Varun Jampani
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- Computer Vision – ECCV 2024 (6)
- NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems (5)
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- ICVGIP '12: Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing (1)
- NIPS '20: Proceedings of the 34th International Conference on Neural Information Processing Systems (1)
- WACV '15: Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision (1)
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- Article
CONDENSE: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images
- Xiaoshuai Zhang
https://ror.org/0168r3w48UC San Diego, San Diego, USA
Google Research, Menlo Park, USA
, - Zhicheng Wang
Google Research, Menlo Park, USA
, - Howard Zhou
Google Research, Menlo Park, USA
, - Soham Ghosh
Google Research, Menlo Park, USA
, - Danushen Gnanapragasam
Google Research, Menlo Park, USA
, - Varun Jampani
Stability AI, London, UK
Google Research, Menlo Park, USA
, - Hao Su
https://ror.org/0168r3w48UC San Diego, San Diego, USA
Hillbot, Palo Alto, USA
, - Leonidas Guibas
https://ror.org/00f54p054Stanford University, Stanford, USA
Google Research, Menlo Park, USA
AbstractTo advance the state of the art in the creation of 3D foundation models, this paper introduces the ConDense framework for 3D pre-training utilizing existing pre-trained 2D networks and large-scale multi-view datasets. We propose a novel 2D-3D ...
- 0Citation
MetricsTotal Citations0
- Xiaoshuai Zhang
- Article
WordRobe: Text-Guided Generation of Textured 3D Garments
- Astitva Srivastava
https://ror.org/05f11g639IIIT Hyderabad, Gachibowli, India
, - Pranav Manu
https://ror.org/05f11g639IIIT Hyderabad, Gachibowli, India
, - Amit Raj
Google Research, Atlanta, USA
, - Varun Jampani
Stability AI, Boston, USA
, - Avinash Sharma
https://ror.org/05f11g639IIIT Hyderabad, Gachibowli, India
https://ror.org/03yacj906IIT Jodhpur, Jodhpur, India
Computer Vision – ECCV 2024•September 2024, pp 458-475• https://doi.org/10.1007/978-3-031-73232-4_26AbstractIn this paper, we tackle a new and challenging problem of text-driven generation of 3D garments with high-quality textures. We propose, WordRobe, a novel framework for the generation of unposed & textured 3D garment meshes from user-friendly text ...
- 0Citation
MetricsTotal Citations0
- Astitva Srivastava
- Article
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image Using Latent Video Diffusion
- Vikram Voleti
Stability AI, London, UK
, - Chun-Han Yao
Stability AI, London, UK
, - Mark Boss
Stability AI, London, UK
, - Adam Letts
Stability AI, London, UK
, - David Pankratz
Stability AI, London, UK
, - Dmitry Tochilkin
Stability AI, London, UK
, - Christian Laforte
Stability AI, London, UK
, - Robin Rombach
Stability AI, London, UK
, - Varun Jampani
Stability AI, London, UK
Computer Vision – ECCV 2024•September 2024, pp 439-457• https://doi.org/10.1007/978-3-031-73232-4_25AbstractWe present Stable Video 3D (SV3D)—a latent video diffusion model for high-resolution, image-to-multi-view generation of orbital videos around a 3D object. Recent works propose to adapt 2D generative models for novel view synthesis (NVS) and 3D ...
- 0Citation
MetricsTotal Citations0
- Vikram Voleti
- Article
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
- Viraj Shah
Google Research, Boston, USA
UIUC, Champaign, USA
, - Nataniel Ruiz
Google Research, Boston, USA
, - Forrester Cole
Google Research, Boston, USA
, - Erika Lu
Google Research, Boston, USA
, - Svetlana Lazebnik
UIUC, Champaign, USA
, - Yuanzhen Li
Google Research, Boston, USA
, - Varun Jampani
Google Research, Boston, USA
Computer Vision – ECCV 2024•September 2024, pp 422-438• https://doi.org/10.1007/978-3-031-73232-4_24AbstractMethods for finetuning generative models for concept-driven personalization generally achieve strong results for subject-driven or style-driven generation. Recently, low-rank adaptations (LoRA) have been proposed as a parameter-efficient way of ...
- 0Citation
MetricsTotal Citations0
- Viraj Shah
- Article
SMooDi: Stylized Motion Diffusion Model
- Lei Zhong
https://ror.org/04t5xt781Northeastern University, Boston, USA
, - Yiming Xie
https://ror.org/04t5xt781Northeastern University, Boston, USA
, - Varun Jampani
Stability AI, London, UK
, - Deqing Sun
Google Research, Mountain View, USA
, - Huaizu Jiang
https://ror.org/04t5xt781Northeastern University, Boston, USA
Computer Vision – ECCV 2024•September 2024, pp 405-421• https://doi.org/10.1007/978-3-031-73232-4_23AbstractWe introduce a novel Stylized Motion Diffusion model, dubbed SMooDi, to generate stylized motion driven by content texts and style motion sequences. Unlike existing methods that either generate motion of various content or transfer style from one ...
- 0Citation
MetricsTotal Citations0
- Lei Zhong
- Article
3D Congealing: 3D-Aware Image Alignment in the Wild
- Yunzhi Zhang
https://ror.org/00f54p054Stanford University, Stanford, USA
, - Zizhang Li
https://ror.org/00f54p054Stanford University, Stanford, USA
, - Amit Raj
Google DeepMind, London, UK
, - Andreas Engelhardt
https://ror.org/03a1kwz48University of Tübingen, Tübingen, Germany
, - Yuanzhen Li
Google DeepMind, London, UK
, - Tingbo Hou
Meta GenAI, Paris, France
, - Jiajun Wu
https://ror.org/00f54p054Stanford University, Stanford, USA
, - Varun Jampani
Stability AI, London, UK
Computer Vision – ECCV 2024•September 2024, pp 387-404• https://doi.org/10.1007/978-3-031-73232-4_22AbstractWe propose 3D Congealing, a novel problem of 3D-aware alignment for 2D images capturing semantically similar objects. Given a collection of unlabeled Internet images, our goal is to associate the shared semantic parts from the inputs and aggregate ...
- 0Citation
MetricsTotal Citations0
- Yunzhi Zhang
- Article
ZeST: Zero-Shot Material Transfer from a Single Image
- Ta-Ying Cheng
https://ror.org/052gg0110University of Oxford, Oxford, England
Stability AI, London, England
, - Prafull Sharma
MIT CSAIL, Cambridge, MA, USA
, - Andrew Markham
https://ror.org/052gg0110University of Oxford, Oxford, England
, - Niki Trigoni
https://ror.org/052gg0110University of Oxford, Oxford, England
, - Varun Jampani
Stability AI, London, England
Computer Vision – ECCV 2024•September 2024, pp 370-386• https://doi.org/10.1007/978-3-031-73232-4_21AbstractWe propose ZeST, a method for zero-shot material transfer to an object in the input image given a material exemplar image. ZeST leverages existing diffusion adapters to extract implicit material representation from the exemplar image. This ...
- 0Citation
MetricsTotal Citations0
- Ta-Ying Cheng
- research-article
ViSER: video-specific surface embeddings for articulated 3D shape reconstruction
- Gengshan Yang
Carnegie Mellon University
, - Deqing Sun
Google Research
, - Varun Jampani
Google Research
, - Daniel Vlasic
Google Research
, - Forrester Cole
Google Research
, - Ce Liu
Microsoft Azure AI
, - Deva Ramanan
Carnegie Mellon University and Argo AI
NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems•December 2021, Article No.: 1478, pp 19326-19338We introduce ViSER, a method for recovering articulated 3D shapes and dense 3D trajectories from monocular videos. Previous work on high-quality reconstruction of dynamic 3D shapes typically relies on multiple synchronized cameras, strong category-...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3540261.3541739_supp.pdf
- Gengshan Yang
- research-article
Robust visual reasoning via language guided neural module networks
- Arjun R. Akula
UCLA Center for Vision, Cognition, Learning, and Autonomy
, - Varun Jampani
Google Research
, - Soravit Changpinyo
Google Research
, - Song-Chun Zhu
Beijing Institute for General Artificial Intelligence (BIGAI) and Tsinghua University and Peking University
NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems•December 2021, Article No.: 844, pp 11041-11053Neural module networks (NMN) are a popular approach for solving multi-modal tasks such as visual question answering (VQA) and visual referring expression recognition (REF). A key limitation in prior implementations of NMN is that the neural modules do ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3540261.3541105_supp.pdf
- Arjun R. Akula
- research-article
Neural-PIL: neural pre-integrated lighting for reflectance decomposition
- Mark Boss
University of Tübingen
, - Varun Jampani
Google Research
, - Raphael Braun
University of Tübingen
, - Ce Liu
Microsoft Azure AI
, - Jonathan T. Barron
Google Research
, - Hendrik P. A. Lensch
University of Tübingen
NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems•December 2021, Article No.: 818, pp 10691-10704Decomposing a scene into its shape, reflectance and illumination is a fundamental problem in computer vision and graphics. Neural approaches such as NeRF have achieved remarkable success in view synthesis, but do not explicitly perform decomposition and ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3540261.3541079_supp.pdf
- Mark Boss
- research-article
Aligning silhouette topology for self-adaptive 3D human pose recovery
- Mugalodi Rakesh
Indian Institute of Science, Bangalore
, - Jogendra Nath Kundu
Indian Institute of Science, Bangalore
, - Varun Jampani
Google Research
, - R. Venkatesh Babu
Indian Institute of Science, Bangalore
NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems•December 2021, Article No.: 350, pp 4582-4593Articulation-centric 2D/3D pose supervision forms the core training objective in most existing 3D human pose estimation techniques. Except for synthetic source environments, acquiring such rich supervision for each real target domain at deployment is ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3540261.3540611_supp.pdf
- Mugalodi Rakesh
- research-article
Non-local latent relation distillation for self-adaptive 3D human pose estimation
- Jogendra Nath Kundu
Indian Institute of Science, Bangalore
, - Siddharth Seth
Indian Institute of Science, Bangalore
, - Anirudh Jamkhandi
Indian Institute of Science, Bangalore
, - YM Pradyumna
Indian Institute of Science, Bangalore
, - Varun Jampani
Google Research
, - Anirban Chakraborty
Indian Institute of Science, Bangalore
, - R. Venkatesh Babu
Indian Institute of Science, Bangalore
NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems•December 2021, Article No.: 13, pp 158-171Available 3D human pose estimation approaches leverage different forms of strong (2D/3D pose) or weak (multi-view or depth) paired supervision. Barring synthetic or in-studio domains, acquiring such supervision for each new target environment is highly ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3540261.3540274_supp.pdf
- Jogendra Nath Kundu
- research-article
NAVI: category-agnostic image collections with high-quality 3D shape and pose annotations
- Varun Jampani
Google
, - Kevis-Kokitsi Maninis
Google
, - Andreas Engelhardt
Google
, - Arjun Karpur
Google
, - Karen Truong
Google
, - Kyle Sargent
Google
, - Stefan Popov
Google
, - André Araujo
Google
, - Ricardo Martin-Brualla
Google
, - Kaushal Patel
Google
, - Daniel Vlasic
Google
, - Vittorio Ferrari
Google
, - Ameesh Makadia
Google
, - Ce Liu
Google and Microsoft
, - Yuanzhen Li
Google
, - Howard Zhou
Google
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems•December 2023, Article No.: 3323, pp 76061-76084Recent advances in neural reconstruction enable high-quality 3D object reconstruction from casually captured image collections. Current techniques mostly analyze their progress on relatively simple image collections where Structure-from-Motion (SfM) ...
- 0Citation
MetricsTotal Citations0
- Varun Jampani
- research-article
ARTIC3D: learning robust articulated 3D shapes from noisy web image collections
- Chun-Han Yao
UC Merced
, - Amit Raj
Google Research
, - Wei-Chih Hung
Waymo
, - Yuanzhen Li
Google Research
, - Michael Rubinstein
Google Research
, - Ming-Hsuan Yang
UC Merced and Google Research and Yonsei University
, - Varun Jampani
Google Research
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems•December 2023, Article No.: 2090, pp 48173-48184Estimating 3D articulated shapes like animal bodies from monocular images is inherently challenging due to the ambiguities of camera viewpoint, pose, texture, lighting, etc. We propose ARTIC3D, a self-supervised framework to reconstruct per-instance 3D ...
- 0Citation
MetricsTotal Citations0
- Chun-Han Yao
- research-article
A tale of two features: stable diffusion complements DINO for zero-shot semantic correspondence
- Junyi Zhang
Shanghai Jiao Tong University
, - Charles Herrmann
Google Research
, - Junhwa Hur
Google Research
, - Luisa F. Polanía
Google Research
, - Varun Jampani
Google Research
, - Deqing Sun
Google Research
, - Ming-Hsuan Yang
Google Research and UC Merced
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems•December 2023, Article No.: 1973, pp 45533-45547Text-to-image diffusion models have made significant advances in generating and editing high-quality images. As a result, numerous approaches have explored the ability of diffusion model features to understand and process single images for downstream ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3666122.3668095_supp.pdf
- Junyi Zhang
- research-article
LayoutGPT: compositional visual planning and generation with large language models
- Weixi Feng
University of California, Santa Barbara
, - Wanrong Zhu
University of California, Santa Barbara
, - Tsu-jui Fu
University of California, Santa Barbara
, - Varun Jampani
Google
, - Arjun Akula
Google
, - Xuehai He
University of California, Santa Cruz
, - Sugato Basu
Google
, - Xin Eric Wang
University of California, Santa Cruz
, - William Yang Wang
University of California, Santa Barbara
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems•December 2023, Article No.: 802, pp 18225-18250Attaining a high degree of user controllability in visual generation often requires intricate, fine-grained inputs like layouts. However, such inputs impose a substantial burden on users when compared to simple text inputs. To address the issue, we study ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3666122.3666924_supp.pdf
- Weixi Feng
- research-article
Subsidiary prototype alignment for universal domain adaptation
- Jogendra Nath Kundu
Indian Institute of Science
, - Suvaansh Bhambri
Indian Institute of Science
, - Akshay Kulkarni
Indian Institute of Science
, - Hiran Sarkar
Indian Institute of Science
, - Varun Jampani
Google Research
, - R. Venkatesh Babu
Indian Institute of Science
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems•November 2022, Article No.: 2150, pp 29649-29662Universal Domain Adaptation (UniDA) deals with the problem of knowledge transfer between two datasets with domain-shift as well as category-shift. The goal is to categorize unlabeled target samples, either into one of the "known" categories or into a ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3600270.3602420_supp.pdf
- Jogendra Nath Kundu
- research-article
SAMURAI: shape and material from unconstrained real-world arbitrary image collections
- Mark Boss
University of Tübingen
, - Andreas Engelhardt
University of Tübingen
, - Abhishek Kar
Google
, - Yuanzhen Li
Google
, - Deqing Sun
Google
, - Jonathan T. Barron
Google
, - Hendrik P. A. Lensch
University of Tübingen
, - Varun Jampani
Google
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems•November 2022, Article No.: 1914, pp 26389-26403Inverse rendering of an object under entirely unknown capture conditions is a fundamental challenge in computer vision and graphics. Neural approaches such as NeRF have achieved photorealistic results on novel view synthesis, but they require known ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3600270.3602184_supp.pdf
- Mark Boss
- research-article
LASSIE: learning articulated shapes from sparse image ensemble via 3D part discovery
- Chun-Han Yao
UC Merced
, - Wei-Chih Hung
Waymo
, - Yuanzhen Li
Google Research
, - Michael Rubinstein
Google Research
, - Ming-Hsuan Yang
UC Merced and Google Research and Yonsei University
, - Varun Jampani
Google Research
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems•November 2022, Article No.: 1113, pp 15296-15308Creating high-quality articulated 3D models of animals is challenging either via manual creation or using 3D scanning tools. Therefore, techniques to reconstruct articulated 3D objects from 2D images are crucial and highly useful. In this work, we ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3600270.3601383_supp.pdf
- Chun-Han Yao
- research-article
Polynomial neural fields for subband decomposition and manipulation
- Guandao Yang
Cornell University
, - Sagie Benaim
University of Copenhagen
, - Varun Jampani
Google Research
, - Kyle Genova
Google Research
, - Jonathan T. Barron
Google Research
, - Thomas Funkhouser
Google Research
, - Bharath Hariharan
Cornell University
, - Serge Belongie
University of Copenhagen
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems•November 2022, Article No.: 318, pp 4401-4415Neural fields have emerged as a new paradigm for representing signals, thanks to their ability to do it compactly while being easy to optimize. In most applications, however, neural fields are treated like black boxes, which precludes many signal ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3600270.3600588_supp.pdf
- Guandao Yang
Author Profile Pages
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Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
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These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
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Bibliometrics
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ACM Author-Izer Service
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FAQ
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A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner