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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...
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08/18/2023
RLIPv2: Fast Scaling of Relational Language-Image Pre-training
Relational Language-Image Pre-training (RLIP) aims to align vision repre...
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06/13/2023
arXiVeri: Automatic table verification with GPT
Without accurate transcription of numerical data in scientific documents...
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05/30/2023
GPT4GEO: How a Language Model Sees the World's Geography
Large language models (LLMs) have shown remarkable capabilities across a...
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04/27/2023
Zero-shot Unsupervised Transfer Instance Segmentation
Segmentation is a core computer vision competency, with applications spa...
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04/23/2023
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models
Interpreting remote sensing imagery enables numerous downstream applicat...
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04/21/2023
Can GPT-4 Perform Neural Architecture Search?
We investigate the potential of GPT-4~\cite{gpt4} to perform Neural Arch...
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04/02/2023
Large Language Models are Few-shot Publication Scoopers
Driven by recent advances AI, we passengers are entering a golden age of...
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03/15/2023
DeepMIM: Deep Supervision for Masked Image Modeling
Deep supervision, which involves extra supervisions to the intermediate ...
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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...
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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...
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11/03/2022
Crosslingual Generalization through Multitask Finetuning
Multitask prompted finetuning (MTF) has been shown to help large languag...
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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...
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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...
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08/04/2022
Automatic dense annotation of large-vocabulary sign language videos
Recently, sign language researchers have turned to sign language interpr...
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06/14/2022
ReCo: Retrieve and Co-segment for Zero-shot Transfer
Semantic segmentation has a broad range of applications, but its real-wo...
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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...
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03/31/2022
A 23 MW data centre is all you need
The field of machine learning has achieved striking progress in recent y...
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03/23/2022
Unsupervised Salient Object Detection with Spectral Cluster Voting
In this paper, we tackle the challenging task of unsupervised salient ob...
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01/07/2022
Sign Language Video Retrieval with Free-Form Textual Queries
Systems that can efficiently search collections of sign language videos ...
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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...
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11/05/2021
BBC-Oxford British Sign Language Dataset
In this work, we introduce the BBC-Oxford British Sign Language (BOBSL) ...
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05/06/2021
Aligning Subtitles in Sign Language Videos
The goal of this work is to temporally align asynchronous subtitles in s...
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05/05/2021
Audio Retrieval with Natural Language Queries
We consider the task of retrieving audio using free-form natural languag...
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04/28/2021
Sign Segmentation with Changepoint-Modulated Pseudo-Labelling
The objective of this work is to find temporal boundaries between signs ...
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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...
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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...
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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 ...
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03/26/2021
Quantum Self-Supervised Learning
The popularisation of neural networks has seen incredible advances in pa...
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11/25/2020
Sign language segmentation with temporal convolutional networks
The objective of this work is to determine the location of temporal boun...
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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...
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11/15/2020
Explaining the Adaptive Generalisation Gap
We conjecture that the reason for the difference in generalisation betwe...
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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...
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09/02/2020
Seeing wake words: Audio-visual Keyword Spotting
The goal of this work is to automatically determine whether and when a w...
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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...
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03/31/2020
State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
Peer review forms the backbone of modern scientific manuscript evaluatio...
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02/20/2020
Disentangled Speech Embeddings using Cross-modal Self-supervision
The objective of this paper is to learn representations of speaker ident...
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08/18/2019
Unsupervised Learning of Landmarks by Descriptor Vector Exchange
Equivariance to random image transformations is an effective method to l...
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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...
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04/01/2019
Deep Industrial Espionage
The theory of deep learning is now considered largely solved, and is wel...
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10/29/2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
While the use of bottom-up local operators in convolutional neural netwo...
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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...
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07/27/2018
Semi-convolutional Operators for Instance Segmentation
Object detection and instance segmentation are dominated by region-based...
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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...
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05/02/2018
Learnable PINs: Cross-Modal Embeddings for Person Identity
We propose and investigate an identity sensitive joint embedding of face...
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04/04/2018
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
Self-supervision can dramatically cut back the amount of manually-labell...
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04/01/2018
Substitute Teacher Networks: Learning with Almost No Supervision
Learning through experience is time-consuming, inefficient and often bad...
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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...
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03/07/2017
Stopping GAN Violence: Generative Unadversarial Networks
While the costs of human violence have attracted a great deal of attenti...
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01/17/2017