diff --git a/convert_to_bibtex.py b/convert_to_bibtex.py index 11e8889..c6e9565 100644 --- a/convert_to_bibtex.py +++ b/convert_to_bibtex.py @@ -1,19 +1,11 @@ # --- Converts the publications into a bibtex file for use in latex import json -# @article{flowcaps, -# title={Unsupervised part representation by Flow Capsules}, -# author={Sara Sabour and \textbf{Andrea Tagliasacchi} and Soroosh Yazdani and Geoffrey E. Hinton and David J. Fleet}, -# year={2021}, -# journal=ICML, -# note={\url{https://arxiv.org/abs/2011.13920}} -# } - _conference_template=""" -@conference{KEY, +@inproceedings{KEY, title={{TITLE}}, author={AUTHORS}, - howpublished={{CONFERENCE}}, + booktitle={{CONFERENCE}}, year={YEAR}, notes={NOTES}, }""" @@ -46,7 +38,7 @@ }""" _course_template=""" -@misc{KEY, +@course{KEY, title={{TITLE}}, author={AUTHORS}, howpublished={{HOWPUBLISHED}}, @@ -92,7 +84,7 @@ def techreport(pub): ret = ret.replace("NOTES", notes_to_string(pub['notes']) if "notes" in pub else "") return ret -def misc(pub): +def course(pub): ret = _course_template ret = ret.replace("KEY", pub['key']) ret = ret.replace("TITLE", pub['title']) @@ -106,12 +98,11 @@ def dispatcher(pub): if pub['type'] == 'conference': return conference(pub) if pub['type'] == 'journal': return journal(pub) if pub['type'] == 'techreport': return techreport(pub) - if pub['type'] == 'course': return techreport(pub) + if pub['type'] == 'course': return course(pub) raise ValueError(pub['type']) with open('pubs.json', 'r') as fp: data = json.load(fp) for pub in data: # if pub['key'] != "chen2020bspnet": continue #TODO - # if "notes" not in pub: continue print(dispatcher(pub)) diff --git a/pubs.json b/pubs.json index 9d06609..3a75d47 100644 --- a/pubs.json +++ b/pubs.json @@ -21,7 +21,7 @@ }, { "type": "conference", - "key": "zhong2023nkf", + "key": "hedlin2023unsupervised", "title": "Unsupervised Semantic Correspondence Using Stable Diffusion", "authors": [ "Eric Hedlin", @@ -73,6 +73,9 @@ "homepage": "https://robustnerf.github.io", "arxiv": "https://arxiv.org/abs/2302.00833", "special": "CVPR'23 (highlight)", + "notes":[ + "highlight" + ], "year": "2023" }, { @@ -565,7 +568,7 @@ "key": "deng2021vn", "title": "Vector Neurons: a general framework for SO(3)-equivariant networks", "year": "2021", - "venue": "arXiv preprint: 2104.12229", + "venue": "International Conference on Computer Vision (ICCV)", "icon": "/icons/deng2021vn.jpg", "source": "https://github.com/FlyingGiraffe/vnn", "homepage": "https://cs.stanford.edu/~congyue/vnn", diff --git a/resume.bib b/resume.bib new file mode 100644 index 0000000..a8d7e53 --- /dev/null +++ b/resume.bib @@ -0,0 +1,608 @@ + +@inproceedings{zhong2023nkf, + title={{Neural Fields with Hard Constraints of Arbitrary Differential Order}}, + author={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}, + booktitle={{Neural Information Processing Systems (NeurIPS)}}, + year={2023}, + notes={}, +} + +@inproceedings{hedlin2023unsupervised, + title={{Unsupervised Semantic Correspondence Using Stable Diffusion}}, + author={Eric Hedlin and Gopal Sharma and Shweta Mahajan and Hossam Isack and Abhishek Kar and Andrea Tagliasacchi and Kwang Moo Yi}, + booktitle={{Neural Information Processing Systems (NeurIPS)}}, + year={2023}, + notes={}, +} + +@inproceedings{bahmani2023cc3d, + title={{CC3D: Layout-Conditioned Generation of Compositional 3D Scenes}}, + author={Sherwin Bahmani and Jeong Joon Park and Despoina Paschalidou and Xingguang Yan and Gordon Wetzstein and Leonidas Guibas and Andrea Tagliasacchi}, + booktitle={{International Conference on Computer Vision (ICCV)}}, + year={2023}, + notes={}, +} + +@inproceedings{sabour2023robustnerf, + title={{RobustNeRF: Ignoring Distractors with Robust Losses}}, + author={Sara Sabour and Suhani Vora and Daniel Duckworth and Ivan Krasin and David J. Fleet and Andrea Tagliasacchi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2023}, + notes={(highlight)}, +} + +@inproceedings{chen2023mobilenerf, + title={{MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures}}, + author={Zhiqin Chen and Tom Funkhouser and Peter Hedman and Andrea Tagliasacchi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2023}, + notes={(oral, best student award finalist)}, +} + +@inproceedings{kania2023blendfields, + title={{BlendFields: Few-Shot Example-Driven Facial Modeling}}, + author={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}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2023}, + notes={}, +} + +@inproceedings{sinha2023sparsepose, + title={{SparsePose: Sparse-View Camera Pose Regression and Refinement}}, + author={Samarth Sinha and Jason Y. Zhang and Andrea Tagliasacchi and Igor Gilitschenski and David B. Lindell}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2023}, + notes={}, +} + +@inproceedings{peng2023openscene, + title={{OpenScene: 3D Scene Understanding with Open Vocabularies}}, + author={Songyou Peng and Kyle Genova and Chiyu Max Jiang and Andrea Tagliasacchi and Marc Pollefeys and Thomas Funkhouser}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2023}, + notes={}, +} + +@inproceedings{tang2023neumap, + title={{NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization}}, + author={Shitao Tang and Sicong Tang and Fuyang Zhang and Andrea Tagliasacchi and Ping Tan and Yasutaka Furukawa}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2023}, + notes={}, +} + +@inproceedings{vasconcelos2023cufs, + title={{CUF: Continuous Upsampling Filters}}, + author={Cristina Vasconcelos and Kevin Swersky and Mark Matthews and Milad Hashemi and Cengiz Oztireli and Andrea Tagliasacchi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2023}, + notes={}, +} + +@inproceedings{sun2023neuralbf, + title={{NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds}}, + author={Weiwei Sun and Daniel Rebain and Renjie Liao and Vladimir Tankovic and Soroosh Yazdani and Kwang Moo Yi and Andrea Tagliasacchi}, + booktitle={{Winter Applications of Computer Vision (WACV)}}, + year={2023}, + notes={}, +} + +@inproceedings{watson2023diffusion, + title={{Novel View Synthesis with Diffusion Models (3DiM)}}, + author={Daniel Watson and William Chen and Ricardo Martin Brualla and Andrea Tagliasacchi and Mohammad Norouzi}, + booktitle={{International Conference on Learning Representations (ICLR)}}, + year={2023}, + notes={}, +} + +@inproceedings{goli2023nerf2nerf, + title={{nerf2nerf: Pairwise Registration of Neural Radiance Fields}}, + author={Lily Goli and Daniel Rebain and Sara Sabour and Animesh Garg and Andrea Tagliasacchi}, + booktitle={{International Conference on Robotics and Automation (ICRA)}}, + year={2023}, + notes={}, +} + +@article{rebain2023abc, + title={{Attention Beats Concatenation for Conditioning Neural Fields}}, + author={Daniel Rebain and Mark J. Matthews and Kwang Moo Yi and Gopal Sharma and Dmitry Lagun and Andrea Tagliasacchi}, + journal={{Transactions on Machine Learning Research (TMLR)}}, + year={2023}, + notes={}, +} + +@techreport{tagliasacchi2022volume, + title={{Volume Rendering Digest (for NeRF)}}, + author={Andrea Tagliasacchi and Ben Mildenhall}, + institution={{INSTITUTION}}, + year={2022}, + notes={}, +} + +@inproceedings{wu2022ddnerf, + title={{D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video}}, + author={Tianhao Wu and Fangcheng Zhong and Forrester Cole and Andrea Tagliasacchi and Cengiz Oztireli}, + booktitle={{Neural Information Processing Systems (NeurIPS)}}, + year={2022}, + notes={}, +} + +@article{vora2022nesf, + title={{NeSF: Neural Semantic Fields}}, + author={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}, + journal={{Transactions on Machine Learning Research (TMLR)}}, + year={2021}, + notes={}, +} + +@article{chen2022ndc, + title={{Neural Dual Contouring}}, + author={Zhiqin Chen and Andrea Tagliasacchi and Thomas Funkhouser and Richard Zhang}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH)}}, + year={2022}, + notes={}, +} + +@inproceedings{rematas2022urf, + title={{Urban Radiance Fields}}, + author={Konstantinos Rematas and Andrew Liu and Pratul Srinivasan and Jonathan Barron and Andrea Tagliasacchi and Thomas Funkhouser and Vittorio Ferrari}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2021}, + notes={}, +} + +@inproceedings{kania2022conerf, + title={{CoNeRF: Controllable Neural Radiance Fields}}, + author={Kacper Kania and Kwang Moo Yi and Marek Kowalski and Tomasz Trzcinski and Andrea Tagliasacchi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2021}, + notes={}, +} + +@inproceedings{rebain2021lolnerf, + title={{LOLNeRF: Learn from One Look}}, + author={Daniel Rebain and Mark Matthews and Kwang Moo Yi and Dmitry Lagun and Andrea Tagliasacchi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2022}, + notes={}, +} + +@inproceedings{sajjadi2022srt, + title={{Scene Representation Transformer}}, + author={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}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2021}, + notes={}, +} + +@inproceedings{usman2022metapose, + title={{MetaPose: fast 3D pose from multiple views without 3D supervision}}, + author={Ben Usman and Andrea Tagliasacchi and Kate Saenko and Avneesh Sud}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2021}, + notes={}, +} + +@inproceedings{greff2022kubric, + title={{Kubric: A scalable dataset generator}}, + author={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}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2021}, + notes={}, +} + +@inproceedings{kundu2022panoptic, + title={{Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation}}, + author={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}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2022}, + notes={}, +} + +@inproceedings{simeonov2022ndf, + title={{Neural Descriptor Fields}}, + author={Anthony Simeonov and Yilun Du and Andrea Tagliasacchi and Joshua B. Tenenbaum and Alberto Rodriguez and Pulkit Agrawal and Vincent Sitzmann}, + booktitle={{International Conference on Robotics and Automation (ICRA)}}, + year={2022}, + notes={}, +} + +@inproceedings{sun2021caca, + title={{Canonical Capsules: Self-supervised Capsules in Canonical Pose}}, + author={Weiwei Sun and Andrea Tagliasacchi and Boyang Deng and Sara Sabour and Soroosh Yazdani and Geoffrey Hinton and Kwang Moo Yi}, + booktitle={{Neural Information Processing Systems (NeurIPS)}}, + year={2021}, + notes={}, +} + +@techreport{rebain2021deep, + title={{Deep Medial Fields}}, + author={Daniel Rebain and Ke Li and Vincent Sitzmann and Soroosh Yazdani and Kwang Moo Yi and Andrea Tagliasacchi}, + institution={{INSTITUTION}}, + year={2021}, + notes={}, +} + +@inproceedings{jiang2021cotr, + title={{COTR: Correspondence transformer for matching across images}}, + author={Wei Jiang and Eduard Trulls and Jan Hosang and Andrea Tagliasacchi and Kwang Moo Yi}, + booktitle={{International Conference on Computer Vision (ICCV)}}, + year={2021}, + notes={}, +} + +@inproceedings{deng2021vn, + title={{Vector Neurons: a general framework for SO(3)-equivariant networks}}, + author={Congyue Deng and Or Litany and Yueqi Duan and Adrien Poulenard and Andrea Tagliasacchi and Leonidas Guibas}, + booktitle={{International Conference on Computer Vision (ICCV)}}, + year={2021}, + notes={}, +} + +@inproceedings{sabour2021flowcaps, + title={{Unsupervised part representation by Flow Capsules}}, + author={Sara Sabour and Andrea Tagliasacchi and Soroosh Yazdani and Geoffrey E. Hinton and David J. Fleet}, + booktitle={{International Conference on Machine Learning (ICML)}}, + year={2021}, + notes={}, +} + +@inproceedings{rebain2021derf, + title={{DeRF: Decomposed Radiance Fields}}, + author={Daniel Rebain and Wei Jiang and Soroosh Yazdani and Ke Li and Kwang Moo Yi and Andrea Tagliasacchi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2021}, + notes={}, +} + +@inproceedings{angles2021mist, + title={{MIST: Multiple Instance Spatial Transformer Networks}}, + author={Baptiste Angles and Yuhe Jin and Simon Kornblith and Andrea Tagliasacchi and Kwang Moo Yi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2021}, + notes={}, +} + +@article{chen2021bspnet, + title={{Learning Mesh Representations via Binary Space Partitioning Tree Networks}}, + author={Zhiqin Chen and Andrea Tagliasacchi and Hao Zhang}, + journal={{Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}}, + year={2021}, + notes={}, +} + +@inproceedings{wang2020pienet, + title={{PIE-NET: Parametric Inference of Point Cloud Edges}}, + author={Xiaogang Wang and Yuelang Xu and Kai Xu and Andrea Tagliasacchi and Bin Zhou and Ali Mahdavi-Amiri and Hao Zhang}, + booktitle={{Neural Information Processing Systems (NeurIPS)}}, + year={2020}, + notes={}, +} + +@inproceedings{aksan2020cose, + title={{CoSE: Compositional Stroke Embeddings}}, + author={Emre Aksan and Thomas Deselaers and Andrea Tagliasacchi and Otmar Hilliges}, + booktitle={{Neural Information Processing Systems (NeurIPS)}}, + year={2020}, + notes={}, +} + +@inproceedings{jiang2020shapeflow, + title={{ShapeFlow: Learnable Deformations Among 3D Shapes}}, + author={Chiyu "Max" Jiang and Jingwei Huang and Andrea Tagliasacchi and Leonidas Guibas}, + booktitle={{Neural Information Processing Systems (NeurIPS)}}, + year={2020}, + notes={(spotlight)}, +} + +@inproceedings{deng2020nasa, + title={{NASA: Neural Articulated Shape Approximation}}, + author={Boyang Deng and JP Lewis and Timothy Jeruzalski and Gerard Pons-Moll and Geoffrey Hinton and Mohammad Norouzi and Andrea Tagliasacchi}, + booktitle={{European Conference on Computer Vision (ECCV)}}, + year={2020}, + notes={}, +} + +@techreport{jeruzalski2020nilbs, + title={{NiLBS: Neural Inverse Linear Blend Skinning}}, + author={Timothy Jeruzalski and David I. W. Levin and Alec Jacobson and Paul Lalonde and Mohammad Norouzi and Andrea Tagliasacchi}, + institution={{INSTITUTION}}, + year={2020}, + notes={}, +} + +@techreport{williams2020voronoinet, + title={{VoronoiNet: General Functional Approximators with Local Support}}, + author={Francis Williams and Daniele Panozzo and Kwang Moo Yi and Andrea Tagliasacchi}, + institution={{INSTITUTION}}, + year={2020}, + notes={}, +} + +@inproceedings{chen2020bspnet, + title={{BSP-Net: Generating Compact Meshes via Binary Space Partitioning}}, + author={Zhiqin Chen and Andrea Tagliasacchi and Hao Zhang}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2020}, + notes={(oral, best student paper award)}, +} + +@inproceedings{deng2020cvxnet, + title={{CvxNet: Learnable Convex Decomposition}}, + author={Boyang Deng and Kyle Genova and Soroosh Yazdani and Sofien Bouaziz and Geoffrey Hinton and Andrea Tagliasacchi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2020}, + notes={(best paper award finalist)}, +} + +@inproceedings{tang2020compression, + title={{Deep Implicit Volume Compression}}, + author={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}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2020}, + notes={}, +} + +@inproceedings{sun2020acne, + title={{Attentive Context Normalization for Robust Permutation-Equivariant Learning}}, + author={Weiwei Sun and Wei Jiang and Andrea Tagliasacchi and Eduard Trulls and Kwang Moo Yi}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2020}, + notes={}, +} + +@article{meka2019drf, + title={{Deep reflectance fields}}, + author={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}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH)}}, + year={2019}, + notes={}, +} + +@inproceedings{jiang2019linearized, + title={{Linearized Multi-Sampling for Differentiable Image Transformation}}, + author={Wei Jiang and Weiwei Sun and Andrea Tagliasacchi and Eduard Trulls and Kwang Moo Yi}, + booktitle={{International Conference on Computer Vision (ICCV)}}, + year={2019}, + notes={}, +} + +@article{dong2019multirobot, + title={{Multi-Robot Collaborative Dense Scene Reconstruction}}, + author={Siyan Dong and Kai Xu and Qiang Zhou and Andrea Tagliasacchi and Shiqing Xin and Matthias Nießner and Baoquan Chen}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH Asia)}}, + year={2019}, + notes={}, +} + +@article{angles2019viper, + title={{VIPER: Volume Invariant Position-based Elastic Rods}}, + author={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}, + journal={{Proceedings of the ACM (Proc. Symposium on Computer Animation)}}, + year={2019}, + notes={}, +} + +@inproceedings{pandey2019semiparametric, + title={{Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning}}, + author={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}, + booktitle={{Computer Vision and Pattern Recognition (CVPR)}}, + year={2019}, + notes={}, +} + +@inproceedings{bojja2019handseg, + title={{HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images}}, + author={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}, + booktitle={{Computer and Robot Vision (CRV)}}, + year={2019}, + notes={}, +} + +@article{rebain2019lsmat, + title={{LSMAT: Least Squares Medial Axis Transform}}, + author={Daniel Rebain and Baptiste Angles and Julien Valentin and Jiju Peethambaran and Shahram Izadi and Nicholas Vining and Andrea Tagliasacchi}, + journal={{Computer Graphics Forum (Presented at the Symposium on Geometry Processing)}}, + year={2019}, + notes={}, +} + +@article{peethambaran2019incremental, + title={{Incremental Labeling of Voronoi Vertices for Shape Reconstruction}}, + author={Jiju Peethambaran and Amal Dev Parakkat and Andrea Tagliasacchi and Ruisheng Wang and Ramanathan Muthuganapathy}, + journal={{Computer Graphics Forum}}, + year={2019}, + notes={}, +} + +@article{tang2018compression, + title={{Real-time Compression and Streaming of 4D Performances}}, + author={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}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH Asia)}}, + year={2018}, + notes={}, +} + +@article{kowdle2018sensor, + title={{The Need 4 Speed in Real-Time Dense Visual Tracking}}, + author={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}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH Asia)}}, + year={2018}, + notes={}, +} + +@inproceedings{guo2018twinfusion, + title={{TwinFusion: High Framerate Non-Rigid Fusion through Fast Correspondence Tracking}}, + author={Kaiwen Guo and Jonathan Taylor and Sean Fanello and Andrea Tagliasacchi and Mingsong Dou and Philip Davidson and Adarsh Kowdle and Shahram Izadi}, + booktitle={{International Conference on 3D Vision (3DV)}}, + year={2018}, + notes={}, +} + +@inproceedings{pedersoli2018espresso, + title={{Espresso: Efficient Forward Propagation for BCNNs}}, + author={Fabrizio Pedersoli and George Tzanetakis and Andrea Tagliasacchi}, + booktitle={{International Conference on Machine Learning (ICML)}}, + year={2018}, + notes={}, +} + +@article{angles2017sketch, + title={{Sketch-Based Implicit Blending}}, + author={Baptiste Angles and Marco Tarini and Loic Barthe and Brian Wyvill and Andrea Tagliasacchi}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH Asia)}}, + year={2017}, + notes={}, +} + +@article{tkach2017online, + title={{Online Generative Model Personalization for Hand Tracking}}, + author={Anastasia Tkach and Andrea Tagliasacchi and Edoardo Remelli and Mark Pauly and Andrew Fitzgibbon}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH Asia)}}, + year={2017}, + notes={}, +} + +@article{remelli2017shapespace, + title={{Low-Dimensionality Calibration through Local Anisotropic Scaling}}, + author={Edoardo Remelli and Anastasia Tkach and Andrea Tagliasacchi and Mark Pauly}, + journal={{International Conference on Computer Vision (ICCV)}}, + year={2017}, + notes={}, +} + +@article{tkach2016sphere, + title={{Sphere-Meshes for Real-Time Hand Modeling and Tracking}}, + author={Anastasia Tkach and Mark Pauly and Andrea Tagliasacchi}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH Asia)}}, + year={2016}, + notes={}, +} + +@course{tagliasacchi2016registration, + title={{Modern Techniques and Applications for Real-Time Non-rigid Registration}}, + author={Andrea Tagliasacchi and Hao Li}, + howpublished={{Proc. SIGGRAPH Asia (Technical Course Notes)}}, + year={2016}, + notes={}, +} + +@article{berger2016star, + title={{A Survey of Surface Reconstruction from Point Clouds}}, + author={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}, + journal={{Computer Graphics Forum'16 (extended journal version of the EG STAR)}}, + year={2016}, + notes={}, +} + +@article{tagliasacchi2016star, + title={{3D Skeletons: A State-of-the-Art Report}}, + author={Andrea Tagliasacchi and Thomas Delame and Michela Spagnuolo and Nina Amenta and Alexandru Telea}, + journal={{Computer Graphics Forum (Proc. Eurographics)}}, + year={2016}, + notes={}, +} + +@article{tagliasacchi2015htrack, + title={{Robust Articulated-ICP for Real-Time Hand Tracking}}, + author={Andrea Tagliasacchi and Matthias Schroeder and Anastasia Tkach and Sofien Bouaziz and Mario Botsch and Mark Pauly}, + journal={{Computer Graphics Forum (Proc. Symposium on Geometry Processing)}}, + year={2015}, + notes={}, +} + +@course{bouaziz2014registration, + title={{Dynamic 2D/3D Registration}}, + author={Sofien Bouaziz and Andrea Tagliasacchi and Mark Pauly (presenters)}, + howpublished={{Proc. Eurographics (Technical Course Notes)}}, + year={2014}, + notes={}, +} + +@article{schwartzburg2014caustics, + title={{High-Contrast Computational Caustic Design}}, + author={Yuliy Schwartzburg and Romain Testuz and Andrea Tagliasacchi and Mark Pauly}, + journal={{ACM Transaction on Graphics (Proc. SIGGRAPH)}}, + year={2014}, + notes={(Nature image of the month)}, +} + +@inproceedings{berger2014star, + title={{State of the Art in Surface Reconstruction from Point Clouds}}, + author={M. Berger and Andrea Tagliasacchi and L. Seversky and P. Alliez and J. Levine and A. Sharf and C. Silva}, + booktitle={{Eurographics STAR (Proc. of Eurographics)}}, + year={2014}, + notes={}, +} + +@article{bouaziz2013sparseicp, + title={{Sparse Iterative Closest Point}}, + author={Sofien Bouaziz and Andrea Tagliasacchi and Mark Pauly}, + journal={{Computer Graphics Forum (Proc. Symposium on Geometry Processing)}}, + year={2013}, + notes={}, +} + +@article{tagliasacchi2012mcfskel, + title={{Mean Curvature Skeletons}}, + author={Andrea Tagliasacchi and Ibraheem Alhashim and Matt Olson and Hao Zhang}, + journal={{Computer Graphics Forum (Proc. Symposium on Geometry Processing)}}, + year={2012}, + notes={}, +} + +@article{tagliasacchi2011vase, + title={{VASE: Volume-Aware Surface Evolution for Surface Reconstruction}}, + author={Andrea Tagliasacchi and Matt Olson and Hao Zhang and Ghassan Hamarneh and Daniel Cohen-Or}, + journal={{Computer Graphics Forum (Proc. Symposium on Geometry Processing)}}, + year={2011}, + notes={}, +} + +@article{vankaick2011prior, + title={{Prior Knowledge for Shape Correspondence}}, + author={Oliver van Kaick and Andrea Tagliasacchi and Oana Sidi and Hao Zhang and Daniel Cohen-Or and Lior Wolf and Ghassan Hamarneh}, + journal={{Computer Graphics Forum (Proc. Eurographics)}}, + year={2011}, + notes={}, +} + +@inproceedings{cao2010cloudcontr, + title={{Point Cloud Skeletons via Laplacian-Based Contraction}}, + author={Junjie Cao and Andrea Tagliasacchi and Matt Olson and Hao Zhang and Zhixun Su}, + booktitle={{Proc. of IEEE Conference on Shape Modeling and Applications (SMI)}}, + year={2010}, + notes={}, +} + +@article{zheng2010consensus, + title={{Consensus Skeleton for Non-Rigid Space-Time Registration}}, + author={Qian Zheng and Andrei Sharf and Andrea Tagliasacchi and Baoquan Chen and Hao Zhang and Alla Sheffer and Daniel Cohen-Or}, + journal={{Computer Graphics Forum (Proc. Eurographics)}}, + year={2010}, + notes={}, +} + +@article{xu2009pirs, + title={{Partial Intrinsic Reflectional Symmetry of 3D Shapes}}, + author={Kai Xu and Hao Zhang and Andrea Tagliasacchi and Ligang Liu and Guo Li and Min Meng and Yueshan Xiong}, + journal={{ACM Transactions on Graphics (Proc. SIGGRAPH Asia)}}, + year={2009}, + notes={}, +} + +@article{tagliasacchi2009rosa, + title={{Curve Skeleton Extraction from Incomplete Point Cloud}}, + author={Andrea Tagliasacchi and Hao Zhang and Daniel Cohen-Or}, + journal={{ACM Transactions on Graphics (Proc. SIGGRAPH)}}, + year={2009}, + notes={(MITACS best paper award)}, +} + +@article{zhang2008ddsc, + title={{Deformation-Drive Shape Correspondence}}, + author={Hao Zhang and Alla Sheffer and Daniel Cohen-Or and Qingnan Zhou and Oliver van Kaick and Andrea Tagliasacchi}, + journal={{Computer Graphics Forum (Proc. Symposium on Geometry Processing)}}, + year={2008}, + notes={}, +}