David Crandall
12 papers · 2016–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π₯
Mega-Team Β· Legion
ποΈ
Keyword Collector
(83)
π
Trend Setter
π
Century Club Β· Bronze
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Computer Vision
(7)
Deep Learning
(7)
Core AI
(7)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(5)
Domain-Specific
(4)
Analysis
(3)
Architectures
(3)
Models
(3)
Processing
(3)
Natural Language Processing
(2)
Interdisciplinary
(1)
Keywords
self-supervised learning
(2)
video representation learning
(2)
synthetic data
(2)
feature learning
(2)
egocentric video
(2)
few-shot learning
(1)
object recognition
(1)
zero-shot learning
(1)
sequence labeling
(1)
ensemble learning
(1)
image segmentation
(1)
hierarchical learning
(1)
object detection
(1)
transfer learning
(1)
dependency parsing
(1)
syntactic parsing
(1)
multimodal learning
(1)
egocentric vision
(1)
video understanding
(1)
image generation
(1)
Papers
TimeRefine: Temporal Grounding with Time Refining Video LLM
WACV 2026
Multi-Resolution Guided 3D GANs for Medical Image Translation
WACV 2025
Run Like a Neural Network, Explain Like k-Nearest Neighbor
IJCAI 2025
What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning
ICCV 2025
VindLU: A Recipe for Effective Video-and-Language Pretraining
CVPR 2023
Ego4D: Around the World in 3,000 Hours of Egocentric Video
CVPR 2022
Hierarchically Decoupled Spatial-Temporal Contrast for Self-Supervised Video Representation Learning
WACV 2022
Semantically Stealthy Adversarial Attacks Against Segmentation Models
WACV 2022
A Self Validation Network for Object-Level Human Attention Estimation
NeurIPS 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
NeurIPS 2019
Toddler-Inspired Visual Object Learning
NeurIPS 2018
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
NeurIPS 2016