Seonguk Seo

According to our database1, Seonguk Seo authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Relaxed Contrastive Learning for Federated Learning.
CoRR, 2024

2023
Online Backfilling with No Regret for Large-Scale Image Retrieval.
CoRR, 2023

2022
Unsupervised Learning of Debiased Representations with Pseudo-Attributes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Unified Model for Bid Landscape Forecasting in the Mixed Auction Types of Real-Time Bidding.
Proceedings of the IEEE International Conference on Big Data, 2022

Information-Theoretic Bias Reduction via Causal View of Spurious Correlation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Learning to Optimize Domain Specific Normalization for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning to Optimize Domain Specific Normalization for Domain Generalization.
CoRR, 2019

Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Domain-Specific Batch Normalization for Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Confidence Calibration in Deep Neural Networks through Stochastic Inferences.
CoRR, 2018


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