499 citations · 1.1k across the 62 of their papers we have counts for
13 papers · 1 filter
Weakly-supervised Fingerspelling Recognition in British Sign Language Videos
K R Prajwal, Hannah Bull, Liliane Momeni +3
The goal of this work is to detect and recognize sequences of letters signed using fingerspelling in British Sign Language (BSL). Previous fingerspelling recognition methods have n…
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models
Vishaal Udandarao, Ankush Gupta, Samuel Albanie
Contrastive Language-Image Pre-training (CLIP) has emerged as a simple yet effective way to train large-scale vision-language models. CLIP demonstrates impressive zero-shot classif…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
Crosslingual Generalization through Multitask Finetuning
Niklas Muennighoff, Thomas Wang, Lintang Sutawika +16
Multitask prompted finetuning (MTF) has been shown to help large language models generalize to new tasks in a zero-shot setting, but so far explorations of MTF have focused on Engl…
NamedMask: Distilling Segmenters from Complementary Foundation Models
Gyungin Shin, Weidi Xie, Samuel Albanie
The goal of this work is to segment and name regions of images without access to pixel-level labels during training. To tackle this task, we construct segmenters by distilling the…
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
Hangjie Yuan, Jianwen Jiang, Samuel Albanie +4
The task of Human-Object Interaction (HOI) detection targets fine-grained visual parsing of humans interacting with their environment, enabling a broad range of applications. Prior…
Automatic dense annotation of large-vocabulary sign language videos
Liliane Momeni, Hannah Bull, K R Prajwal +3
Recently, sign language researchers have turned to sign language interpreted TV broadcasts, comprising (i) a video of continuous signing and (ii) subtitles corresponding to the aud…
ReCo: Retrieve and Co-segment for Zero-shot Transfer
Gyungin Shin, Weidi Xie, Samuel Albanie
Semantic segmentation has a broad range of applications, but its real-world impact has been significantly limited by the prohibitive annotation costs necessary to enable deployment…
Scaling up sign spotting through sign language dictionaries
Gül Varol, Liliane Momeni, Samuel Albanie +2
The focus of this work is - given a video of an isolated sign, our task is to identify and it has been signed in a cont…
A 23 MW data centre is all you need
Samuel Albanie, Dylan Campbell, João F. Henriques
The field of machine learning has achieved striking progress in recent years, witnessing breakthrough results on language modelling, protein folding and nitpickingly fine-grained d…
Unsupervised Salient Object Detection with Spectral Cluster Voting
Gyungin Shin, Samuel Albanie, Weidi Xie
In this paper, we tackle the challenging task of unsupervised salient object detection (SOD) by leveraging spectral clustering on self-supervised features. We make the following co…
Audio Retrieval with Natural Language Queries: A Benchmark Study
A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques +2
The objectives of this work are cross-modal text-audio and audio-text retrieval, in which the goal is to retrieve the audio content from a pool of candidates that best matches a gi…
Sign Language Video Retrieval with Free-Form Textual Queries
Amanda Duarte, Samuel Albanie, Xavier Giró-i-Nieto +1
Systems that can efficiently search collections of sign language videos have been highlighted as a useful application of sign language technology. However, the problem of searching…