activity
20172026
most citedEVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance

18 citations · 73 across the 28 of their papers we have counts for

collaborators

32 papers

cs.CL2026

Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks

Oline Ranum, Edward Fish, Simon Hadfield +1

BLEU-4 is the standard metric for evaluating sign language translation (SLT), but spoken-language metrics may not adequately reflect sign language proficiency. The multimodal, low-…

cs.CL2026

What's the Point? Spatial Grammar & Index Resolution for Sign Language Processing

Oline Ranum, Simon Hadfield, Richard Bowden

Sign language models are predominantly trained with gloss-sequence or text supervision, thereby under-modeling non-lexical and productive constructions. One comparatively tractable…

cs.CV2025

The Fourth Monocular Depth Estimation Challenge

Anton Obukhov, Matteo Poggi, Fabio Tosi +54

This paper presents the results of the fourth edition of the Monocular Depth Estimation Challenge (MDEC), which focuses on zero-shot generalization to the SYNS-Patches benchmark, a…

cs.CV2024

The Third Monocular Depth Estimation Challenge

Jaime Spencer, Fabio Tosi, Matteo Poggi +38

This paper discusses the results of the third edition of the Monocular Depth Estimation Challenge (MDEC). The challenge focuses on zero-shot generalization to the challenging SYNS-…

cs.CV2024

Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV

Jaime Spencer, Chris Russell, Simon Hadfield +1

Self-supervised learning is the key to unlocking generic computer vision systems. By eliminating the reliance on ground-truth annotations, it allows scaling to much larger data qua…

cs.CV2023

Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV

Jaime Spencer, Chris Russell, Simon Hadfield +1

Self-supervised monocular depth estimation (SS-MDE) has the potential to scale to vast quantities of data. Unfortunately, existing approaches limit themselves to the automotive dom…