Sungwoong Kim

Orcid: 0000-0002-2676-9454

According to our database1, Sungwoong Kim authored at least 40 papers between 2007 and 2024.

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Bibliography

2024
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction.
CoRR, 2024

Scalable Multi-Task Transfer Learning for Molecular Property Prediction.
CoRR, 2024

Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning.
IEEE Access, 2024

Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MEVG: Multi-event Video Generation with Text-to-Video Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

MTVG : Multi-text Video Generation with Text-to-Video Models.
CoRR, 2023

Hexa: Self-Improving for Knowledge-Grounded Dialogue System.
CoRR, 2023

Effortless Integration of Memory Management into Open-Domain Conversation Systems.
CoRR, 2023

Score-based Generative Models with Lévy Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MAGVLT: Masked Generative Vision-and-Language Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Regularization for Semi-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Selective Token Generation for Few-shot Natural Language Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Automated Learning Rate Scheduler for Large-batch Training.
CoRR, 2021

Hybrid Generative-Contrastive Representation Learning.
CoRR, 2021


Spatially Consistent Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Visual Concept Reasoning Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
AutoCLINT: The Winning Method in AutoCV Challenge 2019.
CoRR, 2020

torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models.
CoRR, 2020

Learning Loss for Test-Time Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spatially Attentive Output Layer for Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Mining GOLD Samples for Conditional GANs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast AutoAugment.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Scalable Neural Architecture Search for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Edge-Labeling Graph Neural Network for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Bayesian Model-Agnostic Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
Int. J. Comput. Vis., 2015

2014
Image Segmentation UsingHigher-Order Correlation Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013
Task-Specific Image Partitioning.
IEEE Trans. Image Process., 2013

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
Large Margin Discriminative Semi-Markov Model for Phonetic Recognition.
IEEE Trans. Speech Audio Process., 2011

Higher-Order Correlation Clustering for Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Wearable sensor activity analysis using semi-Markov models with a grammar.
Pervasive Mob. Comput., 2010

Largemargin training of semi-Markov model for phonetic recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Pairwise boosted audio fingerprint.
IEEE Trans. Inf. Forensics Secur., 2009

2007
Boosted Binary Audio Fingerprint Based on Spectral Subband Moments.
Proceedings of the IEEE International Conference on Acoustics, 2007


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