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09/19/2023
Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration
Opioids are an effective analgesic for acute and chronic pain, but also ...
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08/30/2023
Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey
Neural rendering has garnered substantial attention owing to its capacit...
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08/27/2023
Deep Learning for Visual Localization and Mapping: A Survey
Deep learning based localization and mapping approaches have recently em...
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05/19/2023
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
Projection-free online learning has drawn increasing interest due to its...
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05/15/2023
Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering
Pre-trained Language Model (PLM) is nowadays the mainstay of Unsupervise...
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04/26/2023
Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System
Large-scale Language Models (LLMs) are constrained by their inability to...
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03/14/2023
DAA: A Delta Age AdaIN operation for age estimation via binary code transformer
Naked eye recognition of age is usually based on comparison with the age...
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12/20/2022
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
The robustness of Text-to-SQL parsers against adversarial perturbations ...
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12/17/2022
Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL
The task of text-to-SQL is to convert a natural language question to its...
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11/04/2022
Robotic Assembly Control Reconfiguration Based on Transfer Reinforcement Learning for Objects with Different Geometric Features
Robotic force-based compliance control is a preferred approach to achiev...
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08/08/2022
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences
Sequential recommendation predicts users' next behaviors with their hist...
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07/23/2022
Learning to Route in Mobile Wireless Networks
Designing effective routing strategies for mobile wireless networks is c...
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05/30/2022
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection
There are two critical sensors for 3D perception in autonomous driving, ...
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05/27/2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Fusing the camera and LiDAR information has become a de-facto standard f...
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04/16/2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis
Aspect-Based Sentiment Analysis is a fine-grained sentiment analysis tas...
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03/21/2022
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces
Scene flow is a powerful tool for capturing the motion field of 3D point...
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02/08/2022
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation
Knowledge Distillation has shown very promising abil-ity in transferring...
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12/08/2021
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
The vision-language navigation (VLN) task requires an agent to reach a t...
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11/20/2021
Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals
Dataless text classification, i.e., a new paradigm of weakly supervised ...
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11/07/2021
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals
mmWave FMCW radar has attracted huge amount of research interest for hum...
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09/21/2021
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Dynamic networks have shown their promising capability in reducing theor...
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09/17/2021
AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar
This paper presents a novel place recognition approach to autonomous veh...
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04/15/2021
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
Simultaneous Localization and Mapping (SLAM) system typically employ vis...
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03/24/2021
Dynamic Slimmable Network
Current dynamic networks and dynamic pruning methods have shown their pr...
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03/23/2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
A myriad of recent breakthroughs in hand-crafted neural architectures fo...
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03/01/2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Accurately describing and detecting 2D and 3D keypoints is crucial to es...
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12/31/2020
Relational Deep Reinforcement Learning for Routing in Wireless Networks
While routing in wireless networks has been studied extensively, existin...
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11/13/2020
3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar
Accurate motion capture of aerial robots in 3-D is a key enabler for aut...
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10/26/2020
PSF-LO: Parameterized Semantic Features Based Lidar Odometry
Lidar odometry (LO) is a key technology in numerous reliable and accurat...
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06/22/2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Deep learning based localization and mapping has recently attracted sign...
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03/12/2020
MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization
Recent learning-based research has achieved impressive results in the fi...
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03/05/2020
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
In this paper, we present a novel end-to-end learning-based LiDAR reloca...
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11/26/2019
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment
Automatic Speech Recognition (ASR) is greatly developed in recent years,...
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11/25/2019
Chinese Spelling Error Detection Using a Fusion Lattice LSTM
Spelling error detection serves as a crucial preprocessing in many natur...
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11/18/2019
Subspace Shapes: Enhancing High-Dimensional Subspace Structures via Ambient Occlusion Shading
We test the hypothesis whether transforming a data matrix into a 3D shad...
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09/08/2019
AtLoc: Attention Guided Camera Localization
Deep learning has achieved impressive results in camera localization, bu...
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08/11/2019
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
Dynamical models estimate and predict the temporal evolution of physical...
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06/23/2019
Optimal Solution Predictions for Mixed Integer Programs
Mixed Integer Programming (MIP) is one of the most widely used modeling ...
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01/06/2018
Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks
Recently, deep learning has achieved very promising results in visual ob...
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09/09/2017
Joint Calibration of Panoramic Camera and Lidar Based on Supervised Learning
In view of contemporary panoramic camera-laser scanner system, the tradi...
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04/20/2016
Scene Parsing with Integration of Parametric and Non-parametric Models
We adopt Convolutional Neural Networks (CNNs) to be our parametric model...
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09/13/2015
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
Existing deep convolutional neural networks (CNNs) have shown their grea...
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09/02/2015
DAG-Recurrent Neural Networks For Scene Labeling
In image labeling, local representations for image units are usually gen...
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01/09/2014