Tae-Hyun Oh

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 121

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Tae-Hyun Oh
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models. CoRR (2024)
Kim Sung-Bin, Lee Chae-Yeon, Gihun Son, Oh Hyun-Bin, Janghoon Ju, Suekyeong Nam, Tae-Hyun Oh
MultiTalk: Enhancing 3D Talking Head Generation Across Languages with Multilingual Video Dataset. CoRR (2024)
GeonU Kim, Kim Youwang, Tae-Hyun Oh
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields. AAAI (2024)
Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data. IEEE Access 12 (2024)
Han EunGi, Oh Hyun-Bin, Kim Sung-Bin, Corentin Nivelet Etcheberry, Suekyeong Nam, Janghoon Joo, Tae-Hyun Oh
Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert. CoRR (2024)
Hansam Cho, Jonghyun Lee, Seoung Bum Kim, Tae-Hyun Oh, Yonghyun Jeong
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing. ICLR (2024)
GeonU Kim, Kim Youwang, Tae-Hyun Oh
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields. CoRR (2024)
Chunsan Hong, Byunghee Cha, Tae-Hyun Oh
CAS: A Probability-Based Approach for Universal Condition Alignment Score. ICLR (2024)
Hansam Cho, Jonghyun Lee, Seoung Bum Kim, Tae-Hyun Oh, Yonghyun Jeong
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing. CoRR (2024)
Kim Sung-Bin, Lee Hyun, Da Hye Hong, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh
LaughTalk: Expressive 3D Talking Head Generation with Laughter. WACV (2024)
Junhyeong Cho, Kim Youwang, Hunmin Yang, Tae-Hyun Oh
Object-Centric Domain Randomization for 3D Shape Reconstruction in the Wild. CoRR (2024)
Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh
ENInst: Enhancing weakly-supervised low-shot instance segmentation. Pattern Recognit. 145 (2024)
Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung
Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment. CoRR (2024)
Ji-Yeon Kim, Oh Hyun-Bin, Byung-Ki Kwon, Dahun Kim, Yongjin Kwon, Tae-Hyun Oh
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation. IEEE Robotics Autom. Lett. 9 (7) (2024)
Hyunwoo Ha, Oh Hyun-Bin, Kim Jun-Seong, Byung-Ki Kwon, Kim Sung-Bin, Linh-Tam Tran, Ji-Yun Kim, Sung-Ho Bae, Tae-Hyun Oh
Revisiting Learning-based Video Motion Magnification for Real-time Processing. CoRR (2024)
Donghun Ryou, Kim Youwang, Tae-Hyun Oh
Multi-stage adaptive rank statistic pruning for lightweight human 3D mesh recovery model. Vis. Comput. 40 (2) (2024)
Chunsan Hong, Tae-Hyun Oh, Minhyuk Sung
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models. CoRR (2024)
Byung-Ki Kwon, Kim Sung-Bin, Tae-Hyun Oh
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation. CoRR (2023)
Arda Senocak, Junsik Kim, Tae-Hyun Oh, Dingzeyu Li, In So Kweon
Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding. WACV (2023)
Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation. CoRR (2023)
Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung
Sound Source Localization is All about Cross-Modal Alignment. ICCV (2023)
Seongyeon Park, Bohyung Kim, Tae-Hyun Oh
Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis. INTERSPEECH (2023)
Moon Ye-Bin, Jisoo Kim, Hongyeob Kim, Kilho Son, Tae-Hyun Oh
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation. ICCV (2023)
Kim Youwang, Lee Hyun, Kim Sung-Bin, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization. CoRR (2023)
Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data. CoRR (2023)
Byung-Ki Kwon, Nam Hyeon-Woo, Ji-Yun Kim, Tae-Hyun Oh
DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline. ICLR (2023)
Kim Sung-Bin, Lee Hyun, Da Hye Hong, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh
LaughTalk: Expressive 3D Talking Head Generation with Laughter. CoRR (2023)
Minkyu Kim, Kim Sung-Bin, Tae-Hyun Oh
Prefix tuning for automated audio captioning. CoRR (2023)
Jinsoo Choi, Tae-Hyun Oh
Joint Video Super-Resolution and Frame Interpolation via Permutation Invariance. Sensors 23 (5) (2023)
Chunsan Hong, Byunghee Cha, Bohyung Kim, Tae-Hyun Oh
Enhancing Classification Accuracy on Limited Data via Unconditional GAN. ICCV (Workshops) (2023)
Beichen Li, Bolei Deng, Wan Shou, Tae-Hyun Oh, Yuanming Hu, Yiyue Luo, Liang Shi, Wojciech Matusik
Computational Discovery of Microstructured Composites with Optimal Strength-Toughness Trade-Offs. CoRR (2023)
Seongyeon Park, Myungseo Song, Bohyung Kim, Tae-Hyun Oh
Unsupervised Pre-Training for Data-Efficient Text-to-Speech on Low Resource Languages. ICASSP (2023)
Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering. CoRR (2023)
Byeolyi Han, Tae-Hyun Oh
Learning Few-shot Segmentation from Bounding Box Annotations. WACV (2023)
Kim Sung-Bin, Arda Senocak, Hyunwoo Ha, Andrew Owens, Tae-Hyun Oh
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment. CVPR (2023)
Minkyu Kim, Kim Sung-Bin, Tae-Hyun Oh
Prefix Tuning for Automated Audio Captioning. ICASSP (2023)
Seongyeon Park, Myungseo Song, Bohyung Kim, Tae-Hyun Oh
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource Languages. CoRR (2023)
Moon Ye-Bin, Jisoo Kim, Hongyeob Kim, Kilho Son, Tae-Hyun Oh
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation. CoRR (2023)
Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung
Sound Source Localization is All about Cross-Modal Alignment. CoRR (2023)
Byung-Ki Kwon, Oh Hyun-Bin, Kim Jun-Seong, Tae-Hyun Oh
Learning-based Axial Motion Magnification. CoRR (2023)
Haena Song, Jongho Yoon, Dohun Kim, Eunji Kwon, Tae-Hyun Oh, Seokhyeong Kang
FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks. DATE (2023)
Kim Sung-Bin, Arda Senocak, Hyunwoo Ha, Andrew Owens, Tae-Hyun Oh
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment. CoRR (2023)
Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh
Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective. CoRR (2023)
Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh
Scratching Visual Transformer's Back with Uniform Attention. ICCV (2023)
Hyunwoo Ha, Tae-Hyun Oh
Mask-KLT: Sub-pixel Accurate Directional Motion Estimation by Stripe Masking. VCIP (2023)
Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. CoRR (2023)
Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. CoRR (2023)
Junhyeong Cho, Kim Youwang, Tae-Hyun Oh
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers. ECCV (1) (2022)
Kim Youwang, Ji-Yeon Kim, Tae-Hyun Oh
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes. ECCV (3) (2022)
Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh
Scratching Visual Transformer's Back with Uniform Attention. CoRR (2022)
Kyungdon Joo, Hongdong Li, Tae-Hyun Oh, In So Kweon
Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields. ECCV (32) (2022)
Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields. CoRR (2022)
Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh
FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning. ICLR (2022)
Junhyeong Cho, Kim Youwang, Tae-Hyun Oh
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers. CoRR (2022)
Arda Senocak, Junsik Kim, Tae-Hyun Oh, Hyeonggon Ryu, Dingzeyu Li, In So Kweon
Audio-Visual Fusion Layers for Event Type Aware Video Recognition. CoRR (2022)
Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon
Dense Relational Image Captioning via Multi-Task Triple-Stream Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Jieun Lee, Kim Sung-Bin, Seokhyeong Kang, Tae-Hyun Oh
Lightweight Speaker Recognition in Poincaré Spaces. IEEE Signal Process. Lett. 29 (2022)
Youwang Kim, Ji-Yeon Kim, Tae-Hyun Oh
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes. CoRR (2022)
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
CDS: Cross-Domain Self-supervised Pre-training. ICCV (2021)
Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani
Supervoxel Attention Graphs for Long-Range Video Modeling. WACV (2021)
Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon
FICGAN: Facial Identity Controllable GAN for De-identification. CoRR (2021)
Kim Youwang, Kim Ji-Yeon, Kyungdon Joo, Tae-Hyun Oh
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise. CoRR (2021)
Youwang Kim, Ji-Yeon Kim, Kyungdon Joo, Tae-Hyun Oh
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise. BMVC (2021)
Sunghoon Kim, Hyun-jeong Kwon, Eunji Kwon, Youngchang Choi, Tae-Hyun Oh, Seokhyeong Kang
MDARTS: Multi-objective Differentiable Neural Architecture Search. DATE (2021)
Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh
FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning. CoRR (2021)
Youmin Kim, Jinbae Park, Younho Jang, Muhammad Salman Ali, Tae-Hyun Oh, Sung-Ho Bae
Distilling Global and Local Logits with Densely Connected Relations. ICCV (2021)
Mallikarjun B. R., Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed Elgharib, Christian Theobalt
Monocular Reconstruction of Neural Face Reflectance Fields. CVPR (2021)
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
Listen to Look: Action Recognition by Previewing Audio. CVPR (2020)
Kyungdon Joo, Hongdong Li, Tae-Hyun Oh, Yunsu Bok, In So Kweon
Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick. ICRA (2020)
Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin
Globally Optimal Inlier Set Maximization for Atlanta World Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42 (10) (2020)
Mallikarjun B. R., Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed Elgharib, Christian Theobalt
Monocular Reconstruction of Neural Face Reflectance Fields. CoRR (2020)
Kyungdon Joo, Tae-Hyun Oh, François Rameau, Jean-Charles Bazin, In So Kweon
Linear RGB-D SLAM for Atlanta World. ICRA (2020)
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. CoRR (2020)
Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon
Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time. IEEE Trans. Pattern Anal. Mach. Intell. 41 (3) (2019)
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach. EMNLP/IJCNLP (1) (2019)
Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. CVPR (2019)
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. CoRR (2019)
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. CoRR (2019)
Inwook Shim, Tae-Hyun Oh, Joon-Young Lee, Jinwook Choi, Dong-Geol Choi, In So Kweon
Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms. IEEE Trans. Circuits Syst. Video Technol. 29 (6) (2019)
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
Speech2Face: Learning the Face Behind a Voice. CVPR (2019)
Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon
Visuomotor Understanding for Representation Learning of Driving Scenes. CoRR (2019)
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach. CoRR (2019)
Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Jacqueline Aslarus, Wojciech Matusik
Neural Inverse Knitting: From Images to Manufacturing Instructions. CoRR (2019)
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
Listen to Look: Action Recognition by Previewing Audio. CoRR (2019)
Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CoRR (2019)
Suwon Shon, Tae-Hyun Oh, James R. Glass
Noise-tolerant Audio-visual Online Person Verification Using an Attention-based Neural Network Fusion. ICASSP (2019)
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. CVPR (2019)
Inwook Shim, Tae-Hyun Oh, In So Kweon
High-Fidelity Depth Upsampling Using the Self-Learning Framework. Sensors 19 (1) (2019)
Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Wojciech Matusik
Neural Inverse Knitting: From Images to Manufacturing Instructions. ICML (2019)
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
Speech2Face: Learning the Face Behind a Voice. CoRR (2019)
Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon
Visuomotor Understanding for Representation Learning of Driving Scenes. BMVC (2019)
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon, In So Kweon
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks. CoRR (2018)
Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin
Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation. CVPR (2018)
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon
On Learning Association of Sound Source and Visual Scenes. CVPR Workshops (2018)
Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik
Learning-based Video Motion Magnification. CoRR (2018)
Suwon Shon, Tae-Hyun Oh, James R. Glass
Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion. CoRR (2018)
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon, In So Kweon
Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks. WACV (2018)
Yagiz Aksoy, Tae-Hyun Oh, Sylvain Paris, Marc Pollefeys, Wojciech Matusik
Semantic soft segmentation. ACM Trans. Graph. 37 (4) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tae-Hyun Oh