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19922026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2026 · cs.CVShow all

7 papers · 2 filters

cs.CV2026

HairPort: In-context 3D-aware Hair Import and Transfer for Images

Alireza Heidari, Amirhossein Alimohammadi, Ali Mahdavi-Amiri

Transferring hairstyles between images is an important but challenging task in computer graphics, computer vision, and visual effects. It enables users to explore new looks without…

cs.CV2026★ 2 cited

MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification

Mohammed Q. Alkhatib, Swalpa Kumar Roy, Ali Jamali

In this paper, a novel framework, MixerSENet, is introduced for hyperspectral image (HSI) classification, designed to address the challenges of computational efficiency and limited…

cs.CV2026

Advances in Neural 3D Mesh Texturing: A Survey

Sai Raj Kishore Perla, Hao Zhang, Ali Mahdavi-Amiri

Texturing 3D meshes plays a vital role in determining the visual realism of digital objects and scenes. Although recent generative 3D approaches based on Neural Radiance Fields and…

cs.CV2026

MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification

Mohammed Q. Alkhatib, Ali Jamali

Over the past decade, hyperspectral image (HSI) classification has drawn considerable interest due to HSIs' ability to effectively distinguish terrestrial objects by capturing deta…

cs.CV2026

Video Analysis and Generation via a Semantic Progress Function

Gal Metzer, Sagi Polaczek, Ali Mahdavi-Amiri +2

Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely changes are followed by sudden, ab…

cs.CV2026★ 2 cited

TrackerSplat: Exploiting Point Tracking for Fast and Robust Dynamic 3D Gaussians Reconstruction

Daheng Yin, Isaac Ding, Yili Jin +2

Recent advancements in 3D Gaussian Splatting (3DGS) have demonstrated its potential for efficient and photorealistic 3D reconstructions, which is crucial for diverse applications s…

cs.CV2026

Lightweight Prompt-Guided CLIP Adaptation for Monocular Depth Estimation

Reyhaneh Ahani Manghotay, Jie Liang

Leveraging the rich semantic features of vision-language models (VLMs) like CLIP for monocular depth estimation tasks is a promising direction, yet often requires extensive fine-tu…