activity
20082023
most citedFaster and better: a machine learning approach to corner detection

1.9k citations · 2.6k across the 51 of their papers we have counts for

collaborators

59 papers

cs.CV2023

Long-Term Prediction of Natural Video Sequences with Robust Video Predictors

Luke Ditria, Tom Drummond

Predicting high dimensional video sequences is a curiously difficult problem. The number of possible futures for a given video sequence grows exponentially over time due to uncerta…

cs.MM2023

Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs

Luke Ditria, Tom Drummond

Generative models have seen an explosion in popularity with the release of huge generative Diffusion models like Midjourney and Stable Diffusion to the public. Because of this new…

cs.RO2023★ 6 cited

Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems

Bryce Ferenczi, Michael Burke, Tom Drummond

This work introduces a novel and adaptable architecture designed for real-time occupancy forecasting that outperforms existing state-of-the-art models on the Waymo Open Motion Data…

cs.CV2023

Knowledge Combination to Learn Rotated Detection Without Rotated Annotation

Tianyu Zhu, Bryce Ferenczi, Pulak Purkait +3

Rotated bounding boxes drastically reduce output ambiguity of elongated objects, making it superior to axis-aligned bounding boxes. Despite the effectiveness, rotated detectors are…

cs.CV2022

Multimorbidity Content-Based Medical Image Retrieval Using Proxies

Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi +2

Content-based medical image retrieval is an important diagnostic tool that improves the explainability of computer-aided diagnosis systems and provides decision making support to h…

cs.CV2022

A Differentiable Distance Approximation for Fairer Image Classification

Nicholas Rosa, Tom Drummond, Mehrtash Harandi

Naively trained AI models can be heavily biased. This can be particularly problematic when the biases involve legally or morally protected attributes such as ethnic background, age…