Calvin Murdock
14 papers · 2015–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(67)
π
Trend Setter
π
Century Club Β· Bronze
π
Conference Pioneer
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Computer Vision
(7)
Domain-Specific
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Core Methods
(5)
Artificial Intelligence
(4)
Core AI
(4)
Analysis
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Machine Learning
(3)
Processing
(3)
Application Areas
(2)
Architectures
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
multimodal learning
(3)
model selection
(2)
egocentric vision
(2)
network architecture
(2)
neural network
(2)
unsupervised learning
(2)
speaker localization
(2)
adversarial robustness
(1)
manifold learning
(1)
semantic segmentation
(1)
domain generalization
(1)
transfer learning
(1)
principal component analysis
(1)
matrix factorization
(1)
image classification
(1)
knowledge distillation
(1)
weakly supervised learning
(1)
sparse coding
(1)
action recognition
(1)
transformer architecture
(1)
Papers
Forecasting 3D Scanpaths in Egocentric Video
CVPR 2026
EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception
ICCV 2025
Gaze-Enhanced Multimodal Turn-Taking Prediction in Triadic Conversations
Interspeech 2025
Hearing Anywhere in Any Environment
CVPR 2025
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos
ECCV 2024
Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization
CVPR 2022
Architectural Adversarial Robustness: The Case for Deep Pursuit
CVPR 2021
Dataless Model Selection With the Deep Frame Potential
CVPR 2020
Deep Component Analysis via Alternating Direction Neural Networks
ECCV 2018
Additive Component Analysis
CVPR 2017
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning
ICCV 2017
Blockout: Dynamic Model Selection for Hierarchical Deep Networks
CVPR 2016
Building Dynamic Cloud Maps From the Ground Up
ICCV 2015
Semantic Component Analysis
ICCV 2015