High quality depth map upsampling for 3D-TOF cameras. - Jaesik Park; Hyeongwoo Kim; Yu-Wing Tai; Michael S. Brown; In-So Kweon (ICCV, 2011)

A novel 2.5D pattern for extrinsic calibration of ToF and camera fusion system. - Jiyoung Jung; Yekeun Jeong; Jaesik Park; Hyowon Ha; James Dokyoon Kim; In-So Kweon (IROS, 2011)

Identigram/watermark removal using cross-channel correlation. - Jaesik Park; Yu-Wing Tai; In-So Kweon (CVPR, 2012)

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)

Modeling photo composition and its application to photo re-arrangement. - Jaesik Park; Joon-Young Lee; Yu-Wing Tai; In-So Kweon (ICIP, 2012)

Robust Computer Vision Techniques for High-Quality 3D Modeling. - Joon-Young Lee; Jiyoung Jung; Yunsu Bok; Jaesik Park; Dong-Geol Choi; Yudeog Han; In-So Kweon (ACPR, 2013)

Multiview Photometric Stereo Using Planar Mesh Parameterization. - Jaesik Park; Sudipta N. Sinha; Yasuyuki Matsushita; Yu-Wing Tai; In-So Kweon (ICCV, 2013)

Appearance-based gaze estimation using kinect. - Jinsoo Choi; Byungtae Ahn; Jaesik Park; In-So Kweon (URAI, 2013)

Real-Time Head Orientation from a Monocular Camera Using Deep Neural Network. - Byungtae Ahn; Jaesik Park; In-So Kweon (ACCV (3), 2014)

Exploiting Shading Cues in Kinect IR Images for Geometry Refinement. - Gyeongmin Choe; Jaesik Park; Yu-Wing Tai; In-So Kweon (CVPR, 2014)

Calibrating a Non-isotropic Near Point Light Source Using a Plane. - Jaesik Park; Sudipta N. Sinha; Yasuyuki Matsushita; Yu-Wing Tai; In-So Kweon (CVPR, 2014)

GMM-based saliency aggregation for calibration-free gaze estimation. - Jinsoo Choi; Byungtae Ahn; Jaesik Park; In-So Kweon (ICIP, 2014)

RGBD sensor and mirrors: A practical setup for 3D reconstruction of dynamic objects. - Min-Hyun Kim; Jaesik Park; In-So Kweon (URAI, 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)

High-Quality Depth Map Upsampling and Completion for RGB-D Cameras. - Jaesik Park; Hyeongwoo Kim; Yu-Wing Tai; Michael S. Brown; In-So Kweon (IEEE Trans. Image Process., 2014)

Dense Depth and Albedo from a Single-Shot Structured Light. - Hyowon Ha; Jaesik Park; In-So Kweon (3DV, 2015)

Multispectral pedestrian detection: Benchmark dataset and baseline. - Soonmin Hwang; Jaesik Park; Namil Kim; Yukyung Choi; In So Kweon (CVPR, 2015)

Accurate depth map estimation from a lenslet light field camera. - Hae-Gon Jeon; Jaesik Park; Gyeongmin Choe; Jinsun Park; Yunsu Bok; Yu-Wing Tai; In So Kweon (CVPR, 2015)

High-Quality Depth from Uncalibrated Small Motion Clip. - Hyowon Ha; Sunghoon Im; Jaesik Park; Hae-Gon Jeon; In-So Kweon (CVPR, 2016)

Efficient and Robust Color Consistency for Community Photo Collections. - Jaesik Park; Yu-Wing Tai; Sudipta N. Sinha; In-So Kweon (CVPR, 2016)

Fast Global Registration. - Qian-Yi Zhou; Jaesik Park; Vladlen Koltun (ECCV (2), 2016)

Vision system and depth processing for DRC-HUBO+. - Inwook Shim; Seunghak Shin; Yunsu Bok; Kyungdon Joo; Dong-Geol Choi; Joon-Young Lee; Jaesik Park; Jun-Ho Oh; In-So Kweon (ICRA, 2016)

Multi-View Object Extraction With Fractional Boundaries. - Seong-Heum Kim; Yu-Wing Tai; Jaesik Park; In So Kweon (IEEE Trans. Image Process., 2016)

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms. - Ole Johannsen; Katrin Honauer; Bastian Goldluecke; Anna Alperovich; Federica Battisti; Yunsu Bok; Michele Brizzi; Marco Carli; Gyeongmin Choe; Maximilian Diebold; Marcel Gutsche; Hae-Gon Jeon; et al. (CVPR Workshops, 2017)

Colored Point Cloud Registration Revisited. - Jaesik Park; Qian-Yi Zhou; Vladlen Koltun (ICCV, 2017)

Category-Specific Salient View Selection via Deep Convolutional Neural Networks. - Seong-Heum Kim; Yu-Wing Tai; Joon-Young Lee; Jaesik Park; In So Kweon (Comput. Graph. Forum, 2017)

Refining Geometry from Depth Sensors using IR Shading Images. - Gyeongmin Choe; Jaesik Park; Yu-Wing Tai; In So Kweon (Int. J. Comput. Vis., 2017)

Robust Multiview Photometric Stereo Using Planar Mesh Parameterization. - Jaesik Park; Sudipta N. Sinha; Yasuyuki Matsushita; Yu-Wing Tai; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Tanks and temples: benchmarking large-scale scene reconstruction. - Arno Knapitsch; Jaesik Park; Qian-Yi Zhou; Vladlen Koltun (ACM Trans. Graph., 2017)

Tangent Convolutions for Dense Prediction in 3D. - Maxim Tatarchenko; Jaesik Park; Vladlen Koltun; Qian-Yi Zhou (CVPR, 2018)

Open3D: A Modern Library for 3D Data Processing. - Qian-Yi Zhou; Jaesik Park; Vladlen Koltun (CoRR, 2018)

HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset. - Zhixuan Yu; Jae Shin Yoon; Prashanth Venkatesh; Jaesik Park; Jihun Yu; Hyun Soo Park (CoRR, 2018)

Real-time head pose estimation using multi-task deep neural network. - Byungtae Ahn; Dong-Geol Choi; Jaesik Park; In So Kweon (Robotics Auton. Syst., 2018)

Fully Convolutional Geometric Features. - Christopher B. Choy; Jaesik Park; Vladlen Koltun (ICCV, 2019)

GPU Accelerated Robust Scene Reconstruction. - Wei Dong; Jaesik Park; Yi Yang; Michael Kaess (IROS, 2019)

Global Texture Mapping for Dynamic Objects. - Jungeon Kim; Hyomin Kim; Jaesik Park; Seungyong Lee 001 (Comput. Graph. Forum, 2019)

Depth from a Light Field Image with Learning-Based Matching Costs. - Hae-Gon Jeon; Jaesik Park; Gyeongmin Choe; Jinsun Park; Yunsu Bok; Yu-Wing Tai; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

High-Dimensional Convolutional Networks for Geometric Pattern Recognition. - Christopher B. Choy; Junha Lee; René Ranftl; Jaesik Park; Vladlen Koltun (CVPR, 2020)

Future Video Synthesis With Object Motion Prediction. - Yue Wu 012; Rongrong Gao; Jaesik Park; Qifeng Chen (CVPR, 2020)

HUMBI: A Large Multiview Dataset of Human Body Expressions. - Zhixuan Yu; Jae Shin Yoon; In Kyu Lee; Prashanth Venkatesh; Jaesik Park; Jihun Yu; Hyun Soo Park (CVPR, 2020)

ContraGAN: Contrastive Learning for Conditional Image Generation. - Minguk Kang; Jaesik Park (NeurIPS, 2020)

Combinatorial 3D Shape Generation via Sequential Assembly. - Jungtaek Kim 001; Hyunsoo Chung; Minsu Cho; Jaesik Park (CoRR, 2020)

Contrastive Generative Adversarial Networks. - Minguk Kang; Jaesik Park (CoRR, 2020)

Self-Supervised Real-time Video Stabilization. - Jinsoo Choi; Jaesik Park; In So Kweon (BMVC, 2021)

Self-Calibrating Neural Radiance Fields. - Yoonwoo Jeong; Seokjun Ahn; Christopher B. Choy; Animashree Anandkumar; Minsu Cho; Jaesik Park (ICCV, 2021)

Deep Virtual Markers for Articulated 3D Shapes. - Hyomin Kim; Jungeon Kim; Jaewon Kam; Jaesik Park; Seungyong Lee 001 (ICCV, 2021)

Deep Hough Voting for Robust Global Registration. - Junha Lee; Seungwook Kim 005; Minsu Cho; Jaesik Park (ICCV, 2021)

Stad: Stable Video Depth Estimation. - Hyunmin Lee 001; Jaesik Park (ICIP, 2021)

Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. - Hyunsoo Chung; Jungtaek Kim 001; Boris Knyazev 001; Jinhwi Lee; Graham W. Taylor; Jaesik Park; Minsu Cho (NeurIPS, 2021)

Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. - Minguk Kang; Woohyeon Shim; Minsu Cho; Jaesik Park (NeurIPS, 2021)

High-quality Frame Interpolation via Tridirectional Inference. - Jinsoo Choi; Jaesik Park; In So Kweon (WACV, 2021)

Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera. - Hyomin Kim; Jungeon Kim; Hyeonseo Nam; Jaesik Park; Seungyong Lee 001 (Comput. Graph. Forum, 2021)

Realistic Image Synthesis with Configurable 3D Scene Layouts. - Jaebong Jeong; Janghun Jo; Jingdong Wang 001; Sunghyun Cho; Jaesik Park (CoRR, 2021)

Instance-wise Occlusion and Depth Orders in Natural Scenes. - Hyunmin Lee; Jaesik Park (CoRR, 2021)

Putting 3D Spatially Sparse Networks on a Diet. - Junha Lee; Christopher B. Choy; Jaesik Park (CoRR, 2021)

Real-time Registration and Reconstruction with Cylindrical LiDAR Images. - Wei Dong; Kwonyoung Ryu; Michael Kaess; Jaesik Park (CoRR, 2021)

3D Scene Painting via Semantic Image Synthesis. - Jaebong Jeong; Janghun Jo; Sunghyun Cho; Jaesik Park (CVPR, 2022)

Instance-wise Occlusion and Depth Orders in Natural Scenes. - Hyunmin Lee 001; Jaesik Park (CVPR, 2022)

Fast Point Transformer. - Chunghyun Park; Yoonwoo Jeong; Minsu Cho; Jaesik Park (CVPR, 2022)

PointMixer: MLP-Mixer for Point Cloud Understanding. - Jaesung Choe; Chunghyun Park; François Rameau; Jaesik Park; In So Kweon (ECCV (27), 2022)

CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image. - Jaewon Kam; Jungeon Kim; Soongjin Kim; Jaesik Park; Seungyong Lee 001 (ECCV (2), 2022)

Style-Agnostic Reinforcement Learning. - Juyong Lee; Seokjun Ahn; Jaesik Park (ECCV (39), 2022)

Deep Point Cloud Reconstruction. - Jaesung Choe; Byeongin Joung; François Rameau; Jaesik Park; In So Kweon (ICLR, 2022)

Learning to Assemble Geometric Shapes. - Jinhwi Lee; Jungtaek Kim 001; Hyunsoo Chung; Jaesik Park; Minsu Cho (IJCAI, 2022)

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. - Seunghyuk Cho; Juyong Lee; Jaesik Park; Dongwoo Kim 002 (NeurIPS, 2022)

PeRFception: Perception using Radiance Fields. - Yoonwoo Jeong; Seungjoo Shin; Junha Lee; Christopher B. Choy; Anima Anandkumar; Minsu Cho; Jaesik Park (NeurIPS, 2022)

Learning Debiased Classifier with Biased Committee. - Nayeong Kim; Sehyun Hwang; Sungsoo Ahn; Jaesik Park; Suha Kwak (NeurIPS, 2022)

Learning to Register Unbalanced Point Pairs. - Kanghee Lee; Junha Lee; Jaesik Park (CoRR, 2022)

Sequential Brick Assembly with Efficient Constraint Satisfaction. - Seokjun Ahn; Jungtaek Kim 001; Minsu Cho; Jaesik Park (CoRR, 2022)

Substructure-Atom Cross Attention for Molecular Representation Learning. - Jiye Kim; Seungbeom Lee; Dongwoo Kim 002; Sungsoo Ahn; Jaesik Park (CoRR, 2022)

Context-Aware Image Completion. - Jinoh Cho; Minguk Kang; Vibhav Vineet; Jaesik Park (CoRR, 2022)

TextureMe: High-Quality Textured Scene Reconstruction in Real Time. - Jungeon Kim; Hyomin Kim; Hyeonseo Nam; Jaesik Park; Seungyong Lee 001 (ACM Trans. Graph., 2022)

LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction. - Hyomin Kim; Hyeonseo Nam; Jungeon Kim; Jaesik Park; Seungyong Lee 001 (ACM Trans. Graph., 2022)

Scaling up GANs for Text-to-Image Synthesis. - Minguk Kang; Jun-Yan Zhu; Richard Zhang 001; Jaesik Park; Eli Shechtman; Sylvain Paris; Taesung Park (CVPR, 2023)

Instant Domain Augmentation for LiDAR Semantic Segmentation. - Kwonyoung Ryu; Soonmin Hwang; Jaesik Park (CVPR, 2023)

Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction. - Jaesung Choe; Christopher B. Choy; Jaesik Park; In So Kweon; Anima Anandkumar (ICCV, 2023)

Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. - Seungwook Kim 005; Chunghyun Park; Yoonwoo Jeong; Jaesik Park; Minsu Cho (ICML, 2023)

Scene-level Point Cloud Colorization with Semantics-and-geometry-aware Networks. - Rongrong Gao; Tian-Zhu Xiang; Chenyang Lei; Jaesik Park; Qifeng Chen (ICRA, 2023)

Binary Radiance Fields. - Seungjoo Shin; Jaesik Park (NeurIPS, 2023)

Fill-Up: Balancing Long-Tailed Data with Generative Models. - Joonghyuk Shin; Minguk Kang; Jaesik Park (CoRR, 2023)

RISCLIP: Referring Image Segmentation Framework using CLIP. - Seoyeon Kim; Minguk Kang; Jaesik Park (CoRR, 2023)

HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge. - Jae Shin Yoon; Zhixuan Yu; Jaesik Park; Hyun Soo Park (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis. - Minguk Kang; Joonghyuk Shin; Jaesik Park (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Pick-or-Mix: Dynamic Channel Sampling for ConvNets. - Ashish Kumar 006; Daneul Kim; Jaesik Park; Laxmidhar Behera (CVPR, 2024)

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. - Chunghyun Park; Seungwook Kim; Jaesik Park; Minsu Cho (CVPR, 2024)

Distilling Diffusion Models Into Conditional GANs. - Minguk Kang; Richard Zhang 001; Connelly Barnes; Sylvain Paris; Suha Kwak; Jaesik Park; Eli Shechtman; Jun-Yan Zhu; Taesung Park (ECCV (28), 2024)

Deep Cost Ray Fusion for Sparse Depth Video Completion. - Jungeon Kim; Soongjin Kim; Jaesik Park; Seungyong Lee 001 (ECCV (26), 2024)

3D Geometric Shape Assembly via Efficient Point Cloud Matching. - Nahyuk Lee; Juhong Min; Junha Lee; Seungwook Kim; Kanghee Lee; Jaesik Park; Minsu Cho (ICML, 2024)

Extending CLIP's Image-Text Alignment to Referring Image Segmentation. - Seoyeon Kim; Minguk Kang; Dongwon Kim; Jaesik Park; Suha Kwak (NAACL-HLT, 2024)

InstantDrag: Improving Interactivity in Drag-based Image Editing. - Joonghyuk Shin; Daehyeon Choi; Jaesik Park (SIGGRAPH Asia, 2024)

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. - Chunghyun Park; Seungwook Kim 005; Jaesik Park; Minsu Cho (CoRR, 2024)

360 in the Wild: Dataset for Depth Prediction and View Synthesis. - Kibaek Park; François Rameau; Jaesik Park; In So Kweon (CoRR, 2024)

KISS-Matcher: Fast and Robust Point Cloud Registration Revisited. - Hyungtae Lim; Daebeom Kim; Gunhee Shin; Jingnan Shi; Ignacio Vizzo; Hyun Myung; Jaesik Park; Luca Carlone (CoRR, 2024)

Cross Resolution Encoding-Decoding For Detection Transformers. - Ashish Kumar 006; Jaesik Park (CoRR, 2024)

Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction. - Seokjun Ahn; Jungtaek Kim 001; Minsu Cho; Jaesik Park (Trans. Mach. Learn. Res., 2024)

High-Speed Stereo Visual SLAM for Low-Powered Computing Devices. - Ashish Kumar 006; Jaesik Park; Laxmidhar Behera (IEEE Robotics Autom. Lett., 2024)

3Doodle: Compact Abstraction of Objects with 3D Strokes. - Changwoon Choi; Jaeah Lee; Jaesik Park; Young Min Kim 001 (ACM Trans. Graph., 2024)

ShowMak3r: Compositional TV Show Reconstruction. - Sangmin Kim; Seunguk Do; Jaesik Park (CVPR, 2025)

Improving Editability in Image Generation with Layer-wise Memory. - Daneul Kim; Jaeah Lee; Jaesik Park (CVPR, 2025)

Recovering Dynamic 3D Sketches from Videos. - Jaeah Lee; Changwoon Choi; Young Min Kim; Jaesik Park (CVPR, 2025)

Designing Concise ConvNets with Columnar Stages. - Ashish Kumar 006; Jaesik Park (ICLR, 2025)

Locality-aware Gaussian Compression for Fast and High-quality Rendering. - Seungjoo Shin; Jaesik Park; Sunghyun Cho (ICLR, 2025)

One-cycle Structured Pruning with Stability Driven Structure Search. - Deepak Ghimire; Dayoung Kil; Seonghwan Jeong; Jaesik Park; Seong-Heum Kim (CoRR, 2025)

BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes. - Minkyun Seo; Hyungtae Lim; Kanghee Lee; Luca Carlone; Jaesik Park (CoRR, 2025)

Targetless LiDAR-Camera Calibration with Anchored 3D Gaussians. - Haebeom Jung; Namtae Kim; Jungwoo Kim; Jaesik Park (CoRR, 2025)

Subject-driven Video Generation via Disentangled Identity and Motion. - Daneul Kim; Jingxu Zhang; Wonjoon Jin; Sunghyun Cho; Qi Dai; Jaesik Park; Chong Luo (CoRR, 2025)

Metropolis-Hastings Sampling for 3D Gaussian Reconstruction. - Hyunjin Kim; Haebeom Jung; Jaesik Park (CoRR, 2025)

JAM-Flow: Joint Audio-Motion Synthesis with Flow Matching. - Mingi Kwon; Joonghyuk Shin; Jaeseok Jung; Jaesik Park; Youngjung Uh (CoRR, 2025)

CF3: Compact and Fast 3D Feature Fields. - Hyunjoon Lee; Joonkyu Min; Jaesik Park (CoRR, 2025)

Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing. - Joonghyuk Shin; Alchan Hwang; Yujin Kim; Daneul Kim; Jaesik Park (CoRR, 2025)