output
19962026
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 2024 · cs.CVShow all

11 papers · 2 filters

cs.CV2024★ 1 cited

Multi-Head Encoding for Extreme Label Classification

Daojun Liang, Haixia Zhang, Dongfeng Yuan +1

The number of categories of instances in the real world is normally huge, and each instance may contain multiple labels. To distinguish these massive labels utilizing machine learn…

cs.CV2024★ 31 cited

NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods

Qiang Qu, Hanxue Liang, Xiaoming Chen +2

Neural View Synthesis (NVS) has demonstrated efficacy in generating high-fidelity dense viewpoint videos using a image set with sparse views. However, existing quality assessment m…

cs.CV2024★ 16 cited

EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision

Qiang Qu, Xiaoming Chen, Yuk Ying Chung +1

Event-stream representation is the first step for many computer vision tasks using event cameras. It converts the asynchronous event-streams into a formatted structure so that conv…

cs.CV2024★ 15 cited

Rate-Distortion Optimized Skip Coding of Region Adaptive Hierarchical Transform Coefficients for MPEG G-PCC

Zehan Wang, Yuxuan Wei, Hui Yuan +2

Three-dimensional (3D) point clouds are becoming more and more popular for representing 3D objects and scenes. Due to limited network bandwidth, efficient compression of 3D point c…

cs.CV2024★ 26 cited

LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks

Tianyi Wang, Mengxiao Huang, Harry Cheng +2

Deepfake facial manipulation has garnered significant public attention due to its impacts on enhancing human experiences and posing privacy threats. Despite numerous passive algori…

cs.CV2024★ 3 cited

KNN Transformer with Pyramid Prompts for Few-Shot Learning

Wenhao Li, Qiangchang Wang, Peng Zhao +1

Few-Shot Learning (FSL) aims to recognize new classes with limited labeled data. Recent studies have attempted to address the challenge of rare samples with textual prompts to modu…