activity
20202026
most citedExploring Extended Reality with ILLIXR: A New Playground for Architecture Research

16 citations · 19 across the 12 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval

Muhammad Huzaifa, Yova Kementchedjhieva

Text-to-image retrieval is a critical task for managing diverse visual content, but common benchmarks for the task rely on small, single-domain datasets that fail to capture real-w…

cs.RO2024

An Integrated Approach to Robotic Object Grasping and Manipulation

Owais Ahmed, M Huzaifa, M Areeb +1

In response to the growing challenges of manual labor and efficiency in warehouse operations, Amazon has embarked on a significant transformation by incorporating robotics to assis…

cs.CV2024

Towards Energy-Efficiency by Navigating the Trilemma of Energy, Latency, and Accuracy

Boyuan Tian, Yihan Pang, Muhammad Huzaifa +2

Extended Reality (XR) enables immersive experiences through untethered headsets but suffers from stringent battery and resource constraints. Energy-efficient design is crucial to e…

cs.CV2024

Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models

Raza Imam, Hanan Gani, Muhammad Huzaifa +1

The conventional modus operandi for adapting pre-trained vision-language models (VLMs) during test-time involves tuning learnable prompts, ie, test-time prompt tuning. This paper i…

cs.CV2024

ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes

Hashmat Shadab Malik, Muhammad Huzaifa, Muzammal Naseer +2

Given the large-scale multi-modal training of recent vision-based models and their generalization capabilities, understanding the extent of their robustness is critical for their r…

cs.CV2024

Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm Surveillance

Raza Imam, Muhammad Huzaifa, Nabil Mansour +2

In this study, we propose an automated framework for camel farm monitoring, introducing two key contributions: the Unified Auto-Annotation framework and the Fine-Tune Distillation…