2026 Bohyung Han: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	58	3540	3440	20	20	170	22277

Overview

Bohyung Han is affiliated with Seoul National University in South Korea and is an active researcher in the field of Computer Science. Their work has a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics, and Civil and Structural Engineering.

Their research topics cover a range of areas primarily centered on Machine Learning and Computer Vision techniques. Notable topics include:

Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Human Pose and Action Recognition
Advanced Vision and Imaging
Advanced Image Processing Techniques
Advanced Neural Network Applications
Anomaly Detection Techniques and Applications

Bohyung Han has contributed extensively to various publication venues. The most frequent venues where their research appears are:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
SSRN Electronic Journal
2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Recent selected papers authored by Bohyung Han demonstrate a focus on video frame interpolation, incremental learning, and neural rendering. These include:

Channel Attention Is All You Need for Video Frame Interpolation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Class-Incremental Learning for Action Recognition in Videos, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Learning Student-Friendly Teacher Networks for Knowledge Distillation, 2021, arXiv (Cornell University)

Their research collaborations involve several frequent coauthors, reflecting interdisciplinary and project-based teamwork. The prominent coauthors working with Bohyung Han include:

Seonguk Seo
Jaeyoo Park
Minsoo Kang
Joon-Young Lee
Minji Kim

Best Publications

Learning Deconvolution Network for Semantic Segmentation

Hyeonwoo Noh;Seunghoon Hong;Bohyung Han

4905
Citations
Learning Multi-domain Convolutional Neural Networks for Visual Tracking

Hyeonseob Nam;Bohyung Han

3002
Citations
The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

1919
Citations
Large-Scale Image Retrieval with Attentive Deep Local Features

Hyeonwoo Noh;Andre Araujo;Jack Sim;Tobias Weyand

908
Citations
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network

Seunghoon Hong;Tackgeun You;Suha Kwak;Bohyung Han

756
Citations
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Woong-Gi Chang;Tackgeun You;Seonguk Seo;Suha Kwak

433
Citations
Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction

Hyeonwoo Noh;Paul Hongsuck Seo;Bohyung Han

410
Citations
Weakly Supervised Action Localization by Sparse Temporal Pooling Network

Phuc Nguyen;Bohyung Han;Ting Liu;Gautam Prasad

401
Citations
The Visual Object Tracking VOT2014 challenge results

Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

391
Citations
Modeling and Propagating CNNs in a Tree Structure for Visual Tracking.

Hyeonseob Nam;Mooyeol Baek;Bohyung Han

358
Citations
Decoupled deep neural network for semi-supervised semantic segmentation

Seunghoon Hong;Hyeonwoo Noh;Bohyung Han

345
Citations
Channel Attention Is All You Need for Video Frame Interpolation

Myungsub Choi;Heewon Kim;Bohyung Han;Ning Xu

318
Citations
Real-Time MDNet

Ilchae Jung;Jeany Son;Mooyeol Baek;Bohyung Han

302
Citations
Local-Global Video-Text Interactions for Temporal Grounding

Jonghwan Mun;Minsu Cho;Bohyung Han

273
Citations
Multi-object Tracking with Quadruplet Convolutional Neural Networks

Jeany Son;Mooyeol Baek;Minsu Cho;Bohyung Han

268
Citations
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

Unknown

250
Citations
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking

Bohyung Han;D. Comaniciu;Ying Zhu;L.S. Davis

236
Citations
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering

Unknown

219
Citations
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network

Seunghoon Hong;Seunghoon Hong;Junhyuk Oh;Honglak Lee;Bohyung Han

207
Citations
Learning to Optimize Domain Specific Normalization for Domain Generalization

Seonguk Seo;Yumin Suh;Dongwan Kim;Geeho Kim

201
Citations
Density-Based Multifeature Background Subtraction with Support Vector Machine

Bohyung Han;L. S. Davis

197
Citations
Weakly Supervised Action Localization by Sparse Temporal Pooling Network

Phuc Nguyen;Ting Liu;Gautam Prasad;Bohyung Han

30
Citations
Learning to Optimize Domain Specific Normalization for Domain Generalization

Seonguk Seo;Yumin Suh;Dongwan Kim;Jongwoo Han

16
Citations

Frequent Co-Authors

Larry S. Davis University of Maryland, College Park

Minsu Cho Pohang University of Science and Technology

Kyoung Mu Lee Seoul National University

Qingming Huang University of Chinese Academy of Sciences

Horst Bischof Graz University of Technology

Fatih Porikli Australian National University

Matej Kristan University of Ljubljana

Michael Felsberg Linköping University

Longyin Wen ByteDance

Martin Danelljan ETH Zurich

External Links

Personal website of Bohyung Han Google Scholar page

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