:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gerami, Armin, Madani, Seyedehanita, Duraiswami, Ramani
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.10064
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transformer Based Linear Attention with Optimized GPU Kernel Implementation
by: Gerami, Armin, et al.
Published: (2025)

Morphing Through Time: Diffusion-Based Bridging of Temporal Gaps for Robust Alignment in Change Detection
by: Madani, Seyedehanita, et al.
Published: (2025)

Auditing Algorithmic Bias in Transformer-Based Trading
by: Gerami, Armin, et al.
Published: (2025)

DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
by: Madani, Seyedehanita, et al.
Published: (2025)

3D Gaussian Splatting with Normal Information for Mesh Extraction and Improved Rendering
by: Krishnan, Meenakshi, et al.
Published: (2025)

Room Impulse Response Synthesis via Differentiable Feedback Delay Networks for Efficient Spatial Audio Rendering
by: Gerami, Armin, et al.
Published: (2025)

Quantifying Document Impact in RAG-LLMs
by: Gerami, Armin, et al.
Published: (2025)

FAST: Factorizable Attention for Speeding up Transformers
by: Gerami, Armin, et al.
Published: (2024)

AURA: A Fine-Grained Benchmark and Decomposed Metric for Audio-Visual Reasoning
by: Galougah, Siminfar Samakoush, et al.
Published: (2025)

Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers
by: Liu, Yuhe, et al.
Published: (2026)

Learning Illumination Control in Diffusion Models
by: Anand, Nishit, et al.
Published: (2026)

EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding
by: Seth, Ashish, et al.
Published: (2025)

The Linear Attention Resurrection in Vision Transformer
by: Zheng, Chuanyang
Published: (2025)

ViT-AdaLA: Adapting Vision Transformers with Linear Attention
by: Li, Yifan, et al.
Published: (2026)

ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention
by: He, Chenhang, et al.
Published: (2024)

Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer
by: Lee, Dong In, et al.
Published: (2025)

Dynamic Differential Linear Attention: Enhancing Linear Diffusion Transformer for High-Quality Image Generation
by: Cao, Boyuan, et al.
Published: (2026)

Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion Transformer
by: Ghafoorian, Mohsen, et al.
Published: (2025)

SALAD: Achieve High-Sparsity Attention via Efficient Linear Attention Tuning for Video Diffusion Transformer
by: Fang, Tongcheng, et al.
Published: (2026)

Video-Robin: Autoregressive Diffusion Planning for Intent-Grounded Video-to-Music Generation
by: Lokegaonkar, Vaibhavi, et al.
Published: (2026)

Beyond Anatomy: Explainable ASD Classification from rs-fMRI via Functional Parcellation and Graph Attention Networks
by: Madani, Syeda Hareem, et al.
Published: (2026)

LoFLAT: Local Feature Matching using Focused Linear Attention Transformer
by: Cao, Naijian, et al.
Published: (2024)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
by: You, Haoran, et al.
Published: (2022)

EDiT: Efficient Diffusion Transformers with Linear Compressed Attention
by: Becker, Philipp, et al.
Published: (2025)

Agent Attention: On the Integration of Softmax and Linear Attention
by: Han, Dongchen, et al.
Published: (2023)

A Scalable MVDR Beamforming Algorithm That is Linear in the Number of Antennas
by: Herath, Sanjaya, et al.
Published: (2025)

PolaFormer: Polarity-aware Linear Attention for Vision Transformers
by: Meng, Weikang, et al.
Published: (2025)

DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
by: Daza, Roberto, et al.
Published: (2024)

Head Pursuit: Probing Attention Specialization in Multimodal Transformers
by: Basile, Lorenzo, et al.
Published: (2025)

SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
by: Guo, Jialong, et al.
Published: (2024)

X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation
by: Ma, Jian, et al.
Published: (2025)

L-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification
by: Goswami, Mitul, et al.
Published: (2025)

Rectifying Magnitude Neglect in Linear Attention
by: Fan, Qihang, et al.
Published: (2025)

HyperPointFormer: Multimodal Fusion in 3D Space with Dual-Branch Cross-Attention Transformers
by: Rizaldy, Aldino, et al.
Published: (2025)

ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers
by: Hsu, Chih-Chung, et al.
Published: (2026)

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models
by: Jain, Rahul, et al.
Published: (2026)

DYNAMO: Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Prediction
by: Patel, Mayank, et al.
Published: (2025)

Breaking the Low-Rank Dilemma of Linear Attention
by: Fan, Qihang, et al.
Published: (2024)

ARFlow: Autoregressive Flow with Hybrid Linear Attention
by: Hui, Mude, et al.
Published: (2025)

Linear Attention Modeling for Learned Image Compression
by: Feng, Donghui, et al.
Published: (2025)