Andrea Tagliasacchi
Computer Vision and Pattern Recognition · 2009–2023
A researcher in the Science corpus: 22 papers; trusts 1,183 researchers and is trusted by 100 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 664 citations into it; #3,412 of 21,575 by trust here, #4,344 by citations
- Computational Mechanics — 318 citations into it; #2,519 of 10,001 by trust here, #914 by citations
- Computer Graphics and Computer-Aided Design — 265 citations into it; #335 of 1,584 by trust here, #183 by citations
- Aerospace Engineering — 165 citations into it; #2,342 of 6,421 by trust here, #2,245 by citations
- 3D Vision & Pose — 139 citations into it; #664 of 689 by trust here, #597 by citations
- Artificial Intelligence — 129 citations into it
- Geology — 84 citations into it; #631 of 687 by trust here, #300 by citations
- Generative Models — 71 citations into it
Whom Andrea Tagliasacchi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Jimmy Ba
- David G. Lowe
- Ilya Sutskever
Who trusts Andrea Tagliasacchi overall
- Geoffrey E. Hinton
- M. Berger
- Kang Yin
- Yue Wang
- Rundi Wu
- Ying Li
- Weiwei Sun
- Joshua A. Levine
- Christopher Bongsoo Choy
- Simon Fraser
Papers from Andrea Tagliasacchi's perspective
Ordered by how strongly the researchers Andrea Tagliasacchi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Kubric: A scalable dataset generator (2022) — 467 citations
- Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations (2021) — 260 citations
- OpenScene: 3D Scene Understanding with Open Vocabularies (2022) — 718 citations
- COTR: Correspondence Transformer for Matching Across Images (2021) — 326 citations
- NASA: Neural Articulated Shape Approximation (2019) — 234 citations
- MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures (2022) — 454 citations
- Unsupervised part representation by Flow Capsules (2020) — 41 citations
- ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning (2020) — 158 citations
- Canonical Capsules: Unsupervised Capsules in Canonical Pose (2020) — 44 citations
- Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation (2022) — 330 citations
- PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction (2023) — 744 citations
- Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation (2021) — 315 citations
- Urban Radiance Fields (2021) — 344 citations
- Sparse Iterative Closest Point (2013) — 543 citations
- Novel View Synthesis with Diffusion Models (2022) — 348 citations
- Vector Neurons: A General Framework for SO(3)-Equivariant Networks (2021) — 435 citations
- BSP-Net: Generating Compact Meshes via Binary Space Partitioning (2019) — 362 citations
- A Survey of Surface Reconstruction from Point Clouds (2017) — 580 citations
- 3D Skeletons: A State‐of‐the‐Art Report (2016) — 296 citations
- State of the Art in Surface Reconstruction from Point Clouds (2014) — 403 citations