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Abdul Hannan

3 accepted papers

2026

DISTILLATION-BASED LAYER DROPPING (DLD): EFFECTIVE END-TO-END FRAMEWORK FOR DYNAMIC SPEECH NETWORKS

ICASSP 2026poster

Edge devices operate in constrained and varying resource settings, requiring dynamic architectures that can adapt to limitations of the available resources. To meet such demands, layer dropping ($\mathcal{LD}$) approach is typically used to transform static models into dynamic ones by skipping parts…

Cited by 0SourcePDFScholar
2026

RFOP: Rethinking Fusion and Orthogonal Projection for Face-Voice Association

ICASSP 2026poster

Face-voice association in multilingual environment challenge 2026 aims to investigate the face-voice association task in multilingual scenario. The challenge introduces English-German face-voice pairs to be utilized in the evaluation phase. To this end, we revisit the fusion and orthogonal projectio…

Cited by 0SourcePDFScholar
2026

Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background

ICML 2026poster

Rapid expansion of urban areas and population growth is causing an immense increase in waste production, which demands the need for efficient and automated waste management. In this scenario, automated waste recycling (AWR) that utilizes deep learning methods to separate the recyclable waste objects…

Cited by 0SourceScholar