output
20152026
most citedContextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression

83 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2025★ 3 cited

ConsistentDreamer: View-Consistent Meshes Through Balanced Multi-View Gaussian Optimization

Onat Şahin, Mohammad Altillawi, George Eskandar +2

Recent advances in diffusion models have significantly improved 3D generation, enabling the use of assets generated from an image for embodied AI simulations. However, the one-to-m…

cs.CV2025★ 8 cited

LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks

Liudi Yang, Ruben Mascaro, Ignacio Alzugaray +4

In this paper, we propose a novel loop closure detection algorithm that uses graph attention neural networks to encode semantic graphs to perform place recognition and then use sem…

cs.CV2024

Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion Models

Antonio Ruiz, Andrew Melnik, Nicolo Savioli +3

The lane graph is critical for applications such as autonomous driving and lane-level route planning. While previous research has focused on extracting lane-level graphs from aeria…

cs.CV2023★ 3 cited

Implicit Learning of Scene Geometry from Poses for Global Localization

Mohammad Altillawi, Shile Li, Sai Manoj Prakhya +2

Global visual localization estimates the absolute pose of a camera using a single image, in a previously mapped area. Obtaining the pose from a single image enables many robotics a…

cs.CV2023★ 1 cited

Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras

Mohammad Altillawi, Zador Pataki, Shile Li +1

Re-localizing a camera from a single image in a previously mapped area is vital for many computer vision applications in robotics and augmented/virtual reality. In this work, we ad…

cs.CV2018

Learnable Exposure Fusion for Dynamic Scenes

Fahd Bouzaraa, Ibrahim Halfaoui, Onay Urfalioglu

In this paper, we focus on Exposure Fusion (EF) [ExposFusi2] for dynamic scenes. The task is to fuse multiple images obtained by exposure bracketing to create an image which compri…