Taewoo Kim
Orcid: 0000-0003-4290-6460Affiliations:
- Korea Advanced Institute of Science & Technology, Korea
According to our database1,
Taewoo Kim
authored at least 19 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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on dl.acm.org
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Bibliography
2024
EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning.
IEEE J. Solid State Circuits, March, 2024
Latency-Aware GPU Scheduling for DL Inference Tasks with Internal Resource Partitioning Strategy.
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
A Channel Pruning Optimization With Layer-Wise Sensitivity in a Single-Shot Manner Under Computational Constraints.
IEEE Access, 2023
Recursive Visual Explanations Mediation Scheme Based on DropAttention Model With Multiple Episodes Pool.
IEEE Access, 2023
Proceedings of the Current Trends in Web Engineering, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023
2022
Federated Onboard-Ground Station Computing With Weakly Supervised Cascading Pyramid Attention Network for Satellite Image Analysis.
IEEE Access, 2022
IEEE Access, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2020
Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos With Spatiotemporal Loop Consistency.
IEEE Robotics Autom. Lett., 2020
2019
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019
2018
IDLE: Integrated Deep Learning Engine with Adaptive Task Scheduling on Heterogeneous GPUs.
Proceedings of the TENCON 2018, 2018
An Adaptive Batch-Orchestration Algorithm for the Heterogeneous GPU Cluster Environment in Distributed Deep Learning System.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018