Biography

Andrea Tagliasacchi is an associate professor at Simon Fraser University (Vancouver, Canada) where he holds the appointment of Visual Computing Research Chair within the school of computing science. He is also a part-time (20%) staff research scientist at Google DeepMind (Toronto, Canada), as well as an associate professor (status only) in the computer science department at the University of Toronto. Before joining SFU, he spent four wonderful years as a full-time researcher at Google (mentored by Paul Lalonde, Geoffrey Hinton, and David Fleet). Before joining Google, he was an assistant professor at the University of Victoria (2015-2017), where he held the Industrial Research Chair in 3D Sensing (jointly sponsored by Google and Intel). His alma mater include EPFL (postdoc) SFU (PhD, NSERC Alexander Graham Bell fellow) and Politecnico di Milano (MSc, gold medalist). Several of his papers have received best-paper award nominations at top-tier graphics and vision conferences, and he is the recipient of the 2015 SGP best paper award, the 2020 CVPR best student paper award, and the 2024 CVPR best paper award (honorable mention). His research focuses on 3D visual perception, which lies at the intersection of computer vision, computer graphics and machine learning.

Contacts

Hiring graduate students (Sep. 2025 entry)

I am currently hiring graduate students to join my lab. If you want to push the boundary of computer vision with machine learning towards effective understanding of the 3D world, with applications to autonomous systems/robotics, inverse graphics, and augmented reality, please apply here the application deadline is mid-January 2025. To apply to my group, simply mention my name in the application system. Please only use andrea.tagliasacchi+hiring@sfu.ca for inquiries about graduate admissions (admission emails sent to other recipients are auto-deleted). I promise to read all emails, however, I am likely unable to reply to individual inquiries due to the volume.

Recent news

Recent service

Team

Alumni

Publications

3D Gaussian Splatting as Markov Chain Monte Carlo — NEW!!!
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
arXiv preprint

@arxiv{kheradmand2024mcmc,
venue={arXiv preprint},
title={3D Gaussian Splatting as Markov Chain Monte Carlo},
year={2024},
arxiv={https://arxiv.org/abs/2404.09591},
authors={Shakiba Kheradmand and Daniel Rebain and Gopal Sharma and Weiwei Sun and Jeff Tseng and Hossam Isack and Abhishek Kar and Andrea Tagliasacchi and Kwang Moo Yi}
}

SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting — NEW!!!
Sara Sabour, Lily Goli, George Kopanas, Mark Matthews, Dmitry Lagun, Leonidas Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi
arXiv preprint

@arxiv{sabour2024sls,
venue={arXiv preprint},
title={SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting},
year={2024},
arxiv={https://arxiv.org/abs/2406.20055},
authors={Sara Sabour and Lily Goli and George Kopanas and Mark Matthews and Dmitry Lagun and Leonidas Guibas and Alec Jacobson and David J. Fleet and Andrea Tagliasacchi}
}

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control — NEW!!!
Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov
arXiv preprint

@arxiv{bahmani2024vd3d,
venue={arXiv preprint},
title={VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control},
year={2024},
arxiv={https://arxiv.org/abs/2407.12781},
authors={Sherwin Bahmani and Ivan Skorokhodov and Aliaksandr Siarohin and Willi Menapace and Guocheng Qian and Michael Vasilkovsky and Hsin-Ying Lee and Chaoyang Wang and Jiaxu Zou and Andrea Tagliasacchi and David B. Lindell and Sergey Tulyakov}
}

4DiM: Controlling Space and Time with Diffusion Models — NEW!!!
Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David Fleet
arXiv preprint

@arxiv{watson2024fourdim,
venue={arXiv preprint},
title={4DiM: Controlling Space and Time with Diffusion Models},
year={2024},
arxiv={https://arxiv.org/abs/2407.07860},
authors={Daniel Watson and Saurabh Saxena and Lala Li and Andrea Tagliasacchi and David Fleet}
}

TC4D: Trajectory-Conditioned Text-to-4D Generation — ECCV'24
Sherwin Bahmani, Xian Liu, Yifan Wang, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B. Lindell
European Conference on Computer Vision (ECCV)

@conference{bahmani2024trajectory,
title={TC4D: Trajectory-Conditioned Text-to-4D Generation},
year={2024},
venue={European Conference on Computer Vision (ECCV)},
arxiv={https://arxiv.org/abs/2403.17920},
authors={Sherwin Bahmani and Xian Liu and Yifan Wang and Ivan Skorokhodov and Victor Rong and Ziwei Liu and Xihui Liu and Jeong Joon Park and Sergey Tulyakov and Gordon Wetzstein and Andrea Tagliasacchi and David B. Lindell}
}

Lagrangian Hashing for Compressed Neural Field Representations — ECCV'24
Shrisudhan Govindarajan, Zeno Sambugaro, Ahan Shabhanov, Towaki Takikawa, Weiwei Sun, Daniel Rebain, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi
European Conference on Computer Vision (ECCV)

@conference{shri2024laghash,
title={Lagrangian Hashing for Compressed Neural Field Representations},
year={2024},
venue={European Conference on Computer Vision (ECCV)},
authors={Shrisudhan Govindarajan and Zeno Sambugaro and Ahan Shabhanov and Towaki Takikawa and Weiwei Sun and Daniel Rebain and Nicola Conci and Kwang Moo Yi and Andrea Tagliasacchi}
}

Volumetric Rendering with Baked Quadrature Fields — ECCV'24
Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
European Conference on Computer Vision (ECCV)

@conference{sharma2024quadrature,
title={Volumetric Rendering with Baked Quadrature Fields},
year={2024},
venue={European Conference on Computer Vision (ECCV)},
arxiv={https://arxiv.org/abs/2312.02202},
authors={Gopal Sharma and Daniel Rebain and Kwang Moo Yi and Andrea Tagliasacchi}
}

PointNeRF++: A multi-scale, point-based Neural Radiance Field — ECCV'24
Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi
European Conference on Computer Vision (ECCV)

@conference{sun2024pointnerfpp,
title={PointNeRF++: A multi-scale, point-based Neural Radiance Field},
year={2024},
venue={European Conference on Computer Vision (ECCV)},
arxiv={https://arxiv.org/abs/2312.02362},
authors={Weiwei Sun and Eduard Trulls and Yang-Che Tseng and Sneha Sambandam and Gopal Sharma and Andrea Tagliasacchi and Kwang Moo Yi}
}

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling — CVPR'24
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David Lindell
Computer Vision and Pattern Recognition (CVPR)

@conference{bahmani2024fourdfy,
title={4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling},
year={2024},
venue={Computer Vision and Pattern Recognition (CVPR)},
arxiv={https://arxiv.org/abs/2311.17984},
authors={Sherwin Bahmani and Ivan Skorokhodov and Victor Rong and Gordon Wetzstein and Leonidas Guibas and Peter Wonka and Sergey Tulyakov and Jeong Joon Park and Andrea Tagliasacchi and David Lindell}
}

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction — CVPR'24 (oral, best paper honorable mention)
David Charatan, Sizhe Li, Andrea Tagliasacchi, Vincent Sitzmann
Computer Vision and Pattern Recognition (CVPR)

@conference{charatan2024pixelsplat,
title={pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction},
year={2024},
venue={Computer Vision and Pattern Recognition (CVPR)},
notes={oral,best paper honorable mention},
arxiv={https://arxiv.org/abs/2312.12337},
authors={David Charatan and Sizhe Li and Andrea Tagliasacchi and Vincent Sitzmann}
}

BANF: Band-limited Neural Fields for Levels of Detail Reconstruction — CVPR'24
Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{shabanov2024banf,
title={BANF: Band-limited Neural Fields for Levels of Detail Reconstruction},
year={2024},
venue={Computer Vision and Pattern Recognition (CVPR)},
authors={Ahan Shabanov and Shrisudhan Govindarajan and Cody Reading and Daniel Rebain and Kwang Moo Yi and Andrea Tagliasacchi}
}

Unsupervised Keypoints from Pretrained Diffusion Models — CVPR'24 (spotlight)
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
Computer Vision and Pattern Recognition (CVPR)

@conference{hedlin2024keypoints,
title={Unsupervised Keypoints from Pretrained Diffusion Models},
year={2024},
venue={Computer Vision and Pattern Recognition (CVPR)},
arxiv={https://arxiv.org/abs/2312.00065},
notes={spotlight},
authors={Eric Hedlin and Gopal Sharma and Shweta Mahajan and Hossam Isack and Abhishek Kar and Helge Rhodin and Andrea Tagliasacchi and Kwang Moo Yi}
}

Accelerating Neural Field Training via Soft Mining — CVPR'24
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Computer Vision and Pattern Recognition (CVPR)

@conference{kheradmand2024softmining,
title={Accelerating Neural Field Training via Soft Mining},
year={2024},
venue={Computer Vision and Pattern Recognition (CVPR)},
arxiv={https://arxiv.org/abs/2312.00075},
authors={Shakiba Kheradmand and Daniel Rebain and Gopal Sharma and Hossam Isack and Abhishek Kar and Andrea Tagliasacchi and Kwang Moo Yi}
}

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields — CVPR'24 (spotlight)
Lily Goli, Cody Reading, Silvia Sellan, Alec Jacobson, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{goli2024bayesrays,
title={Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields},
year={2024},
venue={Computer Vision and Pattern Recognition (CVPR)},
notes={spotlight},
arxiv={https://arxiv.org/abs/2309.03185},
authors={Lily Goli and Cody Reading and Silvia Sellan and Alec Jacobson and Andrea Tagliasacchi}
}

Neural Fields as Distributions: Signal Processing Beyond Euclidean Space — CVPR'24
Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{rebain2024nfd,
title={Neural Fields as Distributions: Signal Processing Beyond Euclidean Space},
year={2024},
venue={Computer Vision and Pattern Recognition (CVPR)},
arxiv={http://ubc-vision.github.io/nfd},
authors={Daniel Rebain and Soroosh Yazdani and Kwang Moo Yi and Andrea Tagliasacchi}
}

Neural Fields with Hard Constraints of Arbitrary Differential Order — NeurIPS'23
Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Oztireli
Neural Information Processing Systems (NeurIPS)

@conference{zhong2023nkf,
title={Neural Fields with Hard Constraints of Arbitrary Differential Order},
authors={Fangcheng Zhong and Kyle Fogarty and Param Hanji and Tianhao Wu and Alejandro Sztrajman and Andrew Spielberg and Andrea Tagliasacchi and Petra Bosilj and Cengiz Oztireli},
venue={Neural Information Processing Systems (NeurIPS)},
arxiv={https://arxiv.org/abs/2306.08943},
year={2023}
}

Unsupervised Semantic Correspondence Using Stable Diffusion — NeurIPS'23
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Neural Information Processing Systems (NeurIPS)

@conference{hedlin2023unsupervised,
title={Unsupervised Semantic Correspondence Using Stable Diffusion},
authors={Eric Hedlin and Gopal Sharma and Shweta Mahajan and Hossam Isack and Abhishek Kar and Andrea Tagliasacchi and Kwang Moo Yi},
venue={Neural Information Processing Systems (NeurIPS)},
arxiv={https://arxiv.org/abs/2305.15581},
year={2023}
}

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes — ICCV'23
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas Guibas, Andrea Tagliasacchi
International Conference on Computer Vision (ICCV)

@conference{bahmani2023cc3d,
title={CC3D: Layout-Conditioned Generation of Compositional 3D Scenes},
authors={Sherwin Bahmani and Jeong Joon Park and Despoina Paschalidou and Xingguang Yan and Gordon Wetzstein and Leonidas Guibas and Andrea Tagliasacchi},
venue={International Conference on Computer Vision (ICCV)},
arxiv={https://arxiv.org/abs/2303.12074},
year={2023}
}

RobustNeRF: Ignoring Distractors with Robust Losses — CVPR'23 (highlight)
Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{sabour2023robustnerf,
title={RobustNeRF: Ignoring Distractors with Robust Losses},
authors={Sara Sabour and Suhani Vora and Daniel Duckworth and Ivan Krasin and David J. Fleet and Andrea Tagliasacchi},
venue={Computer Vision and Pattern Recognition (CVPR)},
arxiv={https://arxiv.org/abs/2302.00833},
notes={highlight},
year={2023}
}

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures — CVPR'23 (oral, best paper award finalist)
Zhiqin Chen, Tom Funkhouser, Peter Hedman, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{chen2023mobilenerf,
title={MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures},
year={2023},
venue={Computer Vision and Pattern Recognition (CVPR)},
arxiv={https://arxiv.org/abs/2208.00277},
notes={oral,best paper award finalist},
authors={Zhiqin Chen and Tom Funkhouser and Peter Hedman and Andrea Tagliasacchi}
}

BlendFields: Few-Shot Example-Driven Facial Modeling — CVPR'23
Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Tomasz Trzcinski, Julien Valentin, Marek Kowalski
Computer Vision and Pattern Recognition (CVPR)

@conference{kania2023blendfields,
title={BlendFields: Few-Shot Example-Driven Facial Modeling},
authors={Kacper Kania and Stephan J. Garbin and Andrea Tagliasacchi and Virginia Estellers and Kwang Moo Yi and Tomasz Trzcinski and Julien Valentin and Marek Kowalski},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2023}
}

SparsePose: Sparse-View Camera Pose Regression and Refinement — CVPR'23
Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
Computer Vision and Pattern Recognition (CVPR)

@conference{sinha2023sparsepose,
title={SparsePose: Sparse-View Camera Pose Regression and Refinement},
authors={Samarth Sinha and Jason Y. Zhang and Andrea Tagliasacchi and Igor Gilitschenski and David B. Lindell},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2023}
}

OpenScene: 3D Scene Understanding with Open Vocabularies — CVPR'23
Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas Funkhouser
Computer Vision and Pattern Recognition (CVPR)

@conference{peng2023openscene,
title={OpenScene: 3D Scene Understanding with Open Vocabularies},
arxiv={https://arxiv.org/abs/2211.15654},
authors={Songyou Peng and Kyle Genova and Chiyu Max Jiang and Andrea Tagliasacchi and Marc Pollefeys and Thomas Funkhouser},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2023}
}

NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization — CVPR'23
Shitao Tang, Sicong Tang, Fuyang Zhang, Andrea Tagliasacchi, Ping Tan, Yasutaka Furukawa
Computer Vision and Pattern Recognition (CVPR)

@conference{tang2023neumap,
title={NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization},
authors={Shitao Tang and Sicong Tang and Fuyang Zhang and Andrea Tagliasacchi and Ping Tan and Yasutaka Furukawa},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2023}
}

CUF: Continuous Upsampling Filters — CVPR'23
Cristina Vasconcelos, Kevin Swersky, Mark Matthews, Milad Hashemi, Cengiz Oztireli, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{vasconcelos2023cuf,
title={CUF: Continuous Upsampling Filters},
arxiv={https://arxiv.org/abs/2210.06965},
authors={Cristina Vasconcelos and Kevin Swersky and Mark Matthews and Milad Hashemi and Cengiz Oztireli and Andrea Tagliasacchi},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2023}
}

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds — WACV'23
Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovic, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
Winter Applications of Computer Vision (WACV)

@conference{sun2023neuralbf,
title={NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds},
arxiv={https://arxiv.org/abs/2207.09978},
authors={Weiwei Sun and Daniel Rebain and Renjie Liao and Vladimir Tankovic and Soroosh Yazdani and Kwang Moo Yi and Andrea Tagliasacchi},
venue={Winter Applications of Computer Vision (WACV)},
year={2023}
}

Novel View Synthesis with Diffusion Models (3DiM) — ICLR'23
Daniel Watson, William Chen, Ricardo Martin Brualla, Andrea Tagliasacchi, Mohammad Norouzi
International Conference on Learning Representations (ICLR)

@conference{watson2023diffusion,
title={Novel View Synthesis with Diffusion Models (3DiM)},
authors={Daniel Watson and William Chen and Ricardo Martin Brualla and Andrea Tagliasacchi and Mohammad Norouzi},
venue={International Conference on Learning Representations (ICLR)},
year={2023},
arxiv={https://arxiv.org/abs/2210.04628}
}

nerf2nerf: Pairwise Registration of Neural Radiance Fields — ICRA'23
Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi
International Conference on Robotics and Automation (ICRA)

@conference{goli2023nerf2nerf,
title={nerf2nerf: Pairwise Registration of Neural Radiance Fields},
authors={Lily Goli and Daniel Rebain and Sara Sabour and Animesh Garg and Andrea Tagliasacchi},
year={2023},
venue={International Conference on Robotics and Automation (ICRA)},
arxiv={https://arxiv.org/abs/2211.01600}
}

Attention Beats Concatenation for Conditioning Neural Fields — TMLR'23
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi
Transactions on Machine Learning Research (TMLR)

@journal{rebain2023abc,
title={Attention Beats Concatenation for Conditioning Neural Fields},
arxiv={https://arxiv.org/abs/2209.10684},
year={2023},
venue={Transactions on Machine Learning Research (TMLR)},
authors={Daniel Rebain and Mark J. Matthews and Kwang Moo Yi and Gopal Sharma and Dmitry Lagun and Andrea Tagliasacchi}
}

Volume Rendering Digest (for NeRF) — techreport
Andrea Tagliasacchi, Ben Mildenhall
Technical Report

@techreport{tagliasacchi2022volume,
title={Volume Rendering Digest (for NeRF)},
year={2022},
venue={Technical Report},
arxiv={https://arxiv.org/abs/2209.02417},
authors={Andrea Tagliasacchi and Ben Mildenhall}
}

D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video — NeurIPS'22
Tianhao Wu, Fangcheng Zhong, Forrester Cole, Andrea Tagliasacchi, Cengiz Oztireli
Neural Information Processing Systems (NeurIPS)

@conference{wu2022ddnerf,
title={D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video},
year={2022},
venue={Neural Information Processing Systems (NeurIPS)},
arxiv={https://arxiv.org/abs/2205.15838},
authors={Tianhao Wu and Fangcheng Zhong and Forrester Cole and Andrea Tagliasacchi and Cengiz Oztireli}
}

NeSF: Neural Semantic Fields — TMLR'22
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
Transactions on Machine Learning Research (TMLR)

@journal{vora2022nesf,
title={NeSF: Neural Semantic Fields},
venue={Transactions on Machine Learning Research (TMLR)},
year={2021},
authors={Suhani Vora and Noha Radwan and Klaus Greff and Henning Meyer and Kyle Genova and Mehdi S. M. Sajjadi and Etienne Pot and Andrea Tagliasacchi and Daniel Duckworth}
}

Neural Dual Contouring — SIG'22
Zhiqin Chen, Andrea Tagliasacchi, Thomas Funkhouser, Richard Zhang
ACM Transaction on Graphics (Proc. SIGGRAPH)

@journal{chen2022ndc,
title={Neural Dual Contouring},
year={2022},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH)},
arxiv={https://arxiv.org/abs/2202.01999},
authors={Zhiqin Chen and Andrea Tagliasacchi and Thomas Funkhouser and Richard Zhang}
}

Urban Radiance Fields — CVPR'22
Konstantinos Rematas, Andrew Liu, Pratul Srinivasan, Jonathan Barron, Andrea Tagliasacchi, Thomas Funkhouser, Vittorio Ferrari
Computer Vision and Pattern Recognition (CVPR)

@conference{rematas2022urf,
title={Urban Radiance Fields},
venue={Computer Vision and Pattern Recognition (CVPR)},
arxiv={https://arxiv.org/abs/2111.14643},
year={2022},
authors={Konstantinos Rematas and Andrew Liu and Pratul Srinivasan and Jonathan Barron and Andrea Tagliasacchi and Thomas Funkhouser and Vittorio Ferrari}
}

CoNeRF: Controllable Neural Radiance Fields — CVPR'22
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{kania2022conerf,
title={CoNeRF: Controllable Neural Radiance Fields},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2021},
authors={Kacper Kania and Kwang Moo Yi and Marek Kowalski and Tomasz Trzcinski and Andrea Tagliasacchi}
}

LOLNeRF: Learn from One Look — CVPR'22
Daniel Rebain, Mark Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{rebain2021lolnerf,
title={LOLNeRF: Learn from One Look},
venue={Computer Vision and Pattern Recognition (CVPR)},
arxiv={https://arxiv.org/abs/2111.09996},
year={2022},
authors={Daniel Rebain and Mark Matthews and Kwang Moo Yi and Dmitry Lagun and Andrea Tagliasacchi}
}

Scene Representation Transformer — CVPR'22
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{sajjadi2022srt,
title={Scene Representation Transformer},
year={2021},
venue={Computer Vision and Pattern Recognition (CVPR)},
authors={Mehdi S. M. Sajjadi and Henning Meyer and Etienne Pot and Urs Bergmann and Klaus Greff and Noha Radwan and Suhani Vora and Mario Lucic and Daniel Duckworth and Alexey Dosovitskiy and Jakob Uszkoreit and Thomas Funkhouser and Andrea Tagliasacchi}
}

MetaPose: fast 3D pose from multiple views without 3D supervision — CVPR'22
Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
Computer Vision and Pattern Recognition (CVPR)

@conference{usman2022metapose,
title={MetaPose: fast 3D pose from multiple views without 3D supervision},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2021},
authors={Ben Usman and Andrea Tagliasacchi and Kate Saenko and Avneesh Sud}
}

Kubric: A scalable dataset generator — CVPR'22
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 Laradji, Hsueh-Ti (Derek) Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, 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
Computer Vision and Pattern Recognition (CVPR)

@conference{greff2022kubric,
title={Kubric: A scalable dataset generator},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2021},
authors={Klaus Greff and Francois Belletti and Lucas Beyer and Carl Doersch and Yilun Du and Daniel Duckworth and David J Fleet and Dan Gnanapragasam and Florian Golemo and Charles Herrmann and Thomas Kipf and Abhijit Kundu and Dmitry Lagun and Issam Laradji and Hsueh-Ti (Derek) Liu and Henning Meyer and Yishu Miao and Derek Nowrouzezahrai and Cengiz Oztireli and Etienne Pot and Noha Radwan and Daniel Rebain and Sara Sabour and Mehdi S. M. Sajjadi and Matan Sela and Vincent Sitzmann and Austin Stone and Deqing Sun and Suhani Vora and Ziyu Wang and Tianhao Wu and Kwang Moo Yi and Fangcheng Zhong and Andrea Tagliasacchi}
}

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation — CVPR'22
Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas Funkhouser
Computer Vision and Pattern Recognition (CVPR)

@conference{kundu2022panoptic,
title={Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation},
year={2022},
venue={Computer Vision and Pattern Recognition (CVPR)},
authors={Abhijit Kundu and Kyle Genova and Xiaoqi Yin and Alireza Fathi and Caroline Pantofaru and Leonidas Guibas and Andrea Tagliasacchi and Frank Dellaert and Thomas Funkhouser}
}

Neural Descriptor Fields — ICRA'22
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann
International Conference on Robotics and Automation (ICRA)

@conference{simeonov2022ndf,
title={Neural Descriptor Fields},
venue={International Conference on Robotics and Automation (ICRA)},
year={2022},
authors={Anthony Simeonov and Yilun Du and Andrea Tagliasacchi and Joshua B. Tenenbaum and Alberto Rodriguez and Pulkit Agrawal and Vincent Sitzmann}
}

Canonical Capsules: Self-supervised Capsules in Canonical Pose — NeurIPS'21
Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey Hinton, Kwang Moo Yi
Neural Information Processing Systems (NeurIPS)

@conference{sun2021caca,
title={Canonical Capsules: Self-supervised Capsules in Canonical Pose},
venue={Neural Information Processing Systems (NeurIPS)},
year={2021},
authors={Weiwei Sun and Andrea Tagliasacchi and Boyang Deng and Sara Sabour and Soroosh Yazdani and Geoffrey Hinton and Kwang Moo Yi}
}

Deep Medial Fields — techreport
Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
Technical Report

@techreport{rebain2021deep,
title={Deep Medial Fields},
venue={Technical Report},
year={2021},
authors={Daniel Rebain and Ke Li and Vincent Sitzmann and Soroosh Yazdani and Kwang Moo Yi and Andrea Tagliasacchi}
}

COTR: Correspondence transformer for matching across images — ICCV'21 (oral)
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
International Conference on Computer Vision (ICCV)

@conference{jiang2021cotr,
title={COTR: Correspondence transformer for matching across images},
year={2021},
venue={International Conference on Computer Vision (ICCV)},
arxiv={https://arxiv.org/abs/2103.14167},
notes={oral},
authors={Wei Jiang and Eduard Trulls and Jan Hosang and Andrea Tagliasacchi and Kwang Moo Yi}
}

Vector Neurons: a general framework for SO(3)-equivariant networks — ICCV'21 (oral)
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas Guibas
International Conference on Computer Vision (ICCV)

@conference{deng2021vn,
title={Vector Neurons: a general framework for SO(3)-equivariant networks},
year={2021},
venue={International Conference on Computer Vision (ICCV)},
notes={oral},
authors={Congyue Deng and Or Litany and Yueqi Duan and Adrien Poulenard and Andrea Tagliasacchi and Leonidas Guibas}
}

Unsupervised part representation by Flow Capsules — ICML'21
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
International Conference on Machine Learning (ICML)

@conference{sabour2021flowcaps,
title={Unsupervised part representation by Flow Capsules},
year={2021},
venue={International Conference on Machine Learning (ICML)},
authors={Sara Sabour and Andrea Tagliasacchi and Soroosh Yazdani and Geoffrey E. Hinton and David J. Fleet}
}

DeRF: Decomposed Radiance Fields — CVPR'21
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{rebain2021derf,
title={DeRF: Decomposed Radiance Fields},
year={2021},
venue={Computer Vision and Pattern Recognition (CVPR)},
authors={Daniel Rebain and Wei Jiang and Soroosh Yazdani and Ke Li and Kwang Moo Yi and Andrea Tagliasacchi}
}

MIST: Multiple Instance Spatial Transformer Networks — CVPR'21
Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi
Computer Vision and Pattern Recognition (CVPR)

@conference{angles2021mist,
title={MIST: Multiple Instance Spatial Transformer Networks},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2021},
authors={Baptiste Angles and Yuhe Jin and Simon Kornblith and Andrea Tagliasacchi and Kwang Moo Yi}
}

Learning Mesh Representations via Binary Space Partitioning Tree Networks — TPAMI
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

@journal{chen2021bspnet,
title={Learning Mesh Representations via Binary Space Partitioning Tree Networks},
venue={Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
year={2021},
arxiv={https://arxiv.org/abs/2106.14274},
authors={Zhiqin Chen and Andrea Tagliasacchi and Hao Zhang}
}

PIE-NET: Parametric Inference of Point Cloud Edges — NeurIPS'20
Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang
Neural Information Processing Systems (NeurIPS)

@conference{wang2020pienet,
title={PIE-NET: Parametric Inference of Point Cloud Edges},
year={2020},
venue={Neural Information Processing Systems (NeurIPS)},
authors={Xiaogang Wang and Yuelang Xu and Kai Xu and Andrea Tagliasacchi and Bin Zhou and Ali Mahdavi-Amiri and Hao Zhang}
}

CoSE: Compositional Stroke Embeddings — NeurIPS'20
Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges
Neural Information Processing Systems (NeurIPS)

@conference{aksan2020cose,
title={CoSE: Compositional Stroke Embeddings},
year={2020},
venue={Neural Information Processing Systems (NeurIPS)},
arxiv={https://arxiv.org/pdf/2006.09930},
authors={Emre Aksan and Thomas Deselaers and Andrea Tagliasacchi and Otmar Hilliges}
}

ShapeFlow: Learnable Deformations Among 3D Shapes — NeurIPS'20 (spotlight)
Chiyu "Max" Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas Guibas
Neural Information Processing Systems (NeurIPS)

@conference{jiang2020shapeflow,
title={ShapeFlow: Learnable Deformations Among 3D Shapes},
venue={Neural Information Processing Systems (NeurIPS)},
notes={spotlight},
year={2020},
arxiv={https://arxiv.org/abs/2006.07982},
authors={Chiyu "Max" Jiang and Jingwei Huang and Andrea Tagliasacchi and Leonidas Guibas}
}

NASA: Neural Articulated Shape Approximation — ECCV'20
Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi
European Conference on Computer Vision (ECCV)

@conference{deng2020nasa,
title={NASA: Neural Articulated Shape Approximation},
venue={European Conference on Computer Vision (ECCV)},
year={2020},
authors={Boyang Deng and JP Lewis and Timothy Jeruzalski and Gerard Pons-Moll and Geoffrey Hinton and Mohammad Norouzi and Andrea Tagliasacchi}
}

NiLBS: Neural Inverse Linear Blend Skinning — techreport
Timothy Jeruzalski, David I. W. Levin, Alec Jacobson, Paul Lalonde, Mohammad Norouzi, Andrea Tagliasacchi
Technical Report

@techreport{jeruzalski2020nilbs,
title={NiLBS: Neural Inverse Linear Blend Skinning},
venue={Technical Report},
year={2020},
arxiv={https://arxiv.org/abs/2004.05980},
authors={Timothy Jeruzalski and David I. W. Levin and Alec Jacobson and Paul Lalonde and Mohammad Norouzi and Andrea Tagliasacchi}
}

VoronoiNet: General Functional Approximators with Local Support — CVPRW'20
Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
Computer Vision and Pattern Recognition Workshops (CVPRW)

@techreport{williams2020voronoinet,
title={VoronoiNet: General Functional Approximators with Local Support},
year={2020},
venue={Computer Vision and Pattern Recognition Workshops (CVPRW)},
arxiv={https://arxiv.org/abs/1912.03629},
authors={Francis Williams and Daniele Panozzo and Kwang Moo Yi and Andrea Tagliasacchi}
}

BSP-Net: Generating Compact Meshes via Binary Space Partitioning — CVPR'20 (oral, best student paper award)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
Computer Vision and Pattern Recognition (CVPR)

@conference{chen2020bspnet,
title={BSP-Net: Generating Compact Meshes via Binary Space Partitioning},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2020},
notes={oral,best student paper award},
authors={Zhiqin Chen and Andrea Tagliasacchi and Hao Zhang}
}

CvxNet: Learnable Convex Decomposition — CVPR'20 (oral, best paper award finalist)
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi
Computer Vision and Pattern Recognition (CVPR)

@conference{deng2020cvxnet,
title={CvxNet: Learnable Convex Decomposition},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2020},
notes={oral,best paper award finalist},
authors={Boyang Deng and Kyle Genova and Soroosh Yazdani and Sofien Bouaziz and Geoffrey Hinton and Andrea Tagliasacchi}
}

Deep Implicit Volume Compression — CVPR'20 (oral)
Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Haene, Mingsong Dou, Sean Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin
Computer Vision and Pattern Recognition (CVPR)

@conference{tang2020compression,
title={Deep Implicit Volume Compression},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2020},
notes={oral},
authors={Danhang Tang and Saurabh Singh and Philip A. Chou and Christian Haene and Mingsong Dou and Sean Fanello and Jonathan Taylor and Philip Davidson and Onur G. Guleryuz and Yinda Zhang and Shahram Izadi and Andrea Tagliasacchi and Sofien Bouaziz and Cem Keskin}
}

Attentive Context Normalization for Robust Permutation-Equivariant Learning — CVPR'20
Weiwei Sun, Wei Jiang, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
Computer Vision and Pattern Recognition (CVPR)

@conference{sun2020acne,
title={Attentive Context Normalization for Robust Permutation-Equivariant Learning},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2020},
authors={Weiwei Sun and Wei Jiang and Andrea Tagliasacchi and Eduard Trulls and Kwang Moo Yi}
}

Deep reflectance fields — SIG'19
Meka, Haene, Pandey, Zollhoefer, Fanello, Fyffe, Kowdle, Yu, Busch, Dourgarian, Denny, Bouaziz, Lincoln, Whalen, Harvey, Taylor, Izadi, Tagliasacchi, Debevec, Theobalt, Valentin, Rhemann
ACM Transaction on Graphics (Proc. SIGGRAPH)

@journal{meka2019drf,
title={Deep reflectance fields},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH)},
year={2019},
authors={Meka and Haene and Pandey and Zollhoefer and Fanello and Fyffe and Kowdle and Yu and Busch and Dourgarian and Denny and Bouaziz and Lincoln and Whalen and Harvey and Taylor and Izadi and Tagliasacchi and Debevec and Theobalt and Valentin and Rhemann}
}

Linearized Multi-Sampling for Differentiable Image Transformation — ICCV'19 (oral)
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
International Conference on Computer Vision (ICCV)

@conference{jiang2019linearized,
title={Linearized Multi-Sampling for Differentiable Image Transformation},
venue={International Conference on Computer Vision (ICCV)},
notes={oral},
year={2019},
authors={Wei Jiang and Weiwei Sun and Andrea Tagliasacchi and Eduard Trulls and Kwang Moo Yi}
}

Multi-Robot Collaborative Dense Scene Reconstruction — SIG'19
Siyan Dong, Kai Xu, Qiang Zhou, Andrea Tagliasacchi, Shiqing Xin, Matthias Niessner, Baoquan Chen
ACM Transaction on Graphics (Proc. SIGGRAPH Asia)

@journal{dong2019multirobot,
title={Multi-Robot Collaborative Dense Scene Reconstruction},
year={2019},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH Asia)},
authors={Siyan Dong and Kai Xu and Qiang Zhou and Andrea Tagliasacchi and Shiqing Xin and Matthias Niessner and Baoquan Chen}
}

VIPER: Volume Invariant Position-based Elastic Rods — SCA'19
Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John Lewis, Javier von der Pahlen, Shahram Izadi, Julien Valentin, Sofien Bouaziz, Andrea Tagliasacchi
Proceedings of the ACM (Proc. Symposium on Computer Animation)

@journal{angles2019viper,
title={VIPER: Volume Invariant Position-based Elastic Rods},
venue={Proceedings of the ACM (Proc. Symposium on Computer Animation)},
year={2019},
authors={Baptiste Angles and Daniel Rebain and Miles Macklin and Brian Wyvill and Loic Barthe and John Lewis and Javier von der Pahlen and Shahram Izadi and Julien Valentin and Sofien Bouaziz and Andrea Tagliasacchi}
}

Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning — CVPR'19
Rohit Kumar Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Fanello
Computer Vision and Pattern Recognition (CVPR)

@conference{pandey2019semiparametric,
title={Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning},
venue={Computer Vision and Pattern Recognition (CVPR)},
year={2019},
authors={Rohit Kumar Pandey and Anastasia Tkach and Shuoran Yang and Pavel Pidlypenskyi and Jonathan Taylor and Ricardo Martin Brualla and Andrea Tagliasacchi and George Papandreou and Philip Davidson and Cem Keskin and Shahram Izadi and Sean Fanello}
}

HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images — CRV'19
Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, Andrea Tagliasacchi
Computer and Robot Vision (CRV)

@conference{bojja2019handseg,
title={HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images},
venue={Computer and Robot Vision (CRV)},
year={2019},
authors={Abhishake Kumar Bojja and Franziska Mueller and Sri Raghu Malireddi and Markus Oberweger and Vincent Lepetit and Christian Theobalt and Kwang Moo Yi and Andrea Tagliasacchi}
}

LSMAT: Least Squares Medial Axis Transform — CGF'19
Daniel Rebain, Baptiste Angles, Julien Valentin, Jiju Peethambaran, Shahram Izadi, Nicholas Vining, Andrea Tagliasacchi
Computer Graphics Forum (Presented at the Symposium on Geometry Processing)

@journal{rebain2019lsmat,
title={LSMAT: Least Squares Medial Axis Transform},
venue={Computer Graphics Forum (Presented at the Symposium on Geometry Processing)},
year={2019},
authors={Daniel Rebain and Baptiste Angles and Julien Valentin and Jiju Peethambaran and Shahram Izadi and Nicholas Vining and Andrea Tagliasacchi}
}

Incremental Labeling of Voronoi Vertices for Shape Reconstruction — CGF'19
Jiju Peethambaran, Amal Dev Parakkat, Andrea Tagliasacchi, Ruisheng Wang, Ramanathan Muthuganapathy
Computer Graphics Forum

@journal{peethambaran2019incremental,
title={Incremental Labeling of Voronoi Vertices for Shape Reconstruction},
venue={Computer Graphics Forum},
year={2019},
authors={Jiju Peethambaran and Amal Dev Parakkat and Andrea Tagliasacchi and Ruisheng Wang and Ramanathan Muthuganapathy}
}

Real-time Compression and Streaming of 4D Performances — SIGA'18
Danhang Tang, Mingsong Dou, Peter Lincoln, Philip Davidson, Kaiwen Guo, Jonathan Taylor, Sean Fanello, cem Keskin, Adarsh Kowdle, Sofien Bouaziz, Shahram Izadi, Andrea Tagliasacchi
ACM Transaction on Graphics (Proc. SIGGRAPH Asia)

@journal{tang2018compression,
title={Real-time Compression and Streaming of 4D Performances},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH Asia)},
year={2018},
authors={Danhang Tang and Mingsong Dou and Peter Lincoln and Philip Davidson and Kaiwen Guo and Jonathan Taylor and Sean Fanello and cem Keskin and Adarsh Kowdle and Sofien Bouaziz and Shahram Izadi and Andrea Tagliasacchi}
}

The Need 4 Speed in Real-Time Dense Visual Tracking — SIGA'18
Adarsh Kowdle, Christoph Rhemann, Sean Fanello, Andrea Tagliasacchi, Jonathan Taylor, Philip Davidson, Mingsong Dou, Kaiwen Guo, Cem Keskin, Sameh Khamis, David Kim, Danhang Tang, Vladimir Tankovich, Julien Valentin, Shahram Izadi
ACM Transaction on Graphics (Proc. SIGGRAPH Asia)

@journal{kowdle2018sensor,
title={The Need 4 Speed in Real-Time Dense Visual Tracking},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH Asia)},
year={2018},
authors={Adarsh Kowdle and Christoph Rhemann and Sean Fanello and Andrea Tagliasacchi and Jonathan Taylor and Philip Davidson and Mingsong Dou and Kaiwen Guo and Cem Keskin and Sameh Khamis and David Kim and Danhang Tang and Vladimir Tankovich and Julien Valentin and Shahram Izadi}
}

TwinFusion: High Framerate Non-Rigid Fusion through Fast Correspondence Tracking — 3DV'18
Kaiwen Guo, Jonathan Taylor, Sean Fanello, Andrea Tagliasacchi, Mingsong Dou, Philip Davidson, Adarsh Kowdle, Shahram Izadi
International Conference on 3D Vision (3DV)

@conference{guo2018twinfusion,
title={TwinFusion: High Framerate Non-Rigid Fusion through Fast Correspondence Tracking},
venue={International Conference on 3D Vision (3DV)},
year={2018},
authors={Kaiwen Guo and Jonathan Taylor and Sean Fanello and Andrea Tagliasacchi and Mingsong Dou and Philip Davidson and Adarsh Kowdle and Shahram Izadi}
}

Espresso: Efficient Forward Propagation for BCNNs — ICML'18
Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi
International Conference on Machine Learning (ICML)

@conference{pedersoli2018espresso,
title={Espresso: Efficient Forward Propagation for BCNNs},
venue={International Conference on Machine Learning (ICML)},
year={2018},
authors={Fabrizio Pedersoli and George Tzanetakis and Andrea Tagliasacchi}
}

Sketch-Based Implicit Blending — SIGA'17
Baptiste Angles, Marco Tarini, Loic Barthe, Brian Wyvill, Andrea Tagliasacchi
ACM Transaction on Graphics (Proc. SIGGRAPH Asia)

@journal{angles2017sketch,
title={Sketch-Based Implicit Blending},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH Asia)},
year={2017},
authors={Baptiste Angles and Marco Tarini and Loic Barthe and Brian Wyvill and Andrea Tagliasacchi}
}

Online Generative Model Personalization for Hand Tracking — SIGA'17
Anastasia Tkach, Andrea Tagliasacchi, Edoardo Remelli, Mark Pauly, Andrew Fitzgibbon
ACM Transaction on Graphics (Proc. SIGGRAPH Asia)

@journal{tkach2017online,
title={Online Generative Model Personalization for Hand Tracking},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH Asia)},
year={2017},
authors={Anastasia Tkach and Andrea Tagliasacchi and Edoardo Remelli and Mark Pauly and Andrew Fitzgibbon}
}

Low-Dimensionality Calibration through Local Anisotropic Scaling — ICCV'17
Edoardo Remelli, Anastasia Tkach, Andrea Tagliasacchi, Mark Pauly
International Conference on Computer Vision (ICCV)

@journal{remelli2017shapespace,
title={Low-Dimensionality Calibration through Local Anisotropic Scaling},
venue={International Conference on Computer Vision (ICCV)},
year={2017},
authors={Edoardo Remelli and Anastasia Tkach and Andrea Tagliasacchi and Mark Pauly}
}

Sphere-Meshes for Real-Time Hand Modeling and Tracking — SIGA'16
Anastasia Tkach, Mark Pauly, Andrea Tagliasacchi
ACM Transaction on Graphics (Proc. SIGGRAPH Asia)

@journal{tkach2016sphere,
title={Sphere-Meshes for Real-Time Hand Modeling and Tracking},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH Asia)},
year={2016},
authors={Anastasia Tkach and Mark Pauly and Andrea Tagliasacchi}
}

Modern Techniques and Applications for Real-Time Non-rigid Registration — SIGA'16
Andrea Tagliasacchi, Hao Li
Proc. SIGGRAPH Asia (Technical Course Notes)

@course{tagliasacchi2016registration,
title={Modern Techniques and Applications for Real-Time Non-rigid Registration},
venue={Proc. SIGGRAPH Asia (Technical Course Notes)},
year={2016},
authors={Andrea Tagliasacchi and Hao Li}
}

A Survey of Surface Reconstruction from Point Clouds — CGF'16
Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gael Guennebaud, Joshua A. Levine, Andrei Sharf, Claudio T. Silva
Computer Graphics Forum'16 (extended journal version of the EG STAR)

@journal{berger2016star,
title={A Survey of Surface Reconstruction from Point Clouds},
venue={Computer Graphics Forum'16 (extended journal version of the EG STAR)},
year={2016},
authors={Matthew Berger and Andrea Tagliasacchi and Lee M. Seversky and Pierre Alliez and Gael Guennebaud and Joshua A. Levine and Andrei Sharf and Claudio T. Silva}
}

3D Skeletons: A State-of-the-Art Report — EG'16
Andrea Tagliasacchi, Thomas Delame, Michela Spagnuolo, Nina Amenta, Alexandru Telea
Computer Graphics Forum (Proc. Eurographics)

@journal{tagliasacchi2016star,
title={3D Skeletons: A State-of-the-Art Report},
venue={Computer Graphics Forum (Proc. Eurographics)},
year={2016},
authors={Andrea Tagliasacchi and Thomas Delame and Michela Spagnuolo and Nina Amenta and Alexandru Telea}
}

Robust Articulated-ICP for Real-Time Hand Tracking — SGP'15 (best paper award)
Andrea Tagliasacchi, Matthias Schroeder, Anastasia Tkach, Sofien Bouaziz, Mario Botsch, Mark Pauly
Computer Graphics Forum (Proc. Symposium on Geometry Processing)

@journal{tagliasacchi2015htrack,
title={Robust Articulated-ICP for Real-Time Hand Tracking},
venue={Computer Graphics Forum (Proc. Symposium on Geometry Processing)},
year={2015},
notes={best paper award},
authors={Andrea Tagliasacchi and Matthias Schroeder and Anastasia Tkach and Sofien Bouaziz and Mario Botsch and Mark Pauly}
}

Dynamic 2D/3D Registration — EG'14
Sofien Bouaziz, Andrea Tagliasacchi, Mark Pauly (presenters)
Proc. Eurographics (Technical Course Notes)

@course{bouaziz2014registration,
title={Dynamic 2D/3D Registration},
venue={Proc. Eurographics (Technical Course Notes)},
year={2014},
authors={Sofien Bouaziz and Andrea Tagliasacchi and Mark Pauly (presenters)}
}

High-Contrast Computational Caustic Design — SIG'14
Yuliy Schwartzburg, Romain Testuz, Andrea Tagliasacchi, Mark Pauly
ACM Transaction on Graphics (Proc. SIGGRAPH)

@journal{schwartzburg2014caustics,
title={High-Contrast Computational Caustic Design},
venue={ACM Transaction on Graphics (Proc. SIGGRAPH)},
year={2014},
notes={Nature image of the month},
authors={Yuliy Schwartzburg and Romain Testuz and Andrea Tagliasacchi and Mark Pauly}
}

State of the Art in Surface Reconstruction from Point Clouds — EG'14
M. Berger, Andrea Tagliasacchi, L. Seversky, P. Alliez, J. Levine, A. Sharf, C. Silva
Eurographics STAR (Proc. of Eurographics)

@conference{berger2014star,
title={State of the Art in Surface Reconstruction from Point Clouds},
venue={Eurographics STAR (Proc. of Eurographics)},
year={2014},
authors={M. Berger and Andrea Tagliasacchi and L. Seversky and P. Alliez and J. Levine and A. Sharf and C. Silva}
}

Sparse Iterative Closest Point — SGP'13
Sofien Bouaziz, Andrea Tagliasacchi, Mark Pauly
Computer Graphics Forum (Proc. Symposium on Geometry Processing)

@journal{bouaziz2013sparseicp,
title={Sparse Iterative Closest Point},
venue={Computer Graphics Forum (Proc. Symposium on Geometry Processing)},
video_copy={https://youtu.be/VP4ORRSNCp4},
pages={113--123},
year={2013},
volume={32},
number={5},
authors={Sofien Bouaziz and Andrea Tagliasacchi and Mark Pauly}
}

Mean Curvature Skeletons — SGP'12 (also NSF best poster award)
Andrea Tagliasacchi, Ibraheem Alhashim, Matt Olson, Hao Zhang
Computer Graphics Forum (Proc. Symposium on Geometry Processing)

@journal{tagliasacchi2012mcfskel,
title={Mean Curvature Skeletons},
venue={Computer Graphics Forum (Proc. Symposium on Geometry Processing)},
volume={31},
number={5},
pages={1735--1744},
year={2012},
authors={Andrea Tagliasacchi and Ibraheem Alhashim and Matt Olson and Hao Zhang}
}

VASE: Volume-Aware Surface Evolution for Surface Reconstruction — SGP'11
Andrea Tagliasacchi, Matt Olson, Hao Zhang, Ghassan Hamarneh, Daniel Cohen-Or
Computer Graphics Forum (Proc. Symposium on Geometry Processing)

@journal{tagliasacchi2011vase,
title={VASE: Volume-Aware Surface Evolution for Surface Reconstruction},
venue={Computer Graphics Forum (Proc. Symposium on Geometry Processing)},
year={2011},
volume={30},
number={5},
pages={1563--1571},
Doi={http://dx.doi.org/10.1111/j.1467-8659.2011.02030.x},
authors={Andrea Tagliasacchi and Matt Olson and Hao Zhang and Ghassan Hamarneh and Daniel Cohen-Or}
}

Prior Knowledge for Shape Correspondence — EG'11
Oliver van Kaick, Andrea Tagliasacchi, Oana Sidi, Hao Zhang, Daniel Cohen-Or, Lior Wolf, Ghassan Hamarneh
Computer Graphics Forum (Proc. Eurographics)

@journal{vankaick2011prior,
title={Prior Knowledge for Shape Correspondence},
venue={Computer Graphics Forum (Proc. Eurographics)},
volume={30},
number={2},
pages={553--562},
year={2011},
authors={Oliver van Kaick and Andrea Tagliasacchi and Oana Sidi and Hao Zhang and Daniel Cohen-Or and Lior Wolf and Ghassan Hamarneh}
}

Point Cloud Skeletons via Laplacian-Based Contraction — SMI'10
Junjie Cao, Andrea Tagliasacchi, Matt Olson, Hao Zhang, Zhixun Su
Proc. of IEEE Conference on Shape Modeling and Applications (SMI)

@conference{cao2010cloudcontr,
title={Point Cloud Skeletons via Laplacian-Based Contraction},
venue={Proc. of IEEE Conference on Shape Modeling and Applications (SMI)},
pages={187--197},
year={2010},
authors={Junjie Cao and Andrea Tagliasacchi and Matt Olson and Hao Zhang and Zhixun Su}
}

Consensus Skeleton for Non-Rigid Space-Time Registration — EG'10
Qian Zheng, Andrei Sharf, Andrea Tagliasacchi, Baoquan Chen, Hao Zhang, Alla Sheffer, Daniel Cohen-Or
Computer Graphics Forum (Proc. Eurographics)

@journal{zheng2010consensus,
title={Consensus Skeleton for Non-Rigid Space-Time Registration},
venue={Computer Graphics Forum (Proc. Eurographics)},
volume={29},
number={2},
pages={635--644},
year={2010},
authors={Qian Zheng and Andrei Sharf and Andrea Tagliasacchi and Baoquan Chen and Hao Zhang and Alla Sheffer and Daniel Cohen-Or}
}

Partial Intrinsic Reflectional Symmetry of 3D Shapes — SIGA'09
Kai Xu, Hao Zhang, Andrea Tagliasacchi, Ligang Liu, Guo Li, Min Meng, Yueshan Xiong
ACM Transactions on Graphics (Proc. SIGGRAPH Asia)

@journal{xu2009pirs,
title={Partial Intrinsic Reflectional Symmetry of 3D Shapes},
venue={ACM Transactions on Graphics (Proc. SIGGRAPH Asia)},
volume={28},
number={5},
pages={Article 138},
year={2009},
authors={Kai Xu and Hao Zhang and Andrea Tagliasacchi and Ligang Liu and Guo Li and Min Meng and Yueshan Xiong}
}

Curve Skeleton Extraction from Incomplete Point Cloud — SIG'09 (MITACS best paper award)
Andrea Tagliasacchi, Hao Zhang, Daniel Cohen-Or
ACM Transactions on Graphics (Proc. SIGGRAPH)

@journal{tagliasacchi2009rosa,
title={Curve Skeleton Extraction from Incomplete Point Cloud},
venue={ACM Transactions on Graphics (Proc. SIGGRAPH)},
volume={28},
number={3},
pages={71:1--71:9},
year={2009},
notes={MITACS best paper award},
authors={Andrea Tagliasacchi and Hao Zhang and Daniel Cohen-Or}
}

Deformation-Drive Shape Correspondence — SGP'08
Hao Zhang, Alla Sheffer, Daniel Cohen-Or, Qingnan Zhou, Oliver van Kaick, Andrea Tagliasacchi
Computer Graphics Forum (Proc. Symposium on Geometry Processing)

@journal{zhang2008ddsc,
title={Deformation-Drive Shape Correspondence},
venue={Computer Graphics Forum (Proc. Symposium on Geometry Processing)},
year={2008},
volume={27},
number={5},
pages={1431-1439},
authors={Hao Zhang and Alla Sheffer and Daniel Cohen-Or and Qingnan Zhou and Oliver van Kaick and Andrea Tagliasacchi}
}