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Abdelrahman Mohamed

Identifiers

  • name variant Abdelrahman Mohamed 0.60 · backfill

Papers (60)

  1. iLRM: An Iterative Large 3D Reconstruction Model cs.CV · 2025 · author #6
  2. The Devil is in the EOS: Sequence Training for Detailed Image Captioning cs.CV · 2025 · author #1
  3. VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation eess.AS · 2025 · author #3
  4. JEEM: Vision-Language Understanding in Four Arabic Dialects cs.CL · 2025 · author #4
  5. Casablanca: Data and Models for Multidialectal Arabic Speech Recognition cs.CL · 2024 · author #14
  6. fCOP: Focal Length Estimation from Category-level Object Priors cs.CV · 2024 · author #4
  7. A Large-Scale Evaluation of Speech Foundation Models eess.AS · 2024 · author #19
  8. VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild eess.AS · 2024 · author #4
  9. Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks cs.CL · 2024 · author #4
  10. SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering cs.CL · 2024 · author #6
  11. Violet: A Vision-Language Model for Arabic Image Captioning with Gemini Decoder cs.CV · 2023 · author #1
  12. SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERT cs.CL · 2023 · author #2
  13. Self-Supervised Models of Speech Infer Universal Articulatory Kinematics eess.AS · 2023 · author #2
  14. Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond cs.SD · 2023 · author #11
  15. Low-Resource Self-Supervised Learning with SSL-Enhanced TTS eess.AS · 2023 · author #9
  16. AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models eess.AS · 2023 · author #17
  17. Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model eess.AS · 2023 · author #4
  18. ML-SUPERB: Multilingual Speech Universal PERformance Benchmark cs.SD · 2023 · author #9
  19. Efficient Speech Representation Learning with Low-Bit Quantization eess.AS · 2022 · author #4
  20. Continual Learning for On-Device Speech Recognition using Disentangled Conformers eess.AS · 2022 · author #7
  21. Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities cs.CL · 2022 · author #5
  22. Biased Self-supervised learning for ASR cs.CL · 2022 · author #5
  23. Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech eess.AS · 2022 · author #3
  24. SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning cs.CL · 2022 · author #12
  25. D3Former: Debiased Dual Distilled Transformer for Incremental Learning cs.CV · 2022 · author #1
  26. STOP: A dataset for Spoken Task Oriented Semantic Parsing cs.CL · 2022 · author #15
  27. DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon cs.CL · 2022 · author #6
  28. LegoNN: Building Modular Encoder-Decoder Models cs.CL · 2022 · author #8
  29. Self-Supervised Speech Representation Learning: A Review cs.CL · 2022 · author #1
  30. Learning Lip-Based Audio-Visual Speaker Embeddings with AV-HuBERT eess.AS · 2022 · author #2
  31. Unified Speech-Text Pre-training for Speech Translation and Recognition cs.CL · 2022 · author #9
  32. Federated Learning with Partial Model Personalization cs.LG · 2022 · author #3
  33. Generative Spoken Dialogue Language Modeling cs.CL · 2022 · author #10
  34. SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities cs.CL · 2022 · author #16
  35. DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering cs.CL · 2022 · author #8
  36. textless-lib: a Library for Textless Spoken Language Processing cs.CL · 2022 · author #9
  37. Object Detection in Aerial Images: What Improves the Accuracy? cs.CV · 2022 · author #3
  38. Robust Self-Supervised Audio-Visual Speech Recognition cs.SD · 2022 · author #3
  39. Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction eess.AS · 2022 · author #4
  40. Textless Speech Emotion Conversion using Discrete and Decomposed Representations cs.CL · 2021 · author #8
  41. Scaling ASR Improves Zero and Few Shot Learning cs.CL · 2021 · author #9
  42. Text-Free Prosody-Aware Generative Spoken Language Modeling cs.CL · 2021 · author #9
  43. Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition eess.AS · 2021 · author #8
  44. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units cs.CL · 2021 · author #6
  45. SUPERB: Speech processing Universal PERformance Benchmark cs.CL · 2021 · author #19
  46. Speech Resynthesis from Discrete Disentangled Self-Supervised Representations cs.SD · 2021 · author #7
  47. Contrastive Semi-supervised Learning for ASR cs.CL · 2021 · author #3
  48. The Obata first eigenvalue theorems on a seven dimensional quaternionic contact manifold math.DG · 2020 · author #1
  49. Unsupervised Cross-lingual Representation Learning for Speech Recognition cs.CL · 2020 · author #4
  50. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations cs.CL · 2020 · author #3
  51. Large scale weakly and semi-supervised learning for low-resource video ASR eess.AS · 2020 · author #10
  52. Libri-Light: A Benchmark for ASR with Limited or No Supervision cs.CL · 2019 · author #14
  53. Effectiveness of self-supervised pre-training for speech recognition cs.CL · 2019 · author #3
  54. Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models cs.CL · 2019 · author #2
  55. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cs.CL · 2019 · author #5
  56. Training ASR models by Generation of Contextual Information cs.CL · 2019 · author #11
  57. Transformer-based Acoustic Modeling for Hybrid Speech Recognition cs.CL · 2019 · author #2
  58. Transformers with convolutional context for ASR cs.CL · 2019 · author #1
  59. Sequence Modeling via Segmentations stat.ML · 2017 · author #4
  60. Do Deep Convolutional Nets Really Need to be Deep and Convolutional? stat.ML · 2016 · author #7

Mentions

  • 2507.20077 #1 · arxiv_oai · confidence 0.70 Abdelrahman Mohamed
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  • 2012.15767 #1 · arxiv_oai · confidence 0.70 Abdelrahman Mohamed
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  • 2006.13979 #4 · arxiv_oai · confidence 0.70 Abdelrahman Mohamed
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Frequent Coauthors