ...
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03/02/2021
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
We present a learning-based planner that aims to robustly drive a vehicl...
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02/10/2021
NumaPerf: Predictive and Full NUMA Profiling
Parallel applications are extremely challenging to achieve the optimal p...
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09/23/2020
Place Recognition in Forests with Urquhart Tessellations
In this letter we present a novel descriptor based on polygons derived f...
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09/03/2020
ScalAna: Automating Scaling Loss Detection with Graph Analysis
Scaling a parallel program to modern supercomputers is challenging due t...
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08/23/2020
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding
This paper proposes to generalize the variational recurrent neural netwo...
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06/14/2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
This paper presents and characterizes an Open Application Repository for...
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06/10/2020