12 citations · 21 across the 9 of their papers we have counts for
9 papers
Cultural Moment Benchmark: Evaluating Video Cultural Reasoning and Grounding in Southeast Asia
Burak Satar, Zhixin Ma, Cheng Yu-Tong +3
Cultural understanding in video means more than recognizing what is visible; it requires grasping the symbolic and temporal significance of cultural concepts. We decompose this int…
Seeing Culture: A Benchmark for Visual Reasoning and Grounding
Burak Satar, Zhixin Ma, Patrick A. Irawan +4
Multimodal vision-language models (VLMs) have made substantial progress in various tasks that require a combined understanding of visual and textual content, particularly in cultur…
VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting
Muhammet Furkan Ilaslan, Ali Koksal, Kevin Qinhong Lin +3
Large Language Model (LLM)-based agents have shown promise in procedural tasks, but the potential of multimodal instructions augmented by texts and videos to assist users remains u…
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention
Burak Satar, Hongyuan Zhu, Hanwang Zhang +1
Many studies focus on improving pretraining or developing new backbones in text-video retrieval. However, existing methods may suffer from the learning and inference bias issue, as…
An Overview of Challenges in Egocentric Text-Video Retrieval
Burak Satar, Hongyuan Zhu, Hanwang Zhang +1
Text-video retrieval contains various challenges, including biases coming from diverse sources. We highlight some of them supported by illustrations to open a discussion. Besides,…
Semantic Role Aware Correlation Transformer for Text to Video Retrieval
Burak Satar, Hongyuan Zhu, Xavier Bresson +1
With the emergence of social media, voluminous video clips are uploaded every day, and retrieving the most relevant visual content with a language query becomes critical. Most appr…
RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video Retrieval
Burak Satar, Hongyuan Zhu, Hanwang Zhang +1
Seas of videos are uploaded daily with the popularity of social channels; thus, retrieving the most related video contents with user textual queries plays a more crucial role. Most…
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022
Burak Satar, Hongyuan Zhu, Hanwang Zhang +1
In this report, we present our approach for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022. We first parse sentences into semantic roles corresponding to verbs and nouns…
Deep Learning Based Vehicle Make-Model Classification
Burak Satar, Ahmet Emir Dirik
This paper studies the problems of vehicle make & model classification. Some of the main challenges are reaching high classification accuracy and reducing the annotation time of th…