13 citations · 19 across the 8 of their papers we have counts for
8 papers · 1 filter
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality
Mohamed Elmoghany, Ryan Rossi, Seunghyun Yoon +26
Despite the significant progress that has been made in video generative models, existing state-of-the-art methods can only produce videos lasting 5-16 seconds, often labeled "long-…
InfiniBench: A Benchmark for Large Multi-Modal Models in Long-Form Movies and TV Shows
Kirolos Ataallah, Eslam Abdelrahman, Mahmoud Ahmed +4
Understanding long-form videos, such as movies and TV episodes ranging from tens of minutes to two hours, remains a significant challenge for multi-modal models. Existing benchmark…
Kestrel: 3D Multimodal LLM for Part-Aware Grounded Description
Mahmoud Ahmed, Junjie Fei, Jian Ding +2
In this paper, we introduce Part-Aware Point Grounded Description (PaPGD), a challenging task aimed at advancing 3D multimodal learning for fine-grained, part-aware segmentation gr…
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Eslam Abdelrahman, Mohamed Ayman, Mahmoud Ahmed +2
3D visual grounding is the ability to localize objects in 3D scenes conditioned by utterances. Most existing methods devote the referring head to localize the referred object direc…
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
Eslam Mohamed Bakr, Pengzhan Sun, Xiaoqian Shen +3
In recent years, Text-to-Image (T2I) models have been extensively studied, especially with the emergence of diffusion models that achieve state-of-the-art results on T2I synthesis…
ImageCaptioner: Image Captioner for Image Captioning Bias Amplification Assessment
Eslam Mohamed Bakr, Pengzhan Sun, Li Erran Li +1
Most pre-trained learning systems are known to suffer from bias, which typically emerges from the data, the model, or both. Measuring and quantifying bias and its sources is a chal…
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding
Eslam Mohamed Bakr, Yasmeen Alsaedy, Mohamed Elhoseiny
The 3D visual grounding task has been explored with visual and language streams comprehending referential language to identify target objects in 3D scenes. However, most existing m…
PKCAM: Previous Knowledge Channel Attention Module
Eslam Mohamed Bakr, Ahmad El Sallab, Mohsen A. Rashwan
Recently, attention mechanisms have been explored with ConvNets, both across the spatial and channel dimensions. However, from our knowledge, all the existing methods devote the at…