| 2026 | ACL | SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter. | JungMok Lee, Sung-Bin Kim, Joohyun Chang, Lee Hyun, Tae-Hyun Oh |
| 2026 | WACV | Beyond the Highlights: Video Retrieval with Salient and Surrounding Contexts. | Jaehun Bang, Moon Ye-Bin, Tae-Hyun Oh, Kyungdon Joo |
| 2026 | WACV | Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching. | Won-Seok Choi, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, Dong-Ju Jeong, Jinyoung Hwang, Tae-Hyun Oh |
| 2026 | WACV | mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval. | Kyeong Seon Kim, Seong-Eun Baek, JungMok Lee, Tae-Hyun Oh |
| 2025 | AAAI | Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior. | Lee Hyoseok, Kyeong Seon Kim, Byung-Ki Kwon, Tae-Hyun Oh |
| 2025 | AAAI | SoundBrush: Sound as a Brush for Visual Scene Editing. | Sung-Bin Kim, Kim Jun-Seong, Junseok Ko, Yewon Kim, Tae-Hyun Oh |
| 2025 | CVPR | Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics. | Lee Chae-Yeon, Oh Hyun-Bin, Han EunGi, Sung-Bin Kim, Suekyeong Nam, Tae-Hyun Oh |
| 2025 | CVPR | Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild. | Junhyeong Cho, Kim Youwang, Hunmin Yang, Tae-Hyun Oh |
| 2025 | CVPR | Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration. | Kim Jun-Seong, GeonU Kim, Kim Yu-Ji, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh |
| 2025 | ICCV | DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding. | Jungbin Cho, Junwan Kim, Jisoo Kim, Minseo Kim, Mingu Kang, Sungeun Hong, Tae-Hyun Oh, Youngjae Yu |
| 2025 | ICCV | VSC: Visual Search Compositional Text-to-Image Diffusion Model. | Do Huu Dat, Nam Hyeon-Woo, Po Yuan Mao, Tae-Hyun Oh |
| 2025 | ICCV | VoiceCraft-Dub: Automated Video Dubbing with Neural Codec Language Models. | Sung-Bin Kim, Jeongsoo Choi, Puyuan Peng, Joon Son Chung, Tae-Hyun Oh, David Harwath |
| 2025 | ICCV | JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers. | Byung-Ki Kwon, Qi Dai, Lee Hyoseok, Chong Luo, Tae-Hyun Oh |
| 2025 | ICLR | AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models. | Sung-Bin Kim, Oh Hyun-Bin, JungMok Lee, Arda Senocak, Joon Son Chung, Tae-Hyun Oh |
| 2024 | AAAI | FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields. | GeonU Kim, Kim Youwang, Tae-Hyun Oh |
| 2024 | ACCV | The Devil Is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning. | Wonjun Jo, Byung-Ki Kwon, Kim Ji-Yeon, Hawook Jeong, Kyungdon Joo, Tae-Hyun Oh |
| 2024 | BMVC | MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation. | Kim Yu-Ji, Hyunwoo Ha, Kim Youwang, Jaeheung Surh, Hyowon Ha, Tae-Hyun Oh |
| 2024 | CVPR | Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering. | Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll |
| 2024 | ECCV | Learning-based Axial Video Motion Magnification. | Byung-Ki Kwon, Oh Hyun-Bin, Kim Jun-Seong, Hyunwoo Ha, Tae-Hyun Oh |
| 2024 | ECCV | BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-Language Models. | Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Tae-Hyun Oh |
| 2024 | ICLR | Noise Map Guidance: Inversion with Spatial Context for Real Image Editing. | Hansam Cho, Jonghyun Lee, Seoung Bum Kim, Tae-Hyun Oh, Yonghyun Jeong |
| 2024 | ICLR | CAS: A Probability-Based Approach for Universal Condition Alignment Score. | Chunsan Hong, Byunghee Cha, Tae-Hyun Oh |
| 2024 | Interspeech | Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert. | Han EunGi, Oh Hyun-Bin, Sung-Bin Kim, Corentin Nivelet Etcheberry, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh |
| 2024 | Interspeech | MultiTalk: Enhancing 3D Talking Head Generation Across Languages with Multilingual Video Dataset. | Sung-Bin Kim, Lee Chae-Yeon, Gihun Son, Oh Hyun-Bin, Janghoon Ju, Suekyeong Nam, Tae-Hyun Oh |
| 2024 | NAACL | SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. | Lee Hyun, Sung-Bin Kim, Seungju Han, Youngjae Yu, Tae-Hyun Oh |
| 2024 | WACV | LaughTalk: Expressive 3D Talking Head Generation with Laughter. | Sung-Bin Kim, Lee Hyun, Da Hye Hong, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh |
| 2023 | CVPR | Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment. | Sung-Bin Kim, Arda Senocak, Hyunwoo Ha, Andrew Owens, Tae-Hyun Oh |
| 2023 | DATE | FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks. | Haena Song, Jongho Yoon, Dohun Kim, Eunji Kwon, Tae-Hyun Oh, Seokhyeong Kang |
| 2023 | ICASSP | Prefix Tuning for Automated Audio Captioning. | Minkyu Kim, Sung-Bin Kim, Tae-Hyun Oh |
| 2023 | ICASSP | Unsupervised Pre-Training for Data-Efficient Text-to-Speech on Low Resource Languages. | Seongyeon Park, Myungseo Song, Bohyung Kim, Tae-Hyun Oh |
| 2023 | ICCV | Scratching Visual Transformer's Back with Uniform Attention. | Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh |
| 2023 | ICCV | Sound Source Localization is All about Cross-Modal Alignment. | Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung |
| 2023 | ICCV | TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation. | Moon Ye-Bin, Jisoo Kim, Hongyeob Kim, Kilho Son, Tae-Hyun Oh |
| 2023 | ICLR | DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline. | Byung-Ki Kwon, Nam Hyeon-Woo, Ji-Yun Kim, Tae-Hyun Oh |
| 2023 | Interspeech | Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis. | Seongyeon Park, Bohyung Kim, Tae-Hyun Oh |
| 2023 | WACV | Learning Few-shot Segmentation from Bounding Box Annotations. | Byeolyi Han, Tae-Hyun Oh |
| 2023 | WACV | Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding. | Arda Senocak, Junsik Kim, Tae-Hyun Oh, Dingzeyu Li, In So Kweon |
| 2023 | VCIP | Mask-KLT: Sub-pixel Accurate Directional Motion Estimation by Stripe Masking. | Hyunwoo Ha, Tae-Hyun Oh |
| 2022 | ECCV | Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers. | Junhyeong Cho, Kim Youwang, Tae-Hyun Oh |
| 2022 | ECCV | HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields. | Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh |
| 2022 | ECCV | CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes. | Kim Youwang, Ji-Yeon Kim, Tae-Hyun Oh |
| 2022 | ICLR | FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning. | Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh |
| 2021 | BMVC | Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise. | Kim Youwang, Ji-Yeon Kim, Kyungdon Joo, Tae-Hyun Oh |
| 2021 | CVPR | Monocular Reconstruction of Neural Face Reflectance Fields. | Mallikarjun B. R., Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed A. Elgharib, Christian Theobalt |
| 2021 | DATE | MDARTS: Multi-objective Differentiable Neural Architecture Search. | Sunghoon Kim, Hyun-jeong Kwon, Eunji Kwon, Youngchang Choi, Tae-Hyun Oh, Seokhyeong Kang |
| 2021 | ICCV | Distilling Global and Local Logits with Densely Connected Relations. | Youmin Kim, Jinbae Park, Younho Jang, Muhammad Salman Ali, Tae-Hyun Oh, Sung-Ho Bae |
| 2021 | ICCV | CDS: Cross-Domain Self-supervised Pre-training. | Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko |
| 2021 | WACV | Supervoxel Attention Graphs for Long-Range Video Modeling. | Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani |
| 2020 | CVPR | Listen to Look: Action Recognition by Previewing Audio. | Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani |
| 2020 | ICRA | Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick. | Kyungdon Joo, Hongdong Li, Tae-Hyun Oh, Yunsu Bok, In So Kweon |
| 2020 | ICRA | Linear RGB-D SLAM for Atlanta World. | Kyungdon Joo, Tae-Hyun Oh, Franois Rameau, Jean-Charles Bazin, In So Kweon |
| 2019 | BMVC | Visuomotor Understanding for Representation Learning of Driving Scenes. | Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon |
| 2019 | CVPR | Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. | Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon |
| 2019 | CVPR | Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. | Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon |
| 2019 | CVPR | Speech2Face: Learning the Face Behind a Voice. | Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik |
| 2019 | EMNLP | Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach. | Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon |
| 2019 | ICASSP | Noise-tolerant Audio-visual Online Person Verification Using an Attention-based Neural Network Fusion. | Suwon Shon, Tae-Hyun Oh, James R. Glass |
| 2019 | ICML | Neural Inverse Knitting: From Images to Manufacturing Instructions. | Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Wojciech Matusik |
| 2018 | AAAI | Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. | Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon |
| 2018 | ACCV | On Learning Associations of Faces and Voices. | Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh, Alexandre Kaspar, Mohamed A. Elgharib, Wojciech Matusik |
| 2018 | CVPR | Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation. | Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin |
| 2018 | CVPR | Learning to Localize Sound Source in Visual Scenes. | Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon |
| 2018 | CVPR | On Learning Association of Sound Source and Visual Scenes. | Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon |
| 2018 | CVPR | Part-Based Player Identification Using Deep Convolutional Representation and Multi-Scale Pooling. | Arda Senocak, Tae-Hyun Oh, Junsik Kim, In So Kweon |
| 2018 | ECCV | Learning-Based Video Motion Magnification. | Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frdo Durand, William T. Freeman, Wojciech Matusik |
| 2018 | WACV | Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks. | Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon, In So Kweon |
| 2018 | WACV | Contextually Customized Video Summaries Via Natural Language. | Jinsoo Choi, Tae-Hyun Oh, In So Kweon |
| 2017 | ICCV | Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting. | Donghyeon Cho, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai, In So Kweon |
| 2017 | ICCV | Personalized Cinemagraphs Using Semantic Understanding and Collaborative Learning. | Tae-Hyun Oh, Kyungdon Joo, Neel Joshi, Baoyuan Wang, In So Kweon, Sing Bing Kang |
| 2016 | CVPR | Globally Optimal Manhattan Frame Estimation in Real-Time. | Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In-So Kweon |