default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKwang Moo Yi
이광무
Person information
- unicode name: 이광무
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2023
[j10]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi:
Attention Beats Concatenation for Conditioning Neural Fields. Trans. Mach. Learn. Res. 2023 (2023)- 2022
- [j9]Nora Horanyi
, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang:
Repurposing existing deep networks for caption and aesthetic-guided image cropping. Pattern Recognit. 126: 108485 (2022) - 2021
- [j8]Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching Across Wide Baselines: From Paper to Practice. Int. J. Comput. Vis. 129(2): 517-547 (2021) - [j7]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3167-3182 (2021) - 2018
- [j6]Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
Robust 3D Object Tracking from Monocular Images Using Stable Parts. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1465-1479 (2018) - 2015
- [j5]Kwang Moo Yi, Hawook Jeong, Soo Wan Kim, Shimin Yin, Songhwai Oh, Jin Young Choi:
Visual tracking of non-rigid objects with partial occlusion through elastic structure of local patches and hierarchical diffusion. Image Vis. Comput. 39: 23-37 (2015) - [j4]Kwang Moo Yi, Hawook Jeong, Byeongju Lee, Jin Young Choi:
Visual tracking in complex scenes through pixel-wise tri-modeling. Mach. Vis. Appl. 26(2-3): 205-217 (2015) - [j3]Kwang Moo Yi, Hawook Jeong, Byeongju Lee, Jin Young Choi:
Erratum to: Visual tracking in complex scenes through pixel-wise tri-modeling. Mach. Vis. Appl. 26(7-8): 1095 (2015) - 2014
- [j2]Hawook Jeong, Young Joon Yoo, Kwang Moo Yi, Jin Young Choi:
Two-stage online inference model for traffic pattern analysis and anomaly detection. Mach. Vis. Appl. 25(6): 1501-1517 (2014) - 2013
- [j1]Soo Wan Kim, Kimin Yun, Kwang Moo Yi, Sun Jung Kim, Jin Young Choi:
Detection of moving objects with a moving camera using non-panoramic background model. Mach. Vis. Appl. 24(5): 1015-1028 (2013)
Conference and Workshop Papers
- 2024
- [c58]Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space. CVPR 2024: 4274-4283 - [c57]Jeong-gi Kwak, Erqun Dong, Yuhe Jin, Hanseok Ko, Shweta Mahajan, Kwang Moo Yi:
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models. CVPR 2024: 6775-6785 - [c56]Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal:
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. CVPR 2024: 6808-6817 - [c55]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. CVPR 2024: 20071-20080 - [c54]Akhmedkhan Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction. CVPR 2024: 20571-20580 - [c53]Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Keypoints from Pretrained Diffusion Models. CVPR 2024: 22820-22830 - [c52]Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi:
PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field. ECCV (38) 2024: 221-238 - [c51]Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min:
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. ECCV (78) 2024: 343-359 - 2023
- [c50]Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski:
BlendFields: Few-Shot Example-Driven Facial Modeling. CVPR 2023: 404-415 - [c49]Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel:
Pointersect: Neural Rendering with Cloud-Ray Intersection. CVPR 2023: 8359-8369 - [c48]Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel:
FaceLit: Neural 3D Relightable Faces. CVPR 2023: 8619-8628 - [c47]Zhijie Wu, Yuhe Jin, Kwang Moo Yi:
Neural Fourier Filter Bank. CVPR 2023: 14153-14163 - [c46]Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Semantic Correspondence Using Stable Diffusion. NeurIPS 2023 - [c45]Mobina Mobaraki, Soodeh Ahani, Kwang Moo Yi, Mahyar Asadi, Klaske van Heusden, Guy Albert Dumont:
Efficient Multi-purpose Video Annotation for Fast Labeling. VCIP 2023: 1-5 - [c44]Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. WACV 2023: 551-560 - 2022
- [c43]Aritro Roy Arko, Jim Little, Kwang Moo Yi:
Bootstrapping Human Optical Flow and Pose. BMVC 2022: 139 - [c42]Eric Hedlin, Helge Rhodin, Kwang Moo Yi:
A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset. CRV 2022: 1-7 - [c41]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi:
LOLNeRF: Learn from One Look. CVPR 2022: 1548-1557 - [c40]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, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751 - [c39]Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi:
CoNeRF: Controllable Neural Radiance Fields. CVPR 2022: 18602-18611 - [c38]Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan:
NeuMan: Neural Human Radiance Field from a Single Video. ECCV (32) 2022: 402-418 - [c37]Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal:
Layered Controllable Video Generation. ECCV (16) 2022: 546-564 - [c36]Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi:
TUSK: Task-Agnostic Unsupervised Keypoints. NeurIPS 2022 - [c35]Jonathan Freer, Kwang Moo Yi, Wei Jiang, Jongwon Choi, Hyung Jin Chang:
Novel-View Synthesis of Human Tourist Photos. WACV 2022: 857-864 - 2021
- [c34]Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi:
MIST: Multiple Instance Spatial Transformer. CVPR 2021: 2412-2422 - [c33]Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang:
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning. CVPR 2021: 6749-6758 - [c32]Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi:
DeRF: Decomposed Radiance Fields. CVPR 2021: 14153-14161 - [c31]Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi:
COTR: Correspondence Transformer for Matching Across Images. ICCV 2021: 6187-6197 - [c30]Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi:
Canonical Capsules: Self-Supervised Capsules in Canonical Pose. NeurIPS 2021: 24993-25005 - 2020
- [c29]Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet : General Functional Approximators with Local Support. CVPR Workshops 2020: 1069-1073 - [c28]Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi:
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. CVPR 2020: 11283-11292 - [c27]Fabrizio Pedersoli, George Tzanetakis, Kwang Moo Yi:
Improving Music Transcription by Pre-Stacking A U-Net. ICASSP 2020: 506-510 - [c26]Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi:
Optimizing Through Learned Errors for Accurate Sports Field Registration. WACV 2020: 201-210 - 2019
- [c25]Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, Andrea Tagliasacchi:
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images. CRV 2019: 151-158 - [c24]Patrick Ebel, Eduard Trulls, Kwang Moo Yi, Pascal Fua, Anastasiia Mishchuk:
Beyond Cartesian Representations for Local Descriptors. ICCV 2019: 253-262 - [c23]Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi:
Linearized Multi-Sampling for Differentiable Image Transformation. ICCV 2019: 2988-2997 - 2018
- [c22]Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. CVPR 2018: 2666-2674 - [c21]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. ECCV (5) 2018: 792-807 - [c20]Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi:
LF-Net: Learning Local Features from Images. NeurIPS 2018: 6237-6247 - 2017
- [c19]David Mandl, Kwang Moo Yi, Peter Mohr, Peter M. Roth, Pascal Fua, Vincent Lepetit, Dieter Schmalstieg, Denis Kalkofen:
Learning Lightprobes for Mixed Reality Illumination. ISMAR 2017: 82-89 - 2016
- [c18]Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit:
Learning to Assign Orientations to Feature Points. CVPR 2016: 107-116 - [c17]Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua:
LIFT: Learned Invariant Feature Transform. ECCV (6) 2016: 467-483 - 2015
- [c16]Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
TILDE: A Temporally Invariant Learned DEtector. CVPR 2015: 5279-5288 - [c15]Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images. ICCV 2015: 4391-4399 - [c14]Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, Jin Young Choi:
Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception. WACV 2015: 829-836 - 2014
- [c13]Byeong Ju Lee, Kwang Moo Yi:
Scale preserving PTZ tracking with size estimation using tilt sensory data. AVSS 2014: 289-294 - [c12]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, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c11]Kimin Yun, Hawook Jeong, Kwang Moo Yi, Soo Wan Kim, Jin Young Choi:
Motion Interaction Field for Accident Detection in Traffic Surveillance Video. ICPR 2014: 3062-3067 - [c10]Alberto Crivellaro, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
Tracking texture-less, shiny objects with descriptor fields. ISMAR 2014: 331-332 - 2013
- [c9]Hyung Jin Chang, Jiyun Kim, Jungchan Cho, Songhwai Oh, Kwang Moo Yi, Jin Young Choi:
Action Chart: A Representation for Efficient Recognition of Complex Activity. BMVC 2013 - [c8]Kwang Moo Yi, Kimin Yun, Soo Wan Kim, Hyung Jin Chang, Jin Young Choi:
Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device. CVPR Workshops 2013: 27-34 - [c7]Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi:
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. ICCV 2013: 2912-2919 - 2012
- [c6]Sangdoo Yun, Soo Wan Kim, Kwang Moo Yi, Haan-Ju Yoo, Jin Young Choi:
Multiple ground plane estimation for 3D scene understanding using a monocular camera. IVCNZ 2012: 1-6 - [c5]Kwang Moo Yi, Hawook Jeong, Soo Wan Kim, Jin Young Choi:
Visual tracking with dual modeling. IVCNZ 2012: 25-30 - 2011
- [c4]Hyung Jin Chang, Kwang Moo Yi, Shimin Yin, Soo Wan Kim, Young Min Baek, Ho Seok Ahn, Jin Young Choi:
PIL-EYE: Integrated System for Sustainable Development of Intelligent Visual Surveillance Algorithms. DICTA 2011: 231-236 - 2010
- [c3]Soo Wan Kim, Kwang Moo Yi, Songhwai Oh, Jin Young Choi:
Recovery Video Stabilization Using MRF-MAP Optimization. ICPR 2010: 2804-2807 - 2009
- [c2]Kwang Moo Yi, Soo Wan Kim, Jin Young Choi:
Orientation and Scale Invariant Kernel-Based Object Tracking with Probabilistic Emphasizing. ACCV (2) 2009: 130-139 - 2008
- [c1]Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi:
Orientation and scale invariant mean shift using object mask-based kernel. ICPR 2008: 1-4
Informal and Other Publications
- 2024
- [i58]Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min:
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. CoRR abs/2404.08327 (2024) - [i57]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
3D Gaussian Splatting as Markov Chain Monte Carlo. CoRR abs/2404.09591 (2024) - [i56]Yalda Foroutan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Does Gaussian Splatting need SFM Initialization? CoRR abs/2404.12547 (2024) - [i55]Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
BANF: Band-limited Neural Fields for Levels of Detail Reconstruction. CoRR abs/2404.13024 (2024) - [i54]Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Ahan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi:
Lagrangian Hashing for Compressed Neural Field Representations. CoRR abs/2409.05334 (2024) - [i53]Congyi Zhang, Jinfan Yang, Eric Hedlin, Suzuran Takikawa, Nicholas Vining, Kwang Moo Yi, Wenping Wang, Alla Sheffer:
NESI: Shape Representation via Neural Explicit Surface Intersection. CoRR abs/2409.06030 (2024) - [i52]Wei Zhi Tang, Daniel Rebain, Kostantinos G. Derpanis, Kwang Moo Yi:
LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo. CoRR abs/2409.06104 (2024) - [i51]Shunyuan Mao, Ruobing Dong, Kwang Moo Yi, Lu Lu, Sifan Wang, Paris Perdikaris:
Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems. CoRR abs/2409.17228 (2024) - 2023
- [i50]Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel:
FaceLit: Neural 3D Relightable Faces. CoRR abs/2303.15437 (2023) - [i49]Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel:
Pointersect: Neural Rendering with Cloud-Ray Intersection. CoRR abs/2304.12390 (2023) - [i48]Eric Hedlin, Jinfan Yang, Nicholas Vining, Kwang Moo Yi, Alla Sheffer:
CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes. CoRR abs/2304.13141 (2023) - [i47]Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski:
BlendFields: Few-Shot Example-Driven Facial Modeling. CoRR abs/2305.07514 (2023) - [i46]Shunyuan Mao, Ruobing Dong, Lu Lu, Kwang Moo Yi, Sifan Wang, Paris Perdikaris:
PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems. CoRR abs/2305.11111 (2023) - [i45]Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Semantic Correspondence Using Stable Diffusion. CoRR abs/2305.15581 (2023) - [i44]Jiahui Huang, Leonid Sigal, Kwang Moo Yi, Oliver Wang, Joon-Young Lee:
INVE: Interactive Neural Video Editing. CoRR abs/2307.07663 (2023) - [i43]Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Keypoints from Pretrained Diffusion Models. CoRR abs/2312.00065 (2023) - [i42]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. CoRR abs/2312.00075 (2023) - [i41]Jeong-gi Kwak, Erqun Dong, Yuhe Jin, Hanseok Ko, Shweta Mahajan, Kwang Moo Yi:
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models. CoRR abs/2312.01305 (2023) - [i40]Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Volumetric Rendering with Baked Quadrature Fields. CoRR abs/2312.02202 (2023) - [i39]Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi:
PointNeRF++: A multi-scale, point-based Neural Radiance Field. CoRR abs/2312.02362 (2023) - [i38]Shaobo Xia, Jun Yue, Kacper Kania, Leyuan Fang, Andrea Tagliasacchi, Kwang Moo Yi, Weiwei Sun:
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation. CoRR abs/2312.06799 (2023) - [i37]Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal:
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. CoRR abs/2312.12416 (2023) - 2022
- [i36]Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang:
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping. CoRR abs/2201.02280 (2022) - [i35]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, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - [i34]Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan:
NeuMan: Neural Human Radiance Field from a Single Video. CoRR abs/2203.12575 (2022) - [i33]Eric Hedlin, Helge Rhodin, Kwang Moo Yi:
A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset. CoRR abs/2205.00076 (2022) - [i32]Teaghan O'Briain, Carlos Uribe, Kwang Moo Yi, Jonas Teuwen, Ioannis Sechopoulos, Magdalena Bazalova-Carter:
FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging. CoRR abs/2205.14147 (2022) - [i31]Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi:
TUSK: Task-Agnostic Unsupervised Keypoints. CoRR abs/2206.08460 (2022) - [i30]Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. CoRR abs/2207.09978 (2022) - [i29]Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi:
Estimating Visual Information From Audio Through Manifold Learning. CoRR abs/2208.02337 (2022) - [i28]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi:
Attention Beats Concatenation for Conditioning Neural Fields. CoRR abs/2209.10684 (2022) - [i27]Aritro Roy Arko, James J. Little, Kwang Moo Yi:
Bootstrapping Human Optical Flow and Pose. CoRR abs/2210.15121 (2022) - [i26]Zhijie Wu, Yuhe Jin, Kwang Moo Yi:
Neural Fourier Filter Bank. CoRR abs/2212.01735 (2022) - 2021
- [i25]Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi:
COTR: Correspondence Transformer for Matching Across Images. CoRR abs/2103.14167 (2021) - [i24]Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
Deep Medial Fields. CoRR abs/2106.03804 (2021) - [i23]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi:
LOLNeRF: Learn from One Look. CoRR abs/2111.09996 (2021) - [i22]Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal:
Layered Controllable Video Generation. CoRR abs/2111.12747 (2021) - [i21]Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi:
CoNeRF: Controllable Neural Radiance Fields. CoRR abs/2112.01983 (2021) - 2020
- [i20]Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching across Wide Baselines: From Paper to Practice. CoRR abs/2003.01587 (2020) - [i19]Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang:
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning. CoRR abs/2003.11249 (2020) - [i18]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. CoRR abs/2004.07931 (2020) - [i17]Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi:
DeRF: Decomposed Radiance Fields. CoRR abs/2011.12490 (2020) - [i16]Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi:
Canonical Capsules: Unsupervised Capsules in Canonical Pose. CoRR abs/2012.04718 (2020) - 2019
- [i15]Kyong Hwan Jin, Michael Unser, Kwang Moo Yi:
Self-Supervised Deep Active Accelerated MRI. CoRR abs/1901.04547 (2019) - [i14]Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi:
Linearized Multi-Sampling for Differentiable Image Transformation. CoRR abs/1901.07124 (2019) - [i13]Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi:
Attentive Context Normalization for Robust Permutation-Equivariant Learning. CoRR abs/1907.02545 (2019) - [i12]Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls:
Beyond Cartesian Representations for Local Descriptors. CoRR abs/1908.05547 (2019) - [i11]Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi:
Optimizing Through Learned Errors for Accurate Sports Field Registration. CoRR abs/1909.08034 (2019) - [i10]Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi:
Reducing the Human Effort in Developing PET-CT Registration. CoRR abs/1911.10657 (2019) - [i9]Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet: General Functional Approximators with Local Support. CoRR abs/1912.03629 (2019) - 2018
- [i8]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses. CoRR abs/1803.08071 (2018) - [i7]Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi:
LF-Net: Learning Local Features from Images. CoRR abs/1805.09662 (2018) - [i6]Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi:
MIST: Multiple Instance Spatial Transformer Network. CoRR abs/1811.10725 (2018) - 2017
- [i5]Olivier Balet, Boriana Koleva, Jens Grubert, Kwang Moo Yi, Marco Gunia, Angelos Katsis, Julien Castet:
Authoring and Living Next-Generation Location-Based Experiences. CoRR abs/1709.01293 (2017) - [i4]Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. CoRR abs/1711.05971 (2017) - 2016
- [i3]Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua:
LIFT: Learned Invariant Feature Transform. CoRR abs/1603.09114 (2016) - 2015
- [i2]Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit:
Learning to Assign Orientations to Feature Points. CoRR abs/1511.04273 (2015) - 2014
- [i1]Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
TILDE: A Temporally Invariant Learned DEtector. CoRR abs/1411.4568 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 21:08 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
