activity
20182025
most citedScale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation

15 citations · 15 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

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…