Publications

(arXiv 2023) › Can GPT-4 Perform Neural Architecture Search?
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(NeurIPS 2022) › ReCo: Retrieve and Co-segment for Zero-shot Transfer
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(NeurIPS 2022) › RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
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(arXiv 2022) › BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
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(arXiv 2022) › Crosslingual Generalization through Multitask Finetuning
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(ECCV 2022) › Automatic dense annotation of large-vocabulary sign language videos
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(CVPRW 2022) › Unsupervised Salient Object Detection with Spectral Cluster Voting
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(CVPR 2022) › Cross Modal Retrieval with Querybank Normalisation
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(CVPR 2022) › Sign Language Video Retrieval with Free-Form Textual Queries
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(QST 2022) › Quantum Self-Supervised Learning
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(IJCV 2022) › Scaling up sign spotting through sign language dictionaries
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(ToM 2022) › Audio Retrieval with Natural Language Queries: A Benchmark Study
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(Technical Report 2021) › BOBSL: BBC-Oxford British Sign Language Dataset
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(ICCVW 2021) › All you need are a few pixels: semantic segmentation with PixelPick
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(ICCV 2021) › TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval
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(ICCV 2021) › Aligning Subtitles in Sign Language Videos
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(Interspeech 2021) › Audio Retrieval with Natural Language Queries
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(CVPR 2021) › Read and Attend: Temporal Localisation in Sign Language Videos
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(CVPRW 2021) › Sign Segmentation with Changepoint-Modulated Pseudo-Labelling
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(ICASSP 2021) › Sign Language Segmentation with Temporal Convolutional Networks
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(ICASSP 2021) › QUERYD: A Video Dataset with High-Quality Text and Audio Narrations
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(CVPR 2021) › Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval
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(AAAI 2021) › Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval
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(ACCV 2020) › Watch, read and lookup: learning to spot signs from multiple supervisors
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(ArXiv 2020) › Explaining the Adaptive Generalisation Gap
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(Livestock Science 2020) › Movement change detected by optical flow precedes, but does not predict, tail-biting in pigs
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(arXiv 2020) › Iterative Averaging in the Quest for Best Test Error
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(BMVC 2020) › Seeing wake words: Audio-visual Keyword Spotting
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(ECCV 2020) › BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues
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(ICASSP 2020) › Disentangled Speech Embeddings Using Cross-Modal Self-Supervision
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(ICCV 2019) › Unsupervised Learning of Landmarks by Descriptor Vector Exchange
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(ICCV 2019) › Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning
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(BMVC 2019) › Use What You Have: Video retrieval using representations from collaborative experts
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(TPAMI 2019) › Squeeze-and-Excitation Networks
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(NeurIPS 2018) › Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
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(ACM MM 2018) › Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
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(ECCV 2018) › Semi-convolutional Operators for Instance Segmentation
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(ECCV 2018) › Learnable PINs: Cross-Modal Embeddings for Person Identity
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(CVPR 2018) › Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
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(CVPR 2018) › Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching
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(NeurIPS-MLATL 2016) › Unknowable Manipulators: Social Network Curator Algorithms
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(BMVC 2016) › Learning Grimaces by Watching TV
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(Technical Report 2015) › Up-To-Date Malaria Mapping : Prediction From Remote Imagery
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