Yeong-Jun Cho

36 papers A* 2A 1Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
DANCE: Density-agnostic and Class-aware Network for Point Cloud Completion.
AAAI
Da-Yeong Kim, Yeong-Jun Cho
2026 J jnl
DroneKey++: A Size Prior-free Method and New Benchmark for Drone 3D Pose Estimation from Sequential Images.
CoRR
Seo-Bin Hwang, Yeong-Jun Cho
2026 J jnl
Object re-identification via spatial-temporal fusion networks and causal identity matching.
Comput. Vis. Image Underst.
Hye-Geun Kim, Yong-Hyuk Moon, Yeong-Jun Cho
2026 J jnl
RS-Net: Context-aware relation scoring for dynamic scene graph generation.
Pattern Recognit.
Hae-Won Joe, Yeong-Jun Cho
2025 J jnl
CSF-Net: Context-Semantic Fusion Network for Large Mask Inpainting.
CoRR
Chae-Yeon Heo, Yeong-Jun Cho
2025 J jnl
DANCE: Density-agnostic and Class-aware Network for Point Cloud Completion.
CoRR
Da-Yeong Kim, Yeong-Jun Cho
2025 A conf
DroneKey: Drone 3D Pose Estimation in Image Sequences using Gated Key-representation and Pose-adaptive Learning.
IROS
Seo-Bin Hwang, Yeong-Jun Cho
2025 J jnl
DroneKey: Drone 3D Pose Estimation in Image Sequences using Gated Key-representation and Pose-adaptive Learning.
CoRR
Seo-Bin Hwang, Yeong-Jun Cho
2025 J jnl
Med-SORA: Symptom to Organ Reasoning in Abdomen CT Images.
CoRR
YouKyoung Na, Yeong-Jun Cho
2025 J jnl
NOVO: Bridging LLaVA and SAM with Visual-only Prompts for Reasoning Segmentation.
CoRR
Kyung-Yoon Yoon, Yeong-Jun Cho
2025 J jnl
PointCubeNet: 3D Part-level Reasoning with 3x3x3 Point Cloud Blocks.
CoRR
Da-Yeong Kim, Yeong-Jun Cho
2025 J jnl
RS-Net: Context-Aware Relation Scoring for Dynamic Scene Graph Generation.
CoRR
Hae-Won Joe, Yeong-Jun Cho
2025 J jnl
Single-Camera-Based 3D Drone Trajectory Reconstruction for Surveillance Systems.
IEEE Access
Seo-Bin Hwang, Yeong-Jun Cho
2025 J jnl
Time-series-decomposition model combined with pre-trained LSTM: real-time prediction of dissolved oxygen concentration suitable for automated aquaculture feeding system.
Int. J. Data Sci. Anal.
Woojae Kim, Myoungjae Jun, Yeong-Jun Cho, Hieyong Jeong
2024 J jnl
Flatfish Disease Detection Based on Part Segmentation Approach and Disease Image Generation.
CoRR
Seo-Bin Hwang, Han-Young Kim, Chae-Yeon Heo, Hie-Yong Jung, Sung-Ju Jung, Yeong-Jun Cho
2024 — conf
Missing Person Recognition Algorithms Based on Image Captioning and Visual Grounding.
ICPR (33)
Ayeong Jeong, Yeongju Woo, Han-Young Kim, Gayun Suh, Chae-Yeon Heo, Yeong-Jun Cho, Hieyong Jeong
2024 J jnl
Object Re-identification via Spatial-temporal Fusion Networks and Causal Identity Matching.
CoRR
Hye-Geun Kim, Yong-Hyuk Moon, Yeong-Jun Cho
2024 — conf
Re-Identification Based on the Spatial-Temporal Fusion Network.
ICPR (20)
Hye-Geun Kim, YouKyoung Na, Hae-Won Joe, Yong-Hyuk Moon, Yeong-Jun Cho
2024 J jnl
Weighted Intersection over Union (wIoU) for evaluating image segmentation.
Pattern Recognit. Lett.
Yeong-Jun Cho
2023 J jnl
Analysis of Training Deep Learning Models for PCB Defect Detection.
Sensors
Joon-Hyung Park, Yeong-Seok Kim, Hwi Seo, Yeong-Jun Cho
2023 J jnl
Human Motion Prediction by Combining Spatial and Temporal Information With Independent Global Orientation.
IEEE Access
Hanwool Kim, Choonsung Shin, Yeong-Jun Cho
2023 J jnl
Rethinking Multi-Object Tracking Based on Re-Identification and Appearance Model Management.
IEEE Access
Yeong-Jun Cho, Dohyung Kim
2023 J jnl
Spatial-temporal Vehicle Re-identification.
CoRR
Hye-Geun Kim, YouKyoung Na, Hae-Won Joe, Yong-Hyuk Moon, Yeong-Jun Cho
2023 — conf
Vehicle Re-identification with Spatio-temporal Information.
ICTC
Hye-Geun Kim, YouKyoung Na, Hae-Won Joe, Yong-Hyuk Moon, Yeong-Jun Cho
2021 J jnl
Product Inspection Methodology via Deep Learning: An Overview.
CoRR
Tae-Hyun Kim, Hye-Rin Kim, Yeong-Jun Cho
2021 J jnl
Product Inspection Methodology via Deep Learning: An Overview.
Sensors
Tae-Hyun Kim, Hye-Rin Kim, Yeong-Jun Cho
2021 J jnl
Weighted Intersection over Union (wIoU): A New Evaluation Metric for Image Segmentation.
CoRR
Yeong-Jun Cho
2019 J jnl
Distance-based camera network topology inference for person re-identification.
Pattern Recognit. Lett.
Yeong-Jun Cho, Kuk-Jin Yoon
2019 J jnl
Joint person re-identification and camera network topology inference in multiple cameras.
Comput. Vis. Image Underst.
Yeong-Jun Cho, Su-A. Kim, Jae-Han Park, Kyuewang Lee, Kuk-Jin Yoon
2018 J jnl
PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification.
IEEE Trans. Image Process.
Yeong-Jun Cho, Kuk-Jin Yoon
2017 J jnl
Distance-based Camera Network Topology Inference for Person Re-identification.
CoRR
Yeong-Jun Cho, Kuk-Jin Yoon
2017 J jnl
Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras.
CoRR
Yeong-Jun Cho, Su-A. Kim, Jae-Han Park, Kyuewang Lee, Kuk-Jin Yoon
2017 J jnl
PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification.
CoRR
Yeong-Jun Cho, Kuk-Jin Yoon
2017 — conf
Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks.
ICCV Workshops
Yeong-Jun Cho, Jae-Han Park, Su-A. Kim, Kyuewang Lee, Kuk-Jin Yoon
2017 J jnl
Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks.
CoRR
Yeong-Jun Cho, Jae-Han Park, Su-A. Kim, Kyuewang Lee, Kuk-Jin Yoon
2016 A* conf
Improving Person Re-identification via Pose-Aware Multi-shot Matching.
CVPR
Yeong-Jun Cho, Kuk-Jin Yoon