Orientation and scale invariant mean shift using object mask-based kernel. - Kwang Moo Yi; Ho Seok Ahn; Jin Young Choi 002 (ICPR, 2008)

Orientation and Scale Invariant Kernel-Based Object Tracking with Probabilistic Emphasizing. - Kwang Moo Yi; Soo Wan Kim; Jin Young Choi 002 (ACCV (2), 2009)

Recovery Video Stabilization Using MRF-MAP Optimization. - Soo Wan Kim; Kwang Moo Yi; Songhwai Oh; Jin Young Choi 002 (ICPR, 2010)

PIL-EYE: Integrated System for Sustainable Development of Intelligent Visual Surveillance Algorithms. - Hyung Jin Chang; Kwang Moo Yi; Shimin Yin; Soo Wan Kim; Young Min Baek; Ho Seok Ahn; Jin Young Choi 002 (DICTA, 2011)

Visual tracking with dual modeling. - Kwang Moo Yi; Hawook Jeong; Soo Wan Kim; Jin Young Choi 002 (IVCNZ, 2012)

Multiple ground plane estimation for 3D scene understanding using a monocular camera. - Sangdoo Yun; Soo Wan Kim; Kwang Moo Yi; Haan-Ju Yoo; Jin Young Choi 002 (IVCNZ, 2012)

Action Chart: A Representation for Efficient Recognition of Complex Activity. - Hyung Jin Chang; Jiyun Kim; Jungchan Cho; Songhwai Oh; Kwang Moo Yi; Jin Young Choi 002 (BMVC, 2013)

Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device. - Kwang Moo Yi; Kimin Yun; Soo Wan Kim; Hyung Jin Chang; Jin Young Choi 002 (CVPR Workshops, 2013)

Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. - Kwang Moo Yi; Hawook Jeong; Byeongho Heo; Hyung Jin Chang; Jin Young Choi 002 (ICCV, 2013)

Detection of moving objects with a moving camera using non-panoramic background model. - Soo Wan Kim; Kimin Yun; Kwang Moo Yi; Sun Jung Kim; Jin Young Choi 002 (Mach. Vis. Appl., 2013)

Scale preserving PTZ tracking with size estimation using tilt sensory data. - Byeong Ju Lee; Kwang Moo Yi (AVSS, 2014)

The Visual Object Tracking VOT2014 Challenge Results. - Matej Kristan; Roman P. Pflugfelder; Ales Leonardis; Jiri Matas; Luka Cehovin; Georg Nebehay; Tomás Vojír; Gustavo Fernández; Alan Lukezic; Aleksandar Dimitriev; Alfredo Petrosino; Amir Saffari; et al. (ECCV Workshops (2), 2014)

Motion Interaction Field for Accident Detection in Traffic Surveillance Video. - Kimin Yun; Hawook Jeong; Kwang Moo Yi; Soo Wan Kim; Jin Young Choi 002 (ICPR, 2014)

Tracking texture-less, shiny objects with descriptor fields. - Alberto Crivellaro; Yannick Verdie; Kwang Moo Yi; Pascal Fua; Vincent Lepetit (ISMAR, 2014)

Two-stage online inference model for traffic pattern analysis and anomaly detection. - Hawook Jeong; Young Joon Yoo; Kwang Moo Yi; Jin Young Choi 002 (Mach. Vis. Appl., 2014)

TILDE: A Temporally Invariant Learned DEtector. - Yannick Verdie; Kwang Moo Yi; Pascal Fua; Vincent Lepetit (CVPR, 2015)

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images. - Alberto Crivellaro; Mahdi Rad; Yannick Verdie; Kwang Moo Yi; Pascal Fua; Vincent Lepetit (ICCV, 2015)

Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception. - Hawook Jeong; Sangdoo Yun; Kwang Moo Yi; Jin Young Choi 002 (WACV, 2015)

Visual tracking of non-rigid objects with partial occlusion through elastic structure of local patches and hierarchical diffusion. - Kwang Moo Yi; Hawook Jeong; Soo Wan Kim; Shimin Yin; Songhwai Oh; Jin Young Choi 002 (Image Vis. Comput., 2015)

Visual tracking in complex scenes through pixel-wise tri-modeling. - Kwang Moo Yi; Hawook Jeong; Byeongju Lee; Jin Young Choi 002 (Mach. Vis. Appl., 2015)

Erratum to: Visual tracking in complex scenes through pixel-wise tri-modeling. - Kwang Moo Yi; Hawook Jeong; Byeongju Lee; Jin Young Choi 002 (Mach. Vis. Appl., 2015)

Learning to Assign Orientations to Feature Points. - Kwang Moo Yi; Yannick Verdie; Pascal Fua; Vincent Lepetit (CVPR, 2016)

LIFT: Learned Invariant Feature Transform. - Kwang Moo Yi; Eduard Trulls; Vincent Lepetit; Pascal Fua (ECCV (6), 2016)

Learning Lightprobes for Mixed Reality Illumination. - David Mandl; Kwang Moo Yi; Peter Mohr; Peter M. Roth; Pascal Fua; Vincent Lepetit; Dieter Schmalstieg; Denis Kalkofen (ISMAR, 2017)

Authoring and Living Next-Generation Location-Based Experiences. - Olivier Balet; Boriana Koleva; Jens Grubert; Kwang Moo Yi; Marco Gunia; Angelos Katsis; Julien Castet (CoRR, 2017)

Learning to Find Good Correspondences. - Kwang Moo Yi; Eduard Trulls; Yuki Ono; Vincent Lepetit; Mathieu Salzmann; Pascal Fua (CVPR, 2018)

Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. - Zheng Dang; Kwang Moo Yi; Yinlin Hu; Fei Wang 008; Pascal Fua; Mathieu Salzmann (ECCV (5), 2018)

LF-Net: Learning Local Features from Images. - Yuki Ono; Eduard Trulls; Pascal Fua; Kwang Moo Yi (NeurIPS, 2018)

MIST: Multiple Instance Spatial Transformer Network. - Baptiste Angles; Shahram Izadi; Andrea Tagliasacchi; Kwang Moo Yi (CoRR, 2018)

Robust 3D Object Tracking from Monocular Images Using Stable Parts. - Alberto Crivellaro; Mahdi Rad; Yannick Verdie; Kwang Moo Yi; Pascal Fua; Vincent Lepetit (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images. - Abhishake Kumar Bojja; Franziska Mueller 001; Sri Raghu Malireddi; Markus Oberweger; Vincent Lepetit; Christian Theobalt; Kwang Moo Yi; Andrea Tagliasacchi (CRV, 2019)

Beyond Cartesian Representations for Local Descriptors. - Patrick Ebel 002; Eduard Trulls; Kwang Moo Yi; Pascal Fua; Anastasiia Mishchuk (ICCV, 2019)

Linearized Multi-Sampling for Differentiable Image Transformation. - Wei Jiang 034; Weiwei Sun; Andrea Tagliasacchi; Eduard Trulls; Kwang Moo Yi (ICCV, 2019)

Self-Supervised Deep Active Accelerated MRI. - Kyong Hwan Jin; Michael Unser; Kwang Moo Yi (CoRR, 2019)

Attentive Context Normalization for Robust Permutation-Equivariant Learning. - Weiwei Sun; Wei Jiang 034; Eduard Trulls; Andrea Tagliasacchi; Kwang Moo Yi (CoRR, 2019)

Reducing the Human Effort in Developing PET-CT Registration. - Teaghan O'Briain; Kyong Hwan Jin; Hongyoon Choi; Erika Chin; Magdalena Bazalova-Carter; Kwang Moo Yi (CoRR, 2019)

VoronoiNet: General Functional Approximators with Local Support. - Francis Williams; Daniele Panozzo; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2019)

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. - Weiwei Sun; Wei Jiang 034; Eduard Trulls; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2020)

VoronoiNet : General Functional Approximators with Local Support. - Francis Williams; Jérôme Parent-Lévesque; Derek Nowrouzezahrai; Daniele Panozzo; Kwang Moo Yi; Andrea Tagliasacchi (CVPR Workshops, 2020)

Improving Music Transcription by Pre-Stacking A U-Net. - Fabrizio Pedersoli; George Tzanetakis; Kwang Moo Yi (ICASSP, 2020)

Optimizing Through Learned Errors for Accurate Sports Field Registration. - Wei Jiang 034; Juan Camilo Gamboa Higuera; Baptiste Angles; Weiwei Sun; Mehrsan Javan; Kwang Moo Yi (WACV, 2020)

Canonical Capsules: Unsupervised Capsules in Canonical Pose. - Weiwei Sun; Andrea Tagliasacchi; Boyang Deng; Sara Sabour; Soroosh Yazdani; Geoffrey E. Hinton; Kwang Moo Yi (CoRR, 2020)

MIST: Multiple Instance Spatial Transformer. - Baptiste Angles; Yuhe Jin; Simon Kornblith; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2021)

VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning. - Jongwon Choi; Kwang Moo Yi; Jihoon Kim; Jinho Choo; Byoungjip Kim; Jin-Yeop Chang; Youngjune Gwon; Hyung Jin Chang (CVPR, 2021)

DeRF: Decomposed Radiance Fields. - Daniel Rebain; Wei Jiang 034; Soroosh Yazdani; Ke Li 011; Kwang Moo Yi; Andrea Tagliasacchi (CVPR, 2021)

COTR: Correspondence Transformer for Matching Across Images. - Wei Jiang 034; Eduard Trulls; Jan Hosang; Andrea Tagliasacchi; Kwang Moo Yi (ICCV, 2021)

Canonical Capsules: Self-Supervised Capsules in Canonical Pose. - Weiwei Sun; Andrea Tagliasacchi; Boyang Deng; Sara Sabour; Soroosh Yazdani; Geoffrey E. Hinton; Kwang Moo Yi (NeurIPS, 2021)

Deep Medial Fields. - Daniel Rebain; Ke Li 011; Vincent Sitzmann; Soroosh Yazdani; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2021)

Image Matching Across Wide Baselines: From Paper to Practice. - Yuhe Jin; Dmytro Mishkin; Anastasiia Mishchuk; Jiri Matas; Pascal Fua; Kwang Moo Yi; Eduard Trulls (Int. J. Comput. Vis., 2021)

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. - Zheng Dang; Kwang Moo Yi; Yinlin Hu; Fei Wang 008; Pascal Fua; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Bootstrapping Human Optical Flow and Pose. - Aritro Roy Arko; Jim Little 001; Kwang Moo Yi (BMVC, 2022)

A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset. - Eric Hedlin; Helge Rhodin; Kwang Moo Yi (CRV, 2022)

Kubric: A scalable dataset generator. - Klaus Greff; Francois Belletti; Lucas Beyer; Carl Doersch; Yilun Du; Daniel Duckworth; David J. Fleet; Dan Gnanapragasam; Florian Golemo; Charles Herrmann; Thomas Kipf; Abhijit Kundu; et al. (CVPR, 2022)

CoNeRF: Controllable Neural Radiance Fields. - Kacper Kania; Kwang Moo Yi; Marek Kowalski; Tomasz Trzcinski; Andrea Tagliasacchi (CVPR, 2022)

LOLNeRF: Learn from One Look. - Daniel Rebain; Mark J. Matthews; Kwang Moo Yi; Dmitry Lagun; Andrea Tagliasacchi (CVPR, 2022)

Layered Controllable Video Generation. - Jiahui Huang; Yuhe Jin; Kwang Moo Yi; Leonid Sigal (ECCV (16), 2022)

NeuMan: Neural Human Radiance Field from a Single Video. - Wei Jiang 034; Kwang Moo Yi; Golnoosh Samei; Oncel Tuzel; Anurag Ranjan (ECCV (32), 2022)

TUSK: Task-Agnostic Unsupervised Keypoints. - Yuhe Jin; Weiwei Sun; Jan Hosang; Eduard Trulls; Kwang Moo Yi (NeurIPS, 2022)

Novel-View Synthesis of Human Tourist Photos. - Jonathan Freer; Kwang Moo Yi; Wei Jiang 034; Jongwon Choi; Hyung Jin Chang (WACV, 2022)

FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging. - Teaghan O'Briain; Carlos Uribe; Kwang Moo Yi; Jonas Teuwen; Ioannis Sechopoulos; Magdalena Bazalova-Carter (CoRR, 2022)

Estimating Visual Information From Audio Through Manifold Learning. - Fabrizio Pedersoli; Dryden Wiebe; Amin Banitalebi; Yong Zhang 004; Kwang Moo Yi (CoRR, 2022)

Repurposing existing deep networks for caption and aesthetic-guided image cropping. - Nora Horanyi; Kedi Xia; Kwang Moo Yi; Abhishake Kumar Bojja; Ales Leonardis; Hyung Jin Chang (Pattern Recognit., 2022)

Pointersect: Neural Rendering with Cloud-Ray Intersection. - Jen-Hao Rick Chang; Wei-Yu Chen; Anurag Ranjan; Kwang Moo Yi; Oncel Tuzel (CVPR, 2023)

BlendFields: Few-Shot Example-Driven Facial Modeling. - Kacper Kania; Stephan J. Garbin; Andrea Tagliasacchi; Virginia Estellers; Kwang Moo Yi; Julien Valentin; Tomasz Trzcinski; Marek Kowalski (CVPR, 2023)

FaceLit: Neural 3D Relightable Faces. - Anurag Ranjan; Kwang Moo Yi; Jen-Hao Rick Chang; Oncel Tuzel (CVPR, 2023)

Neural Fourier Filter Bank. - Zhijie Wu; Yuhe Jin; Kwang Moo Yi (CVPR, 2023)

Unsupervised Semantic Correspondence Using Stable Diffusion. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2023)

Efficient Multi-purpose Video Annotation for Fast Labeling. - Mobina Mobaraki; Soodeh Ahani; Kwang Moo Yi; Mahyar Asadi; Klaske van Heusden; Guy Albert Dumont (VCIP, 2023)

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. - Weiwei Sun; Daniel Rebain; Renjie Liao; Vladimir Tankovich; Soroosh Yazdani; Kwang Moo Yi; Andrea Tagliasacchi (WACV, 2023)

CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes. - Eric Hedlin; Jinfan Yang; Nicholas Vining; Kwang Moo Yi; Alla Sheffer (CoRR, 2023)

PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems. - Shunyuan Mao; Ruobing Dong; Lu Lu; Kwang Moo Yi; Sifan Wang; Paris Perdikaris (CoRR, 2023)

INVE: Interactive Neural Video Editing. - Jiahui Huang; Leonid Sigal; Kwang Moo Yi; Oliver Wang; Joon-Young Lee (CoRR, 2023)

Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation. - Shaobo Xia; Jun Yue; Kacper Kania; Leyuan Fang; Andrea Tagliasacchi; Kwang Moo Yi; Weiwei Sun (CoRR, 2023)

Attention Beats Concatenation for Conditioning Neural Fields. - Daniel Rebain; Mark J. Matthews; Kwang Moo Yi; Gopal Sharma; Dmitry Lagun; Andrea Tagliasacchi (Trans. Mach. Learn. Res., 2023)

Unsupervised Keypoints from Pretrained Diffusion Models. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Xingzhe He; Hossam Isack; Abhishek Kar; Helge Rhodin; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

Accelerating Neural Field Training via Soft Mining. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models. - Jeong-gi Kwak; Erqun Dong; Yuhe Jin; Hanseok Ko; Shweta Mahajan; Kwang Moo Yi (CVPR, 2024)

Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. - Shweta Mahajan; Tanzila Rahman; Kwang Moo Yi; Leonid Sigal (CVPR, 2024)

Neural Fields as Distributions: Signal Processing Beyond Euclidean Space. - Daniel Rebain; Soroosh Yazdani; Kwang Moo Yi; Andrea Tagliasacchi (CVPR, 2024)

BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction. - Akhmedkhan Ahan Shabanov; Shrisudhan Govindarajan; Cody Reading; Lily Goli; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (CVPR, 2024)

Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. - Hyesong Choi; Hyejin Park 003; Kwang Moo Yi; Sungmin Cha; Dongbo Min (ECCV (78), 2024)

Lagrangian Hashing for Compressed Neural Field Representations. - Shrisudhan Govindarajan; Zeno Sambugaro; Akhmedkhan Shabanov; Towaki Takikawa; Daniel Rebain; Weiwei Sun; Nicola Conci; Kwang Moo Yi; Andrea Tagliasacchi (ECCV (27), 2024)

Volumetric Rendering with Baked Quadrature Fields. - Gopal Sharma; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (ECCV (63), 2024)

PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field. - Weiwei Sun; Eduard Trulls; Yang-Che Tseng; Sneha Sambandam; Gopal Sharma; Andrea Tagliasacchi; Kwang Moo Yi (ECCV (38), 2024)

3D Gaussian Splatting as Markov Chain Monte Carlo. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Weiwei Sun; Yang-Che Tseng; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2024)

3D Gaussian Splatting as Markov Chain Monte Carlo. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Weiwei Sun; Jeff Tseng; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (CoRR, 2024)

Does Gaussian Splatting need SFM Initialization? - Yalda Foroutan; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2024)

Lagrangian Hashing for Compressed Neural Field Representations. - Shrisudhan Govindarajan; Zeno Sambugaro; Akhmedkhan Ahan Shabanov; Towaki Takikawa; Daniel Rebain; Weiwei Sun; Nicola Conci; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2024)

NESI: Shape Representation via Neural Explicit Surface Intersection. - Congyi Zhang; Jinfan Yang; Eric Hedlin; Suzuran Takikawa; Nicholas Vining; Kwang Moo Yi; Wenping Wang 001; Alla Sheffer (CoRR, 2024)

Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems. - Shunyuan Mao; Ruobing Dong; Kwang Moo Yi; Lu Lu; Sifan Wang; Paris Perdikaris (CoRR, 2024)

Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models. - Hyesong Choi; Daeun Kim; Sungmin Cha; Kwang Moo Yi; Dongbo Min (CoRR, 2024)

NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization. - Zhen (Colin) Li; Weiwei Sun; Shrisudhan Govindarajan; Shaobo Xia; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (3DV, 2025)

LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo. - Wei Zhi Tang; Daniel Rebain; Konstantinos G. Derpanis; Kwang Moo Yi (3DV, 2025)

HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories. - Eric Hedlin; Munawar Hayat; Fatih Porikli; Kwang Moo Yi; Shweta Mahajan (CVPR, 2025)

Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification. - A. Yeong Han; Kwang Moo Yi; Kyeong Tae Kim; Jae Young Choi (IEEE Access, 2025)

Radiant Foam: Real-Time Differentiable Ray Tracing. - Shrisudhan Govindarajan; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2025)

ROODI: Reconstructing Occluded Objects with Denoising Inpainters. - Yeonjin Chang; Erqun Dong; Seunghyeon Seo; Nojun Kwak; Kwang Moo Yi (CoRR, 2025)

StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting. - Shakiba Kheradmand; Delio Vicini; George Kopanas; Dmitry Lagun; Kwang Moo Yi; Mark J. Matthews; Andrea Tagliasacchi (CoRR, 2025)