4 papers
Orthogonal Polynomial Approximation for Matrix Log Normalization in Global Covariance Pooling
Md Rifat Ur Rahman, Md Raihan Khan, Md Sakib Hossain Shovon +2
Global Covariance Pooling (GCP) improves deep networks by capturing second-order feature statistics, and is especially effective for fine-grained recognition. Because covariance ma…
I-SplineFlow: Learning Monotone Spline Stochastic Interpolant Schedulers for Few-Step Generation
Md Sakib Hossain Shovon, Md Rifat Ur Rahman, Md Abtahi Majeed Chowdhury +3
Few-step generation with pretrained diffusion and flow models can be accelerated by lightweight training that optimizes the sampling trajectory rather than the network. A recent ap…
Is Haar Enough? Exploring Symlets and Coiflets for Wavelet Convolution Layers
Md Rifat Ur Rahman
Wavelet convolution layers have recently emerged as an efficient mechanism for enlarging receptive fields through multiresolution analysis, but prior work has fixed the wavelet bas…
LOOPE: Learnable Optimal Patch Order in Positional Embeddings for Vision Transformers
Md Abtahi Majeed Chowdhury, Md Rifat Ur Rahman, Akil Ahmad Taki
Positional embeddings (PE) play a crucial role in Vision Transformers (ViTs) by providing spatial information otherwise lost due to the permutation invariant nature of self attenti…