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Jaesik Park
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2020 – today
- 2024
- [j16]Ashish Kumar
, Jaesik Park
High-Speed Stereo Visual SLAM for Low-Powered Computing Devices. IEEE Robotics Autom. Lett. 9(1): 499-506 (2024) - [j15]Changwoon Choi
3Doodle: Compact Abstraction of Objects with 3D Strokes. ACM Trans. Graph. 43(4): 107:1-107:13 (2024) - [c61]Ashish Kumar, Daneul Kim, Jaesik Park, Laxmidhar Behera:
Pick-or-Mix: Dynamic Channel Sampling for ConvNets. CVPR 2024: 5873-5882 - [c60]Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho:
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. CVPR 2024: 22978-22987 - [c59]Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee:
Deep Cost Ray Fusion for Sparse Depth Video Completion. ECCV (26) 2024: 328-346 - [c58]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models Into Conditional GANs. ECCV (28) 2024: 428-447 - [c57]Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho:
3D Geometric Shape Assembly via Efficient Point Cloud Matching. ICML 2024 - [c56]Seoyeon Kim, Minguk Kang, Dongwon Kim, Jaesik Park, Suha Kwak:
Extending CLIP's Image-Text Alignment to Referring Image Segmentation. NAACL-HLT 2024: 4611-4628 - [i53]Changwoon Choi, Jaeah Lee, Jaesik Park, Young Min Kim:
3Doodle: Compact Abstraction of Objects with 3D Strokes. CoRR abs/2402.03690 (2024) - [i52]Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho:
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. CoRR abs/2404.11156 (2024) - [i51]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models into Conditional GANs. CoRR abs/2405.05967 (2024) - [i50]Ashish Kumar, Daneul Kim, Jaesik Park, Laxmidhar Behera
Pick-or-Mix: Dynamic Channel Sampling for ConvNets. CoRR abs/2406.10935 (2024) - [i49]Kibaek Park, François Rameau, Jaesik Park, In So Kweon:
360 in the Wild: Dataset for Depth Prediction and View Synthesis. CoRR abs/2406.18898 (2024) - [i48]Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho:
3D Geometric Shape Assembly via Efficient Point Cloud Matching. CoRR abs/2407.10542 (2024) - [i47]Joonghyuk Shin, Daehyeon Choi, Jaesik Park:
InstantDrag: Improving Interactivity in Drag-based Image Editing. CoRR abs/2409.08857 (2024) - [i46]Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee:
Deep Cost Ray Fusion for Sparse Depth Video Completion. CoRR abs/2409.14935 (2024) - [i45]Hyungtae Lim, Daebeom Kim, Gunhee Shin, Jingnan Shi, Ignacio Vizzo, Hyun Myung, Jaesik Park, Luca Carlone:
KISS-Matcher: Fast and Robust Point Cloud Registration Revisited. CoRR abs/2409.15615 (2024) - [i44]Ashish Kumar, Jaesik Park:
Cross Resolution Encoding-Decoding For Detection Transformers. CoRR abs/2410.04088 (2024) - [i43]Ashish Kumar, Jaesik Park:
Designing Concise ConvNets with Columnar Stages. CoRR abs/2410.04089 (2024) - [i42]Ashish Kumar, Jaesik Park, Laxmidhar Behera:
High-Speed Stereo Visual SLAM for Low-Powered Computing Devices. CoRR abs/2410.04090 (2024) - 2023
- [j14]Jae Shin Yoon
HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 623-640 (2023) - [j13]Minguk Kang
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15725-15742 (2023) - [c55]Kwonyoung Ryu, Soonmin Hwang
Instant Domain Augmentation for LiDAR Semantic Segmentation. CVPR 2023: 9350-9360 - [c54]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CVPR 2023: 10124-10134 - [c53]Jaesung Choe, Christopher B. Choy, Jaesik Park, In So Kweon, Anima Anandkumar:
Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction. ICCV 2023: 17825-17835 - [c52]Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho:
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. ICML 2023: 16787-16806 - [c51]Rongrong Gao, Tian-Zhu Xiang, Chenyang Lei, Jaesik Park, Qifeng Chen:
Scene-level Point Cloud Colorization with Semantics-and-geometry-aware Networks. ICRA 2023: 2818-2824 - [c50]Seungjoo Shin, Jaesik Park:
Binary Radiance Fields. NeurIPS 2023 - [i41]Hyomin Kim, Hyeonseo Nam, Jungeon Kim
LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction. CoRR abs/2302.14251 (2023) - [i40]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CoRR abs/2303.05511 (2023) - [i39]Kwonyoung Ryu, Soonmin Hwang, Jaesik Park:
Instant Domain Augmentation for LiDAR Semantic Segmentation. CoRR abs/2303.14378 (2023) - [i38]Joonghyuk Shin, Minguk Kang, Jaesik Park:
Fill-Up: Balancing Long-Tailed Data with Generative Models. CoRR abs/2306.07200 (2023) - [i37]Seungjoo Shin, Jaesik Park:
Binary Radiance Fields. CoRR abs/2306.07581 (2023) - [i36]Seoyeon Kim, Minguk Kang, Jaesik Park:
RISCLIP: Referring Image Segmentation Framework using CLIP. CoRR abs/2306.08498 (2023) - [i35]Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho:
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. CoRR abs/2306.11406 (2023) - 2022
- [j12]Jungeon Kim
TextureMe: High-Quality Textured Scene Reconstruction in Real Time. ACM Trans. Graph. 41(3): 24:1-24:18 (2022) - [j11]Hyomin Kim, Hyeonseo Nam, Jungeon Kim
LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction. ACM Trans. Graph. 41(6): 216:1-216:14 (2022) - [c49]Jaebong Jeong, Janghun Jo, Sunghyun Cho, Jaesik Park:
3D Scene Painting via Semantic Image Synthesis. CVPR 2022: 2252-2262 - [c48]Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park:
Fast Point Transformer. CVPR 2022: 16928-16937 - [c47]Hyunmin Lee, Jaesik Park:
Instance-wise Occlusion and Depth Orders in Natural Scenes. CVPR 2022: 21178-21189 - [c46]Jaewon Kam
CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image. ECCV (2) 2022: 257-274 - [c45]Juyong Lee
Style-Agnostic Reinforcement Learning. ECCV (39) 2022: 604-620 - [c44]Jaesung Choe
PointMixer: MLP-Mixer for Point Cloud Understanding. ECCV (27) 2022: 620-640 - [c43]Jaesung Choe, Byeongin Joung, François Rameau, Jaesik Park, In So Kweon:
Deep Point Cloud Reconstruction. ICLR 2022 - [c42]Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho:
Learning to Assemble Geometric Shapes. IJCAI 2022: 1046-1052 - [c41]Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim:
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. NeurIPS 2022 - [c40]Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Anima Anandkumar, Minsu Cho, Jaesik Park:
PeRFception: Perception using Radiance Fields. NeurIPS 2022 - [c39]Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak:
Learning Debiased Classifier with Biased Committee. NeurIPS 2022 - [i34]Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho:
Learning to Assemble Geometric Shapes. CoRR abs/2205.11809 (2022) - [i33]Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim:
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. CoRR abs/2205.13371 (2022) - [i32]Minguk Kang, Joonghyuk Shin, Jaesik Park:
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis. CoRR abs/2206.09479 (2022) - [i31]Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak:
Learning Debiased Classifier with Biased Committee. CoRR abs/2206.10843 (2022) - [i30]Kanghee Lee, Junha Lee, Jaesik Park:
Learning to Register Unbalanced Point Pairs. CoRR abs/2207.04221 (2022) - [i29]Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park:
PeRFception: Perception using Radiance Fields. CoRR abs/2208.11537 (2022) - [i28]Juyong Lee, Seokjun Ahn, Jaesik Park:
Style-Agnostic Reinforcement Learning. CoRR abs/2208.14863 (2022) - [i27]Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park:
Sequential Brick Assembly with Efficient Constraint Satisfaction. CoRR abs/2210.01021 (2022) - [i26]Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park:
Substructure-Atom Cross Attention for Molecular Representation Learning. CoRR abs/2210.08243 (2022) - [i25]Jinoh Cho, Minguk Kang, Vibhav Vineet, Jaesik Park:
Context-Aware Image Completion. CoRR abs/2210.12350 (2022) - 2021
- [j10]Hyomin Kim
Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera. Comput. Graph. Forum 40(2): 523-535 (2021) - [c38]Jinsoo Choi, Jaesik Park, In So Kweon:
Self-Supervised Real-time Video Stabilization. BMVC 2021: 398 - [c37]Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park:
Self-Calibrating Neural Radiance Fields. ICCV 2021: 5826-5834 - [c36]Hyomin Kim, Jungeon Kim
Deep Virtual Markers for Articulated 3D Shapes. ICCV 2021: 11595-11605 - [c35]Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park:
Deep Hough Voting for Robust Global Registration. ICCV 2021: 15974-15983 - [c34]Hyunmin Lee, Jaesik Park:
Stad: Stable Video Depth Estimation. ICIP 2021: 3213-3217 - [c33]Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho:
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. NeurIPS 2021: 5745-5757 - [c32]Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park:
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. NeurIPS 2021: 23505-23518 - [c31]Jinsoo Choi, Jaesik Park, In So Kweon:
High-quality Frame Interpolation via Tridirectional Inference. WACV 2021: 596-604 - [i24]Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee:
Deep Virtual Markers for Articulated 3D Shapes. CoRR abs/2108.09000 (2021) - [i23]Hyomin Kim, Jungeon Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee:
Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera. CoRR abs/2108.09007 (2021) - [i22]Jaebong Jeong, Janghun Jo, Jingdong Wang, Sunghyun Cho, Jaesik Park:
Realistic Image Synthesis with Configurable 3D Scene Layouts. CoRR abs/2108.10031 (2021) - [i21]Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park:
Self-Calibrating Neural Radiance Fields. CoRR abs/2108.13826 (2021) - [i20]Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park:
Deep Hough Voting for Robust Global Registration. CoRR abs/2109.04310 (2021) - [i19]Jae Shin Yoon, Zhixuan Yu, Jaesik Park, Hyun Soo Park:
HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge. CoRR abs/2110.00119 (2021) - [i18]Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho:
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. CoRR abs/2110.15481 (2021) - [i17]Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park:
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. CoRR abs/2111.01118 (2021) - [i16]Jinsoo Choi, Jaesik Park, In So Kweon:
Self-Supervised Real-time Video Stabilization. CoRR abs/2111.05980 (2021) - [i15]Jaesung Choe, Chunghyun Park, François Rameau, Jaesik Park, In So Kweon:
PointMixer: MLP-Mixer for Point Cloud Understanding. CoRR abs/2111.11187 (2021) - [i14]Jaesung Choe, Byeongin Joung, François Rameau, Jaesik Park, In So Kweon:
Deep Point Cloud Reconstruction. CoRR abs/2111.11704 (2021) - [i13]Hyunmin Lee, Jaesik Park:
Instance-wise Occlusion and Depth Orders in Natural Scenes. CoRR abs/2111.14562 (2021) - [i12]Junha Lee, Christopher B. Choy, Jaesik Park:
Putting 3D Spatially Sparse Networks on a Diet. CoRR abs/2112.01316 (2021) - [i11]Wei Dong, Kwonyoung Ryu, Michael Kaess, Jaesik Park:
Real-time Registration and Reconstruction with Cylindrical LiDAR Images. CoRR abs/2112.02779 (2021) - [i10]Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park:
Fast Point Transformer. CoRR abs/2112.04702 (2021) - 2020
- [c30]Zhixuan Yu, Jae Shin Yoon, In Kyu Lee, Prashanth Venkatesh, Jaesik Park
HUMBI: A Large Multiview Dataset of Human Body Expressions. CVPR 2020: 2987-2997 - [c29]Yue Wu, Rongrong Gao, Jaesik Park
Future Video Synthesis With Object Motion Prediction. CVPR 2020: 5538-5547 - [c28]Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park
High-Dimensional Convolutional Networks for Geometric Pattern Recognition. CVPR 2020: 11224-11233 - [c27]Minguk Kang, Jaesik Park:
ContraGAN: Contrastive Learning for Conditional Image Generation. NeurIPS 2020 - [i9]Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen:
Future Video Synthesis with Object Motion Prediction. CoRR abs/2004.00542 (2020) - [i8]Jungtaek Kim, Hyunsoo Chung, Minsu Cho, Jaesik Park:
Combinatorial 3D Shape Generation via Sequential Assembly. CoRR abs/2004.07414 (2020) - [i7]Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun:
High-dimensional Convolutional Networks for Geometric Pattern Recognition. CoRR abs/2005.08144 (2020) - [i6]Minguk Kang, Jaesik Park:
Contrastive Generative Adversarial Networks. CoRR abs/2006.12681 (2020)
2010 – 2019
- 2019
- [j9]Jungeon Kim
Global Texture Mapping for Dynamic Objects. Comput. Graph. Forum 38(7): 697-705 (2019) - [j8]Hae-Gon Jeon
Depth from a Light Field Image with Learning-Based Matching Costs. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 297-310 (2019) - [c26]Christopher B. Choy, Jaesik Park
Fully Convolutional Geometric Features. ICCV 2019: 8957-8965 - [c25]Wei Dong, Jaesik Park
GPU Accelerated Robust Scene Reconstruction. IROS 2019: 7863-7870 - 2018
- [j7]Byungtae Ahn, Dong-Geol Choi, Jaesik Park
Real-time head pose estimation using multi-task deep neural network. Robotics Auton. Syst. 103: 1-12 (2018) - [c24]Maxim Tatarchenko, Jaesik Park
Tangent Convolutions for Dense Prediction in 3D. CVPR 2018: 3887-3896 - [i5]Qian-Yi Zhou, Jaesik Park, Vladlen Koltun:
Open3D: A Modern Library for 3D Data Processing. CoRR abs/1801.09847 (2018) - [i4]Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou:
Tangent Convolutions for Dense Prediction in 3D. CoRR abs/1807.02443 (2018) - [i3]Zhixuan Yu, Jae Shin Yoon, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park:
HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset. CoRR abs/1812.00281 (2018) - 2017
- [j6]Seong-Heum Kim, Yu-Wing Tai
Category-Specific Salient View Selection via Deep Convolutional Neural Networks. Comput. Graph. Forum 36(8): 313-328 (2017) - [j5]Gyeongmin Choe, Jaesik Park
Refining Geometry from Depth Sensors using IR Shading Images. Int. J. Comput. Vis. 122(1): 1-16 (2017) - [j4]Jaesik Park
Robust Multiview Photometric Stereo Using Planar Mesh Parameterization. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1591-1604 (2017) - [j3]Arno Knapitsch, Jaesik Park
Tanks and temples: benchmarking large-scale scene reconstruction. ACM Trans. Graph. 36(4): 78:1-78:13 (2017) - [c23]Ole Johannsen, Katrin Honauer
A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms. CVPR Workshops 2017: 1795-1812 - [c22]Jaesik Park
Colored Point Cloud Registration Revisited. ICCV 2017: 143-152 - 2016
- [j2]Seong-Heum Kim, Yu-Wing Tai
Multi-View Object Extraction With Fractional Boundaries. IEEE Trans. Image Process. 25(8): 3639-3654 (2016) - [c21]Jaesik Park
Efficient and Robust Color Consistency for Community Photo Collections. CVPR 2016: 430-438 - [c20]Hyowon Ha, Sunghoon Im, Jaesik Park
High-Quality Depth from Uncalibrated Small Motion Clip. CVPR 2016: 5413-5421 - [c19]Qian-Yi Zhou, Jaesik Park
Fast Global Registration. ECCV (2) 2016: 766-782 - [c18]Inwook Shim
Vision system and depth processing for DRC-HUBO+. ICRA 2016: 2456-2463 - [i2]Gyeongmin Choe, Jaesik Park, Yu-Wing Tai, In So Kweon:
Refining Geometry from Depth Sensors using IR Shading Images. CoRR abs/1608.05204 (2016) - 2015
- [c17]Hyowon Ha, Jaesik Park
Dense Depth and Albedo from a Single-Shot Structured Light. 3DV 2015: 127-134 - [c16]Soonmin Hwang
Multispectral pedestrian detection: Benchmark dataset and baseline. CVPR 2015: 1037-1045 - [c15]Hae-Gon Jeon
Accurate depth map estimation from a lenslet light field camera. CVPR 2015: 1547-1555 - [i1]Inwook Shim, Seunghak Shin, Yunsu Bok, Kyungdon Joo, Dong-Geol Choi, Joon-Young Lee, Jaesik Park, Jun-Ho Oh, In So Kweon:
Vision System and Depth Processing for DRC-HUBO+. CoRR abs/1509.06114 (2015) - 2014
- [j1]Jaesik Park
High-Quality Depth Map Upsampling and Completion for RGB-D Cameras. IEEE Trans. Image Process. 23(12): 5559-5572 (2014) - [c14]Byungtae Ahn, Jaesik Park
Real-Time Head Orientation from a Monocular Camera Using Deep Neural Network. ACCV (3) 2014: 82-96 - [c13]Jaesik Park
Calibrating a Non-isotropic Near Point Light Source Using a Plane. CVPR 2014: 2267-2274 - [c12]Gyeongmin Choe, Jaesik Park
Exploiting Shading Cues in Kinect IR Images for Geometry Refinement. CVPR 2014: 3922-3929 - [c11]Jinsoo Choi, Byungtae Ahn, Jaesik Park
GMM-based saliency aggregation for calibration-free gaze estimation. ICIP 2014: 1096-1099 - [c10]Tae Hyun Oh
A fusion approach for robust visual object tracking in crowd scenes. URAI 2014: 558-560 - [c9]Min-Hyun Kim, Jaesik Park
RGBD sensor and mirrors: A practical setup for 3D reconstruction of dynamic objects. URAI 2014: 651-652 - 2013
- [c8]Joon-Young Lee, Jiyoung Jung, Yunsu Bok, Jaesik Park
Robust Computer Vision Techniques for High-Quality 3D Modeling. ACPR 2013: 6-10 - [c7]Jaesik Park
Multiview Photometric Stereo Using Planar Mesh Parameterization. ICCV 2013: 1161-1168 - [c6]Jinsoo Choi, Byungtae Ahn, Jaesik Park, In-So Kweon:
Appearance-based gaze estimation using kinect. URAI 2013: 260-261 - 2012
- [c5]Jaesik Park
Identigram/watermark removal using cross-channel correlation. CVPR 2012: 446-453 - [c4]Jaesik Park
A Tensor Voting Approach for Multi-view 3D Scene Flow Estimation and Refinement. ECCV (4) 2012: 288-302 - [c3]Jaesik Park
Modeling photo composition and its application to photo re-arrangement. ICIP 2012: 2741-2744 - 2011
- [c2]Jaesik Park
High quality depth map upsampling for 3D-TOF cameras. ICCV 2011: 1623-1630 - [c1]Jiyoung Jung, Yekeun Jeong, Jaesik Park, Hyowon Ha, James Dokyoon Kim, In-So Kweon:
A novel 2.5D pattern for extrinsic calibration of ToF and camera fusion system. IROS 2011: 3290-3296
Coauthor Index
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