Peter A. Beerel
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
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Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Application Areas
(5)
Computer Vision
(4)
Architectures
(4)
Learning Types · Machine Learning
(3)
Optimization & Theory · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Artificial Intelligence
(2)
Analysis
(2)
Core AI · Artificial Intelligence
(2)
Bayesian & Probabilistic
(1)
Core AI · Computer Vision
(1)
Learning Types · Deep Learning
(1)
Processing
(1)
Keywords
model compression
(3)
neural network pruning
(2)
energy-efficient computing
(2)
vision transformer
(2)
spiking neural network
(2)
convolutional neural network
(2)
neural architecture search
(1)
adversarial training
(1)
efficient computing
(1)
energy efficiency
(1)
neuromorphic hardware
(1)
model complexity
(1)
object classification
(1)
bayesian optimization
(1)
adversarial attack
(1)
memory efficiency
(1)
edge computing
(1)
model optimization
(1)
softmax approximation
(1)
multi-party computation
(1)
Papers
MaskVD: Region Masking for Efficient Video Object Detection
WACV 2025
Enabling ISPless Low-Power Computer Vision
WACV 2023
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness
WACV 2023
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation
ICCV 2023
Self-Attentive Pooling for Efficient Deep Learning
WACV 2023
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise
ICCV 2021
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression
WACV 2021
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
ACML 2020