activity
20162023
most citedVideoLSTM Convolves, Attends and Flows for Action Recognition

64 citations · 294 across the 33 of their papers we have counts for

collaborators

54 papers

cs.CV2023

Query by Activity Video in the Wild

Tao Hu, William Thong, Pascal Mettes +1

This paper focuses on activity retrieval from a video query in an imbalanced scenario. In current query-by-activity-video literature, a common assumption is that all activities hav…

cs.LG202219 cited

Variational Model Perturbation for Source-Free Domain Adaptation

Mengmeng Jing, Xiantong Zhen, Jingjing Li +1

We aim for source-free domain adaptation, where the task is to deploy a model pre-trained on source domains to target domains. The challenges stem from the distribution shift from…

cs.CV20222 cited

Association Graph Learning for Multi-Task Classification with Category Shifts

Jiayi Shen, Zehao Xiao, Xiantong Zhen +2

In this paper, we focus on multi-task classification, where related classification tasks share the same label space and are learned simultaneously. In particular, we tackle a new s…

cs.CV2022

Less than Few: Self-Shot Video Instance Segmentation

Pengwan Yang, Yuki M. Asano, Pascal Mettes +1

The goal of this paper is to bypass the need for labelled examples in few-shot video understanding at run time. While proven effective, in many practical video settings even labell…

cs.CV2022

Audio-Adaptive Activity Recognition Across Video Domains

Yunhua Zhang, Hazel Doughty, Ling Shao +1

This paper strives for activity recognition under domain shift, for example caused by change of scenery or camera viewpoint. The leading approaches reduce the shift in activity app…

cs.LG20225 cited

Learning to Generalize across Domains on Single Test Samples

Zehao Xiao, Xiantong Zhen, Ling Shao +1

We strive to learn a model from a set of source domains that generalizes well to unseen target domains. The main challenge in such a domain generalization scenario is the unavailab…