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Andrew Zisserman

AwardCVPR 2026×5NeurIPS 2026×2AAAI 2026ACL 2026SIGIR 2026多模态对齐与偏好效率与系统多语言与语言学社会与人本
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0 一作 · 10 篇 · CVPR 2026 / NeurIPS 2026 / AAAI 2026 / ACL 2026 / SIGIR 2026

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2026 顶会论文

10
作者位次 #2/2CVPR 2026Poster· Computer Vision & Pattern Recognition

CountGD++: Generalized Prompting for Open-World Counting

Niki Amini-Naieni · Andrew Zisserman

多模态理论与学习动力学OpenReview 项目页
作者位次 #6/6ACL 2026Poster· Natural Language Processing

Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing

Zifan Jiang · Youngjoon Jang · Liliane Momeni · Gul Varol · Sarah Ebling · Andrew Zisserman

摘要

The goal of this work is to develop a universal approach for aligning subtitles (i.e., spoken language text with corresponding timestamps) to continuous sign language videos. Prior approaches typically rely on end-to-end training tied to a specific language or dataset, which limits their generali...

数据与预训练对齐与偏好多模态OpenReview 项目页
作者位次 #4/5SIGIR 2026Poster· Information Retrieval (Demo)

WISE: A Multimodal Search Engine for Visual Scenes, Audio, Objects, Faces, Speech, and Metadata

Prasanna Sridhar · Horace Lee · David M. S. Pinto · Andrew Zisserman · Abhishek Dutta

摘要

In this paper, we present WISE, an open-source audiovisual search engine which integrates a range of multimodal retrieval capabilities into a single practical tool, accessible to users without machine learning expertise. WISE supports natural-language and reverse-image queries at both the scene l...

多模态检索与知识效率与系统OpenReview
作者位次 #2/2AAAI 2026Poster· Artificial Intelligence

Open-World Object Counting in Videos

Niki Amini-Naieni · Andrew Zisserman

多模态OpenReview

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