2 citations · 3 across the 5 of their papers we have counts for
5 papers
Whareformer: Learning to Track What is Where in Long Egocentric Videos
Jacob Chalk, Saptarshi Sinha, Dima Damen +2
The recently established 'Out of Sight, Not out of Mind' (OSNOM) task for egocentric videos focuses on tracking objects that are moved by the camera wearer, online, maintaining kno…
Prime and Reach: Synthesising Body Motion for Gaze-Primed Object Reach
Masashi Hatano, Saptarshi Sinha, Jacob Chalk +3
Human motion generation is a challenging task that aims to create realistic motion imitating natural human behaviour. We focus on the well-studied behaviour of priming an object/lo…
HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha +16
We present a validation dataset of newly-collected kitchen-based egocentric videos, manually annotated with highly detailed and interconnected ground-truth labels covering: recipe…
Every Shot Counts: Using Exemplars for Repetition Counting in Videos
Saptarshi Sinha, Alexandros Stergiou, Dima Damen
Video repetition counting infers the number of repetitions of recurring actions or motion within a video. We propose an exemplar-based approach that discovers visual correspondence…
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detection
Onkar Krishna, Hiroki Ohashi, Saptarshi Sinha
Cross-domain object detection is challenging, and it involves aligning labeled source and unlabeled target domains. Previous approaches have used adversarial training to align feat…