Peter A. Beerel
8 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (5) π Cross-Pollinator (9) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π
Keyword Champion
(2)
Conferences
WACV (5)
ICCV (2)
ACML (1)
Top co-authors
Keywords
model compression
(3)
vision transformer
(2)
neural network pruning
(2)
spiking neural network
(2)
energy-efficient computing
(2)
attention mechanism
(1)
neural architecture search
(1)
adversarial training
(1)
efficient computing
(1)
energy efficiency
(1)
accuracy robustness trade-off
(1)
neuromorphic hardware
(1)
model complexity
(1)
object classification
(1)
bayesian optimization
(1)
adversarial attack
(1)
convolutional neural network
(1)
memory efficiency
(1)
edge computing
(1)
model optimization
(1)
Papers
MaskVD: Region Masking for Efficient Video Object Detection
WACV 2025
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
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness
WACV 2023
Enabling ISPless Low-Power Computer Vision
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