Junwon Choi

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
DBN-Mix: Training dual branch network using bilateral mixup augmentation for long-tailed visual recognition.
Pattern Recognit., March, 2024

Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection.
CoRR, 2024

RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features.
CoRR, 2024

PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network.
CoRR, 2024

SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023
Are Reactions to Ego Vehicles Predictable Without Data?: A Semi-Supervised Approach.
IEEE Trans. Intell. Transp. Syst., June, 2023

Diverse Multiple Trajectory Prediction Using a Two-Stage Prediction Network Trained With Lane Loss.
IEEE Robotics Autom. Lett., April, 2023

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision.
IEEE Trans. Intell. Transp. Syst., February, 2023

Deep Q-Network Based Beam Tracking for Mobile Millimeter-Wave Communications.
IEEE Trans. Wirel. Commun., 2023

Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition.
CoRR, 2023

RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection.
CoRR, 2023

PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices.
CoRR, 2023

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception.
CoRR, 2023

SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PIDDNet: RGB-Depth Fusion Network for Real-time Semantic Segmentation.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Enhancing Prototypical Space for Interpretable Image Classification.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection.
CoRR, 2022

Learning from Data with Noisy Labels Using Temporal Self-Ensemble.
CoRR, 2022

Improving Diversity of Multiple Trajectory Prediction based on Map-adaptive Lane Loss.
CoRR, 2022

ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-ensemble for Active Learning.
Proceedings of the Computer Vision - ACCV 2022, 2022

Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Deep Learning-Based Beam Tracking for Millimeter-Wave Communications Under Mobility.
IEEE Trans. Commun., 2021

Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds.
CoRR, 2021

Emotion Recognition Using a Glasses-Type Wearable Device via Multi-Channel Facial Responses.
IEEE Access, 2021

Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems.
IEEE Trans. Wirel. Commun., 2020

Estimation of Dynamically Varying Support of Sparse Signals via Sequential Monte-Carlo Method.
IEEE Trans. Signal Process., 2020

Efficient Beam Training and Sparse Channel Estimation for Millimeter Wave Communications Under Mobility.
IEEE Trans. Commun., 2020

RECUP Net: RECUrsive Prediction Network for Surrounding Vehicle Trajectory Prediction with Future Trajectory Feedback.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Video Object Detection Using Motion Context and Feature Aggregation.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Video Object Detection Using Object's Motion Context and Spatio-Temporal Feature Aggregation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-view Spatial Feature Fusion for 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

PCM: Precision-Controlled Memory System for Energy Efficient Deep Neural Network Training.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Greedy Data-Aided Active User Detection for Massive Machine Type Communications.
IEEE Wirel. Commun. Lett., 2019

Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies.
IEEE Trans. Intell. Transp. Syst., 2019

ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection.
CoRR, 2019

Path Selection Based Feedback Reduction for FDD Massive MIMO Systems.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Enhanced Object Detection in Bird's Eye View Using 3D Global Context Inferred From Lidar Point Data.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

May I Cut Into Your Lane?: A Policy Network to Learn Interactive Lane Change Behavior for Autonomous Driving.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Feedback Reduction for Beyond 5G Cellular Systems.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Efficient Beam Training and Channel Estimation for Millimeter Wave Communications Under Mobility.
CoRR, 2018

Greedy Sparse Channel Estimation for Millimeter Wave Communications.
Proceedings of the TENCON 2018, 2018

Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Robust Camera Lidar Sensor Fusion Via Deep Gated Information Fusion Network.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Greedy Recovery of Sparse Signals with Dynamically Varying Support.
Proceedings of the 26th European Signal Processing Conference, 2018

Dedicated Beam-based Channel Training Technique for Millimeter Wave Communications with high Mobility.
Proceedings of the 26th European Signal Processing Conference, 2018

Robust Deep Multi-modal Learning Based on Gated Information Fusion Network.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Detection of Large-Scale Wireless Systems via Sparse Error Recovery.
IEEE Trans. Signal Process., 2017

Expectation-Maximization-Based Channel Estimation for Multiuser MIMO Systems.
IEEE Trans. Commun., 2017

Scalable Source Transmission With Unequal Frequency Reuse in MIMO Cellular Networks.
IEEE Trans. Commun., 2017

Robust Beam-Tracking for mmWave Mobile Communications.
IEEE Commun. Lett., 2017

Robust Automatic Modulation Classification Technique for Fading Channels via Deep Neural Network.
Entropy, 2017

Design of Low-Power Voltage Scalable Arithmetic Units with Perfect Timing Error Cancelation.
Circuits Syst. Signal Process., 2017

Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network.
CoRR, 2017

New Beam Tracking Technique for Millimeter Wave-band Communications.
CoRR, 2017

Compressed Sensing for Wireless Communications: Useful Tips and Tricks.
IEEE Commun. Surv. Tutorials, 2017

On the opportunistic location-aware transmission power adaptation in mm-wave communications.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Autonomous braking system via deep reinforcement learning.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Deep neural network-based blind modulation classification for fading channels.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017

Enhanced modulation classification algorithm based on Kolmogorov-Smirnov test.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017

Pilot beamforming for massive machine type communication systems.
Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

Sampling-based tracking of time-varying channels for millimeter wave-band communications.
Proceedings of the IEEE International Conference on Communications, 2017

Channel sparsification beamforming for internet-of-things systems.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Sparse signal recovery via tree search matching pursuit.
J. Commun. Networks, 2016

Virtual Pilot-Based Channel Estimation and Multiuser Detection for Multiuser MIMO in LTE-Advanced.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

Near-ultrasound communication for TV's 2nd screen services.
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016

Full and partial frequency reuses for the layered bitstream transmission.
Proceedings of the 2016 Information Theory and Applications Workshop, 2016

Deep neural network-based automatic modulation classification technique.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2016

Kalman-based time-varying sparse channel estimation.
Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016

2015
Iterative Channel Estimation Using Virtual Pilot Signals for MIMO-OFDM Systems.
IEEE Trans. Signal Process., 2015

Statistical Recovery of Simultaneously Sparse Time-Varying Signals From Multiple Measurement Vectors.
IEEE Trans. Signal Process., 2015

Iterative group detection and decoding for large MIMO systems.
J. Commun. Networks, 2015

Downlink Pilot Reduction for Massive MIMO Systems via Compressed Sensing.
IEEE Commun. Lett., 2015

Compressed Sensing for Wireless Communications : A Few Tips and Tricks.
CoRR, 2015

Sparse Detection of Non-Sparse Signals for Large-Scale Wireless Systems.
CoRR, 2015

Soft decision-directed channel estimation for multiuser MIMO systems.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015

Compressive sensing based pilot reduction technique for massive MIMO systems.
Proceedings of the 2015 Information Theory and Applications Workshop, 2015

Chirp signal-based aerial acoustic communication for smart devices.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2014
Low Complexity Turbo-Equalization: A Clustering Approach.
IEEE Commun. Lett., 2014

Greedy Sparse Signal Recovery with Tree Pruning.
CoRR, 2014

Statistical Estimation of Block-Sparse Time-Varying Signals from Multiple Measurement Vectors.
CoRR, 2014

Virtual pilot signal for massive MIMO-OFDM systems.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014

New approach for massive MIMO detection using sparse error recovery.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Low complexity detection and precoding for massive MIMO systems.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Low complexity soft-input soft-output group detection for massive MIMO systems.
Proceedings of IEEE International Conference on Communications, 2013

2012
Towards the Performance of ML and the Complexity of MMSE: A Hybrid Approach for Multiuser Detection.
IEEE Trans. Wirel. Commun., 2012

Efficient Soft-Input Soft-Output Tree Detection via an Improved Path Metric.
IEEE Trans. Inf. Theory, 2012

2011
Markov Chain Monte Carlo Detection for Frequency-Selective Channels Using List Channel Estimates.
IEEE J. Sel. Top. Signal Process., 2011

2010
Digital communication receiver algorithms and architectures for reduced complexity and high throughput
PhD thesis, 2010

Low-complexity decoding via reduced dimension maximum-likelihood search.
IEEE Trans. Signal Process., 2010

Improved linear soft-input soft-output detection via soft feedback successive interference cancellation.
IEEE Trans. Commun., 2010

Markov Chain Monte Carlo detection for underwater acoustic channels.
Proceedings of the Information Theory and Applications Workshop, 2010

Mutual information and time-interleaved analog-to-digital conversion.
Proceedings of the Information Theory and Applications Workshop, 2010

On the improved path metric for soft-input soft-output tree detection.
Proceedings of the Information Theory and Applications Workshop, 2010

Practical application of turbo equalization to underwater acoustic communications.
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

Linear estimate-based look-ahead path metric for efficient soft-input soft-output tree detection.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Efficient Soft-Input Soft-Output MIMO Detection via Improved M-Algorithm.
Proceedings of IEEE International Conference on Communications, 2010

Learning in Gaussian Markov random fields.
Proceedings of the IEEE International Conference on Acoustics, 2010

A new adaptive turbo equalizer with soft information classification.
Proceedings of the IEEE International Conference on Acoustics, 2010

Stochastic Expectation Maximization Algorithm for Long-Memory Fast-Fading Channels.
Proceedings of the Global Communications Conference, 2010

Markov Chain Monte Carlo detection over time-varying frequency-selective channels.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Near-ML Detection over a Reduced Dimension Hypersphere.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008
New time-scale criteria for model simplification of bio-reaction systems.
BMC Bioinform., 2008

An improved soft feedback V-Blast detection technique for TURBO-MIMO systems.
Proceedings of the IEEE International Conference on Acoustics, 2008

Towards the Performance of ML and the Complexity of MMSE - A Hybrid Approach.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

2007
Low-Power Filtering Via Minimum Power Soft Error Cancellation.
IEEE Trans. Signal Process., 2007

2006
Low-Power Adaptive FIR Equalizer Via Soft Error Cancellation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Energy-efficient digital filtering using ML-based error correction (ML-EC) technique.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2002
Suppression of narrow-band interference in DS-spread spectrum systems using adaptive IIR notch filter.
Signal Process., 2002

2001
Narrow-band interference suppression in direct sequence spread spectrum systems using a lattice IIR notch filter.
Proceedings of the IEEE International Conference on Acoustics, 2001


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