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2020 – today
- 2025
[j24]Boeun Kim
, Jungho Kim, Hyung Jin Chang, Tae-Hyun Oh:
A unified framework for unsupervised action learning via global-to-local motion transformer. Pattern Recognit. 159: 111118 (2025)- 2024
- [j23]Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon:
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data. IEEE Access 12: 93580-93592 (2024) - [j22]Jae-Min Park, Won-Jun Jang, Tae-Hyun Oh, Si-Hyeon Lee:
Overcoming Client Data Deficiency in Federated Learning by Exploiting Unlabeled Data on the Server. IEEE Access 12: 130007-130021 (2024) - [j21]Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh:
ENInst: Enhancing weakly-supervised low-shot instance segmentation. Pattern Recognit. 145: 109888 (2024) - [j20]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): 6186-6193 (2024) - [j19]Kim Jun-Seong, Mingyu Kim, GeonU Kim, Tae-Hyun Oh, Jin-Hwa Kim:
Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices. IEEE Robotics Autom. Lett. 9(11): 10272-10279 (2024) - [j18]Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi:
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13327-13339 (2024) - [j17]Donghun Ryou, Kim Youwang, Tae-Hyun Oh:
Multi-stage adaptive rank statistic pruning for lightweight human 3D mesh recovery model. Vis. Comput. 40(2): 535-543 (2024) - [j16]Byung-Ki Kwon, Sung-Bin Kim, Tae-Hyun Oh:
The devil in the details: simple and effective optical flow synthetic data generation. Vis. Comput. 40(12): 8665-8674 (2024) - [c75]GeonU Kim, Kim Youwang, Tae-Hyun Oh:
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields. AAAI 2024: 2750-2758 - [c74]Wonjun Jo, Byung-Ki Kwon, Kim Ji-Yeon, Hawook Jeong, Kyungdon Joo, Tae-Hyun Oh:
The Devil Is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning. ACCV (9) 2024: 20-37 - [c73]Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll:
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering. CVPR 2024: 4347-4356 - [c72]Byung-Ki Kwon, Oh Hyun-Bin, Kim Jun-Seong, Hyunwoo Ha, Tae-Hyun Oh:
Learning-based Axial Video Motion Magnification. ECCV (54) 2024: 179-195 - [c71]Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Tae-Hyun Oh:
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-Language Models. ECCV (11) 2024: 232-248 - [c70]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 - [c69]Chunsan Hong, Byunghee Cha, Tae-Hyun Oh:
CAS: A Probability-Based Approach for Universal Condition Alignment Score. ICLR 2024 - [c68]Muhamad Dwisnanto Putro, Dirko G. S. Ruindungan, Rendy Syahputra, Tae-Hyun Oh, II Yong Chun, Vecky Canisius Poekoel:
An Efficient and Effective Sea Turtle Detection Using Positioning Enhancement Module. IWIS 2024: 1-6 - [c67]Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh:
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. NAACL-HLT (Findings) 2024: 1149-1167 - [c66]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: 6392-6401 - [i65]GeonU Kim, Kim Youwang, Tae-Hyun Oh:
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields. CoRR abs/2401.05516 (2024) - [i64]Hansam Cho, Jonghyun Lee, Seoung Bum Kim, Tae-Hyun Oh, Yonghyun Jeong:
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing. CoRR abs/2402.04625 (2024) - [i63]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 abs/2403.01898 (2024) - [i62]Junhyeong Cho, Kim Youwang, Hunmin Yang, Tae-Hyun Oh:
Object-Centric Domain Randomization for 3D Shape Reconstruction in the Wild. CoRR abs/2403.14539 (2024) - [i61]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 abs/2406.14272 (2024) - [i60]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 abs/2407.01034 (2024) - [i59]Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Tae-Hyun Oh:
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models. CoRR abs/2407.13442 (2024) - [i58]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 abs/2407.13676 (2024) - [i57]Chunsan Hong, Tae-Hyun Oh, Minhyuk Sung:
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models. CoRR abs/2407.17095 (2024) - [i56]Kim Yu-Ji, Hyunwoo Ha, Kim Youwang, Jaeheung Surh, Hyowon Ha, Tae-Hyun Oh:
MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation. CoRR abs/2408.11465 (2024) - [i55]Nam Hyeon-Woo, Moon Ye-Bin, Won-Seok Choi, Lee Hyun, Tae-Hyun Oh:
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models. CoRR abs/2409.14759 (2024) - [i54]Kim Sung-Bin, Oh Hyun-Bin, JungMok Lee, Arda Senocak, Joon Son Chung, Tae-Hyun Oh:
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models. CoRR abs/2410.18325 (2024) - [i53]Jungbin Cho, Junwan Kim, Jisoo Kim, Minseo Kim, Mingu Kang, Sungeun Hong, Tae-Hyun Oh, Youngjae Yu:
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding. CoRR abs/2411.19527 (2024) - [i52]Kim Sung-Bin, Arda Senocak, Hyunwoo Ha, Tae-Hyun Oh:
Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment. CoRR abs/2412.06209 (2024) - 2023
- [j15]Jinsoo Choi, Tae-Hyun Oh:
Joint Video Super-Resolution and Frame Interpolation via Permutation Invariance. Sensors 23(5): 2529 (2023) - [c65]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: 6430-6440 - [c64]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: 1-6 - [c63]Minkyu Kim, Kim Sung-Bin, Tae-Hyun Oh:
Prefix Tuning for Automated Audio Captioning. ICASSP 2023: 1-5 - [c62]Seongyeon Park, Myungseo Song, Bohyung Kim, Tae-Hyun Oh:
Unsupervised Pre-Training for Data-Efficient Text-to-Speech on Low Resource Languages. ICASSP 2023: 1-5 - [c61]Moon Ye-Bin, Jisoo Kim, Hongyeob Kim, Kilho Son, Tae-Hyun Oh:
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation. ICCV 2023: 2526-2537 - [c60]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: 5784-5795 - [c59]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: 7743-7753 - [c58]Chunsan Hong, Byunghee Cha, Bohyung Kim, Tae-Hyun Oh:
Enhancing Classification Accuracy on Limited Data via Unconditional GAN. ICCV (Workshops) 2023: 1049-1057 - [c57]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 - [c56]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: 4319-4323 - [c55]Hyunwoo Ha, Tae-Hyun Oh:
Mask-KLT: Sub-pixel Accurate Directional Motion Estimation by Stripe Masking. VCIP 2023: 1-5 - [c54]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: 2236-2246 - [c53]Byeolyi Han, Tae-Hyun Oh:
Learning Few-shot Segmentation from Bounding Box Annotations. WACV 2023: 3739-3748 - [i51]Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon:
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data. CoRR abs/2301.11174 (2023) - [i50]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 abs/2302.01078 (2023) - [i49]Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh:
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation. CoRR abs/2302.09765 (2023) - [i48]Seongyeon Park, Myungseo Song, Bohyung Kim, Tae-Hyun Oh:
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource Languages. CoRR abs/2303.15669 (2023) - [i47]Minkyu Kim, Kim Sung-Bin, Tae-Hyun Oh:
Prefix tuning for automated audio captioning. CoRR abs/2303.17489 (2023) - [i46]Kim Sung-Bin, Arda Senocak, Hyunwoo Ha, Andrew Owens, Tae-Hyun Oh:
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment. CoRR abs/2303.17490 (2023) - [i45]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. CoRR abs/2305.16699 (2023) - [i44]Moon Ye-Bin, Jisoo Kim, Hongyeob Kim, Kilho Son, Tae-Hyun Oh:
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation. CoRR abs/2307.14611 (2023) - [i43]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 abs/2308.00994 (2023) - [i42]Byung-Ki Kwon, Kim Sung-Bin, Tae-Hyun Oh:
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation. CoRR abs/2308.07378 (2023) - [i41]Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi:
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. CoRR abs/2309.09436 (2023) - [i40]Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung:
Sound Source Localization is All about Cross-Modal Alignment. CoRR abs/2309.10724 (2023) - [i39]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 abs/2310.03205 (2023) - [i38]Kim Sung-Bin, Lee Hyun, Da Hye Hong, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh:
LaughTalk: Expressive 3D Talking Head Generation with Laughter. CoRR abs/2311.00994 (2023) - [i37]Byung-Ki Kwon, Oh Hyun-Bin, Kim Jun-Seong, Tae-Hyun Oh:
Learning-based Axial Motion Magnification. CoRR abs/2312.09551 (2023) - [i36]Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh:
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. CoRR abs/2312.09818 (2023) - [i35]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 abs/2312.11360 (2023) - 2022
- [j14]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): 5460-5471 (2022) - [j13]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): 7348-7362 (2022) - [j12]Jieun Lee, Kim Sung-Bin, Seokhyeong Kang, Tae-Hyun Oh:
Lightweight Speaker Recognition in Poincaré Spaces. IEEE Signal Process. Lett. 29: 224-228 (2022) - [c52]Kim Youwang, Ji-Yeon Kim, Tae-Hyun Oh:
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes. ECCV (3) 2022: 173-191 - [c51]Junhyeong Cho, Kim Youwang, Tae-Hyun Oh:
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers. ECCV (1) 2022: 342-359 - [c50]Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh:
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields. ECCV (32) 2022: 384-401 - [c49]Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh:
FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning. ICLR 2022 - [i34]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 abs/2202.05961 (2022) - [i33]Kim Youwang, Ji-Yeon Kim, Tae-Hyun Oh:
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes. CoRR abs/2206.04382 (2022) - [i32]Junhyeong Cho, Kim Youwang, Tae-Hyun Oh:
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers. CoRR abs/2207.13820 (2022) - [i31]Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh:
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields. CoRR abs/2208.06787 (2022) - [i30]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 abs/2210.08457 (2022) - 2021
- [j11]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): 1605-1619 (2021) - [c48]Kim Youwang, Ji-Yeon Kim, Kyungdon Joo, Tae-Hyun Oh:
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise. BMVC 2021: 393 - [c47]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: 4791-4800 - [c46]Sunghoon Kim, Hyun-jeong Kwon, Eunji Kwon, Youngchang Choi, Tae-Hyun Oh, Seokhyeong Kang:
MDARTS: Multi-objective Differentiable Neural Architecture Search. DATE 2021: 1344-1349 - [c45]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: 6270-6280 - [c44]Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko:
CDS: Cross-Domain Self-supervised Pre-training. ICCV 2021: 9103-9112 - [c43]Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani:
Supervoxel Attention Graphs for Long-Range Video Modeling. WACV 2021: 155-166 - [i29]Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh:
FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning. CoRR abs/2108.06098 (2021) - [i28]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 abs/2110.00740 (2021) - [i27]Kim Youwang, Ji-Yeon Kim, Kyungdon Joo, Tae-Hyun Oh:
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise. CoRR abs/2111.02450 (2021) - 2020
- [j10]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): 2656-2669 (2020) - [c42]Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani:
Listen to Look: Action Recognition by Previewing Audio. CVPR 2020: 10454-10464 - [c41]Kyungdon Joo, Tae-Hyun Oh, François Rameau, Jean-Charles Bazin, In So Kweon:
Linear RGB-D SLAM for Atlanta World. ICRA 2020: 1077-1083 - [c40]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: 4983-4989 - [i26]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 abs/2003.08264 (2020) - [i25]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 abs/2008.10247 (2020) - [i24]Dong-Jin Kim, Tae Hyun Oh, Jinsoo Choi, In So Kweon:
Dense Relational Image Captioning via Multi-task Triple-Stream Networks. CoRR abs/2010.03855 (2020)
2010 – 2019
- 2019
- [j9]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): 682-696 (2019) - [j8]Inwook Shim, Tae-Hyun Oh, In So Kweon:
High-Fidelity Depth Upsampling Using the Self-Learning Framework. Sensors 19(1): 81 (2019) - [j7]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): 1569-1583 (2019) - [c39]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: 262 - [c38]Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon:
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. CVPR 2019: 6271-6280 - [c37]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: 7539-7548 - [c36]Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon:
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. CVPR 2019: 9462-9470 - [c35]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: 2012-2023 - [c34]Suwon Shon, Tae-Hyun Oh, James R. Glass:
Noise-tolerant Audio-visual Online Person Verification Using an Attention-based Neural Network Fusion. ICASSP 2019: 3995-3999 - [c33]Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Wojciech Matusik:
Neural Inverse Knitting: From Images to Manufacturing Instructions. ICML 2019: 3272-3281 - [i23]Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Jacqueline Aslarus, Wojciech Matusik:
Neural Inverse Knitting: From Images to Manufacturing Instructions. CoRR abs/1902.02752 (2019) - [i22]Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon:
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. CoRR abs/1903.05942 (2019) - [i21]Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon:
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CoRR abs/1904.08482 (2019) - [i20]Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik:
Speech2Face: Learning the Face Behind a Voice. CoRR abs/1905.09773 (2019) - [i19]Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon:
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach. CoRR abs/1909.02201 (2019) - [i18]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 abs/1909.06979 (2019) - [i17]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 abs/1911.09649 (2019) - [i16]Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani:
Listen to Look: Action Recognition by Previewing Audio. CoRR abs/1912.04487 (2019) - 2018
- [j6]Tae-Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon:
Fast Randomized Singular Value Thresholding for Low-Rank Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 376-391 (2018) - [j5]Hyowon Ha, Tae-Hyun Oh, In So Kweon:
A Closed-Form Solution to Rotation Estimation for Structure from Small Motion. IEEE Signal Process. Lett. 25(3): 393-397 (2018) - [j4]Yagiz Aksoy, Tae-Hyun Oh, Sylvain Paris, Marc Pollefeys, Wojciech Matusik:
Semantic soft segmentation. ACM Trans. Graph. 37(4): 72 (2018) - [c32]Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon:
Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. AAAI 2018: 6975-6982 - [c31]Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh, Alexandre Kaspar, Mohamed A. Elgharib, Wojciech Matusik:
On Learning Associations of Faces and Voices. ACCV (5) 2018: 276-292 - [c30]Arda Senocak, Tae-Hyun Oh, Junsik Kim, In So Kweon:
Part-Based Player Identification Using Deep Convolutional Representation and Multi-Scale Pooling. CVPR Workshops 2018: 1732-1739 - [c29]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: 2508-2509 - [c28]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Source in Visual Scenes. CVPR 2018: 4358-4366 - [c27]Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin:
Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation. CVPR 2018: 5726-5734 - [c26]Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik:
Learning-Based Video Motion Magnification. ECCV (4) 2018: 663-679 - [c25]Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon, In So Kweon:
Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks. WACV 2018: 1699-1708 - [c24]Jinsoo Choi, Tae-Hyun Oh, In So Kweon:
Contextually Customized Video Summaries Via Natural Language. WACV 2018: 1718-1726 - [i15]Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon, In So Kweon:
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks. CoRR abs/1802.04962 (2018) - [i14]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Source in Visual Scenes. CoRR abs/1803.03849 (2018) - [i13]Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik:
Learning-based Video Motion Magnification. CoRR abs/1804.02684 (2018) - [i12]Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh, Alexandre Kaspar, Mohamed A. Elgharib, Wojciech Matusik:
On Learning Associations of Faces and Voices. CoRR abs/1805.05553 (2018) - [i11]Suwon Shon, Tae-Hyun Oh, James R. Glass:
Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion. CoRR abs/1811.10813 (2018) - 2017
- [c23]Donghyeon Cho, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai, In So Kweon:
Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting. ICCV 2017: 4568-4577 - [c22]Tae-Hyun Oh, Kyungdon Joo, Neel Joshi, Baoyuan Wang, In So Kweon, Sing Bing Kang:
Personalized Cinemagraphs Using Semantic Understanding and Collaborative Learning. ICCV 2017: 5170-5179 - [i10]Jinsoo Choi, Tae-Hyun Oh, In-So Kweon:
Textually Customized Video Summaries. CoRR abs/1702.01528 (2017) - [i9]Donghyeon Cho, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai, In So Kweon:
Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting. CoRR abs/1708.02731 (2017) - [i8]Tae-Hyun Oh, Kyungdon Joo, Neel Joshi, Baoyuan Wang, In So Kweon, Sing Bing Kang:
Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning. CoRR abs/1708.02970 (2017) - [i7]Inwook Shim, Tae-Hyun Oh, Joon-Young Lee, Dong-Geol Choi, Jinwook Choi, In So Kweon:
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms. CoRR abs/1708.07338 (2017) - [i6]Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon:
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. CoRR abs/1712.01907 (2017) - 2016
- [j3]Tae Hyun Oh, Yu-Wing Tai, Jean-Charles Bazin, Hyeongwoo Kim, In So Kweon:
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 744-758 (2016) - [c21]Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In-So Kweon:
Globally Optimal Manhattan Frame Estimation in Real-Time. CVPR 2016: 1763-1771 - [c20]Jinsoo Choi, Tae Hyun Oh, In-So Kweon:
Video-Story Composition via Plot Analysis. CVPR 2016: 3122-3130 - [c19]Tae-Hyun Oh, Yasuyuki Matsushita, In-So Kweon, David P. Wipf:
A Pseudo-Bayesian Algorithm for Robust PCA. NIPS 2016: 1390-1398 - [c18]Junsik Kim, Kyungdon Joo, Tae Hyun Oh, In-So Kweon:
Human body part classification from optical flow. URAI 2016: 903-904 - [i5]Jinsoo Choi, Tae-Hyun Oh, In-So Kweon:
Human Attention Estimation for Natural Images: An Automatic Gaze Refinement Approach. CoRR abs/1601.02852 (2016) - [i4]Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In-So Kweon:
Real-time Robust Manhattan Frame Estimation: Global Optimality and Applications. CoRR abs/1605.03730 (2016) - 2015
- [j2]Tae Hyun Oh, Joon-Young Lee, Yu-Wing Tai, In-So Kweon:
Robust High Dynamic Range Imaging by Rank Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1219-1232 (2015) - [j1]Inwook Shim, Jongwon Choi, Seunghak Shin, Tae Hyun Oh, Unghui Lee, Byungtae Ahn, Dong-Geol Choi, David Hyunchul Shim, In-So Kweon:
An Autonomous Driving System for Unknown Environments Using a Unified Map. IEEE Trans. Intell. Transp. Syst. 16(4): 1999-2013 (2015) - [c17]Hyowon Ha, Tae Hyun Oh, In-So Kweon:
A Multi-view Structured-Light System for Highly Accurate 3D Modeling. 3DV 2015: 118-126 - [c16]Tae Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In-So Kweon:
Fast randomized Singular Value Thresholding for Nuclear Norm Minimization. CVPR 2015: 4484-4493 - [c15]Kyungdon Joo, Namil Kim, Tae Hyun Oh, In-So Kweon:
Line meets as-projective-as-possible image stitching with moving DLT. ICIP 2015: 1175-1179 - [c14]Kyungdon Joo, Tae Hyun Oh, In-So Kweon:
Line assisted vision applications in structured environments. URAI 2015: 182-183 - [i3]Tae Hyun Oh, Yu-Wing Tai, Jean-Charles Bazin, Hyeongwoo Kim, In-So Kweon:
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications. CoRR abs/1503.01444 (2015) - [i2]Tae Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon:
Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization. CoRR abs/1509.00296 (2015) - [i1]Tae Hyun Oh, David P. Wipf, Yasuyuki Matsushita, In-So Kweon:
New Design Criteria for Robust PCA and a Compliant Bayesian-Inspired Algorithm. CoRR abs/1512.02188 (2015) - 2014
- [c13]Soonmin Hwang, Tae Hyun Oh, In-So Kweon:
A Two Phase Approach for Pedestrian Detection. ACCV Workshops (2) 2014: 459-474 - [c12]Min-Jung Kim, Tae Hyun Oh, In-So Kweon:
Cost-aware depth map estimation for Lytro camera. ICIP 2014: 36-40 - [c11]Jongwon Choi, Hyeongwoo Kim, Tae Hyun Oh, In-So Kweon:
Balanced optical flow refinement by bidirectional constraint. ICIP 2014: 5477-5481 - [c10]Tae Hyun Oh, Kyungdon Joo, Junsik Kim, Jaesik Park, In-So Kweon:
A fusion approach for robust visual object tracking in crowd scenes. URAI 2014: 558-560 - [c9]Tae Hyun Oh, In-So Kweon:
A simple and real-time moving object detection invariant to cast shadow. URAI 2014: 681-682 - 2013
- [c8]Tae Hyun Oh, Hyeongwoo Kim, Yu-Wing Tai, Jean-Charles Bazin, In-So Kweon:
Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision. ICCV 2013: 145-152 - [c7]Tae Hyun Oh, Joon-Young Lee, In-So Kweon:
High dynamic range imaging by a rank-1 constraint. ICIP 2013: 790-794 - [c6]Kyungdon Joo, Tae Hyun Oh, Hyeongwoo Kim, In-So Kweon:
Hierarchical 3D line restoration based on angular proximity in structured environments. ICIP 2013: 2158-2162 - [c5]Won-Jin Kim, Tae Hyun Oh, Kyungdon Joo, In-So Kweon:
Patch-based robust L1 tracker to dynamic appearance change. URAI 2013: 268-273 - [c4]Kyungdon Joo, Tae Hyun Oh, In-So Kweon:
L1-based photometric stereo via augmented lagrange multiplier method. URAI 2013: 615-616 - 2012
- [c3]Jaesik Park, Tae Hyun Oh, Jiyoung Jung, Yu-Wing Tai, In-So Kweon:
A Tensor Voting Approach for Multi-view 3D Scene Flow Estimation and Refinement. ECCV (4) 2012: 288-302 - [c2]Tae Hyun Oh, Joon-Young Lee, In-So Kweon:
Real-time motion detection based on Discrete Cosine Transform. ICIP 2012: 2381-2384 - [c1]Dong-Geol Choi, Inwook Shim, Yunsu Bok, Tae Hyun Oh, In-So Kweon:
Autonomous homing based on laser-camera fusion system. IROS 2012: 2512-2518
Coauthor Index
In-So Kweon
aka: In So Kweon
aka: In So Kweon
[j23] [c54] [i51] [j14] [j13] [i34] [j11] [j10] [c41] [c40] [i24] [j9] [j8] [j7] [c39] [c38] [c36] [c35] [i22] [i21] [i19] [i18] [i17] [j6] [j5] [c32] [c30] [c29] [c28] [c27] [c25] [c24] [i15] [i14] [c23] [c22] [i10] [i9] [i8] [i7] [i6] [j3] [c21] [c20] [c19] [c18] [i5] [i4] [j2] [j1] [c17] [c16] [c15] [c14] [i3] [i2] [i1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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