Alec Jacobson
10 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
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Deep Learning
(7)
Computer Vision
(6)
Analysis
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Machine Learning
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Computer Science
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Learning Types · Deep Learning
(3)
Processing
(3)
Learning Types · Machine Learning
(2)
Optimization & Theory · Deep Learning
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Optimization & Theory · Machine Learning
(2)
Mathematics & Optimization
(1)
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(1)
Domain-Specific
(1)
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3d reconstruction
(3)
differentiable rendering
(2)
3d vision
(2)
gradient-based optimization
(1)
geometric deep learning
(1)
uncertainty quantification
(1)
computer vision
(1)
point cloud
(1)
diffusion model
(1)
structure from motion
(1)
optical flow
(1)
deep learning
(1)
neural architecture
(1)
surface reconstruction
(1)
motion segmentation
(1)
self-supervised learning
(1)
adversarial attack
(1)
optimization algorithm
(1)
adversarial robustness
(1)
image classification
(1)
Papers
RoMo: Robust Motion Segmentation Improves Structure from Motion
ICCV 2025
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
CVPR 2024
VecFusion: Vector Font Generation with Diffusion
CVPR 2024
Breaking Bad: A Dataset for Geometric Fracture and Reassembly
NeurIPS 2022
Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors
CVPR 2022
VectorAdam for Rotation Equivariant Geometry Optimization
NeurIPS 2022
Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes
CVPR 2021
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
NeurIPS 2020
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
ICLR 2019
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
NeurIPS 2019