Andrea Tagliasacchi

186 papers A* 50A 1B 1Journal 118Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	360Anything: Geometry-Free Lifting of Images and Videos to 360°. CoRR Ziyi Wu, Daniel Watson, Andrea Tagliasacchi, David J. Fleet, Marcus A. Brubaker, Saurabh Saxena
2026	J	`jnl`	FullCircle: Effortless 3D Reconstruction from Casual 360 CoRR Yalda Foroutan, Ipek Oztas, Daniel Rebain, Aysegul Dundar, Kwang Moo Yi, Lily Goli, Andrea Tagliasacchi
2026	J	`jnl`	Grow with the Flow: 4D Reconstruction of Growing Plants with Gaussian Flow Fields. CoRR Weihan Luo, Lily Goli, Sherwin Bahmani, Felix Taubner, Andrea Tagliasacchi, David B. Lindell
2026	J	`jnl`	Untwisting RoPE: Frequency Control for Shared Attention in DiTs. CoRR Aryan Mikaeili, Or Patashnik, Andrea Tagliasacchi, Daniel Cohen-Or, Ali Mahdavi-Amiri
2025	J	`jnl`	3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction. CoRR Maria Taktasheva, Lily Goli, Alessandro Fiorini, Zhen Li, Daniel Rebain, Andrea Tagliasacchi
2025	A*	`conf`	AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers. CVPR Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov
2025	A*	`conf`	Controlling Space and Time with Diffusion Models. ICLR Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet
2025	—	`conf`	Cora: Correspondence-aware image editing using few step diffusion. SIGGRAPH (Conference Paper Track) Amirhossein Alimohammadi, Aryan Mikaeili, Sauradip Nag, Negar Hassanpour, Andrea Tagliasacchi, Ali Mahdavi-Amiri
2025	J	`jnl`	Cora: Correspondence-aware image editing using few step diffusion. CoRR Amirhossein Almohammadi, Aryan Mikaeili, Sauradip Nag, Negar Hassanpour, Andrea Tagliasacchi, Ali Mahdavi-Amiri
2025	J	`jnl`	Griffin: Generative Reference and Layout Guided Image Composition. CoRR Aryan Mikaeili, Amirhossein Alimohammadi, Negar Hassanpour, Ali Mahdavi-Amiri, Andrea Tagliasacchi
2025	J	`jnl`	Hierarchical Transformers for Unsupervised 3D Shape Abstraction. CoRR Aditya Vora, Lily Goli, Andrea Tagliasacchi, Hao Zhang
2025	J	`jnl`	Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation. CoRR Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David B. Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, Xuanchi Ren
2025	J	`jnl`	MeshSplatting: Differentiable Rendering with Opaque Meshes. CoRR Jan Held, Sanghyun Son, Renaud Vandeghen, Daniel Rebain, Matheus Gadelha, Yi Zhou, Anthony Cioppa, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi
2025	J	`jnl`	Nexels: Neurally-Textured Surfels for Real-Time Novel View Synthesis with Sparse Geometries. CoRR Victor Rong, Jan Held, Victor Chu, Daniel Rebain, Marc Van Droogenbroeck, Kiriakos N. Kutulakos, Andrea Tagliasacchi, David B. Lindell
2025	—	`conf`	NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization. 3DV Zhen (Colin) Li, Weiwei Sun, Shrisudhan Govindarajan, Shaobo Xia, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2025	J	`jnl`	NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization. CoRR Zhen Li, Weiwei Sun, Shrisudhan Govindarajan, Shaobo Xia, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2025	A*	`conf`	PIAD: Pose and Illumination agnostic Anomaly Detection. CVPR Kaichen Yang, Junjie Cao, Zeyu Bai, Zhixun Su, Andrea Tagliasacchi
2025	J	`jnl`	Radiant Foam: Real-Time Differentiable Ray Tracing. CoRR Shrisudhan Govindarajan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2025	A*	`conf`	SMITE: Segment Me In TimE. ICLR Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari Taghanaki, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi-Amiri
2025	J	`jnl`	Spherical Voronoi: Directional Appearance as a Differentiable Partition of the Sphere. CoRR Francesco Di Sario, Daniel Rebain, Dor Verbin, Marco Grangetto, Andrea Tagliasacchi
2025	J	`jnl`	SpotLessSplats: Ignoring Distractors in 3D Gaussian Splatting. ACM Trans. Graph. Sara Sabour, Lily Goli, George Kopanas, Mark J. Matthews, Dmitry Lagun, Leonidas J. Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi
2025	J	`jnl`	StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting. CoRR Shakiba Kheradmand, Delio Vicini, George Kopanas, Dmitry Lagun, Kwang Moo Yi, Mark J. Matthews, Andrea Tagliasacchi
2025	J	`jnl`	Triangle Splatting for Real-Time Radiance Field Rendering. CoRR Jan Held, Renaud Vandeghen, Adrien Deliège, Abdullah Hamdi, Silvio Giancola, Anthony Cioppa, Andrea Vedaldi, Bernard Ghanem, Andrea Tagliasacchi, Marc Van Droogenbroeck
2025	J	`jnl`	Triangle Splatting+: Differentiable Rendering with Opaque Triangles. CoRR Jan Held, Renaud Vandeghen, Sanghyun Son, Daniel Rebain, Matheus Gadelha, Yi Zhou, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi
2025	A*	`conf`	VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control. ICLR 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
2024	A*	`conf`	3D Gaussian Splatting as Markov Chain Monte Carlo. NeurIPS Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Yang-Che Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2024	J	`jnl`	3D Gaussian Splatting as Markov Chain Monte Carlo. CoRR Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2024	A*	`conf`	4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling. CVPR Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell
2024	J	`jnl`	AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers. CoRR Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov
2024	A*	`conf`	Accelerating Neural Field Training via Soft Mining. CVPR Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2024	A*	`conf`	BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction. CVPR Akhmedkhan Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2024	J	`jnl`	BANF: Band-limited Neural Fields for Levels of Detail Reconstruction. CoRR Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2024	A*	`conf`	Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields. CVPR Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi
2024	J	`jnl`	Controlling Space and Time with Diffusion Models. CoRR Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet
2024	J	`jnl`	Does Gaussian Splatting need SFM Initialization? CoRR Yalda Foroutan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2024	—	`conf`	Lagrangian Hashing for Compressed Neural Field Representations. ECCV (27) Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi
2024	J	`jnl`	Lagrangian Hashing for Compressed Neural Field Representations. CoRR Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Ahan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi
2024	A*	`conf`	Neural Fields as Distributions: Signal Processing Beyond Euclidean Space. CVPR Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2024	A*	`conf`	PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction. CVPR David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, Vincent Sitzmann
2024	—	`conf`	PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field. ECCV (38) Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi
2024	J	`jnl`	RoMo: Robust Motion Segmentation Improves Structure from Motion. CoRR Lily Goli, Sara Sabour, Mark J. Matthews, Marcus A. Brubaker, Dmitry Lagun, Alec Jacobson, David J. Fleet, Saurabh Saxena, Andrea Tagliasacchi
2024	J	`jnl`	SMITE: Segment Me In TimE. CoRR Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari Taghanaki, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi-Amiri
2024	J	`jnl`	SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting. CoRR Sara Sabour, Lily Goli, George Kopanas, Mark J. Matthews, Dmitry Lagun, Leonidas J. Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi
2024	—	`conf`	TC4D: Trajectory-Conditioned Text-to-4D Generation. ECCV (46) Sherwin Bahmani, Xian Liu, Wang Yifan, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B. Lindell
2024	J	`jnl`	TC4D: Trajectory-Conditioned Text-to-4D Generation. CoRR 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
2024	A*	`conf`	Unsupervised Keypoints from Pretrained Diffusion Models. CVPR Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
2024	J	`jnl`	VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control. CoRR 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
2024	—	`conf`	Volumetric Rendering with Baked Quadrature Fields. ECCV (63) Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2023	J	`jnl`	4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling. CoRR Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell
2023	J	`jnl`	Accelerating Neural Field Training via Soft Mining. CoRR Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2023	J	`jnl`	Attention Beats Concatenation for Conditioning Neural Fields. Trans. Mach. Learn. Res. Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi
2023	J	`jnl`	Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields. CoRR Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi
2023	A*	`conf`	BlendFields: Few-Shot Example-Driven Facial Modeling. CVPR Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
2023	J	`jnl`	BlendFields: Few-Shot Example-Driven Facial Modeling. CoRR Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
2023	A*	`conf`	CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. ICCV Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi
2023	J	`jnl`	CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. CoRR Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi
2023	A*	`conf`	CUF: Continuous Upsampling Filters. CVPR Cristina Nader Vasconcelos, A. Cengiz Öztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi
2023	J	`jnl`	Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation. CoRR Shaobo Xia, Jun Yue, Kacper Kania, Leyuan Fang, Andrea Tagliasacchi, Kwang Moo Yi, Weiwei Sun
2023	J	`jnl`	Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE Trans. Pattern Anal. Mach. Intell. Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
2023	A*	`conf`	MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. CVPR Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, Andrea Tagliasacchi
2023	A*	`conf`	NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization. CVPR Shitao Tang, Sicong Tang, Andrea Tagliasacchi, Ping Tan, Yasutaka Furukawa
2023	A*	`conf`	Neural Fields with Hard Constraints of Arbitrary Differential Order. NeurIPS Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli
2023	J	`jnl`	Neural Fields with Hard Constraints of Arbitrary Differential Order. CoRR Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli
2023	A	`conf`	NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. WACV Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2023	A*	`conf`	Novel View Synthesis with Diffusion Models. ICLR Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
2023	A*	`conf`	OpenScene: 3D Scene Understanding with Open Vocabularies. CVPR Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser
2023	J	`jnl`	PointNeRF++: A multi-scale, point-based Neural Radiance Field. CoRR Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi
2023	A*	`conf`	RobustNeRF: Ignoring Distractors with Robust Losses. CVPR Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi
2023	J	`jnl`	RobustNeRF: Ignoring Distractors with Robust Losses. CoRR Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi
2023	A*	`conf`	SparsePose: Sparse-View Camera Pose Regression and Refinement. CVPR Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
2023	J	`jnl`	Unsupervised Keypoints from Pretrained Diffusion Models. CoRR Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
2023	A*	`conf`	Unsupervised Semantic Correspondence Using Stable Diffusion. NeurIPS Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2023	J	`jnl`	Unsupervised Semantic Correspondence Using Stable Diffusion. CoRR Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2023	J	`jnl`	Volumetric Rendering with Baked Quadrature Fields. CoRR Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2023	A*	`conf`	nerf2nerf: Pairwise Registration of Neural Radiance Fields. ICRA Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi
2023	J	`jnl`	pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction. CoRR David Charatan, Sizhe Li, Andrea Tagliasacchi, Vincent Sitzmann
2022	J	`jnl`	Attention Beats Concatenation for Conditioning Neural Fields. CoRR Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi
2022	J	`jnl`	CUF: Continuous Upsampling Filters. CoRR Cristina Nader Vasconcelos, Cengiz Öztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi
2022	A*	`conf`	CoNeRF: Controllable Neural Radiance Fields. CVPR Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
2022	J	`jnl`	D CoRR Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli
2022	A*	`conf`	D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. NeurIPS Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli
2022	A*	`conf`	Kubric: A scalable dataset generator. CVPR 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 H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, 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
2022	J	`jnl`	Kubric: A scalable dataset generator. CoRR 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 H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, 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
2022	A*	`conf`	LOLNeRF: Learn from One Look. CVPR Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi
2022	A*	`conf`	MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CVPR Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
2022	J	`jnl`	MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. CoRR Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, Andrea Tagliasacchi
2022	J	`jnl`	NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. Trans. Mach. Learn. Res. Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
2022	J	`jnl`	NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization. CoRR Shitao Tang, Sicong Tang, Andrea Tagliasacchi, Ping Tan, Yasutaka Furukawa
2022	A*	`conf`	Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. ICRA Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann
2022	J	`jnl`	Neural Dual Contouring. CoRR Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang
2022	J	`jnl`	Neural dual contouring. ACM Trans. Graph. Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang
2022	J	`jnl`	NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. CoRR Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2022	J	`jnl`	Novel View Synthesis with Diffusion Models. CoRR Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
2022	J	`jnl`	OpenScene: 3D Scene Understanding with Open Vocabularies. CoRR Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser
2022	A*	`conf`	Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CVPR Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser
2022	J	`jnl`	Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CoRR Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser
2022	A*	`conf`	Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR 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 A. Funkhouser, Andrea Tagliasacchi
2022	J	`jnl`	SparsePose: Sparse-View Camera Pose Regression and Refinement. CoRR Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
2022	A*	`conf`	Urban Radiance Fields. CVPR Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari
2022	J	`jnl`	Volume Rendering Digest (for NeRF). CoRR Andrea Tagliasacchi, Ben Mildenhall
2022	J	`jnl`	nerf2nerf: Pairwise Registration of Neural Radiance Fields. CoRR Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi
2021	A*	`conf`	COTR: Correspondence Transformer for Matching Across Images. ICCV Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
2021	J	`jnl`	COTR: Correspondence Transformer for Matching Across Images. CoRR Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
2021	A*	`conf`	Canonical Capsules: Self-Supervised Capsules in Canonical Pose. NeurIPS Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi
2021	J	`jnl`	CoNeRF: Controllable Neural Radiance Fields. CoRR Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
2021	A*	`conf`	DeRF: Decomposed Radiance Fields. CVPR Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
2021	J	`jnl`	Deep Medial Fields. CoRR Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2021	J	`jnl`	LOLNeRF: Learn from One Look. CoRR Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi
2021	J	`jnl`	Learning Mesh Representations via Binary Space Partitioning Tree Networks. CoRR Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
2021	A*	`conf`	MIST: Multiple Instance Spatial Transformer. CVPR Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi
2021	J	`jnl`	MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CoRR Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
2021	J	`jnl`	NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. CoRR Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
2021	J	`jnl`	Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. CoRR Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann
2021	J	`jnl`	Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CoRR 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 A. Funkhouser, Andrea Tagliasacchi
2021	A*	`conf`	Unsupervised Part Representation by Flow Capsules. ICML Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
2021	J	`jnl`	Urban Radiance Fields. CoRR Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari
2021	J	`jnl`	VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field. CoRR Naruya Kondo, Yuya Ikeda, Andrea Tagliasacchi, Yutaka Matsuo, Yoichi Ochiai, Shixiang Shane Gu
2021	A*	`conf`	Vector Neurons: A General Framework for SO(3)-Equivariant Networks. ICCV Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
2021	J	`jnl`	Vector Neurons: A General Framework for SO(3)-Equivariant Networks. CoRR Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
2020	A*	`conf`	ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. CVPR Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
2020	A*	`conf`	BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CVPR Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
2020	J	`jnl`	Canonical Capsules: Unsupervised Capsules in Canonical Pose. CoRR Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi
2020	A*	`conf`	CoSE: Compositional Stroke Embeddings. NeurIPS Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges
2020	J	`jnl`	CoSE: Compositional Stroke Embeddings. CoRR Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges
2020	A*	`conf`	CvxNet: Learnable Convex Decomposition. CVPR Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi
2020	J	`jnl`	DeRF: Decomposed Radiance Fields. CoRR Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
2020	A*	`conf`	Deep Implicit Volume Compression. CVPR Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin
2020	J	`jnl`	Deep Implicit Volume Compression. CoRR Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin
2020	J	`jnl`	Foreword to the Special Section on Graphics Interface. Comput. Graph. Andrea Tagliasacchi, Paul G. Kry
2020	J	`jnl`	Human 3D keypoints via spatial uncertainty modeling. CoRR Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi
2020	J	`jnl`	LSMAT Least Squares Medial Axis Transform. CoRR Daniel Rebain, Baptiste Angles, Julien P. C. Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi, Andrea Tagliasacchi
2020	—	`conf`	NASA Neural Articulated Shape Approximation. ECCV (7) Boyang Deng, John P. Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey E. Hinton, Mohammad Norouzi, Andrea Tagliasacchi
2020	J	`jnl`	NiLBS: Neural Inverse Linear Blend Skinning. CoRR Timothy Jeruzalski, David I. W. Levin, Alec Jacobson, Paul Lalonde, Mohammad Norouzi, Andrea Tagliasacchi
2020	A*	`conf`	PIE-NET: Parametric Inference of Point Cloud Edges. NeurIPS Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang
2020	J	`jnl`	PIE-NET: Parametric Inference of Point Cloud Edges. CoRR Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang
2020	A*	`conf`	ShapeFlow: Learnable Deformation Flows Among 3D Shapes. NeurIPS Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas
2020	J	`jnl`	ShapeFlow: Learnable Deformations Among 3D Shapes. CoRR Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas
2020	J	`jnl`	Unsupervised part representation by Flow Capsules. CoRR Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
2020	J	`jnl`	Voronoi Convolutional Neural Networks. CoRR Soroosh Yazdani, Andrea Tagliasacchi
2020	—	`conf`	VoronoiNet : General Functional Approximators with Local Support. CVPR Workshops Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
2019	J	`jnl`	Attentive Context Normalization for Robust Permutation-Equivariant Learning. CoRR Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
2019	J	`jnl`	BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CoRR Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
2019	J	`jnl`	CvxNets: Learnable Convex Decomposition. CoRR Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi
2019	J	`jnl`	Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination. ACM Trans. Graph. Abhimitra Meka, Christian Häne, Rohit Pandey, Michael Zollhöfer, Sean Ryan Fanello, Graham Fyffe, Adarsh Kowdle, Xueming Yu, Jay Busch, Jason Dourgarian, Peter Denny, Sofien Bouaziz, Peter Lincoln, Matt Whalen, Geoff Harvey, Jonathan Taylor, Shahram Izadi, Andrea Tagliasacchi, Paul E. Debevec, Christian Theobalt, Julien P. C. Valentin, Christoph Rhemann
2019	—	`conf`	HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images. CRV Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, Andrea Tagliasacchi
2019	J	`jnl`	Incremental Labelling of Voronoi Vertices for Shape Reconstruction. Comput. Graph. Forum Jiju Peethambaran, Amal Dev Parakkat, Andrea Tagliasacchi, Ruisheng Wang, Ramanathan Muthuganapathy
2019	J	`jnl`	LSMAT Least Squares Medial Axis Transform. Comput. Graph. Forum Daniel Rebain, Baptiste Angles, Julien P. C. Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi, Andrea Tagliasacchi
2019	A*	`conf`	Linearized Multi-Sampling for Differentiable Image Transformation. ICCV Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
2019	J	`jnl`	Linearized Multi-Sampling for Differentiable Image Transformation. CoRR Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
2019	J	`jnl`	Multi-robot collaborative dense scene reconstruction. ACM Trans. Graph. Siyan Dong, Kai Xu, Qiang Zhou, Andrea Tagliasacchi, Shiqing Xin, Matthias Nießner, Baoquan Chen
2019	J	`jnl`	NASA: Neural Articulated Shape Approximation. CoRR Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, John P. Lewis, Geoffrey E. Hinton, Andrea Tagliasacchi
2019	B	`ed.`	Proceedings of the 45th Graphics Interface Conference 2019, Kingston, Ontario, Canada, May 28-31, 2019 Graphics Interface Andrea Tagliasacchi, Robert J. Teather
2019	J	`jnl`	VIPER: Volume Invariant Position-based Elastic Rods. CoRR Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John P. Lewis, Javier von der Pahlen, Shahram Izadi, Julien P. C. Valentin, Sofien Bouaziz, Andrea Tagliasacchi
2019	J	`jnl`	VIPER: Volume Invariant Position-based Elastic Rods. Proc. ACM Comput. Graph. Interact. Tech. Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John P. Lewis, Javier von der Pahlen, Shahram Izadi, Julien P. C. Valentin, Sofien Bouaziz, Andrea Tagliasacchi
2019	A*	`conf`	Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning. CVPR Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello
2019	J	`jnl`	Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning. CoRR Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello
2019	J	`jnl`	VoronoiNet: General Functional Approximators with Local Support. CoRR Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
2018	—	`conf`	Espresso: Efficient Forward Propagation for Binary Deep Neural Networks. ICLR (Poster) Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi
2018	J	`jnl`	MIST: Multiple Instance Spatial Transformer Network. CoRR Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi
2018	J	`jnl`	Real-time compression and streaming of 4D performances. ACM Trans. Graph. Danhang Tang, Mingsong Dou, Peter Lincoln, Philip Davidson, Kaiwen Guo, Jonathan Taylor, Sean Ryan Fanello, Cem Keskin, Adarsh Kowdle, Sofien Bouaziz, Shahram Izadi, Andrea Tagliasacchi
2018	J	`jnl`	The need 4 speed in real-time dense visual tracking. ACM Trans. Graph. Adarsh Kowdle, Christoph Rhemann, Sean Ryan Fanello, Andrea Tagliasacchi, Jonathan Taylor, Philip Davidson, Mingsong Dou, Kaiwen Guo, Cem Keskin, Sameh Khamis, David Kim, Danhang Tang, Vladimir Tankovich, Julien P. C. Valentin, Shahram Izadi
2018	—	`conf`	TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking. 3DV Kaiwen Guo, Jonathan Taylor, Sean Ryan Fanello, Andrea Tagliasacchi, Mingsong Dou, Philip Davidson, Adarsh Kowdle, Shahram Izadi
2017	J	`jnl`	A Survey of Surface Reconstruction from Point Clouds. Comput. Graph. Forum Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gaël Guennebaud, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva
2017	J	`jnl`	Espresso: Efficient Forward Propagation for BCNNs. CoRR Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi
2017	J	`jnl`	HandSeg: A Dataset for Hand Segmentation from Depth Images. CoRR Sri Raghu Malireddi, Franziska Mueller, Markus Oberweger, Abhishake Kumar Bojja, Vincent Lepetit, Christian Theobalt, Andrea Tagliasacchi
2017	A*	`conf`	Low-Dimensionality Calibration through Local Anisotropic Scaling for Robust Hand Model Personalization. ICCV Edoardo Remelli, Anastasia Tkach, Andrea Tagliasacchi, Mark Pauly
2017	J	`jnl`	Online generative model personalization for hand tracking. ACM Trans. Graph. Anastasia Tkach, Andrea Tagliasacchi, Edoardo Remelli, Mark Pauly, Andrew W. Fitzgibbon
2017	J	`jnl`	Sketch-based implicit blending. ACM Trans. Graph. Baptiste Angles, Marco Tarini, Brian Wyvill, Loïc Barthe, Andrea Tagliasacchi
2016	J	`jnl`	3D Skeletons: A State-of-the-Art Report. Comput. Graph. Forum Andrea Tagliasacchi, Thomas Delamé, Michela Spagnuolo, Nina Amenta, Alexandru C. Telea
2016	—	`conf`	Modern techniques and applications for real-time non-rigid registration. SIGGRAPH ASIA Courses Andrea Tagliasacchi, Sofien Bouaziz, Mark Pauly, Hao Li
2016	J	`jnl`	Sphere-meshes for real-time hand modeling and tracking. ACM Trans. Graph. Anastasia Tkach, Mark Pauly, Andrea Tagliasacchi
2015	J	`jnl`	Robust Articulated-ICP for Real-Time Hand Tracking. Comput. Graph. Forum Andrea Tagliasacchi, Matthias Schröder, Anastasia Tkach, Sofien Bouaziz, Mario Botsch, Mark Pauly
2014	—	`conf`	Dynamic 2D/3D Registration. Eurographics (Tutorials) Sofien Bouaziz, Andrea Tagliasacchi, Mark Pauly
2014	J	`jnl`	High-contrast computational caustic design. ACM Trans. Graph. Yuliy Schwartzburg, Romain Testuz, Andrea Tagliasacchi, Mark Pauly
2014	—	`conf`	State of the Art in Surface Reconstruction from Point Clouds. Eurographics (State of the Art Reports) Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva
2013	J	`jnl`	Skeletal Representations and Applications CoRR Andrea Tagliasacchi
2013	J	`jnl`	Sparse Iterative Closest Point. Comput. Graph. Forum Sofien Bouaziz, Andrea Tagliasacchi, Mark Pauly
2012	J	`jnl`	Mean Curvature Skeletons. Comput. Graph. Forum Andrea Tagliasacchi, Ibraheem Alhashim, Matt Olson, Hao Zhang
2011	J	`jnl`	Prior Knowledge for Part Correspondence. Comput. Graph. Forum Oliver van Kaick, Andrea Tagliasacchi, Oana Sidi, Hao Zhang, Daniel Cohen-Or, Lior Wolf, Ghassan Hamarneh
2011	J	`jnl`	VASE: Volume-Aware Surface Evolution for Surface Reconstruction from Incomplete Point Clouds. Comput. Graph. Forum Andrea Tagliasacchi, Matt Olson, Hao Zhang, Ghassan Hamarneh, Daniel Cohen-Or
2010	J	`jnl`	Consensus Skeleton for Non-rigid Space-time Registration. Comput. Graph. Forum Qian Zheng, Andrei Sharf, Andrea Tagliasacchi, Baoquan Chen, Hao Zhang, Alla Sheffer, Daniel Cohen-Or
2010	—	`conf`	Point Cloud Skeletons via Laplacian Based Contraction. Shape Modeling International Junjie Cao, Andrea Tagliasacchi, Matt Olson, Hao Zhang, Zhixun Su
2009	J	`jnl`	Curve skeleton extraction from incomplete point cloud. ACM Trans. Graph. Andrea Tagliasacchi, Hao Zhang, Daniel Cohen-Or
2009	J	`jnl`	Partial intrinsic reflectional symmetry of 3D shapes. ACM Trans. Graph. Kai Xu, Hao Zhang, Andrea Tagliasacchi, Ligang Liu, Guo Li, Min Meng, Yueshan Xiong
2009	—	`conf`	Searching for Concurrent Design Patterns in Video Games. Euro-Par Micah J. Best, Alexandra Fedorova, Ryan Dickie, Andrea Tagliasacchi, Alex Couture-Beil, Craig Mustard, Shane Mottishaw, Aron Brown, Zhi Feng Huang, Xiaoyuan Xu, Nasser Ghazali, Andrew Brownsword
2008	J	`jnl`	Deformation-Driven Shape Correspondence. Comput. Graph. Forum Hao Zhang, Alla Sheffer, Daniel Cohen-Or, Quan Zhou, Oliver van Kaick, Andrea Tagliasacchi