A Tensor Voting Approach for Multi-view 3D Scene Flow Estimation and Refinement. - Jaesik Park; Tae Hyun Oh; Jiyoung Jung; Yu-Wing Tai; In-So Kweon (ECCV (4), 2012)

Real-time motion detection based on Discrete Cosine Transform. - Tae Hyun Oh; Joon-Young Lee; In-So Kweon (ICIP, 2012)

Autonomous homing based on laser-camera fusion system. - Dong-Geol Choi; Inwook Shim; Yunsu Bok; Tae Hyun Oh; In-So Kweon (IROS, 2012)

Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision. - Tae Hyun Oh; Hyeongwoo Kim; Yu-Wing Tai; Jean-Charles Bazin; In-So Kweon (ICCV, 2013)

Hierarchical 3D line restoration based on angular proximity in structured environments. - Kyungdon Joo; Tae Hyun Oh; Hyeongwoo Kim; In-So Kweon (ICIP, 2013)

High dynamic range imaging by a rank-1 constraint. - Tae Hyun Oh; Joon-Young Lee; In-So Kweon (ICIP, 2013)

L1-based photometric stereo via augmented lagrange multiplier method. - Kyungdon Joo; Tae Hyun Oh; In-So Kweon (URAI, 2013)

Patch-based robust L1 tracker to dynamic appearance change. - Won-Jin Kim; Tae Hyun Oh; Kyungdon Joo; In-So Kweon (URAI, 2013)

A Two Phase Approach for Pedestrian Detection. - Soonmin Hwang; Tae Hyun Oh; In-So Kweon (ACCV Workshops (2), 2014)

Balanced optical flow refinement by bidirectional constraint. - Jongwon Choi; Hyeongwoo Kim; Tae Hyun Oh; In-So Kweon (ICIP, 2014)

Cost-aware depth map estimation for Lytro camera. - Min-Jung Kim 001; Tae Hyun Oh; In-So Kweon (ICIP, 2014)

A fusion approach for robust visual object tracking in crowd scenes. - Tae Hyun Oh; Kyungdon Joo; Junsik Kim 001; Jaesik Park; In-So Kweon (URAI, 2014)

A simple and real-time moving object detection invariant to cast shadow. - Tae Hyun Oh; In-So Kweon (URAI, 2014)

A Multi-view Structured-Light System for Highly Accurate 3D Modeling. - Hyowon Ha; Tae Hyun Oh; In-So Kweon (3DV, 2015)

Fast randomized Singular Value Thresholding for Nuclear Norm Minimization. - Tae Hyun Oh; Yasuyuki Matsushita; Yu-Wing Tai; In-So Kweon (CVPR, 2015)

Line meets as-projective-as-possible image stitching with moving DLT. - Kyungdon Joo; Namil Kim; Tae Hyun Oh; In-So Kweon (ICIP, 2015)

Line assisted vision applications in structured environments. - Kyungdon Joo; Tae Hyun Oh; In-So Kweon (URAI, 2015)

New Design Criteria for Robust PCA and a Compliant Bayesian-Inspired Algorithm. - Tae Hyun Oh; David P. Wipf; Yasuyuki Matsushita; In-So Kweon (CoRR, 2015)

Robust High Dynamic Range Imaging by Rank Minimization. - Tae Hyun Oh; Joon-Young Lee; Yu-Wing Tai; In-So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

An Autonomous Driving System for Unknown Environments Using a Unified Map. - Inwook Shim; Jongwon Choi; Seunghak Shin; Tae Hyun Oh; Unghui Lee; Byungtae Ahn; Dong-Geol Choi; David Hyunchul Shim; In-So Kweon (IEEE Trans. Intell. Transp. Syst., 2015)

Video-Story Composition via Plot Analysis. - Jinsoo Choi; Tae Hyun Oh; In-So Kweon (CVPR, 2016)

Globally Optimal Manhattan Frame Estimation in Real-Time. - Kyungdon Joo; Tae-Hyun Oh; Junsik Kim 001; In-So Kweon (CVPR, 2016)

A Pseudo-Bayesian Algorithm for Robust PCA. - Tae-Hyun Oh; Yasuyuki Matsushita; In-So Kweon; David P. Wipf (NIPS, 2016)

Human body part classification from optical flow. - Junsik Kim 001; Kyungdon Joo; Tae Hyun Oh; In-So Kweon (URAI, 2016)

Human Attention Estimation for Natural Images: An Automatic Gaze Refinement Approach. - Jinsoo Choi; Tae-Hyun Oh; In-So Kweon (CoRR, 2016)

Real-time Robust Manhattan Frame Estimation: Global Optimality and Applications. - Kyungdon Joo; Tae-Hyun Oh; Junsik Kim 001; In-So Kweon (CoRR, 2016)

Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications. - Tae Hyun Oh; Yu-Wing Tai; Jean-Charles Bazin; Hyeongwoo Kim; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting. - Donghyeon Cho; Jinsun Park; Tae-Hyun Oh; Yu-Wing Tai; In So Kweon (ICCV, 2017)

Personalized Cinemagraphs Using Semantic Understanding and Collaborative Learning. - Tae-Hyun Oh; Kyungdon Joo; Neel Joshi; Baoyuan Wang; In So Kweon; Sing Bing Kang (ICCV, 2017)

Textually Customized Video Summaries. - Jinsoo Choi; Tae-Hyun Oh; In-So Kweon (CoRR, 2017)

Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. - Junsik Kim 001; Seokju Lee; Tae-Hyun Oh; In So Kweon (AAAI, 2018)

On Learning Associations of Faces and Voices. - Changil Kim 001; Hijung Valentina Shin; Tae-Hyun Oh; Alexandre Kaspar; Mohamed A. Elgharib; Wojciech Matusik (ACCV (5), 2018)

Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation. - Kyungdon Joo; Tae-Hyun Oh; In So Kweon; Jean-Charles Bazin (CVPR, 2018)

Learning to Localize Sound Source in Visual Scenes. - Arda Senocak; Tae-Hyun Oh; Junsik Kim 001; Ming-Hsuan Yang 001; In So Kweon (CVPR, 2018)

On Learning Association of Sound Source and Visual Scenes. - Arda Senocak; Tae-Hyun Oh; Junsik Kim 001; Ming-Hsuan Yang 001; In So Kweon (CVPR Workshops, 2018)

Part-Based Player Identification Using Deep Convolutional Representation and Multi-Scale Pooling. - Arda Senocak; Tae-Hyun Oh; Junsik Kim 001; In So Kweon (CVPR Workshops, 2018)

Learning-Based Video Motion Magnification. - Tae-Hyun Oh; Ronnachai Jaroensri; Changil Kim 001; Mohamed A. Elgharib; Frédo Durand; William T. Freeman; Wojciech Matusik (ECCV (4), 2018)

Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks. - Dong-Jin Kim 003; Jinsoo Choi; Tae-Hyun Oh; Youngjin Yoon; In So Kweon (WACV, 2018)

Contextually Customized Video Summaries Via Natural Language. - Jinsoo Choi; Tae-Hyun Oh; In So Kweon (WACV, 2018)

Fast Randomized Singular Value Thresholding for Low-Rank Optimization. - Tae-Hyun Oh; Yasuyuki Matsushita; Yu-Wing Tai; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

A Closed-Form Solution to Rotation Estimation for Structure from Small Motion. - Hyowon Ha; Tae-Hyun Oh; In So Kweon (IEEE Signal Process. Lett., 2018)

Semantic soft segmentation. - Yagiz Aksoy; Tae-Hyun Oh; Sylvain Paris; Marc Pollefeys; Wojciech Matusik (ACM Trans. Graph., 2018)

Visuomotor Understanding for Representation Learning of Driving Scenes. - Seokju Lee; Junsik Kim 001; Tae-Hyun Oh; Yongseop Jeong; Donggeun Yoo; Stephen Lin 001; In So Kweon (BMVC, 2019)

Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. - Dong-Jin Kim 003; Jinsoo Choi; Tae-Hyun Oh; In So Kweon (CVPR, 2019)

Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. - Junsik Kim 001; Tae-Hyun Oh; Seokju Lee; Fei Pan; In So Kweon (CVPR, 2019)

Speech2Face: Learning the Face Behind a Voice. - Tae-Hyun Oh; Tali Dekel; Changil Kim 001; Inbar Mosseri; William T. Freeman; Michael Rubinstein; Wojciech Matusik (CVPR, 2019)

Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach. - Dong-Jin Kim 003; Jinsoo Choi; Tae-Hyun Oh; In So Kweon (EMNLP/IJCNLP (1), 2019)

Noise-tolerant Audio-visual Online Person Verification Using an Attention-based Neural Network Fusion. - Suwon Shon; Tae-Hyun Oh; James R. Glass (ICASSP, 2019)

Neural Inverse Knitting: From Images to Manufacturing Instructions. - Alexandre Kaspar; Tae-Hyun Oh; Liane Makatura; Petr Kellnhofer; Wojciech Matusik (ICML, 2019)

Neural Inverse Knitting: From Images to Manufacturing Instructions. - Alexandre Kaspar; Tae-Hyun Oh; Liane Makatura; Petr Kellnhofer; Jacqueline Aslarus; Wojciech Matusik (CoRR, 2019)

Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time. - Kyungdon Joo; Tae-Hyun Oh; Junsik Kim 001; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

High-Fidelity Depth Upsampling Using the Self-Learning Framework. - Inwook Shim; Tae-Hyun Oh; In So Kweon (Sensors, 2019)

Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms. - Inwook Shim; Tae-Hyun Oh; Joon-Young Lee; Jinwook Choi; Dong-Geol Choi; In So Kweon (IEEE Trans. Circuits Syst. Video Technol., 2019)

Listen to Look: Action Recognition by Previewing Audio. - Ruohan Gao; Tae-Hyun Oh; Kristen Grauman; Lorenzo Torresani (CVPR, 2020)

Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick. - Kyungdon Joo; Hongdong Li; Tae-Hyun Oh; Yunsu Bok; In So Kweon (ICRA, 2020)

Linear RGB-D SLAM for Atlanta World. - Kyungdon Joo; Tae-Hyun Oh; François Rameau; Jean-Charles Bazin; In So Kweon (ICRA, 2020)

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (CoRR, 2020)

Globally Optimal Inlier Set Maximization for Atlanta World Understanding. - Kyungdon Joo; Tae-Hyun Oh; In So Kweon; Jean-Charles Bazin (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise. - Kim Youwang; Ji-Yeon Kim; Kyungdon Joo; Tae-Hyun Oh (BMVC, 2021)

Monocular Reconstruction of Neural Face Reflectance Fields. - Mallikarjun B. R. 001; Ayush Tewari; Tae-Hyun Oh; Tim Weyrich; Bernd Bickel; Hans-Peter Seidel; Hanspeter Pfister; Wojciech Matusik; Mohamed Elgharib; Christian Theobalt (CVPR, 2021)

MDARTS: Multi-objective Differentiable Neural Architecture Search. - Sunghoon Kim; Hyun-jeong Kwon; Eunji Kwon; Youngchang Choi; Tae-Hyun Oh; Seokhyeong Kang (DATE, 2021)

Distilling Global and Local Logits with Densely Connected Relations. - Youmin Kim; Jinbae Park; Younho Jang; Muhammad Salman Ali; Tae-Hyun Oh; Sung-Ho Bae (ICCV, 2021)

CDS: Cross-Domain Self-supervised Pre-training. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (ICCV, 2021)

Supervoxel Attention Graphs for Long-Range Video Modeling. - Yang Wang 097; Gedas Bertasius; Tae-Hyun Oh; Abhinav Gupta; Minh Hoai; Lorenzo Torresani (WACV, 2021)

FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning. - Nam Hyeon-Woo; Moon Ye-Bin; Tae-Hyun Oh (CoRR, 2021)

FICGAN: Facial Identity Controllable GAN for De-identification. - Yonghyun Jeong; Jooyoung Choi; Sungwon Kim 001; Youngmin Ro; Tae-Hyun Oh; Doyeon Kim; Heonseok Ha; Sungroh Yoon (CoRR, 2021)

Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. - Arda Senocak; Tae-Hyun Oh; Junsik Kim 001; Ming-Hsuan Yang 001; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers. - Junhyeong Cho; Kim Youwang; Tae-Hyun Oh (ECCV (1), 2022)

HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields. - Kim Jun-Seong; Kim Yu-Ji; Moon Ye-Bin; Tae-Hyun Oh (ECCV (32), 2022)

CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes. - Kim Youwang; Ji-Yeon Kim; Tae-Hyun Oh (ECCV (3), 2022)

FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning. - Nam Hyeon-Woo; Moon Ye-Bin; Tae-Hyun Oh (ICLR, 2022)

Audio-Visual Fusion Layers for Event Type Aware Video Recognition. - Arda Senocak; Junsik Kim 001; Tae-Hyun Oh; Hyeonggon Ryu; Dingzeyu Li; In So Kweon (CoRR, 2022)

Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks. - Kyungdon Joo; Hongdong Li; Tae-Hyun Oh; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Dense Relational Image Captioning via Multi-Task Triple-Stream Networks. - Dong-Jin Kim 003; Tae-Hyun Oh; Jinsoo Choi; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Lightweight Speaker Recognition in Poincaré Spaces. - Jieun Lee; Kim Sung-Bin; Seokhyeong Kang; Tae-Hyun Oh (IEEE Signal Process. Lett., 2022)

Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment. - Kim Sung-Bin; Arda Senocak; Hyunwoo Ha; Andrew Owens; Tae-Hyun Oh (CVPR, 2023)

FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks. - Haena Song; Jongho Yoon 001; Dohun Kim; Eunji Kwon; Tae-Hyun Oh; Seokhyeong Kang (DATE, 2023)

Prefix Tuning for Automated Audio Captioning. - Minkyu Kim; Kim Sung-Bin; Tae-Hyun Oh (ICASSP, 2023)

Unsupervised Pre-Training for Data-Efficient Text-to-Speech on Low Resource Languages. - Seongyeon Park; Myungseo Song; Bohyung Kim; Tae-Hyun Oh (ICASSP, 2023)

Scratching Visual Transformer's Back with Uniform Attention. - Nam Hyeon-Woo; Kim Yu-Ji; Byeongho Heo; Dongyoon Han; Seong Joon Oh; Tae-Hyun Oh (ICCV, 2023)

Sound Source Localization is All about Cross-Modal Alignment. - Arda Senocak; Hyeonggon Ryu; Junsik Kim 001; Tae-Hyun Oh; Hanspeter Pfister; Joon Son Chung (ICCV, 2023)

TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation. - Moon Ye-Bin; Jisoo Kim 006; Hongyeob Kim; Kilho Son; Tae-Hyun Oh (ICCV, 2023)

Enhancing Classification Accuracy on Limited Data via Unconditional GAN. - Chunsan Hong; Byunghee Cha; Bohyung Kim; Tae-Hyun Oh (ICCV (Workshops), 2023)

DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline. - Byung-Ki Kwon; Nam Hyeon-Woo; Ji-Yun Kim; Tae-Hyun Oh (ICLR, 2023)

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 (INTERSPEECH, 2023)

Mask-KLT: Sub-pixel Accurate Directional Motion Estimation by Stripe Masking. - Hyunwoo Ha; Tae-Hyun Oh (VCIP, 2023)

Learning Few-shot Segmentation from Bounding Box Annotations. - Byeolyi Han; Tae-Hyun Oh (WACV, 2023)

Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding. - Arda Senocak; Junsik Kim 001; Tae-Hyun Oh; Dingzeyu Li; In So Kweon (WACV, 2023)

Computational Discovery of Microstructured Composites with Optimal Strength-Toughness Trade-Offs. - Beichen Li; Bolei Deng; Wan Shou; Tae-Hyun Oh; Yuanming Hu; Yiyue Luo; Liang Shi 003; Wojciech Matusik (CoRR, 2023)

Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective. - Moon Ye-Bin; Nam Hyeon-Woo; Wonseok Choi 001; Nayeong Kim; Suha Kwak; Tae-Hyun Oh (CoRR, 2023)

The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation. - Byung-Ki Kwon; Kim Sung-Bin; Tae-Hyun Oh (CoRR, 2023)

Learning-based Axial Motion Magnification. - Byung-Ki Kwon; Oh Hyun-Bin; Kim Jun-Seong; Tae-Hyun Oh (CoRR, 2023)

Joint Video Super-Resolution and Frame Interpolation via Permutation Invariance. - Jinsoo Choi; Tae-Hyun Oh (Sensors, 2023)

FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields. - GeonU Kim; Kim Youwang; Tae-Hyun Oh (AAAI, 2024)

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 (ACCV (9), 2024)

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 (BMVC, 2024)

Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering. - Kim Youwang; Tae-Hyun Oh; Gerard Pons-Moll (CVPR, 2024)

Learning-based Axial Video Motion Magnification. - Byung-Ki Kwon; Oh Hyun-Bin; Kim Jun-Seong; Hyunwoo Ha; Tae-Hyun Oh (ECCV (54), 2024)

BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-Language Models. - Moon Ye-Bin; Nam Hyeon-Woo; Wonseok Choi 001; Tae-Hyun Oh (ECCV (11), 2024)

Noise Map Guidance: Inversion with Spatial Context for Real Image Editing. - Hansam Cho; Jonghyun Lee 006; Seoung Bum Kim; Tae-Hyun Oh; Yonghyun Jeong (ICLR, 2024)

CAS: A Probability-Based Approach for Universal Condition Alignment Score. - Chunsan Hong; Byunghee Cha; Tae-Hyun Oh (ICLR, 2024)

Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert. - Han EunGi; Oh Hyun-Bin; Kim Sung-Bin; Corentin Nivelet Etcheberry; Suekyeong Nam; Janghoon Ju; Tae-Hyun Oh (INTERSPEECH, 2024)

MultiTalk: Enhancing 3D Talking Head Generation Across Languages with Multilingual Video Dataset. - Kim Sung-Bin; Lee Chae-Yeon; Gihun Son; Oh Hyun-Bin; Janghoon Ju; Suekyeong Nam; Tae-Hyun Oh (INTERSPEECH, 2024)

An Efficient and Effective Sea Turtle Detection Using Positioning Enhancement Module. - Muhamad Dwisnanto Putro; Dirko G. S. Ruindungan; Rendy Syahputra; Tae-Hyun Oh; Il Yong Chun; Vecky Canisius Poekoel (IWIS, 2024)

SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. - Lee Hyun; Kim Sung-Bin; Seungju Han 002; Youngjae Yu; Tae-Hyun Oh (NAACL-HLT (Findings), 2024)

LaughTalk: Expressive 3D Talking Head Generation with Laughter. - Kim Sung-Bin; Lee Hyun; Da Hye Hong; Suekyeong Nam; Janghoon Ju; Tae-Hyun Oh (WACV, 2024)

Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data. - Dong-Jin Kim 003; Tae-Hyun Oh; Jinsoo Choi; In So Kweon (IEEE Access, 2024)

Overcoming Client Data Deficiency in Federated Learning by Exploiting Unlabeled Data on the Server. - Jae-Min Park; Won-Jun Jang; Tae-Hyun Oh; Si-Hyeon Lee (IEEE Access, 2024)

Revisiting Learning-based Video Motion Magnification for Real-time Processing. - 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 (CoRR, 2024)

Object-Centric Domain Randomization for 3D Shape Reconstruction in the Wild. - Junhyeong Cho; Kim Youwang; Hunmin Yang; Tae-Hyun Oh (CoRR, 2024)

Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert. - Han EunGi; Oh Hyun-Bin; Kim Sung-Bin; Corentin Nivelet Etcheberry; Suekyeong Nam; Janghoon Joo; Tae-Hyun Oh (CoRR, 2024)

Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment. - Arda Senocak; Hyeonggon Ryu; Junsik Kim 001; Tae-Hyun Oh; Hanspeter Pfister; Joon Son Chung (CoRR, 2024)

DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding. - Jungbin Cho; Junwan Kim; Jisoo Kim 006; Minseo Kim; Mingu Kang; Sungeun Hong; Tae-Hyun Oh; Youngjae Yu (CoRR, 2024)

Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment. - Kim Sung-Bin; Arda Senocak; Hyunwoo Ha; Tae-Hyun Oh (CoRR, 2024)

A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization. - Kim Youwang; Lee Hyun; Kim Sung-Bin; Suekyeong Nam; Janghoon Ju; Tae-Hyun Oh (Trans. Mach. Learn. Res., 2024)

ENInst: Enhancing weakly-supervised low-shot instance segmentation. - Moon Ye-Bin; Dongmin Choi; Yongjin Kwon; Junsik Kim 001; Tae-Hyun Oh (Pattern Recognit., 2024)

Multi-stage adaptive rank statistic pruning for lightweight human 3D mesh recovery model. - Donghun Ryou; Kim Youwang; Tae-Hyun Oh (Vis. Comput., 2024)

Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation. - Ji-Yeon Kim; Oh Hyun-Bin; Byung-Ki Kwon; Dahun Kim; Yongjin Kwon; Tae-Hyun Oh (IEEE Robotics Autom. Lett., 2024)

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. - Minkyung Kim 001; Jongmin Yu; Junsik Kim 001; Tae-Hyun Oh; Jun Kyun Choi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices. - Kim Jun-Seong; Mingyu Kim 002; GeonU Kim; Tae-Hyun Oh; Jin-Hwa Kim (IEEE Robotics Autom. Lett., 2024)

The devil in the details: simple and effective optical flow synthetic data generation. - Byung-Ki Kwon; Sung-Bin Kim; Tae-Hyun Oh (Vis. Comput., 2024)

Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior. - Hyoseok Lee; Kyeong Seon Kim; Byung-Ki Kwon; Tae-Hyun Oh (AAAI, 2025)

SoundBrush: Sound as a Brush for Visual Scene Editing. - Kim Sung-Bin; Kim Jun-Seong; Junseok Ko; Yewon Kim; Tae-Hyun Oh (AAAI, 2025)

Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics. - Lee Chae-Yeon; Oh Hyun-Bin; Han EunGi; Kim Sung-Bin; Suekyeong Nam; Tae-Hyun Oh (CVPR, 2025)

Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild. - Junhyeong Cho; Kim Youwang; Hunmin Yang; Tae-Hyun Oh (CVPR, 2025)

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 (CVPR, 2025)

AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models. - Kim Sung-Bin; Oh Hyun-Bin; JungMok Lee; Arda Senocak; Joon Son Chung; Tae-Hyun Oh (ICLR, 2025)

A unified framework for unsupervised action learning via global-to-local motion transformer. - Boeun Kim; Jungho Kim; Hyung Jin Chang; Tae-Hyun Oh (Pattern Recognit., 2025)

SYNAuG: Exploiting synthetic data for data imbalance problems. - Moon Ye-Bin; Nam Hyeon-Woo; Won-Seok Choi 001; Nayeong Kim; Suha Kwak; Tae-Hyun Oh (Pattern Recognit. Lett., 2025)

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models. - Chunsan Hong; Tae-Hyun Oh; Minhyuk Sung (Trans. Mach. Learn. Res., 2025)

VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models. - Nam Hyeon-Woo; Moon Ye-Bin; Wonseok Choi 001; Lee Hyun; Tae-Hyun Oh (Trans. Mach. Learn. Res., 2025)

FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting. - GeonU Kim; Kim Youwang; Hyoseok Lee; Tae-Hyun Oh (CoRR, 2025)

VoiceCraft-Dub: Automated Video Dubbing with Neural Codec Language Models. - Kim Sung-Bin; Jeongsoo Choi; Puyuan Peng; Joon Son Chung; Tae-Hyun Oh; David Harwath (CoRR, 2025)

AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation. - Jeongsoo Choi; Ji-Hoon Kim; Kim Sung-Bin; Tae-Hyun Oh; Joon Son Chung (CoRR, 2025)

JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers. - Byung-Ki Kwon; Qi Dai; Hyoseok Lee; Chong Luo; Tae-Hyun Oh (CoRR, 2025)

VSC: Visual Search Compositional Text-to-Image Diffusion Model. - Do Huu Dat; Nam Hyeonu; Po Yuan Mao; Tae-Hyun Oh (CoRR, 2025)

Toward Interactive Sound Source Localization: Better Align Sight and Sound! - Arda Senocak; Hyeonggon Ryu; Junsik Kim 001; Tae-Hyun Oh; Hanspeter Pfister; Joon Son Chung (IEEE Trans. Pattern Anal. Mach. Intell., 2025)