Zobrazeno 1 - 5
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pro vyhledávání: '"Zhang, Frederic Z."'
Autor:
Zhang, Jiahao, Zhang, Frederic Z., Rodriguez, Cristian, Ben-Shabat, Yizhak, Cherian, Anoop, Gould, Stephen
We study the challenging problem of simultaneously localizing a sequence of queries in the form of instructional diagrams in a video. This requires understanding not only the individual queries but also their interrelationships. However, most existin
Externí odkaz:
http://arxiv.org/abs/2407.12066
Autor:
Zhang, Frederic Z., Albert, Paul, Rodriguez-Opazo, Cristian, Hengel, Anton van den, Abbasnejad, Ehsan
Pre-trained models produce strong generic representations that can be adapted via fine-tuning. The learned weight difference relative to the pre-trained model, known as a task vector, characterises the direction and stride of fine-tuning. The signifi
Externí odkaz:
http://arxiv.org/abs/2407.02880
Recently, the DETR framework has emerged as the dominant approach for human--object interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are amongst the most performant and training-efficient approaches. However, these
Externí odkaz:
http://arxiv.org/abs/2308.06202
Recent developments in transformer models for visual data have led to significant improvements in recognition and detection tasks. In particular, using learnable queries in place of region proposals has given rise to a new class of one-stage detectio
Externí odkaz:
http://arxiv.org/abs/2112.01838
We address the problem of detecting human-object interactions in images using graphical neural networks. Unlike conventional methods, where nodes send scaled but otherwise identical messages to each of their neighbours, we propose to condition messag
Externí odkaz:
http://arxiv.org/abs/2012.06060