273 citations · 292 across the 42 of their papers we have counts for
6 papers · 1 filter
Perception Test 2023: A Summary of the First Challenge And Outcome
Joseph Heyward, João Carreira, Dima Damen +2
The First Perception Test challenge was held as a half-day workshop alongside the IEEE/CVF International Conference on Computer Vision (ICCV) 2023, with the goal of benchmarking st…
Amodal Ground Truth and Completion in the Wild
Guanqi Zhan, Chuanxia Zheng, Weidi Xie +1
This paper studies amodal image segmentation: predicting entire object segmentation masks including both visible and invisible (occluded) parts. In previous work, the amodal segmen…
Appearance-Based Refinement for Object-Centric Motion Segmentation
Junyu Xie, Weidi Xie, Andrew Zisserman
The goal of this paper is to discover, segment, and track independently moving objects in complex visual scenes. Previous approaches have explored the use of optical flow for motio…
AutoAD II: The Sequel -- Who, When, and What in Movie Audio Description
Tengda Han, Max Bain, Arsha Nagrani +3
Audio Description (AD) is the task of generating descriptions of visual content, at suitable time intervals, for the benefit of visually impaired audiences. For movies, this presen…
A General Protocol to Probe Large Vision Models for 3D Physical Understanding
Guanqi Zhan, Chuanxia Zheng, Weidi Xie +1
Our objective in this paper is to probe large vision models to determine to what extent they 'understand' different physical properties of the 3D scene depicted in an image. To thi…
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model
Chuhan Zhang, Ankush Gupta, Andrew Zisserman
We introduce an object-aware decoder for improving the performance of spatio-temporal representations on ego-centric videos. The key idea is to enhance object-awareness during trai…