Kevin Bailly
9 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (5) ๐ Academic Marathon (9) ๐ Cross-Pollinator (12)
๐บ๏ธ
Taxonomy Completionist
(15)
๐ฃ
Hot Topic Early Bird
Conferences
NIPS (3)
ICCV (2)
ICLR (2)
IJCAI (1)
WACV (1)
Keywords
model compression
(5)
structured pruning
(2)
deep neural network
(2)
neural network quantization
(2)
data-free learning
(1)
neural network optimization
(1)
face alignment
(1)
landmark detection
(1)
video analysis
(1)
inference efficiency
(1)
filter pruning
(1)
edge deployment
(1)
inference acceleration
(1)
integrated gradient
(1)
attention map
(1)
channel pruning
(1)
batch-normalization layer
(1)
facial expression recognition
(1)
facial landmark
(1)
spatiotemporal pattern
(1)
Papers
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
ICLR 2024
REx: Data-Free Residual Quantization Error Expansion
NIPS 2023
SPIQ: Data-Free Per-Channel Static Input Quantization
WACV 2023
PowerQuant: Automorphism Search for Non-Uniform Quantization
ICLR 2023
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
NIPS 2022
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding
IJCAI 2022
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
NIPS 2021
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild
ICCV 2019
Pairwise Conditional Random Forests for Facial Expression Recognition
ICCV 2015