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ORCIDJunwon Choi
Jun-Won Choi – Jun Won Choi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j35]Seok Hwan Lee
, Taein Son, Soo Won Seo, Jisong Kim, Jun Won Choi:
JARViS: Detecting actions in video using unified actor-scene context relation modeling. Neurocomputing 610: 128616 (2024)- [j34]Jae Soon Baik, In Young Yoon, Jun Won Choi:
DBN-Mix: Training dual branch network using bilateral mixup augmentation for long-tailed visual recognition. Pattern Recognit. 147: 110107 (2024) - [j33]Gyuhee Park, Junho Koh, Jisong Kim, Jun Moon, Jun Won Choi:
LiDAR-Based 3D Temporal Object Detection via Motion-Aware LiDAR Feature Fusion. Sensors 24(14): 4667 (2024) - [c73]Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi:
Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection. CVPR Workshops 2024: 8104-8113 - [c72]Geonho Bang, Kwangjin Choi, Jisong Kim, Dongsuk Kum, Jun Won Choi:
RadarDistill: Boosting Radar-Based Object Detection Performance via Knowledge Distillation from LiDAR Features. CVPR 2024: 15491-15500 - [c71]Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi:
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. HPCA 2024: 454-467 - [c70]Konyul Park, Yecheol Kim, Junho Koh, Byungwoo Park, Jun Won Choi:
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection. ICRA 2024: 4259-4265 - [c69]Jisong Kim, Geonho Bang, Kwangjin Choi, Minjae Seong, Jaechang Yoo, Eunjong Pyo, Jun Won Choi:
PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network. ICRA 2024: 9117-9124 - [c68]Jisong Kim, Minjae Seong, Geonho Bang, Dongsuk Kum, Jun Won Choi:
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection. ICRA 2024: 18236-18242 - [i42]Ji Song Kim, Geonho Bang, Kwangjin Choi, Minjae Seong, Jaechang Yoo, Eunjong Pyo, Jun Won Choi:
PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network. CoRR abs/2403.01663 (2024) - [i41]Geonho Bang, Kwangjin Choi, Jisong Kim, Dongsuk Kum, Jun Won Choi:
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features. CoRR abs/2403.05061 (2024) - [i40]Konyul Park, Yecheol Kim, Junho Koh, Byungwoo Park, Jun Won Choi:
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection. CoRR abs/2403.06433 (2024) - [i39]Yecheol Kim, Junho Lee, Changsoo Park, Hyoung won Kim, Inho Lim, Christopher Chang, Jun Won Choi:
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection. CoRR abs/2406.11313 (2024) - [i38]Sehwan Choi, Jungho Kim, Hongjae Shin, Jun Won Choi:
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks. CoRR abs/2407.13517 (2024) - [i37]Jae Soon Baik, In Young Yoon, Kun Hoon Kim, Jun Won Choi:
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels. CoRR abs/2407.16802 (2024) - [i36]Seok Hwan Lee, Taein Son, Soo Won Seo, Jisong Kim, Jun Won Choi:
JARViS: Detecting Actions in Video Using Unified Actor-Scene Context Relation Modeling. CoRR abs/2408.03612 (2024) - [i35]Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi:
Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection. CoRR abs/2408.13798 (2024) - 2023
- [j32]Sanmin Kim, Hyeong-Seok Jeon, Jun Won Choi, Dongsuk Kum:
Diverse Multiple Trajectory Prediction Using a Two-Stage Prediction Network Trained With Lane Loss. IEEE Robotics Autom. Lett. 8(4): 2038-2045 (2023) - [j31]Youngseok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, Dongsuk Kum:
Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision. IEEE Trans. Intell. Transp. Syst. 24(2): 1801-1813 (2023) - [j30]Hyeong-Seok Jeon, Sanmin Kim, Kibeom Lee, Daejun Kang, Junwon Choi, Dongsuk Kum:
Are Reactions to Ego Vehicles Predictable Without Data?: A Semi-Supervised Approach. IEEE Trans. Intell. Transp. Syst. 24(6): 6477-6490 (2023) - [j29]Hyunwoo Park, Jeongwan Kang, Sang-Woo Lee, Jun Won Choi, Sunwoo Kim:
Deep Q-Network Based Beam Tracking for Mobile Millimeter-Wave Communications. IEEE Trans. Wirel. Commun. 22(2): 961-971 (2023) - [c67]Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum:
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. AAAI 2023: 1160-1168 - [c66]Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, Jun Won Choi:
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection. AAAI 2023: 1179-1187 - [c65]Sehwan Choi, Jungho Kim, Junyong Yun, Jun Won Choi:
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement. ICCV 2023: 8491-8501 - [c64]Youngseok Kim, Juyeb Shin, Sanmin Kim, In-Jae Lee, Jun Won Choi, Dongsuk Kum:
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. ICCV 2023: 17569-17580 - [c63]Junhyung Lee, Junho Koh, Youngwoo Lee, Jun Won Choi:
D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence. ICRA 2023: 9238-9244 - [c62]Jae Soon Baik, Kyoung Ok Yang, Jun Won Choi:
Enhancing Prototypical Space for Interpretable Image Classification. ICTC 2023: 1045-1048 - [c61]Yunsik Shin, Chaehyun Lee, Yongho Son, YangGon Kim, Junghee Park, Jun Won Choi:
PIDDNet: RGB-Depth Fusion Network for Real-time Semantic Segmentation. ICTC 2023: 1049-1052 - [c60]Jong Wook Bae, Jungho Kim, Junyong Yun, Changwon Kang, Jeongseon Choi, Chanhyeok Kim, Junho Lee, Jungwook Choi, Jun Won Choi:
SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots. NeurIPS 2023 - [i34]Youngseok Kim, Sanmin Kim, Juyeb Shin, Jun Won Choi, Dongsuk Kum:
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. CoRR abs/2304.00670 (2023) - [i33]Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi:
PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices. CoRR abs/2305.07522 (2023) - [i32]Ji Song Kim, Minjae Seong, Geonho Bang, Dongsuk Kum, Jun Won Choi:
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection. CoRR abs/2307.10249 (2023) - [i31]Kyoung Ok Yang, Junho Koh, Jun Won Choi:
Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition. CoRR abs/2309.05032 (2023) - 2022
- [c59]Junho Koh, Jaekyum Kim, Jin Hyeok Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi:
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. AAAI 2022: 1210-1218 - [c58]Jae Soon Baik, In Young Yoon, Jun Won Choi:
ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-ensemble for Active Learning. ACCV (6) 2022: 493-509 - [i30]Sanmin Kim, Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum:
Improving Diversity of Multiple Trajectory Prediction based on Map-adaptive Lane Loss. CoRR abs/2206.08641 (2022) - [i29]Jae Soon Baik, In Young Yoon, Jun Won Choi:
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition. CoRR abs/2207.02173 (2022) - [i28]Jae Soon Baik, In Young Yoon, Jun Won Choi:
ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-Ensemble for Active Learning. CoRR abs/2207.02182 (2022) - [i27]Jun Ho Lee, Jae Soon Baik, Tae Hwan Hwang, Jun Won Choi:
Learning from Data with Noisy Labels Using Temporal Self-Ensemble. CoRR abs/2207.10354 (2022) - [i26]Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum:
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. CoRR abs/2209.06535 (2022) - [i25]Junhyung Lee, Junho Koh, Youngwoo Lee, Jun Won Choi:
D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence. CoRR abs/2210.00087 (2022) - [i24]Youngseok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, Dongsuk Kum:
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision. CoRR abs/2210.16574 (2022) - [i23]Sehwan Choi, Jungho Kim, Junyong Yun, Jun Won Choi:
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement. CoRR abs/2211.08609 (2022) - [i22]Yecheol Kim, Konyul Park, Minwook Kim, Dongsuk Kum, Jun Won Choi:
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection. CoRR abs/2211.13529 (2022) - [i21]Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, Jun Won Choi:
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection. CoRR abs/2212.00442 (2022) - 2021
- [j28]Jangho Kwon, Jihyeon Ha, Da-Hye Kim, Jun Won Choi, Laehyun Kim:
Emotion Recognition Using a Glasses-Type Wearable Device via Multi-Channel Facial Responses. IEEE Access 9: 146392-146403 (2021) - [j27]Sun Hong Lim, Sunwoo Kim, Byonghyo Shim, Jun Won Choi:
Deep Learning-Based Beam Tracking for Millimeter-Wave Communications Under Mobility. IEEE Trans. Commun. 69(11): 7458-7469 (2021) - [c57]Byeoungdo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi:
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. CVPR 2021: 14636-14645 - [c56]Junho Koh, Jaekyum Kim, Younji Shin, Byeongwon Lee, Seungji Yang, Jun Won Choi:
Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection. ICRA 2021: 13370-13376 - [i20]Sun Hong Lim, Sunwoo Kim, Byonghyo Shim, Jun Won Choi:
Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility. CoRR abs/2102.09785 (2021) - [i19]Byeoungdo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi:
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. CoRR abs/2104.00249 (2021) - [i18]Junho Koh, Jaekyum Kim, Jinhyuk Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi:
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. CoRR abs/2112.07116 (2021) - 2020
- [j26]Sun Hong Lim, Sunwoo Kim, Byonghyo Shim, Jun Won Choi:
Efficient Beam Training and Sparse Channel Estimation for Millimeter Wave Communications Under Mobility. IEEE Trans. Commun. 68(10): 6583-6596 (2020) - [j25]Jin Hyeok Yoo, Sun Hong Lim, Byonghyo Shim, Jun Won Choi:
Estimation of Dynamically Varying Support of Sparse Signals via Sequential Monte-Carlo Method. IEEE Trans. Signal Process. 68: 4135-4147 (2020) - [j24]Seungnyun Kim, Jun Won Choi, Byonghyo Shim:
Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems. IEEE Trans. Wirel. Commun. 19(6): 3658-3672 (2020) - [c55]Boyeal Kim, Sang Hyun Lee, Hyun Kim, Duy Thanh Nguyen, Minh-Son Le, Ik Joon Chang, Dohun Kwon, Jin Hyeok Yoo, Jun Won Choi, Hyuk-Jae Lee:
PCM: Precision-Controlled Memory System for Energy Efficient Deep Neural Network Training. DATE 2020: 1199-1204 - [c54]Jin Hyeok Yoo, Yecheol Kim, Ji Song Kim, Jun Won Choi:
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-view Spatial Feature Fusion for 3D Object Detection. ECCV (27) 2020: 720-736 - [c53]Jaekyum Kim, Junho Koh, Byeongwon Lee, Seungji Yang, Jun Won Choi:
Video Object Detection Using Object's Motion Context and Spatio-Temporal Feature Aggregation. ICPR 2020: 1604-1610 - [c52]Jin Hyeok Yoo, Dongsuk Kum, Jun Won Choi:
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection. ICPR 2020: 4505-4512 - [c51]Jaekyum Kim, Junho Koh, Jun Won Choi:
Video Object Detection Using Motion Context and Feature Aggregation. ICTC 2020: 269-272 - [c50]Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum:
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network. IROS 2020: 2095-2102 - [c49]Youngseok Kim, Junwon Choi, Dongsuk Kum:
GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image. IROS 2020: 10857-10864 - [c48]Sanmin Kim, Dongsuk Kum, Junwon Choi:
RECUP Net: RECUrsive Prediction Network for Surrounding Vehicle Trajectory Prediction with Future Trajectory Feedback. ITSC 2020: 1-6 - [i17]Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum:
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network. CoRR abs/2002.12609 (2020) - [i16]Jin Hyeok Yoo, Yecheol Kim, Ji Song Kim, Jun Won Choi:
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection. CoRR abs/2004.12636 (2020) - [i15]Junho Koh, Jaekyum Kim, Younji Shin, Byeongwon Lee, Seungji Yang, Jun Won Choi:
Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection. CoRR abs/2011.10278 (2020)
2010 – 2019
- 2019
- [j23]Seung-Hyun Kong, Yisheng Lv, Hai Le Vu, Juan-Carlos Cano, Jun-Won Choi, Dongsuk Kum, Brendan Tran Morris:
Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies. IEEE Trans. Intell. Transp. Syst. 20(10): 3765-3770 (2019) - [j22]Syed Ali Irtaza, Sun Hong Lim, Jun Won Choi:
Greedy Data-Aided Active User Detection for Massive Machine Type Communications. IEEE Wirel. Commun. Lett. 8(4): 1224-1227 (2019) - [c47]Seungnyun Kim, Jun Won Choi, Byonghyo Shim:
Feedback Reduction for Beyond 5G Cellular Systems. ICC 2019: 1-6 - [c46]Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong:
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. ICCV Workshops 2019: 213-226 - [c45]Junho Lee, Jun Won Choi:
May I Cut Into Your Lane?: A Policy Network to Learn Interactive Lane Change Behavior for Autonomous Driving. ITSC 2019: 4342-4347 - [c44]Yecheol Kim, Jaekyum Kim, Junho Koh, Jun Won Choi:
Enhanced Object Detection in Bird's Eye View Using 3D Global Context Inferred From Lidar Point Data. IV 2019: 2516-2521 - [c43]Seungnyun Kim, Jun Won Choi, Byonghyo Shim:
Path Selection Based Feedback Reduction for FDD Massive MIMO Systems. WCNC 2019: 1-6 - [i14]Jin Hyeok Yoo, SeongHyeon Park, Jun Won Choi:
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection. CoRR abs/1908.00328 (2019) - [i13]Seungnyun Kim, Jun Won Choi, Byonghyo Shim:
Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems. CoRR abs/1909.07117 (2019) - 2018
- [c42]Jaekyum Kim, Junho Koh, Yecheol Kim, Jaehyung Choi, Youngbae Hwang, Jun Won Choi:
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network. ACCV (4) 2018: 90-106 - [c41]Sun Hong Lim, Jin Hyeok Yoo, Sunwoo Kim, Jun Won Choi:
Greedy Recovery of Sparse Signals with Dynamically Varying Support. EUSIPCO 2018: 578-582 - [c40]Jisu Bae, Sun Hong Lim, Jin Hyeok Yoo, Jun Won Choi, Byonghyo Shim:
Dedicated Beam-based Channel Training Technique for Millimeter Wave Communications with high Mobility. EUSIPCO 2018: 1830-1834 - [c39]Jaekyum Kim, Jaehyung Choi, Yecheol Kim, Junho Koh, Chung Choo Chung, Jun Won Choi:
Robust Camera Lidar Sensor Fusion Via Deep Gated Information Fusion Network. Intelligent Vehicles Symposium 2018: 1620-1625 - [c38]SeongHyeon Park, Byeongdo Kim, Chang Mook Kang, Chung Choo Chung, Jun Won Choi:
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture. Intelligent Vehicles Symposium 2018: 1672-1678 - [c37]Sun Hong Lim, Jun Won Choi, Byonghyo Shim:
Greedy Sparse Channel Estimation for Millimeter Wave Communications. TENCON 2018: 1628-1632 - [i12]SeongHyeon Park, Byeongdo Kim, Chang Mook Kang, Chung Choo Chung, Jun Won Choi:
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture. CoRR abs/1802.06338 (2018) - [i11]Sun Hong Lim, Jisu Bae, Sunwoo Kim, Byonghyo Shim, Jun Won Choi:
Efficient Beam Training and Channel Estimation for Millimeter Wave Communications Under Mobility. CoRR abs/1804.07973 (2018) - [i10]Jaekyum Kim, Junho Koh, Yecheol Kim, Jaehyung Choi, Youngbae Hwang, Jun Won Choi:
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network. CoRR abs/1807.06233 (2018) - 2017
- [j21]Jun Won Choi, Byonghyo Shim, Yacong Ding, Bhaskar Rao, Dong In Kim:
Compressed Sensing for Wireless Communications: Useful Tips and Tricks. IEEE Commun. Surv. Tutorials 19(3): 1527-1550 (2017) - [j20]Ik Joon Chang, Sang Yoon Park, Jun Won Choi:
Design of Low-Power Voltage Scalable Arithmetic Units with Perfect Timing Error Cancelation. Circuits Syst. Signal Process. 36(11): 4309-4325 (2017) - [j19]Jung Hwan Lee, Jaekyum Kim, Byeoungdo Kim, Dongweon Yoon, Jun Won Choi:
Robust Automatic Modulation Classification Technique for Fading Channels via Deep Neural Network. Entropy 19(9): 454 (2017) - [j18]Suhanya Jayaprakasam, Xiaoxue Ma, Jun Won Choi, Sunwoo Kim:
Robust Beam-Tracking for mmWave Mobile Communications. IEEE Commun. Lett. 21(12): 2654-2657 (2017) - [j17]Sunho Park, Jun Won Choi, Ji-Yun Seol, Byonghyo Shim:
Expectation-Maximization-Based Channel Estimation for Multiuser MIMO Systems. IEEE Trans. Commun. 65(6): 2397-2410 (2017) - [j16]Seok-Ho Chang, Hee-Gul Park, Jun Won Choi, Jihwan P. Choi:
Scalable Source Transmission With Unequal Frequency Reuse in MIMO Cellular Networks. IEEE Trans. Commun. 65(10): 4188-4204 (2017) - [j15]Jun Won Choi, Byonghyo Shim:
Detection of Large-Scale Wireless Systems via Sparse Error Recovery. IEEE Trans. Signal Process. 65(22): 6038-6052 (2017) - [c36]Hyoungju Ji, Byonghyo Shim, Jun Won Choi:
Channel sparsification beamforming for internet-of-things systems. ICC 2017: 1-5 - [c35]Jin Hyeok Yoo, Jisu Bae, Sun Hong Lim, Sunwoo Kim, Jun Won Choi, Byonghyo Shim:
Sampling-based tracking of time-varying channels for millimeter wave-band communications. ICC 2017: 1-6 - [c34]Hyoungju Ji, Jun Won Choi, Byonghyo Shim:
Pilot beamforming for massive machine type communication systems. ICCC 2017: 1-5 - [c33]Seongjin Ahn, Jaeyoon Lee, Dongweon Yoon, Jun Won Choi:
Enhanced modulation classification algorithm based on Kolmogorov-Smirnov test. ICTC 2017: 232-234 - [c32]Jung Hwan Lee, Byeoungdo Kim, Jaekyum Kim, Dongweon Yoon, Jun Won Choi:
Deep neural network-based blind modulation classification for fading channels. ICTC 2017: 551-554 - [c31]Hyunmin Chae, Chang Mook Kang, Byeoungdo Kim, Jaekyum Kim, Chung Choo Chung, Jun Won Choi:
Autonomous braking system via deep reinforcement learning. ITSC 2017: 1-6 - [c30]Byeoungdo Kim, Chang Mook Kang, Jaekyum Kim, Seung-Hi Lee, Chung Choo Chung, Jun Won Choi:
Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network. ITSC 2017: 399-404 - [c29]Suhanya Jayaprakasam, Kyusic Kang, Jun Won Choi, Sunwoo Kim:
On the opportunistic location-aware transmission power adaptation in mm-wave communications. SPAWC 2017: 1-5 - [i9]Jisu Bae, Sun Hong Lim, Jin Hyeok Yoo, Jun Won Choi:
New Beam Tracking Technique for Millimeter Wave-band Communications. CoRR abs/1702.00276 (2017) - [i8]Hyunmin Chae, Chang Mook Kang, Byeoungdo Kim, Jaekyum Kim, Chung Choo Chung, Jun Won Choi:
Autonomous Braking System via Deep Reinforcement Learning. CoRR abs/1702.02302 (2017) - [i7]Byeoungdo Kim, Chang Mook Kang, Seung-Hi Lee, Hyunmin Chae, Jaekyum Kim, Chung Choo Chung, Jun Won Choi:
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network. CoRR abs/1704.07049 (2017) - 2016
- [j14]Jaeseok Lee, Jun Won Choi, Byonghyo Shim:
Sparse signal recovery via tree search matching pursuit. J. Commun. Networks 18(5): 699-712 (2016) - [c28]Jin Hyeok Yoo, Ali Irtaza Sayed, Jun Won Choi, Byonghyo Shim:
Kalman-based time-varying sparse channel estimation. ICCS 2016: 1-5 - [c27]Byeoungdo Kim, Jaekyum Kim, Hyunmin Chae, Dongweon Yoon, Jun Won Choi:
Deep neural network-based automatic modulation classification technique. ICTC 2016: 579-582 - [c26]Seok-Ho Chang, Meesue Shin, Jihwan P. Choi, Jun Won Choi:
Full and partial frequency reuses for the layered bitstream transmission. ITA 2016: 1-4 - [c25]Soonwon Ka, Tae-Hyun Kim, Jae Yeol Ha, Sun Hong Lim, Su Cheol Shin, Jun Won Choi, Chulyoung Kwak, Sunghyun Choi:
Near-ultrasound communication for TV's 2nd screen services. MobiCom 2016: 42-54 - [c24]Sunho Park, Jun Won Choi, Ji-Yun Seol, Byonghyo Shim:
Virtual Pilot-Based Channel Estimation and Multiuser Detection for Multiuser MIMO in LTE-Advanced. VTC Fall 2016: 1-5 - 2015
- [j13]Jun Won Choi, Byonghyo Shim, Seok-Ho Chang:
Downlink Pilot Reduction for Massive MIMO Systems via Compressed Sensing. IEEE Commun. Lett. 19(11): 1889-1892 (2015) - [j12]Jun Won Choi, Byungju Lee, Byonghyo Shim:
Iterative group detection and decoding for large MIMO systems. J. Commun. Networks 17(6): 609-621 (2015) - [j11]Sunho Park, Byonghyo Shim, Jun Won Choi:
Iterative Channel Estimation Using Virtual Pilot Signals for MIMO-OFDM Systems. IEEE Trans. Signal Process. 63(12): 3032-3045 (2015) - [j10]Jun Won Choi, Byonghyo Shim:
Statistical Recovery of Simultaneously Sparse Time-Varying Signals From Multiple Measurement Vectors. IEEE Trans. Signal Process. 63(22): 6136-6148 (2015) - [c23]Hyewon Lee, Tae Hyun Kim, Jun Won Choi, Sunghyun Choi:
Chirp signal-based aerial acoustic communication for smart devices. INFOCOM 2015: 2407-2415 - [c22]Jun Won Choi, Byonghyo Shim:
Compressive sensing based pilot reduction technique for massive MIMO systems. ITA 2015: 115-118 - [c21]Sunho Park, Jun Won Choi, Keonkook Lee, Byonghyo Shim:
Soft decision-directed channel estimation for multiuser MIMO systems. PIMRC 2015: 95-99 - [i6]Jun Won Choi, Byonghyo Shim, Yacong Ding, Bhaskar Rao, Dong In Kim:
Compressed Sensing for Wireless Communications : A Few Tips and Tricks. CoRR abs/1511.08746 (2015) - [i5]Jun Won Choi, Byonghyo Shim:
Sparse Detection of Non-Sparse Signals for Large-Scale Wireless Systems. CoRR abs/1512.01683 (2015) - 2014
- [j9]Kyeongyeon Kim, Jun Won Choi, Suleyman Serdar Kozat, Andrew C. Singer:
Low Complexity Turbo-Equalization: A Clustering Approach. IEEE Commun. Lett. 18(6): 1063-1066 (2014) - [c20]Jun Won Choi, Byonghyo Shim:
New approach for massive MIMO detection using sparse error recovery. GLOBECOM 2014: 3754-3759 - [c19]Sunho Park, Jun Won Choi, Ji-Yun Seol, Byonghyo Shim:
Virtual pilot signal for massive MIMO-OFDM systems. ITA 2014: 1-4 - [i4]Jaeseok Lee, Suhyuk Kwon, Jun Won Choi, Byonghyo Shim:
Greedy Sparse Signal Recovery with Tree Pruning. CoRR abs/1409.5606 (2014) - [i3]Jun Won Choi, Byonghyo Shim:
Statistical Estimation of Block-Sparse Time-Varying Signals from Multiple Measurement Vectors. CoRR abs/1411.5187 (2014) - 2013
- [c18]Jun Won Choi, Byungju Lee, Byonghyo Shim, Insung Kang:
Low complexity soft-input soft-output group detection for massive MIMO systems. ICC 2013: 4792-4796 - [c17]Jun Won Choi, Byungju Lee, Byonghyo Shim, Insung Kang:
Low complexity detection and precoding for massive MIMO systems. WCNC 2013: 2857-2861 - 2012
- [j8]Jun Won Choi, Byonghyo Shim, Andrew C. Singer:
Efficient Soft-Input Soft-Output Tree Detection via an Improved Path Metric. IEEE Trans. Inf. Theory 58(3): 1518-1533 (2012) - [j7]Byonghyo Shim, Jun Won Choi, Insung Kang:
Towards the Performance of ML and the Complexity of MMSE: A Hybrid Approach for Multiuser Detection. IEEE Trans. Wirel. Commun. 11(7): 2508-2519 (2012) - [i2]Kyeongyeon Kim, Jun Won Choi, Suleyman Serdar Kozat, Andrew C. Singer:
Low Complexity Turbo-Equalization: A Clustering Approach. CoRR abs/1203.4206 (2012) - 2011
- [j6]Hong Wan, Rong-Rong Chen, Jun Won Choi, Andrew C. Singer, James C. Preisig, Behrouz Farhang-Boroujeny:
Markov Chain Monte Carlo Detection for Frequency-Selective Channels Using List Channel Estimates. IEEE J. Sel. Top. Signal Process. 5(8): 1537-1547 (2011) - [i1]Jun Won Choi, Byonghyo Shim, Andrew C. Singer:
Efficient Soft-Input Soft-Output Tree Detection Via an Improved Path Metric. CoRR abs/1105.1482 (2011) - 2010
- [b1]Jun Won Choi:
Digital communication receiver algorithms and architectures for reduced complexity and high throughput. University of Illinois Urbana-Champaign, USA, 2010 - [j5]Jun Won Choi, Andrew C. Singer, Jungwoo Lee, Nam Ik Cho:
Improved linear soft-input soft-output detection via soft feedback successive interference cancellation. IEEE Trans. Commun. 58(3): 986-996 (2010) - [j4]Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam Ik Cho:
Low-complexity decoding via reduced dimension maximum-likelihood search. IEEE Trans. Signal Process. 58(3): 1780-1793 (2010) - [c16]Hong Wan, Rong-Rong Chen, Jun Won Choi, James C. Preisig, Behrouz Farhang-Boroujeny:
Markov Chain Monte Carlo detection over time-varying frequency-selective channels. Allerton 2010: 502-506 - [c15]Hong Wan, Rong-Rong Chen, Jun Won Choi, Andrew C. Singer, James C. Preisig, Behrouz Farhang-Boroujeny:
Stochastic Expectation Maximization Algorithm for Long-Memory Fast-Fading Channels. GLOBECOM 2010: 1-5 - [c14]Thomas J. Riedl, Andrew C. Singer, Jun Won Choi:
Learning in Gaussian Markov random fields. ICASSP 2010: 3070-3073 - [c13]Kyeongyeon Kim, Jun Won Choi, Andrew C. Singer, Kyungtae Kim:
A new adaptive turbo equalizer with soft information classification. ICASSP 2010: 3206-3209 - [c12]Jun Won Choi, Byonghyo Shim, Jil Karen K. Nelson, Andrew C. Singer:
Efficient Soft-Input Soft-Output MIMO Detection via Improved M-Algorithm. ICC 2010: 1-5 - [c11]Jun Won Choi, Byonghyo Shim, Andrew C. Singer:
Linear estimate-based look-ahead path metric for efficient soft-input soft-output tree detection. ISIT 2010: 804-808 - [c10]Jun Won Choi, Thomas J. Riedl, Kyeongyeon Kim, Andrew C. Singer, James C. Preisig:
Practical application of turbo equalization to underwater acoustic communications. ISWCS 2010: 601-605 - [c9]Hong Wan, Rong-Rong Chen, Jun Won Choi, Andrew C. Singer, James C. Preisig, Behrouz Farhang-Boroujeny:
Markov Chain Monte Carlo detection for underwater acoustic channels. ITA 2010: 44-48 - [c8]Jun Won Choi, Byonghyo Shim, Andrew C. Singer:
On the improved path metric for soft-input soft-output tree detection. ITA 2010: 59-63 - [c7]Andrew C. Singer, Andrew J. Bean, Jun Won Choi:
Mutual information and time-interleaved analog-to-digital conversion. ITA 2010: 448-452
2000 – 2009
- 2009
- [c6]Jun Won Choi, Byonghyo Shim, Andrew C. Singer:
Near-ML Detection over a Reduced Dimension Hypersphere. GLOBECOM 2009: 1-6 - 2008
- [j3]Junwon Choi, Kyung-won Yang, Tai-yong Lee, Sang Yup Lee:
New time-scale criteria for model simplification of bio-reaction systems. BMC Bioinform. 9 (2008) - [c5]Byonghyo Shim, Jun Won Choi, Insung Kang:
Towards the Performance of ML and the Complexity of MMSE - A Hybrid Approach. GLOBECOM 2008: 3453-3457 - [c4]Jun Won Choi, Andrew C. Singer, Jungwoo Lee, Nam Ik Cho:
An improved soft feedback V-Blast detection technique for TURBO-MIMO systems. ICASSP 2008: 3181-3184 - 2007
- [j2]Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam Ik Cho:
Low-Power Filtering Via Minimum Power Soft Error Cancellation. IEEE Trans. Signal Process. 55(10): 5084-5096 (2007) - 2006
- [c3]Jun Won Choi, Andrew C. Singer, Nam Ik Cho:
Low-Power Adaptive FIR Equalizer Via Soft Error Cancellation. ICASSP (4) 2006: 433-436 - 2005
- [c2]Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam Ik Cho:
Energy-efficient digital filtering using ML-based error correction (ML-EC) technique. ICASSP (4) 2005: 733-736 - 2002
- [j1]Jun Won Choi, Nam Ik Cho:
Suppression of narrow-band interference in DS-spread spectrum systems using adaptive IIR notch filter. Signal Process. 82(12): 2003-2013 (2002) - 2001
- [c1]Jun Won Choi, Nam Ik Cho:
Narrow-band interference suppression in direct sequence spread spectrum systems using a lattice IIR notch filter. ICASSP 2001: 2237-2240
Coauthor Index
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