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09/12/2023
Recovering from Privacy-Preserving Masking with Large Language Models
Model adaptation is crucial to handle the discrepancy between proxy trai...
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09/07/2023
Sparse Federated Training of Object Detection in the Internet of Vehicles
As an essential component part of the Intelligent Transportation System ...
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09/05/2023
Diffusion-based 3D Object Detection with Random Boxes
3D object detection is an essential task for achieving autonomous drivin...
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09/01/2023
Contextual Biasing of Named-Entities with Large Language Models
This paper studies contextual biasing with Large Language Models (LLMs),...
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08/16/2023
OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis
Ultrasound (US) imaging is indispensable in clinical practice. To diagno...
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08/10/2023
RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation
Robust estimation is a crucial and still challenging task, which involve...
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06/20/2023
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
Robot localization using a previously built map is essential for a varie...
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06/04/2023
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
With the development of large language models, many remarkable linguisti...
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05/29/2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Most named entity recognition (NER) systems focus on improving model per...
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05/12/2023
Multi-Modal 3D Object Detection by Box Matching
Multi-modal 3D object detection has received growing attention as the in...
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05/02/2023
Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning
Tactile sensing in soft robots remains particularly challenging because ...
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04/04/2023
RARE: Robust Masked Graph Autoencoder
Masked graph autoencoder (MGAE) has emerged as a promising self-supervis...
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03/22/2023
RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration
Although point cloud registration has achieved remarkable advances in ob...
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03/10/2023
Mode-locking Theory for Long-Range Interaction in Artificial Neural Networks
Visual long-range interaction refers to modeling dependencies between di...
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03/09/2023
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection
In this paper, we present a simple yet effective semi-supervised 3D obje...
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03/01/2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize ...
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02/27/2023
Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic
Website fingerprinting attack is an extensively studied technique used i...
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01/04/2023
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection
In this paper, we propose a cross-modal distillation method named Stereo...
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12/19/2022
Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access
Type-based multiple access (TBMA) is a semantics-aware multiple access p...
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12/09/2022
Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing
Automated GUI testing is widely used to help ensure the quality of mobil...
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12/08/2022
The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps
As the bridge between users and software, Graphical User Interface (GUI)...
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11/22/2022
High-Throughput GPU Implementation of Dilithium Post-Quantum Digital Signature
In this work, we present a well-optimized GPU implementation of Dilithiu...
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11/10/2022
Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker
Clone detection is widely exploited for software vulnerability search. T...
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11/09/2022
Adaptive Multi-Corpora Language Model Training for Speech Recognition
Neural network language model (NNLM) plays an essential role in automati...
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11/08/2022
Hilbert Distillation for Cross-Dimensionality Networks
3D convolutional neural networks have revealed superior performance in p...
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11/05/2022
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
The task of Compositional Zero-Shot Learning (CZSL) is to recognize imag...
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10/13/2022
Mitigating Unintended Memorization in Language Models via Alternating Teaching
Recent research has shown that language models have a tendency to memori...
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10/04/2022
Group Personalized Federated Learning
Federated learning (FL) can help promote data privacy by training a shar...
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09/07/2022
Modeling Dependent Structure for Utterances in ASR Evaluation
The bootstrap resampling method has been popular for performing signific...
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09/05/2022
PromptAttack: Prompt-based Attack for Language Models via Gradient Search
As the pre-trained language models (PLMs) continue to grow, so do the ha...
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08/01/2022
Learning to Navigate using Visual Sensor Networks
We consider the problem of navigating a mobile robot towards a target in...
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07/19/2022
What Matters for 3D Scene Flow Network
3D scene flow estimation from point clouds is a low-level 3D motion perc...
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06/02/2022
SparseDet: Towards End-to-End 3D Object Detection
In this paper, we propose SparseDet for end-to-end 3D object detection f...
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05/27/2022
NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves
Manual testing, as a complement to automated GUI testing, is the last li...
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05/27/2022
Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding
Graphical User Interface (GUI) provides a visual bridge between a softwa...
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05/20/2022
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Artificial neural networks have realized incredible successes at image r...
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05/20/2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Deep graph learning has achieved remarkable progresses in both business ...
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05/03/2022
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis
EEG-based tinnitus classification is a valuable tool for tinnitus diagno...
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05/03/2022
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus
With the development of digital technology, machine learning has paved t...
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04/04/2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Model compression is important in federated learning (FL) with large mod...
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01/28/2022
Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves
Mobile apps are indispensable for people's daily life. Complementing wit...
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01/28/2022
Neural-FST Class Language Model for End-to-End Speech Recognition
We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech...
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01/06/2022
Balancing Generalization and Specialization in Zero-shot Learning
Zero-Shot Learning (ZSL) aims to transfer classification capability from...
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12/21/2021
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection
Recently, fusing the LiDAR point cloud and camera image to improve the p...
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12/09/2021
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
Learning intra-region contexts and inter-region relations are two effect...
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12/06/2021
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
Depth and ego-motion estimations are essential for the localization and ...
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12/01/2021
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning
Current approaches to Zero-Shot Learning (ZSL) struggle to learn general...
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11/03/2021
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning
Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observe...
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11/03/2021
Efficient 3D Deep LiDAR Odometry
An efficient 3D point cloud learning architecture, named PWCLO-Net, for ...
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10/08/2021