Open-world text-specified object counting by Amini-Naieni, N, Amini-Naieni, K, Han, T, Zisserman, A

“…Our objective is open-world object counting in images, where the target object class is specified by a text description. …”

Lip Reading Sentences in the Wild by Chung, J, Senior, A, Vinyals, O, Zisserman, A

“…Unlike previous works that have focussed on recognising a limited number of words or phrases, we tackle lip reading as an open-world problem – unconstrained natural language sentences, and in the wild videos. …”

Deep audio-visual speech recognition by Afouras, T, Chung, J, Senior, A, Vinyals, O, Zisserman, A

“…Unlike previous works that have focussed on recognising a limited number of words or phrases, we tackle lip reading as an open-world problem -- unconstrained natural language sentences, and in the wild videos. …”

Generalized category discovery by Vaze, S, Han, K, Vedaldi, A, Zisserman, A

“…Next, we propose the use of vision transformers with contrastive representation learning for this open-world setting. We then introduce a simple yet effective semi-supervised k-means method to cluster the unlabelled data into seen and unseen classes automatically, substantially outperforming the baselines. …”