activity
20212026
most citedA Thorough Review on Recent Deep Learning Methodologies for Image Captioning

19 citations · 25 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs

Yi Tang, Xinyi Shang, Jiacheng Cui +12

Modern vision-language models (VLMs) have significantly improved image generation and editing capabilities, making pixel-level image tampering detection increasingly important yet…

cs.CL2026

Operation-Guided Progressive Human-to-AI Text Transformation Benchmark for Multi-Granularity AI-Text Detection

Sondos Mahmoud Bsharat, Jiacheng Liu, Xiaohan Zhao +9

As AI writing assistants become increasingly integrated into real-world drafting and revision workflows, many documents are no longer purely human-written or AI-generated, but inst…

cs.CV2026

From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering

Xinyi Shang, Yi Tang, Jiacheng Cui +9

Existing tampering detection benchmarks largely rely on object masks, which severely misalign with the true edit signal: many pixels inside a mask are untouched or only trivially m…

cs.CV2025

OD3: Optimization-free Dataset Distillation for Object Detection

Salwa K. Al Khatib, Ahmed ElHagry, Shitong Shao +1

Training large neural networks on large-scale datasets requires substantial computational resources, particularly for dense prediction tasks such as object detection. Although data…

cs.CV2025

Knowledge Consultation for Semi-Supervised Semantic Segmentation

Thuan Than, Nhat-Anh Nguyen-Dang, Dung Nguyen +7

Semi-Supervised Semantic Segmentation reduces reliance on extensive annotations by using unlabeled data and state-of-the-art models to improve overall performance. Despite the succ…

cs.CV2022★ 1 cited

Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images

Ahmed Elhagry, Mohamed Saeed

While object detection is a common problem in computer vision, it is even more challenging when dealing with aerial satellite images. The variety in object scales and orientations…

cs.CV2021★ 4 cited

Egyptian Sign Language Recognition Using CNN and LSTM

Ahmed Elhagry, Rawan Glalal Elrayes

Sign language is a set of gestures that deaf people use to communicate. Unfortunately, normal people don't understand it, which creates a communication gap that needs to be filled.…

cs.CV2021★ 1 cited

Lighter Stacked Hourglass Human Pose Estimation

Ahmed Elhagry, Mohamed Saeed, Musie Araia

Human pose estimation (HPE) is one of the most challenging tasks in computer vision as humans are deformable by nature and thus their pose has so much variance. HPE aims to correct…

cs.CV2021★ 19 cited

A Thorough Review on Recent Deep Learning Methodologies for Image Captioning

Ahmed Elhagry, Karima Kadaoui

Image Captioning is a task that combines computer vision and natural language processing, where it aims to generate descriptive legends for images. It is a two-fold process relying…

cs.CV2021

Experimenting with Self-Supervision using Rotation Prediction for Image Captioning

Ahmed Elhagry, Karima Kadaoui

Image captioning is a task in the field of Artificial Intelligence that merges between computer vision and natural language processing. It is responsible for generating legends tha…