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Jaehun Kim
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2020 – today
- 2024
- [c17]Ji-Hoon Kim, Jaehun Kim, Joon Son Chung:
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos. AAAI 2024: 2759-2767 - [c16]Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg:
On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations. ICASSP 2024: 671-675 - [c15]Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies:
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. ICASSP 2024: 686-690 - [c14]Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies:
Tempo Estimation as Fully Self-Supervised Binary Classification. ICASSP 2024: 1356-1360 - [c13]Tan Dat Nguyen, Ji-Hoon Kim, Youngjoon Jang, Jaehun Kim, Joon Son Chung:
Fregrad: Lightweight and Fast Frequency-Aware Diffusion Vocoder. ICASSP 2024: 10736-10740 - [c12]Suyeon Lee, Chaeyoung Jung, Youngjoon Jang, Jaehun Kim, Joon Son Chung:
Seeing Through The Conversation: Audio-Visual Speech Separation Based on Diffusion Model. ICASSP 2024: 12632-12636 - [i15]Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg:
On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations. CoRR abs/2401.08889 (2024) - [i14]Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies:
Tempo estimation as fully self-supervised binary classification. CoRR abs/2401.08891 (2024) - [i13]Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies:
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. CoRR abs/2401.08902 (2024) - [i12]Tan Dat Nguyen, Ji-Hoon Kim, Youngjoon Jang, Jaehun Kim, Joon Son Chung:
FreGrad: Lightweight and Fast Frequency-aware Diffusion Vocoder. CoRR abs/2401.10032 (2024) - [i11]Andrew M. Demetriou, Jaehun Kim, Sandy Manolios, Cynthia C. S. Liem:
Towards Estimating Personal Values in Song Lyrics. CoRR abs/2408.12694 (2024) - 2023
- [c11]Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon:
Contrastive Learning for Cross-Modal Artist Retrieval. ISMIR 2023: 375-382 - [i10]Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon:
Contrastive Learning for Cross-modal Artist Retrieval. CoRR abs/2308.06556 (2023) - [i9]Ji-Hoon Kim, Jaehun Kim, Joon Son Chung:
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos. CoRR abs/2308.15256 (2023) - [i8]Suyeon Lee, Chaeyoung Jung, Youngjoon Jang, Jaehun Kim, Joon Son Chung:
Seeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion Model. CoRR abs/2310.19581 (2023) - 2022
- [j7]Taeyeong Kim
, Jaehun Kim
Dynamic tactility by position-encoded spike spectrum. Sci. Robotics 7(63) (2022) - [c10]Hongjun Lim, Yeon-Chang Lee
AiRS: A Large-Scale Recommender System at NAVER News. ICDE 2022: 3386-3398 - [c9]Jaehun Kim, Cynthia C. S. Liem:
The power of deep without going deep? A study of HDPGMM music representation learning. ISMIR 2022: 116-124 - 2021
- [j6]Jaehun Kim:
Increasing trust in complex machine learning systems: studies in the music domain. SIGIR Forum 55(1): 20:1-20:3 (2021) - 2020
- [j5]Jung Ho Lee
Precise Indoor Localization: Rapidly-Converging 2D Surface Correlation-Based Fingerprinting Technology Using LTE Signal. IEEE Access 8: 172829-172838 (2020) - [j4]Jaehun Kim
One deep music representation to rule them all? A comparative analysis of different representation learning strategies. Neural Comput. Appl. 32(4): 1067-1093 (2020) - [c8]Jaehun Kim, Andrew M. Demetriou, Sandy Manolios, Maria Stella Tavella, Cynthia C. S. Liem:
Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks. ISMIR 2020: 861-868 - [c7]Jaehun Kim, Sung-Phil Kim, Jungjun Kim, Heeseon Hwang, Jaehyun Kim, Doowon Park, Unyong Jeong:
Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning. SMC 2020: 178-183
2010 – 2019
- 2019
- [j3]Hyunwoo Choi
Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi. Ad Hoc Networks 83: 78-90 (2019) - [j2]Jaehun Kim
Are Nearby Neighbors Relatives? Testing Deep Music Embeddings. Frontiers Appl. Math. Stat. 5: 53 (2019) - [j1]Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic
Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2019(3): 148-179 (2019) - [c6]Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee:
Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO. MobiSys 2019: 510-511 - [c5]Jaehun Kim, Andrew M. Demetriou
Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference. UMAP 2019: 285-293 - [i7]Dae-Woong Jeong, Jaehun Kim, Youngseok Kim, Tae-Ho Kim, Myungsu Chae:
Effective Network Compression Using Simulation-Guided Iterative Pruning. CoRR abs/1902.04224 (2019) - [i6]Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic:
Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces. CoRR abs/1904.07154 (2019) - [i5]Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh:
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music. CoRR abs/1911.04069 (2019) - 2018
- [c4]Jaehun Kim, Minz Won, Cynthia C. S. Liem
Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information. RecSys Challenge 2018: 14:1-14:6 - [c3]Stjepan Picek, Ioannis Petros Samiotis
On the Performance of Convolutional Neural Networks for Side-Channel Analysis. SPACE 2018: 157-176 - [c2]Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem
Transfer Learning of Artist Group Factors to Musical Genre Classification. WWW (Companion Volume) 2018: 1929-1934 - [i4]Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic:
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies. CoRR abs/1802.04051 (2018) - [i3]Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem:
Transfer Learning of Artist Group Factors to Musical Genre Classification. CoRR abs/1805.02043 (2018) - [i2]Stjepan Picek, Ioannis Petros Samiotis, Annelie Heuser, Jaehun Kim, Shivam Bhasin, Axel Legay:
On the Performance of Deep Learning for Side-channel Analysis. IACR Cryptol. ePrint Arch. 2018: 4 (2018) - [i1]Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic:
Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis. IACR Cryptol. ePrint Arch. 2018: 1023 (2018) - 2017
- [c1]Chang Wook Kim, Jaehun Kim, Kwangsub Kim, Minz Won:
Single and Multi Column Neural Networks for Content-based Music Genre Recognition. MediaEval 2017
Coauthor Index
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