default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJongseok Lee
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
[j12]Jongseok Lee
, Donggyu Sim:
Semi-Supervised Learning for Spiking Neural Networks Based on Spike-Timing-Dependent Plasticity. IEEE Access 11: 35140-35149 (2023)- [j11]Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiaoxiang Zhu:
A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 56(S1): 1513-1589 (2023) - [j10]Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel:
Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. Field Robotics 3(1): 323-367 (2023) - [j9]Jongseok Lee, W. F. J. Olsman, Rudolph Triebel:
Learning Fluid Flow Visualizations From In-Flight Images With Tufts. IEEE Robotics Autom. Lett. 8(6): 3677-3684 (2023) - 2021
- [j8]Ismail Marzuki, Jongseok Lee, Wahyu Wiratama, Donggyu Sim:
Deep Convolutional Feature-Driven Rate Control for the HEVC Encoders. IEEE Access 9: 162018-162034 (2021) - 2020
- [j7]Wahyu Wiratama, Jongseok Lee, Donggyu Sim:
Change Detection on Multi-Spectral Images Based on Feature-level U-Net. IEEE Access 8: 12279-12289 (2020) - [j6]Ismail Marzuki, Jongseok Lee, Donggyu Sim:
Optimal CTU-Level Rate Control Model for HEVC Based on Deep Convolutional Features. IEEE Access 8: 165670-165682 (2020) - [j5]Jangsoo Park, Jongseok Lee, Donggyu Sim:
Low-complexity CNN with 1D and 2D filters for super-resolution. J. Real Time Image Process. 17(6): 2065-2076 (2020) - 2018
- [j4]Byeongdo Kang, Jongseok Lee:
Estimating Procedure for Function Point and Development Cost in South Korea. Int. J. Networked Distributed Comput. 6(3): 185-194 (2018) - 2010
- [j3]Jongseok Lee, Sungyul Choe, Seungyong Lee:
Compression of 3D Mesh Geometry and Vertex Attributes for Mobile Graphics. J. Comput. Sci. Eng. 4(3): 207-224 (2010) - 2006
- [j2]Eocman Lee, Jeho Lee, Jongseok Lee:
Reconsideration of the Winner-Take-All Hypothesis: Complex Networks and Local Bias. Manag. Sci. 52(12): 1838-1848 (2006) - 2003
- [j1]Jongseok Lee, Jeho Lee, Habin Lee:
Exploration and Exploitation in the Presence of Network Externalities. Manag. Sci. 49(4): 553-570 (2003)
Conference and Workshop Papers
- 2023
- [c25]Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel:
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRL 2023: 3214-3241 - [c24]Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel:
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. ICML 2023: 30252-30284 - [c23]Jongseok Lee, Sunjin Kim, Namseok Ko:
The Study on SRv6 for User Plane in 5G-Advanced and 6G Mobile Networks. ICTC 2023: 1381-1383 - [c22]Sunjin Kim, Jongseok Lee, Namseok Ko:
A Solution for Establishing Traffic Routes per Application in 5G-Advanced and 6G Mobile Networks. ICTC 2023: 1384-1386 - [c21]Younhee Kim, Se-Yoon Jeong, Jooyoung Lee, Jongseok Lee, Minsub Kim:
Pixel-Unshuffled Multi-level Feature Map Compression for FCVCM. VCIP 2023: 1-4 - 2022
- [c20]Sunjin Kim, Jongseok Lee, Noik Park, Namseok Ko:
The Analysis of Use Case, Effects and Considerations for SRv6-based Mobile User Plane. ICTC 2022: 2077-2079 - [c19]Jongseok Lee, Namseok Ko:
An Architecture for Named Data Networking over IP Core Network. ICTC 2022: 2152-2154 - [c18]Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel:
Bayesian Active Learning for Sim-to-Real Robotic Perception. IROS 2022: 10820-10827 - 2021
- [c17]Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel:
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRL 2021: 1168-1179 - [c16]Jaehwan Kim, Soo Min Kang, Kwang Pyo Choi, Youngo Park, Chaeeun Lee, Jongseok Lee:
High-Frequency Preserving Image Downscaler. ICIP 2021: 1984-1988 - [c15]Dong-Myung Sul, Sung-Hyuk Byun, Jongseok Lee, Namseok Ko:
Countering Interest flooding DDoS attacks in NDN Network. ICTC 2021: 1412-1414 - 2020
- [c14]Sung-Hyuk Byun, Jongseok Lee, Dong-Myung Sul, Namseok Ko:
Multi-Worker NFD: an NFD-compatible High-speed NDN Forwarder. ICN 2020: 166-168 - [c13]Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel:
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. ICML 2020: 5702-5713 - [c12]Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak:
Visual-Inertial Telepresence for Aerial Manipulation. ICRA 2020: 1222-1229 - 2018
- [c11]Khanh Quoc Dinh, Jongseok Lee, Jaehwan Kim, Youngo Park, Kwangpyo Choi, Jeonghoon Park:
Only-Reference Video Quality Assessment for Video Coding Using Convolutional Neural Network. ICIP 2018: 2496-2500 - [c10]Jongseok Lee, Tin Muskardin, Cristina Ruiz Pacz, Philipp Oettershagen, Thomas Stastny, Inkyu Sa, Roland Siegwart, Konstantin Kondak:
Towards Autonomous Stratospheric Flight: A Generic Global System Identification Framework for Fixed-Wing Platforms. IROS 2018: 6233-6240 - [c9]Seungwon Yang, Jongseok Lee:
Functional Expansion of Morphological Analyzer For Efficient Korean Parsing. SNPD 2018: 1-5 - [c8]Byeongdo Kang, Jongseok Lee:
Estimating Procedure for Function Point Analysis in Korea. SNPD 2018: 230-233 - 2017
- [c7]Jongseok Lee, Hyunjae Lee, Dong-Kyu Lee, Seoung-Jun Oh:
A compressed-domain corner detection method for a DCT-based compressed image. ICCE 2017: 306-307 - [c6]Hyunjae Lee, Jongseok Lee, Dong-Kyu Lee, Seoung-Jun Oh:
A novel scheme for extracting a JPEG image from an HEVC compressed video. ICCE 2017: 372-373 - 2015
- [c5]Jongseok Lee, Seungwon Yang, Roger Y. Lee, Byeongdo Kang:
Implementation of Delivery Application Using a Development Method for Mobile Applications. ACIT-CSI 2015: 132-136 - [c4]Heejung Kim, Jongseok Lee, Ikhyun Park, Hyungkyung Kim, Dong-Hoon Yi, Taesung Hur:
The upcoming new standard HTTP/2 and its impact on multi-domain websites. APNOMS 2015: 530-533 - 2014
- [c3]Byeongdo Kang, Jongseok Lee, Jonathan Kissinger, Roger Y. Lee:
A Procedure for the Development of Mobile Applications Software. Software Engineering Research, Management and Applications 2014: 141-150 - 2010
- [c2]Jongseok Lee, Sungyul Choe, Seungyong Lee:
Mesh Geometry Compression for Mobile Graphics. CCNC 2010: 1-5 - 2006
- [c1]Euisun Choi, Jongseok Lee, Joonhyun Yoon:
Feature Extraction for Bank Note Classification Using Wavelet Transform. ICPR (2) 2006: 934-937
Informal and Other Publications
- 2023
- [i10]Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel:
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks. CoRR abs/2307.07753 (2023) - [i9]Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel:
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRR abs/2311.06481 (2023) - 2022
- [i8]Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel:
Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. CoRR abs/2210.09678 (2022) - 2021
- [i7]Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu:
A Survey of Uncertainty in Deep Neural Networks. CoRR abs/2107.03342 (2021) - [i6]Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel:
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRR abs/2109.09690 (2021) - [i5]Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel:
Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. CoRR abs/2109.11547 (2021) - 2020
- [i4]Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak:
Visual-Inertial Telepresence for Aerial Manipulation. CoRR abs/2003.11509 (2020) - [i3]Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel:
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. CoRR abs/2006.11631 (2020) - [i2]Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel:
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry. CoRR abs/2007.07630 (2020) - [i1]Matthias Humt, Jongseok Lee, Rudolph Triebel:
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection. CoRR abs/2010.16141 (2020)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
