Antonio Criminisi
15 papers · 2012–2025 · 5 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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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(4)
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Keyword Pioneer
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Keyword Trendsetter Combo
(4)
π§¬
Topic Evolution
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Trend Setter
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(77)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(7)
Computer Vision
(6)
Deep Learning
(6)
Analysis
(5)
Architectures
(4)
Learning Types
(4)
Optimization & Theory Β· Machine Learning
(4)
Techniques
(4)
Optimization & Theory Β· Deep Learning
(3)
Application Areas
(2)
Artificial Intelligence
(1)
Robotics
(1)
Capabilities
(1)
Core AI
(1)
Keywords
decision forest
(4)
convolutional neural network
(3)
model compression
(3)
representation learning
(2)
ensemble learning
(2)
decision tree
(2)
3d reconstruction
(2)
regression forest
(2)
feature learning
(1)
object detection
(1)
semi-supervised learning
(1)
contextual information
(1)
depth estimation
(1)
model architecture
(1)
label propagation
(1)
efficient computing
(1)
structured prediction
(1)
neural network optimization
(1)
conditional computation
(1)
surface normal estimation
(1)
Papers
DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
ICCV 2025
VoluMe - Authentic 3D Video Calls from Live Gaussian Splat Prediction
ICCV 2025
Adaptive Neural Trees
ICML 2019
Semi-Supervised Learning via Compact Latent Space Clustering
ICML 2018
Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups
CVPR 2017
Deep Neural Decision Forests
IJCAI 2016
Measuring Neural Net Robustness with Constraints
NeurIPS 2016
Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information
IJCAI 2016
Refining Architectures of Deep Convolutional Neural Networks
CVPR 2016
Deep Neural Decision Forests
ICCV 2015
Filter Forests for Learning Data-Dependent Convolutional Kernels
CVPR 2014
Decision Jungles: Compact and Rich Models for Classification
NeurIPS 2013
GeoF: Geodesic Forests for Learning Coupled Predictors
CVPR 2013
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
CVPR 2013
Context-Sensitive Decision Forests for Object Detection
NeurIPS 2012