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2020 – today

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2024
[j5]
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Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43(2): i-iii (2024)
[c58]
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  - conf/3dim/MirPKP24
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Aymen Mir, Xavier Puig, Angjoo Kanazawa, Gerard Pons-Moll:
Generating Continual Human Motion in Diverse 3D Scenes. 3DV 2024: 903-913
[c57]
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  - conf/cvpr/KhandelwalAKGDB22
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Yash Khandelwal, Mayur Arvind, Sriram Kumar, Ashish Gupta, Sachin Kumar Danisetty, Piyush Bagad, Anish Madan, Mayank Lunayach, Aditya Annavajjala, Abhishek Maiti, Sansiddh Jain, Aman Dalmia, Namrata Deka, Jerome White, Jigar Doshi, Angjoo Kanazawa, Rahul Panicker, Alpan Raval, Srinivas Rana, Makarand Tapaswi:
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry. CVPR Workshops 2024: 332-342
[c56]
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Evonne Ng, Javier Romero, Timur M. Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard:
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations. CVPR 2024: 1001-1010
[c55]
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  - conf/cvpr/MullerYPBK24
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Lea Müller, Vickie Ye, Georgios Pavlakos, Michael J. Black, Angjoo Kanazawa:
Generative Proxemics: A Prior for 3D Social Interaction from Images. CVPR 2024: 9687-9697
[c54]
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  - conf/cvpr/PavlakosSRKFM24
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Georgios Pavlakos, Dandan Shan, Ilija Radosavovic, Angjoo Kanazawa, David Fouhey, Jitendra Malik:
Reconstructing Hands in 3D with Transformers. CVPR 2024: 9826-9836
[c53]
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  - conf/cvpr/WeberHJSSKK24
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Ethan Weber, Aleksander Holynski, Varun Jampani, Saurabh Saxena, Noah Snavely, Abhishek Kar, Angjoo Kanazawa:
NeRFiller: Completing Scenes via Generative 3D Inpainting. CVPR 2024: 20731-20741
[c52]
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  - conf/cvpr/HanGK0G24
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Xinyang Han, Zelin Gao, Angjoo Kanazawa, Shubham Goel, Yossi Gandelsman:
The More You See in 2D, the More You Perceive in 3D. CVPR 2024: 20912-20922
[c51]
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  - conf/cvpr/KimWKGTK24
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Chung Min Kim, Mingxuan Wu, Justin Kerr, Ken Goldberg, Matthew Tancik, Angjoo Kanazawa:
GARField: Group Anything with Radiance Fields. CVPR 2024: 21530-21539
[i70]
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  - journals/corr/abs-2401-01885
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Evonne Ng, Javier Romero, Timur M. Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard:
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations. CoRR abs/2401.01885 (2024)
[i69]
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  - journals/corr/abs-2401-09419
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Chung Min Kim, Mingxuan Wu, Justin Kerr, Ken Goldberg, Matthew Tancik, Angjoo Kanazawa:
GARField: Group Anything with Radiance Fields. CoRR abs/2401.09419 (2024)
[i68]
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  - journals/corr/abs-2404-03652
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Xinyang Han, Zelin Gao, Angjoo Kanazawa, Shubham Goel, Yossi Gandelsman:
The More You See in 2D, the More You Perceive in 3D. CoRR abs/2404.03652 (2024)
[i67]
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  - journals/corr/abs-2404-05072
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Chiara Plizzari, Shubham Goel, Toby Perrett, Jacob Chalk, Angjoo Kanazawa, Dima Damen:
Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind. CoRR abs/2404.05072 (2024)
[i66]
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  - journals/corr/abs-2404-16221
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Ruilong Li, Sanja Fidler, Angjoo Kanazawa, Francis Williams:
NeRF-XL: Scaling NeRFs with Multiple GPUs. CoRR abs/2404.16221 (2024)
[i65]
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  - journals/corr/abs-2405-05530
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Yash Khandelwal, Mayur Arvind, Sriram Kumar, Ashish Gupta, Sachin Kumar Danisetty, Piyush Bagad, Anish Madan, Mayank Lunayach, Aditya Annavajjala, Abhishek Maiti, Sansiddh Jain, Aman Dalmia, Namrata Deka, Jerome White, Jigar Doshi, Angjoo Kanazawa, Rahul Panicker, Alpan Raval, Srinivas Rana, Makarand Tapaswi:
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry. CoRR abs/2405.05530 (2024)
[i64]
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  - journals/corr/abs-2405-10320
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Ethan Weber, Riley Peterlinz, Rohan Mathur, Frederik Warburg, Alexei A. Efros, Angjoo Kanazawa:
Toon3D: Seeing Cartoons from a New Perspective. CoRR abs/2405.10320 (2024)
[i63]
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  - journals/corr/abs-2406-09417
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David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Rethinking Score Distillation as a Bridge Between Image Distributions. CoRR abs/2406.09417 (2024)
[i62]
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  - journals/corr/abs-2407-12306
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Congrong Xu, Justin Kerr, Angjoo Kanazawa:
Splatfacto-W: A Nerfstudio Implementation of Gaussian Splatting for Unconstrained Photo Collections. CoRR abs/2407.12306 (2024)
[i61]
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  - journals/corr/abs-2407-13764
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Qianqian Wang, Vickie Ye, Hang Gao, Jake Austin, Zhengqi Li, Angjoo Kanazawa:
Shape of Motion: 4D Reconstruction from a Single Video. CoRR abs/2407.13764 (2024)
[i60]
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  - journals/corr/abs-2409-04440
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Vongani H. Maluleke, Lea Müller, Jathushan Rajasegaran, Georgios Pavlakos, Shiry Ginosar, Angjoo Kanazawa, Jitendra Malik:
Synergy and Synchrony in Couple Dances. CoRR abs/2409.04440 (2024)
[i59]
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  - journals/corr/abs-2409-06765
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Vickie Ye, Ruilong Li, Justin Kerr, Matias Turkulainen, Brent Yi, Zhuoyang Pan, Otto Seiskari, Jianbo Ye, Jeffrey Hu, Matthew Tancik, Angjoo Kanazawa:
gsplat: An Open-Source Library for Gaussian Splatting. CoRR abs/2409.06765 (2024)
[i58]
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  - journals/corr/abs-2409-18121
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Justin Kerr, Chung Min Kim, Mingxuan Wu, Brent Yi, Qianqian Wang, Ken Goldberg, Angjoo Kanazawa:
Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction. CoRR abs/2409.18121 (2024)
[i57]
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  - journals/corr/abs-2410-03665
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Brent Yi, Vickie Ye, Maya Zheng, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa:
Estimating Body and Hand Motion in an Ego-sensed World. CoRR abs/2410.03665 (2024)
2023
[c50]
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  - conf/corl/RashidSKKCKG23
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Adam Rashid, Satvik Sharma, Chung Min Kim, Justin Kerr, Lawrence Yunliang Chen, Angjoo Kanazawa, Ken Goldberg:
Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping. CoRL 2023: 178-200
[c49]
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  - conf/cvpr/RajasegaranPKFM23
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Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CVPR 2023: 640-649
[c48]
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  - conf/cvpr/Fridovich-KeilM23
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Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa:
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CVPR 2023: 12479-12488
[c47]
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  - conf/cvpr/YePMK23
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Vickie Ye, Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Decoupling Human and Camera Motion from Videos in the Wild. CVPR 2023: 21222-21232
[c46]
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  - conf/iccv/NgSKKDG23
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Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? ICCV 2023: 10049-10059
[c45]
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  - conf/iccv/0001PRKM23
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Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik:
Humans in 4D: Reconstructing and Tracking Humans with Transformers. ICCV 2023: 14737-14748
[c44]
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  - conf/iccv/WarburgWTHK23
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Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa:
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. ICCV 2023: 18074-18084
[c43]
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  - conf/iccv/LiGTK23
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Ruilong Li, Hang Gao, Matthew Tancik, Angjoo Kanazawa:
NerfAcc: Efficient Sampling Accelerates NeRFs. ICCV 2023: 18491-18500
[c42]
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  - conf/iccv/KerrKGKT23
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Justin Kerr, Chung Min Kim, Ken Goldberg, Angjoo Kanazawa, Matthew Tancik:
LERF: Language Embedded Radiance Fields. ICCV 2023: 19672-19682
[c41]
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  - conf/iccv/HaqueTEHK23
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Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. ICCV 2023: 19683-19693
[c40]
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  - conf/nips/MonnierAKEA23
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Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. NeurIPS 2023
[c39]
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  - conf/siggraph/TancikWNLYWKASA23
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Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, David McAllister, Justin Kerr, Angjoo Kanazawa:
Nerfstudio: A Modular Framework for Neural Radiance Field Development. SIGGRAPH (Conference Paper Track) 2023: 72:1-72:12
[i56]
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  - journals/corr/abs-2301-10241
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Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa:
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR abs/2301.10241 (2023)
[i55]
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  - journals/corr/abs-2302-04264
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Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Justin Kerr, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, David McAllister, Angjoo Kanazawa:
Nerfstudio: A Modular Framework for Neural Radiance Field Development. CoRR abs/2302.04264 (2023)
[i54]
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  - journals/corr/abs-2302-12827
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Vickie Ye, Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Decoupling Human and Camera Motion from Videos in the Wild. CoRR abs/2302.12827 (2023)
[i53]
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  - journals/corr/abs-2303-09553
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Justin Kerr, Chung Min Kim, Ken Goldberg, Angjoo Kanazawa, Matthew Tancik:
LERF: Language Embedded Radiance Fields. CoRR abs/2303.09553 (2023)
[i52]
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  - journals/corr/abs-2303-12789
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Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. CoRR abs/2303.12789 (2023)
[i51]
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  - journals/corr/abs-2304-01199
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Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CoRR abs/2304.01199 (2023)
[i50]
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  - journals/corr/abs-2304-02061
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Aymen Mir, Xavier Puig, Angjoo Kanazawa, Gerard Pons-Moll:
Generating Continual Human Motion in Diverse 3D Scenes. CoRR abs/2304.02061 (2023)
[i49]
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  - journals/corr/abs-2304-10532
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Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa:
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. CoRR abs/2304.10532 (2023)
[i48]
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  - journals/corr/abs-2305-04966
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Ruilong Li, Hang Gao, Matthew Tancik, Angjoo Kanazawa:
NerfAcc: Efficient Sampling Accelerates NeRFs. CoRR abs/2305.04966 (2023)
[i47]
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  - journals/corr/abs-2305-20091
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Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik:
Humans in 4D: Reconstructing and Tracking Humans with Transformers. CoRR abs/2305.20091 (2023)
[i46]
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  - journals/corr/abs-2306-09337
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Lea Müller, Vickie Ye, Georgios Pavlakos, Michael J. Black, Angjoo Kanazawa:
Generative Proxemics: A Prior for 3D Social Interaction from Images. CoRR abs/2306.09337 (2023)
[i45]
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  - journals/corr/abs-2307-05473
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Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. CoRR abs/2307.05473 (2023)
[i44]
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  - journals/corr/abs-2308-10897
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Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? CoRR abs/2308.10897 (2023)
[i43]
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Adam Rashid, Satvik Sharma, Chung Min Kim, Justin Kerr, Lawrence Chen, Angjoo Kanazawa, Ken Goldberg:
Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping. CoRR abs/2309.07970 (2023)
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Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. CoRR abs/2310.07204 (2023)
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  - journals/corr/abs-2312-02121
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Vickie Ye, Angjoo Kanazawa:
Mathematical Supplement for the gsplat Library. CoRR abs/2312.02121 (2023)
[i40]
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Ethan Weber, Aleksander Holynski, Varun Jampani, Saurabh Saxena, Noah Snavely, Abhishek Kar, Angjoo Kanazawa:
NeRFiller: Completing Scenes via Generative 3D Inpainting. CoRR abs/2312.04560 (2023)
[i39]
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Georgios Pavlakos, Dandan Shan, Ilija Radosavovic, Angjoo Kanazawa, David Fouhey, Jitendra Malik:
Reconstructing Hands in 3D with Transformers. CoRR abs/2312.05251 (2023)
2022
[j4]
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Soumyadip Sengupta, Daniel Lichy, Angjoo Kanazawa, Carlos Domingo Castillo, David W. Jacobs:
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3272-3284 (2022)
[c38]
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Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung:
Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery. 3DV 2022: 261-270
[c37]
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Justin Kerr, Letian Fu, Huang Huang, Yahav Avigal, Matthew Tancik, Jeffrey Ichnowski, Angjoo Kanazawa, Ken Goldberg:
Evo-NeRF: Evolving NeRF for Sequential Robot Grasping of Transparent Objects. CoRL 2022: 353-367
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Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Human Mesh Recovery from Multiple Shots. CVPR 2022: 1475-1485
[c35]
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  - conf/cvpr/YeL0KS22
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Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely:
Deformable Sprites for Unsupervised Video Decomposition. CVPR 2022: 2647-2656
[c34]
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Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People by Predicting 3D Appearance, Location and Pose. CVPR 2022: 2730-2739
[c33]
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Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa:
Plenoxels: Radiance Fields without Neural Networks. CVPR 2022: 5491-5500
[c32]
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Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar:
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. CVPR 2022: 20363-20373
[c31]
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  - conf/eccv/MalulekeTBWDEKG22
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Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs Through the Lens of Race. ECCV (13) 2022: 344-360
[c30]
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Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner:
TAVA: Template-free Animatable Volumetric Actors. ECCV (32) 2022: 419-436
[c29]
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Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa:
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images. ECCV (1) 2022: 515-534
[c28]
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Georgios Pavlakos, Ethan Weber, Matthew Tancik, Angjoo Kanazawa:
The One Where They Reconstructed 3D Humans and Environments in TV Shows. ECCV (37) 2022: 732-749
[c27]
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Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell:
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image. ICLR 2022
[c26]
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Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa:
Monocular Dynamic View Synthesis: A Reality Check. NeurIPS 2022
[i38]
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  - journals/corr/abs-2204-07151
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Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely:
Deformable Sprites for Unsupervised Video Decomposition. CoRR abs/2204.07151 (2022)
[i37]
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  - journals/corr/abs-2204-08451
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Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar:
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. CoRR abs/2204.08451 (2022)
[i36]
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  - journals/corr/abs-2206-08929
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Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner:
TAVA: Template-free Animatable Volumetric Actors. CoRR abs/2206.08929 (2022)
[i35]
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  - journals/corr/abs-2206-10457
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Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung:
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery. CoRR abs/2206.10457 (2022)
[i34]
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  - journals/corr/abs-2207-11148
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Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa:
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images. CoRR abs/2207.11148 (2022)
[i33]
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  - journals/corr/abs-2207-14279
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Georgios Pavlakos, Ethan Weber, Matthew Tancik, Angjoo Kanazawa:
The One Where They Reconstructed 3D Humans and Environments in TV Shows. CoRR abs/2207.14279 (2022)
[i32]
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  - journals/corr/abs-2209-02836
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Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs through the Lens of Race. CoRR abs/2209.02836 (2022)
[i31]
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  - journals/corr/abs-2210-04847
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Ruilong Li, Matthew Tancik, Angjoo Kanazawa:
NerfAcc: A General NeRF Acceleration Toolbox. CoRR abs/2210.04847 (2022)
[i30]
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  - journals/corr/abs-2210-13445
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Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa:
Monocular Dynamic View Synthesis: A Reality Check. CoRR abs/2210.13445 (2022)
2021
[j3]
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  - journals/tog/PengMALK21
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Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa:
AMP: adversarial motion priors for stylized physics-based character control. ACM Trans. Graph. 40(4): 144:1-144:20 (2021)
[c25]
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Alex Yu, Vickie Ye, Matthew Tancik, Angjoo Kanazawa:
pixelNeRF: Neural Radiance Fields From One or Few Images. CVPR 2021: 4578-4587
[c24]
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  - conf/cvpr/WuM0S0K21
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Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-Rendering the World's Revolutionary Artefacts. CVPR 2021: 6338-6347
[c23]
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  - conf/cvpr/Jakab0M0SK21
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Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR 2021: 12783-12792
[c22]
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Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, Angjoo Kanazawa:
PlenOctrees for Real-time Rendering of Neural Radiance Fields. ICCV 2021: 5732-5741
[c21]
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  - conf/iccv/CaoRKM21
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Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa, Jitendra Malik:
Reconstructing Hand-Object Interactions in the Wild. ICCV 2021: 12397-12406
[c20]
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Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa:
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++. ICCV 2021: 13381-13392
[c19]
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  - conf/iccv/LiuM0SJK21
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Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa:
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. ICCV 2021: 14438-14447
[c18]
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Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People with 3D Representations. NeurIPS 2021: 23703-23713
[i29]
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  - journals/corr/abs-2101-08779
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Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa:
Learn to Dance with AIST++: Music Conditioned 3D Dance Generation. CoRR abs/2101.08779 (2021)
[i28]
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  - journals/corr/abs-2103-14024
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Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, Angjoo Kanazawa:
PlenOctrees for Real-time Rendering of Neural Radiance Fields. CoRR abs/2103.14024 (2021)
[i27]
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  - journals/corr/abs-2104-02180
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Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa:
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control. CoRR abs/2104.02180 (2021)
[i26]
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  - journals/corr/abs-2104-03954
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Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-rendering the World's Revolutionary Artefacts. CoRR abs/2104.03954 (2021)
[i25]
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  - journals/corr/abs-2104-11224
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Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR abs/2104.11224 (2021)
[i24]
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  - journals/corr/abs-2111-07868
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Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People with 3D Representations. CoRR abs/2111.07868 (2021)
[i23]
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  - journals/corr/abs-2112-04477
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Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People by Predicting 3D Appearance, Location & Pose. CoRR abs/2112.04477 (2021)
[i22]
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  - journals/corr/abs-2112-05131
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Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa:
Plenoxels: Radiance Fields without Neural Networks. CoRR abs/2112.05131 (2021)
2020
[c17]
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  - conf/eccv/ZhangPJRMK20
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Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa:
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild. ECCV (12) 2020: 34-51
[c16]
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  - conf/eccv/GoelKM20
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Shubham Goel, Angjoo Kanazawa, Jitendra Malik:
Shape and Viewpoint Without Keypoints. ECCV (15) 2020: 88-104
[c15]
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  - conf/nips/LevinsonECSKRM20
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Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia:
An Analysis of SVD for Deep Rotation Estimation. NeurIPS 2020
[i21]
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  - journals/corr/abs-2006-14616
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Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia:
An Analysis of SVD for Deep Rotation Estimation. CoRR abs/2006.14616 (2020)
[i20]
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  - journals/corr/abs-2007-10982
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Shubham Goel, Angjoo Kanazawa, Jitendra Malik:
Shape and Viewpoint without Keypoints. CoRR abs/2007.10982 (2020)
[i19]
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Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa:
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild. CoRR abs/2007.15649 (2020)
[i18]
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  - journals/corr/abs-2012-02190
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Alex Yu, Vickie Ye, Matthew Tancik, Angjoo Kanazawa:
pixelNeRF: Neural Radiance Fields from One or Few Images. CoRR abs/2012.02190 (2020)
[i17]
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  - journals/corr/abs-2012-09843
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Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Human Mesh Recovery from Multiple Shots. CoRR abs/2012.09843 (2020)
[i16]
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  - journals/corr/abs-2012-09855
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Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa:
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. CoRR abs/2012.09855 (2020)
[i15]
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Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa, Jitendra Malik:
Reconstructing Hand-Object Interactions in the Wild. CoRR abs/2012.09856 (2020)

2010 – 2019

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2019
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Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik:
Learning 3D Human Dynamics From Video. CVPR 2019: 5614-5623
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Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Hao Li, Angjoo Kanazawa:
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. ICCV 2019: 2304-2314
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Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black:
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild". ICCV 2019: 5358-5367
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Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik:
Predicting 3D Human Dynamics From Video. ICCV 2019: 7113-7122
[c10]
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Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine:
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. ICLR (Poster) 2019
[i14]
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  - journals/corr/abs-1905-05172
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Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, Hao Li:
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. CoRR abs/1905.05172 (2019)
[i13]
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  - journals/corr/abs-1908-04781
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Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik:
Predicting 3D Human Dynamics from Video. CoRR abs/1908.04781 (2019)
[i12]
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  - journals/corr/abs-1908-07201
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Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black:
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild". CoRR abs/1908.07201 (2019)
2018
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Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine:
SFV: reinforcement learning of physical skills from videos. ACM Trans. Graph. 37(6): 178 (2018)
[c9]
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Silvia Zuffi, Angjoo Kanazawa, Michael J. Black:
Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images. CVPR 2018: 3955-3963
[c8]
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Soumyadip Sengupta, Angjoo Kanazawa, Carlos Domingo Castillo, David W. Jacobs:
SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'. CVPR 2018: 6296-6305
[c7]
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Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-End Recovery of Human Shape and Pose. CVPR 2018: 7122-7131
[c6]
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  - conf/eccv/KanazawaTEM18
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Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Learning Category-Specific Mesh Reconstruction from Image Collections. ECCV (15) 2018: 386-402
[c5]
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  - conf/eccv/AkataBHKKV18
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Zeynep Akata, Dena Bazazian, Yana Hasson, Angjoo Kanazawa, Hildegard Kuehne, Gül Varol:
WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop. ECCV Workshops (4) 2018: 649-653
[i11]
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  - journals/corr/abs-1803-07549
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Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Learning Category-Specific Mesh Reconstruction from Image Collections. CoRR abs/1803.07549 (2018)
[i10]
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  - journals/corr/abs-1810-00821
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Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine:
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. CoRR abs/1810.00821 (2018)
[i9]
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  - journals/corr/abs-1810-03599
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Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine:
SFV: Reinforcement Learning of Physical Skills from Videos. CoRR abs/1810.03599 (2018)
[i8]
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Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik:
Learning 3D Human Dynamics from Video. CoRR abs/1812.01601 (2018)
2017
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Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black:
3D Menagerie: Modeling the 3D Shape and Pose of Animals. CVPR 2017: 5524-5532
[i7]
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Soumyadip Sengupta, Angjoo Kanazawa, Carlos Domingo Castillo, David W. Jacobs:
SfSNet : Learning Shape, Reflectance and Illuminance of Faces in the Wild. CoRR abs/1712.01261 (2017)
[i6]
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  - journals/corr/abs-1712-06584
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Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-end Recovery of Human Shape and Pose. CoRR abs/1712.06584 (2017)
2016
[j1]
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Angjoo Kanazawa, Shahar Z. Kovalsky, Ronen Basri, David W. Jacobs:
Learning 3D Deformation of Animals from 2D Images. Comput. Graph. Forum 35(2): 365-374 (2016)
[c3]
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Angjoo Kanazawa, David W. Jacobs, Manmohan Chandraker:
WarpNet: Weakly Supervised Matching for Single-View Reconstruction. CVPR 2016: 3253-3261
[c2]
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Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black:
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. ECCV (5) 2016: 561-578
[i5]
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Angjoo Kanazawa, David W. Jacobs, Manmohan Chandraker:
WarpNet: Weakly Supervised Matching for Single-view Reconstruction. CoRR abs/1604.05592 (2016)
[i4]
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Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black:
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. CoRR abs/1607.08128 (2016)
[i3]
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Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black:
3D Menagerie: Modeling the 3D shape and pose of animals. CoRR abs/1611.07700 (2016)
2015
[i2]
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Angjoo Kanazawa, Shahar Z. Kovalsky, Ronen Basri, David W. Jacobs:
Learning 3D Articulation and Deformation using 2D Images. CoRR abs/1507.07646 (2015)
2014
[i1]
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  - journals/corr/KanazawaSJ14
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Angjoo Kanazawa, Abhishek Sharma, David W. Jacobs:
Locally Scale-Invariant Convolutional Neural Networks. CoRR abs/1412.5104 (2014)
2012
[c1]
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  - conf/eccv/LiuKJB12
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Jiongxin Liu, Angjoo Kanazawa, David W. Jacobs, Peter N. Belhumeur:
Dog Breed Classification Using Part Localization. ECCV (1) 2012: 172-185

Coauthor Index

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