Alec Jacobson
10 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Conference Polyglot (4) π Academic Marathon (6) π Renaissance Researcher (5) π Interdisciplinary Bridge
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Taxonomy Completionist
(25)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Century Club
(10)
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Keyword Collector
(56)
Conferences
CVPR (4)
NIPS (4)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
3d reconstruction
(3)
3d vision
(2)
computer vision
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
point cloud
(1)
adam optimizer
(1)
diffusion model
(1)
geometric deep learning
(1)
deep learning
(1)
neural architecture
(1)
surface reconstruction
(1)
motion segmentation
(1)
optical flow
(1)
optimization algorithm
(1)
structure from motion
(1)
gradient-based optimization
(1)
differentiable rendering
(1)
neural radiance field
(1)
transformer architecture
(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
NIPS 2022
Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors
CVPR 2022
VectorAdam for Rotation Equivariant Geometry Optimization
NIPS 2022
Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes
CVPR 2021
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
NIPS 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
NIPS 2019