6 citations · 11 across the 4 of their papers we have counts for
5 papers
Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers
Dean L Slack, G Thomas Hudson, Thomas Winterbottom +1
Inspired by the performance and scalability of autoregressive large language models (LLMs), transformer-based models have seen recent success in the visual domain. This study inves…
The Power of Next-Frame Prediction for Learning Physical Laws
Thomas Winterbottom, G. Thomas Hudson, Daniel Kluvanec +6
Next-frame prediction is a useful and powerful method for modelling and understanding the dynamics of video data. Inspired by the empirical success of causal language modelling and…
Trying Bilinear Pooling in Video-QA
Thomas Winterbottom, Sarah Xiao, Alistair McLean +1
Bilinear pooling (BLP) refers to a family of operations recently developed for fusing features from different modalities predominantly developed for VQA models. A bilinear (outer-p…
On Modality Bias in the TVQA Dataset
Thomas Winterbottom, Sarah Xiao, Alistair McLean +1
TVQA is a large scale video question answering (video-QA) dataset based on popular TV shows. The questions were specifically designed to require "both vision and language understan…
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models
Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed +1
We consider the task of incorporating real-world commonsense knowledge into deep Natural Language Inference (NLI) models. Existing external knowledge incorporation methods are limi…