1 citations · 1 across the 5 of their papers we have counts for
4 papers · 1 filter
GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization
Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson +3
With the increasing quality and spread of LLM assistants, the amount of generated content is growing rapidly. In many cases and tasks, such texts are already indistinguishable from…
Saliency-Guided DETR for Moment Retrieval and Highlight Detection
Aleksandr Gordeev, Vladimir Dokholyan, Irina Tolstykh +1
Existing approaches for video moment retrieval and highlight detection are not able to align text and video features efficiently, resulting in unsatisfying performance and limited…
CerberusDet: Unified Multi-Dataset Object Detection
Irina Tolstykh, Mikhail Chernyshov, Maksim Kuprashevich
Conventional object detection models are usually limited by the data on which they were trained and by the category logic they define. With the recent rise of Language-Visual Model…
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Maksim Kuprashevich, Grigorii Alekseenko, Irina Tolstykh
Multimodal Large Language Models (MLLMs) have recently gained immense popularity. Powerful commercial models like ChatGPT-4V and Gemini, as well as open-source ones such as LLaVA,…