Bailly, Kevin

9 publications

CVPRW 2024 MultIOD: Rehearsal-Free Multihead Incremental Object Detector Eden Belouadah, Arnaud Dapogny, Kevin Bailly

ICLR 2024 Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings Edouard Yvinec, Arnaud Dapogny, Kevin Bailly

ICLR 2023 PowerQuant: Automorphism Search for Non-Uniform Quantization Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

NeurIPS 2023 REx: Data-Free Residual Quantization Error Expansion Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

WACV 2023 SPIQ: Data-Free Per-Channel Static Input Quantization Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

NeurIPS 2022 SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

IJCAI 2022 To Fold or Not to Fold: A Necessary and Sufficient Condition on Batch-Normalization Layers Folding Edouard Yvinec, Arnaud Dapogny, Kevin Bailly

NeurIPS 2021 RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

ICCV 2015 Pairwise Conditional Random Forests for Facial Expression Recognition Arnaud Dapogny, Kevin Bailly, Severine Dubuisson