A Deep Learning and Data Science Enthusiast

• 1st atDeep Chimpact: Depth Estimation for Wildlife Conservation
• 1st(Jointly) atKaggleDays x ZbyHP Championship Meetup in Shanghai
• 1st (Student Team) & 4th atSIIM-FISABIO-RSNA COVID-19 Detection
• 1st atIEEE SP CUP 2022
• 1st atDhaka-AI 2020: Dhaka Traffic Detection
• 2nd atIEEE VIP CUP 2020: Real-time vehicle detection and tracking at junction using a fisheye camera
• 25th atNFL Impact Detection
• 29th atBirdCLEF 2021 - Birdcall Identification
• 43th atVinBigData Chest X-ray Abnormalities Detection
• 159th atShopee - Price Match Guarantee
• 246th atCassava Leaf Disease Classification

• [CVPRW 2024]Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning
• [IEEE ICIP 2023]ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection
• Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs
• [Biomed. Signal Process. Control.]CIFF-Net: Contextual image feature fusion for Melanoma diagnosis
• [Comput. Biol. Med.]PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images

• Multimodal Deep Learning
• Large Language Models (LLMs)
• Image Processing
• Graph Neural Networks
• Contrastive Learning

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1. arxiv-CS-RAGarxiv-CS-RAGPublic

   Code for ArXiv CS RAG Huggingface Space: Generate scientific paper abstract embeddings using ColBERTv2 and ask questions

   Jupyter Notebook 1

2. artifactartifactPublic

   Forked fromawsaf49/artifact

   [ICIP 2023] ArtiFact: A Large-Scale Dataset with Artificial (Fake) and Factual (Real) Images for Generalizable and Robust Synthetic Image Detection

   Python

3. synattsynattPublic

   Forked fromawsaf49/synatt

   Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs

   Python

4. mldl-imldl-iPublic

   Forked fromawsaf49/mldl-i

   MLDL-I: Machine Learning and Deep Learning - I || Offered course at IRAB

   Jupyter Notebook