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Yihalem Yimolal Tiruneh

4 accepted papers

2026

HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models

CVPR 2026

Understanding the fine-grained articulation of human hands is critical in high-stakes settings such as robot-assisted surgery, chip manufacturing, and AR/VR-based human-AI interaction. Despite achieving near-human performance on general vision-language benchmarks, current vision-language models (VLM

Cited by 0SourceScholar
2025

QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects

AAAI 2025technical

Significant advancements have been achieved in the realm of understanding poses and interactions of two hands manipulating an object. The emergence of augmented reality (AR) and virtual reality (VR) technologies has heightened the demand for real-time performance in these applications. However, curr…

Cited by 1SourcePDFScholar
2024

Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy

ICASSP 2024accepted

Class incremental learning aims to solve a problem that arises when continuously adding unseen class instances to an existing model This approach has been extensively studied in the context of image classification; however its applicability to object detection is not well established yet. Existing f…

Cited by 0SourceScholar
2024

SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection

CVPR 2024highlight

In the field of class incremental learning (CIL) generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting alongside the continuous improvements in generative models. However its application in class incremental object detection (CIOD) has been significa…

Cited by 28SourcePDFScholar