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ORCIDLeonidas J. Guibas
Person information
- affiliation: Stanford University, USA
- award (2007): ACM - AAAI Allen Newell Award
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2020 – today
- 2023
[j224]Jiahui Huang
, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu:
Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2038-2053 (2023)- [j223]Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang:
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8902-8919 (2023) - [j222]Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao:
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Trans. Graph. 42(1): 1:1-1:17 (2023) - [c367]Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas:
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CVPR 2023: 35-45 - [c366]Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi:
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CVPR 2023: 259-270 - [c365]Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas:
Generating Part-Aware Editable 3D Shapes without 3D Supervision. CVPR 2023: 4466-4478 - [c364]Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis:
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. CVPR 2023: 4902-4912 - [c363]Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov:
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR 2023: 4913-4926 - [c362]Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov:
Affection: Learning Affective Explanations for Real-World Visual Data. CVPR 2023: 6641-6651 - [c361]Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova:
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CVPR 2023: 8274-8284 - [c360]Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein:
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. CVPR 2023: 8507-8517 - [c359]Panos Achlioptas, Ian Huang, Minhyuk Sung, Sergey Tulyakov, Leonidas J. Guibas:
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations. CVPR 2023: 12685-12694 - [c358]Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas:
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CVPR 2023: 16498-16507 - [c357]Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li:
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CVPR 2023: 16518-16527 - [c356]Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas:
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CVPR 2023: 19037-19047 - [c355]Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov:
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR 2023: 20637-20647 - [c354]Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR 2023: 23201-23211 - [c353]Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas:
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. ICML 2023: 36958-36977 - [c352]Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis:
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. SIGGRAPH (Conference Paper Track) 2023: 83:1-83:12 - [i182]Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li, Dimitrios Gunopulos, Leonidas J. Guibas:
HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments. CoRR abs/2301.05293 (2023) - [i181]Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas:
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CoRR abs/2301.09629 (2023) - [i180]Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang:
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry. CoRR abs/2302.10237 (2023) - [i179]Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova:
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CoRR abs/2303.03361 (2023) - [i178]Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas:
Category-Level Multi-Part Multi-Joint 3D Shape Assembly. CoRR abs/2303.06163 (2023) - [i177]Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas:
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision. CoRR abs/2303.09554 (2023) - [i176]Colton Stearns, Jiateng Liu, Davis Rempe, Despoina Paschalidou, Jeong Joon Park, Sebastien Mascha, Leonidas J. Guibas:
CurveCloudNet: Processing Point Clouds with 1D Structure. CoRR abs/2303.12050 (2023) - [i175]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi:
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. CoRR abs/2303.12074 (2023) - [i174]Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li:
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CoRR abs/2303.13582 (2023) - [i173]Ali Kashefi, Leonidas J. Guibas, Tapan Mukerji:
Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity. CoRR abs/2303.13634 (2023) - [i172]Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis:
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. CoRR abs/2303.15440 (2023) - [i171]Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas:
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CoRR abs/2303.17968 (2023) - [i170]Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas:
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CoRR abs/2304.00341 (2023) - [i169]Ivica Kicic, Pantelis-Rafail Vlachas, Georgios Arampatzis, Michail Chatzimanolakis, Leonidas J. Guibas, Petros Koumoutsakos:
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems. CoRR abs/2304.01732 (2023) - [i168]Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov:
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR abs/2304.02163 (2023) - [i167]Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole:
Learning a Diffusion Prior for NeRFs. CoRR abs/2304.14473 (2023) - [i166]Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas:
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. CoRR abs/2305.01921 (2023) - [i165]Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis:
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. CoRR abs/2305.03043 (2023) - [i164]Congyue Deng, Jiahui Lei, Bokui Shen, Kostas Daniilidis, Leonidas J. Guibas:
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance. CoRR abs/2305.16314 (2023) - [i163]Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas J. Guibas, Kostas Daniilidis:
NAP: Neural 3D Articulation Prior. CoRR abs/2305.16315 (2023) - [i162]Ian Huang, Vrishab Krishna, Omoruyi Atekha, Leonidas J. Guibas:
Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions. CoRR abs/2306.06212 (2023) - [i161]Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas:
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CoRR abs/2307.07511 (2023) - [i160]Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas:
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. CoRR abs/2307.15055 (2023) - [i159]Nikhil Raghuraman, Adam W. Harley, Leonidas J. Guibas:
Cross-Image Context Matters for Bongard Problems. CoRR abs/2309.03468 (2023) - [i158]Kunho Kim, Mikaela Angelina Uy, Despoina Paschalidou, Alec Jacobson, Leonidas J. Guibas, Minhyuk Sung:
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation. CoRR abs/2309.12899 (2023) - 2022
- [j221]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Learning Spectral Unions of Partial Deformable 3D Shapes. Comput. Graph. Forum 41(2): 407-417 (2022) - [j220]Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal:
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. Int. J. Comput. Vis. 130(7): 1627-1654 (2022) - [j219]Yongheng Zhao, Guangchi Fang, Yulan Guo, Leonidas J. Guibas, Federico Tombari, Tolga Birdal:
3DPointCaps++: Learning 3D Representations with Capsule Networks. Int. J. Comput. Vis. 130(9): 2321-2336 (2022) - [j218]Yuefan Shen, Yanchao Yang, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas:
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis. IEEE Robotics Autom. Lett. 7(2): 4845-4852 (2022) - [c351]Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CVPR 2022: 1403-1413 - [c350]Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang:
Projective Manifold Gradient Layer for Deep Rotation Regression. CVPR 2022: 6636-6645 - [c349]Yuefan Shen, Yanchao Yang, Mi Yan, He Wang, Youyi Zheng, Leonidas J. Guibas:
Domain Adaptation on Point Clouds via Geometry-Aware Implicits. CVPR 2022: 7213-7222 - [c348]Hanxiang Ren, Yanchao Yang, He Wang, Bokui Shen, Qingnan Fan, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas:
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation. CVPR 2022: 8069-8079 - [c347]Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas:
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CVPR 2022: 11840-11850 - [c346]Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser:
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CVPR 2022: 12861-12871 - [c345]Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein:
Efficient Geometry-aware 3D Generative Adversarial Networks. CVPR 2022: 16102-16112 - [c344]Juil Koo, Ian Huang, Panos Achlioptas, Leonidas J. Guibas, Minhyuk Sung:
PartGlot: Learning Shape Part Segmentation from Language Reference Games. CVPR 2022: 16484-16493 - [c343]Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar:
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. CVPR 2022: 16948-16958 - [c342]Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany:
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CVPR 2022: 17284-17294 - [c341]Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong:
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions. ECCV (29) 2022: 90-107 - [c340]Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen:
Towards Accurate Active Camera Localization. ECCV (10) 2022: 122-139 - [c339]Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas:
SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) 2022: 639-656 - [c338]Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas:
GIMO: Gaze-Informed Human Motion Prediction in Context. ECCV (13) 2022: 676-694 - [c337]Ian Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, Leonidas J. Guibas:
LADIS: Language Disentanglement for 3D Shape Editing. EMNLP (Findings) 2022: 5519-5532 - [c336]Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas:
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. ICLR 2022 - [c335]Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas:
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. ICLR 2022 - [c334]Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong:
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. ICLR 2022 - [c333]Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu:
Unsupervised Discovery of Object Radiance Fields. ICLR 2022 - [c332]Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero:
NeuForm: Adaptive Overfitting for Neural Shape Editing. NeurIPS 2022 - [c331]Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf:
Object Scene Representation Transformer. NeurIPS 2022 - [c330]Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu:
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. Robotics: Science and Systems 2022 - [i157]Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar:
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. CoRR abs/2201.07788 (2022) - [i156]Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma:
Directed Weight Neural Networks for Protein Structure Representation Learning. CoRR abs/2201.13299 (2022) - [i155]Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu:
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. CoRR abs/2203.06856 (2022) - [i154]Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas:
GIMO: Gaze-Informed Human Motion Prediction in Context. CoRR abs/2204.09443 (2022) - [i153]Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR abs/2205.02834 (2022) - [i152]Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser:
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CoRR abs/2205.04334 (2022) - [i151]Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf:
Object Scene Representation Transformer. CoRR abs/2206.06922 (2022) - [i150]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. CoRR abs/2206.14797 (2022) - [i149]Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas:
SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR abs/2207.05856 (2022) - [i148]Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas:
6D Camera Relocalization in Visually Ambiguous Extreme Environments. CoRR abs/2207.06333 (2022) - [i147]Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero:
NeuForm: Adaptive Overfitting for Neural Shape Editing. CoRR abs/2207.08890 (2022) - [i146]Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas:
COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos. CoRR abs/2210.01781 (2022) - [i145]Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov:
Affection: Learning Affective Explanations for Real-World Visual Data. CoRR abs/2210.01946 (2022) - [i144]Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas J. Guibas:
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks. CoRR abs/2210.16646 (2022) - [i143]Adrien Poulenard, Maks Ovsjanikov, Leonidas J. Guibas:
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution. CoRR abs/2211.15903 (2022) - [i142]Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein:
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. CoRR abs/2211.17260 (2022) - [i141]Congyue Deng, Chiyu "Max" Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov:
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CoRR abs/2212.03267 (2022) - [i140]Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi:
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CoRR abs/2212.04096 (2022) - [i139]Ian Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, Leonidas J. Guibas:
LADIS: Language Disentanglement for 3D Shape Editing. CoRR abs/2212.05011 (2022) - [i138]Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR abs/2212.09898 (2022) - [i137]Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas:
An Information-Theoretic Approach to Transferability in Task Transfer Learning. CoRR abs/2212.10082 (2022) - 2021
- [j217]George J. Pappas, Kostas Daniilidis, Leonidas J. Guibas, Lydia E. Kavraki, Petros Koumoutsakos, Kostas J. Kyriakopoulos, John Lygeros, Michael S. Triantafyllou, Panagiotis Tsiotras:
Robotics in the AI era: A vision for a Hellenic Robotics Initiative. Found. Trends Robotics 9(3): 201-265 (2021) - [c329]Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas:
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. CoRL 2021: 1666-1677 - [c328]Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. CVPR 2021: 5692-5703 - [c327]Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas:
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. CVPR 2021: 7108-7118 - [c326]Siyan Dong, Qingnan Fan, He Wang, Ji Shi, Li Yi, Thomas A. Funkhouser, Baoquan Chen, Leonidas J. Guibas:
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments. CVPR 2021: 8544-8554 - [c325]Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas:
ArtEmis: Affective Language for Visual Art. CVPR 2021: 11569-11579 - [c324]Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas:
Joint Learning of 3D Shape Retrieval and Deformation. CVPR 2021: 11713-11722 - [c323]Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas:
Quantum Permutation Synchronization. CVPR 2021: 13122-13133 - [c322]Adrien Poulenard, Leonidas J. Guibas:
A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR 2021: 13174-13183 - [c321]He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas:
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. CVPR 2021: 14615-14624 - [c320]Wamiq Para, Paul Guerrero, Tom Kelly, Leonidas J. Guibas, Peter Wonka:
Generative Layout Modeling using Constraint Graphs. ICCV 2021: 6670-6680 - [c319]Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani:
Where2Act: From Pixels to Actions for Articulated 3D Objects. ICCV 2021: 6793-6803 - [c318]Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas:
HuMoR: 3D Human Motion Model for Robust Pose Estimation. ICCV 2021: 11468-11479 - [c317]Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas:
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. ICCV 2021: 12180-12189 - [c316]Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas:
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. ICCV 2021: 13189-13198 - [c315]Wamiq Reyaz Para, Shariq Farooq Bhat, Paul Guerrero, Tom Kelly, Niloy J. Mitra, Leonidas J. Guibas, Peter Wonka:
SketchGen: Generating Constrained CAD Sketches. NeurIPS 2021: 5077-5088 - [c314]Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli:
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. NeurIPS 2021: 6776-6789 - [c313]Xiaolong Li, Yijia Weng, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song, He Wang:
Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds. NeurIPS 2021: 15370-15381 - [c312]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV 2021: 134-144 - [c311]