Samuel Albanie

research

∙ 08/21/2023

Simple Baselines for Interactive Video Retrieval with Questions and Answers

To date, the majority of video retrieval systems have been optimized for...

0 Kaiqu Liang, et al. ∙

research

∙ 08/18/2023

RLIPv2: Fast Scaling of Relational Language-Image Pre-training

Relational Language-Image Pre-training (RLIP) aims to align vision repre...

0 Hangjie Yuan, et al. ∙

research

∙ 06/13/2023

arXiVeri: Automatic table verification with GPT

Without accurate transcription of numerical data in scientific documents...

3 Gyungin Shin, et al. ∙

research

∙ 05/30/2023

GPT4GEO: How a Language Model Sees the World's Geography

Large language models (LLMs) have shown remarkable capabilities across a...

0 Jonathan Roberts, et al. ∙

research

∙ 04/27/2023

Zero-shot Unsupervised Transfer Instance Segmentation

Segmentation is a core computer vision competency, with applications spa...

2 Gyungin Shin, et al. ∙

research

∙ 04/23/2023

SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models

Interpreting remote sensing imagery enables numerous downstream applicat...

0 Jonathan Roberts, et al. ∙

research

∙ 04/21/2023

Can GPT-4 Perform Neural Architecture Search?

We investigate the potential of GPT-4~\cite{gpt4} to perform Neural Arch...

0 Mingkai Zheng, et al. ∙

research

∙ 04/02/2023

Large Language Models are Few-shot Publication Scoopers

Driven by recent advances AI, we passengers are entering a golden age of...

1 Samuel Albanie, et al. ∙

research

∙ 03/15/2023

DeepMIM: Deep Supervision for Masked Image Modeling

Deep supervision, which involves extra supervisions to the intermediate ...

0 Sucheng Ren, et al. ∙

research

∙ 11/28/2022

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models

Contrastive Language-Image Pre-training (CLIP) has emerged as a simple y...

0 Vishaal Udandarao, et al. ∙

research

∙ 11/16/2022

Weakly-supervised Fingerspelling Recognition in British Sign Language Videos

The goal of this work is to detect and recognize sequences of letters si...

5 K R Prajwal, et al. ∙

research

∙ 11/03/2022

Crosslingual Generalization through Multitask Finetuning

Multitask prompted finetuning (MTF) has been shown to help large languag...

0 Niklas Muennighoff, et al. ∙

research

∙ 09/22/2022

NamedMask: Distilling Segmenters from Complementary Foundation Models

The goal of this work is to segment and name regions of images without a...

0 Gyungin Shin, et al. ∙

research

∙ 09/05/2022

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

The task of Human-Object Interaction (HOI) detection targets fine-graine...

3 Hangjie Yuan, et al. ∙

research

∙ 08/04/2022

Automatic dense annotation of large-vocabulary sign language videos

Recently, sign language researchers have turned to sign language interpr...

1 Liliane Momeni, et al. ∙

research

∙ 06/14/2022

ReCo: Retrieve and Co-segment for Zero-shot Transfer

Semantic segmentation has a broad range of applications, but its real-wo...

1 Gyungin Shin, et al. ∙

research

∙ 05/09/2022

Scaling up sign spotting through sign language dictionaries

The focus of this work is sign spotting - given a video of an isolated s...

1 Gul Varol, et al. ∙

research

∙ 03/31/2022

A 23 MW data centre is all you need

The field of machine learning has achieved striking progress in recent y...

0 Samuel Albanie, et al. ∙

research

∙ 03/23/2022

Unsupervised Salient Object Detection with Spectral Cluster Voting

In this paper, we tackle the challenging task of unsupervised salient ob...

21 Gyungin Shin, et al. ∙

research

∙ 01/07/2022

Sign Language Video Retrieval with Free-Form Textual Queries

Systems that can efficiently search collections of sign language videos ...

16 Amanda Duarte, et al. ∙

research

∙ 12/17/2021

Audio Retrieval with Natural Language Queries: A Benchmark Study

The objectives of this work are cross-modal text-audio and audio-text re...

0 A. Sophia Koepke, et al. ∙

research

∙ 11/05/2021

BBC-Oxford British Sign Language Dataset

In this work, we introduce the BBC-Oxford British Sign Language (BOBSL) ...

18 Samuel Albanie, et al. ∙

research

∙ 05/06/2021

Aligning Subtitles in Sign Language Videos

The goal of this work is to temporally align asynchronous subtitles in s...

5 Hannah Bull, et al. ∙

research

∙ 05/05/2021

Audio Retrieval with Natural Language Queries

We consider the task of retrieving audio using free-form natural languag...

0 Andreea-Maria Oncescu, et al. ∙

research

∙ 04/28/2021

Sign Segmentation with Changepoint-Modulated Pseudo-Labelling

The objective of this work is to find temporal boundaries between signs ...

0 Katrin Renz, et al. ∙

research

∙ 04/13/2021

All you need are a few pixels: semantic segmentation with PixelPick

A central challenge for the task of semantic segmentation is the prohibi...

2 Gyungin Shin, et al. ∙

research

∙ 03/31/2021

On the Origin of Species of Self-Supervised Learning

In the quiet backwaters of cs.CV, cs.LG and stat.ML, a cornucopia of new...

0 Samuel Albanie, et al. ∙

research

∙ 03/30/2021

Read and Attend: Temporal Localisation in Sign Language Videos

The objective of this work is to annotate sign instances across a broad ...

4 Gul Varol, et al. ∙

research

∙ 03/26/2021

Quantum Self-Supervised Learning

The popularisation of neural networks has seen incredible advances in pa...

13 Ben Jaderberg, et al. ∙

research

∙ 11/25/2020

Sign language segmentation with temporal convolutional networks

The objective of this work is to determine the location of temporal boun...

0 Katrin Renz, et al. ∙

research

∙ 11/22/2020

QuerYD: A video dataset with high-quality textual and audio narrations

We introduce QuerYD, a new large-scale dataset for retrieval and event l...

11 Andreea-Maria Oncescu, et al. ∙

research

∙ 11/15/2020

Explaining the Adaptive Generalisation Gap

We conjecture that the reason for the difference in generalisation betwe...

0 Diego Granziol, et al. ∙

research

∙ 10/08/2020

Watch, read and lookup: learning to spot signs from multiple supervisors

The focus of this work is sign spotting - given a video of an isolated s...

8 Liliane Momeni, et al. ∙

research

∙ 09/02/2020

Seeing wake words: Audio-visual Keyword Spotting

The goal of this work is to automatically determine whether and when a w...

6 Liliane Momeni, et al. ∙

research

∙ 07/23/2020

BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues

Recent progress in fine-grained gesture and action classification, and m...

2 Samuel Albanie, et al. ∙

research

∙ 03/31/2020

State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication

Peer review forms the backbone of modern scientific manuscript evaluatio...

0 Samuel Albanie, et al. ∙

research

∙ 02/20/2020

Disentangled Speech Embeddings using Cross-modal Self-supervision

The objective of this paper is to learn representations of speaker ident...

17 Arsha Nagrani, et al. ∙

research

∙ 08/18/2019

Unsupervised Learning of Landmarks by Descriptor Vector Exchange

Equivariance to random image transformations is an effective method to l...

13 James Thewlis, et al. ∙

research

∙ 07/31/2019

Use What You Have: Video Retrieval Using Representations From Collaborative Experts

The rapid growth of video on the internet has made searching for video c...

3 Yang Liu, et al. ∙

research

∙ 04/01/2019

Deep Industrial Espionage

The theory of deep learning is now considered largely solved, and is wel...

0 Samuel Albanie, et al. ∙

research

∙ 10/29/2018

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

While the use of bottom-up local operators in convolutional neural netwo...

0 Jie Hu, et al. ∙

research

∙ 08/16/2018

Emotion Recognition in Speech using Cross-Modal Transfer in the Wild

Obtaining large, human labelled speech datasets to train models for emot...

8 Samuel Albanie, et al. ∙

research

∙ 07/27/2018

Semi-convolutional Operators for Instance Segmentation

Object detection and instance segmentation are dominated by region-based...

2 David Novotny, et al. ∙

research

∙ 05/21/2018

Small steps and giant leaps: Minimal Newton solvers for Deep Learning

We propose a fast second-order method that can be used as a drop-in repl...

0 João F. Henriques, et al. ∙

research

∙ 05/02/2018

Learnable PINs: Cross-Modal Embeddings for Person Identity

We propose and investigate an identity sensitive joint embedding of face...

0 Arsha Nagrani, et al. ∙

research

∙ 04/04/2018

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Self-supervision can dramatically cut back the amount of manually-labell...

0 David Novotny, et al. ∙

research

∙ 04/01/2018

Substitute Teacher Networks: Learning with Almost No Supervision

Learning through experience is time-consuming, inefficient and often bad...

0 Samuel Albanie, et al. ∙

research

∙ 04/01/2018

Seeing Voices and Hearing Faces: Cross-modal biometric matching

We introduce a seemingly impossible task: given only an audio clip of so...

0 Arsha Nagrani, et al. ∙

research

∙ 03/07/2017

Stopping GAN Violence: Generative Unadversarial Networks

While the costs of human violence have attracted a great deal of attenti...

0 Samuel Albanie, et al. ∙

research

∙ 01/17/2017

Unknowable Manipulators: Social Network Curator Algorithms

For a social networking service to acquire and retain users, it must fin...

0 Samuel Albanie, et al. ∙

Samuel Albanie

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