Arnaud Dapogny
12 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (10) π Cross-Pollinator (12)
π£
Hot Topic Early Bird
π
Conference Polyglot
(7)
π§¬
Topic Evolution
π
Century Club
(12)
ποΈ
Keyword Collector
(53)
π₯
Unstoppable
(7)
Conferences
ICCV (3)
NIPS (3)
ICLR (2)
AAAI (1)
CVPR (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
model compression
(5)
deep neural network
(2)
structured pruning
(2)
neural network quantization
(2)
multimodal learning
(1)
semantic segmentation
(1)
catastrophic forgetting
(1)
knowledge distillation
(1)
continual learning
(1)
batch normalization
(1)
computer vision
(1)
adversarial training
(1)
data-free learning
(1)
neural network optimization
(1)
landmark detection
(1)
face alignment
(1)
video analysis
(1)
image inpainting
(1)
image completion
(1)
feature learning
(1)
Papers
Analyzing Finetuning Representation Shift for Multimodal LLMs Steering
ICCV 2025
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
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding
IJCAI 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
NIPS 2022
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
NIPS 2021
PLOP: Learning Without Forgetting for Continual Semantic Segmentation
CVPR 2021
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network
AAAI 2020
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild
ICCV 2019
Pairwise Conditional Random Forests for Facial Expression Recognition
ICCV 2015