An Adaptive Batch-Orchestration Algorithm for the Heterogeneous GPU Cluster Environment in Distributed Deep Learning System. - Eunju Yang; Seong-Hwan Kim 002; Tae-Woo Kim 003; Minsu Jeon; Sangdon Park; Chan-Hyun Youn (BigComp, 2018)

IDLE: Integrated Deep Learning Engine with Adaptive Task Scheduling on Heterogeneous GPUs. - Tae-Woo Kim 003; Eunju Yang; Soyoon Bae; Chan-Hyun Youn (TENCON, 2018)

DL-dashboard: user-friendly deep learning model development environment. - Yoo-Mi Park; Eun-Ji Lim; Shin-Young Ahn; Wan Choi 002; Taewoo Kim 003 (IUI Companion, 2019)

Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos With Spatiotemporal Loop Consistency. - Taewoo Kim 003; Kwonyoung Ryu; Kyeongseob Song; Kuk-Jin Yoon (IEEE Robotics Autom. Lett., 2020)

Event-guided Deblurring of Unknown Exposure Time Videos. - Taewoo Kim 003; Jeongmin Lee 007; Lin Wang 025; Kuk-Jin Yoon (ECCV (18), 2022)

FleX: A Flex Interconnected HPC System With Stochastic Load Balancing Scheme. - Minsu Jeon; Kyung-No Joo; Taewoo Kim 003; Seong-Hwan Kim 002; Chan-Hyun Youn (IEEE Access, 2022)

Federated Onboard-Ground Station Computing With Weakly Supervised Cascading Pyramid Attention Network for Satellite Image Analysis. - Taewoo Kim 003; Minsu Jeon; Changha Lee; Junsoo Kim 002; Geonwoo Ko; Joo-Young Kim 001; Chan-Hyun Youn (IEEE Access, 2022)

A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning. - Junsoo Kim 002; Geonwoo Ko; Ji-Hoon Kim 004; Changha Lee; Taewoo Kim 003; Chan-Hyun Youn; Joo-Young Kim 001 (CICC, 2023)

Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields. - Taewoo Kim 003; Yujeong Chae; Hyun-Kurl Jang; Kuk-Jin Yoon (CVPR, 2023)

Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment. - Hoonhee Cho; Yuhwan Jeong; Taewoo Kim 003; Kuk-Jin Yoon (ICCV, 2023)

SLO-Aware DL Job Scheduling for Efficient FPGA-GPU Edge Cloud Computing. - Taewoo Kim 003; Minsu Jeon; Changha Lee; Seong-Hwan Kim 002; Fawaz AL-Hazemi; Chan-Hyun Youn (ICWE Workshops, 2023)

Recursive Visual Explanations Mediation Scheme Based on DropAttention Model With Multiple Episodes Pool. - Minsu Jeon; Taewoo Kim 003; Seong-Hwan Kim 002; Changha Lee; Chan-Hyun Youn (IEEE Access, 2023)

A Channel Pruning Optimization With Layer-Wise Sensitivity in a Single-Shot Manner Under Computational Constraints. - Minsu Jeon; Taewoo Kim 003; Changha Lee; Chan-Hyun Youn (IEEE Access, 2023)

Frequency-Aware Event-Based Video Deblurring for Real-World Motion Blur. - Taewoo Kim 003; Hoonhee Cho; Kuk-Jin Yoon (CVPR, 2024)

TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation. - Hoonhee Cho; Taewoo Kim 003; Yuhwan Jeong; Kuk-Jin Yoon (CVPR, 2024)

CMTA: Cross-Modal Temporal Alignment for Event-Guided Video Deblurring. - Taewoo Kim 003; Hoonhee Cho; Kuk-Jin Yoon (ECCV (52), 2024)

Towards Real-World Event-Guided Low-Light Video Enhancement and Deblurring. - Taewoo Kim 003; Jaeseok Jeong 001; Hoonhee Cho; Yuhwan Jeong; Kuk-Jin Yoon (ECCV (12), 2024)

Latency-Aware GPU Scheduling for DL Inference Tasks with Internal Resource Partitioning Strategy. - Taewoo Kim 003; Changha Lee; Chan-Hyun Youn (ICTC, 2024)

A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions. - Hoonhee Cho; Taewoo Kim 003; Yuhwan Jeong; Kuk-Jin Yoon (NeurIPS, 2024)

EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning. - Junsoo Kim 002; Seunghee Han; Geonwoo Ko; Ji-Hoon Kim 004; Changha Lee; Taewoo Kim 003; Chan-Hyun Youn; Joo-Young Kim 001 (IEEE J. Solid State Circuits, 2024)

Unifying Low-Resolution and High-Resolution Alignment by Event Cameras for Space-Time Video Super-Resolution. - Hoonhee Cho; Jae-Young Kang; Taewoo Kim 003; Yuhwan Jeong; Kuk-Jin Yoon (WACV, 2025)