David Ahmedt-Aristizabal
9 papers · 2024–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
Top co-authors
Research topics
Computer Vision
(6)
Analysis
(5)
Machine Learning
(4)
Deep Learning
(3)
Application Areas
(3)
Generation
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Processing
(2)
Computer Science
(1)
Applications
(1)
Domain-Specific
(1)
Keywords
neural rendering
(3)
domain adaptation
(2)
test-time adaptation
(2)
point cloud
(2)
3d vision
(2)
scene understanding
(1)
entropy minimization
(1)
continual learning
(1)
adaptive sampling
(1)
medical imaging
(1)
depth estimation
(1)
self-supervised learning
(1)
pedestrian detection
(1)
image editing
(1)
privacy preservation
(1)
subspace learning
(1)
image generation
(1)
flow matching
(1)
3d reconstruction
(1)
volume rendering
(1)
Papers
BiFM: Bidirectional Flow Matching for Few-Step Image Editing and Generation
CVPR 2026
SOAF: Scene Occlusion-aware Neural Acoustic Field
WACV 2026
DCHM: Depth-Consistent Human Modeling for Multiview Detection
ICCV 2025
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation
WACV 2025
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-Grade Videos
WACV 2025
Backpropagation-free Network for 3D Test-time Adaptation
CVPR 2024
Continual Test-Time Domain Adaptation via Dynamic Sample Selection
WACV 2024
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
CVPR 2024
NeRF Director: Revisiting View Selection in Neural Volume Rendering
CVPR 2024