feature-embedding

(ECCV2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer

"Deep Metric Learning Meets DeepClustering: An Novel UnsupervisedApproach for Feature Embedding" (BMVC 2020)

The t-SNE visualization and actual query results of the deep feature embeddings for the paper "Supervised Deep Feature Embedding with Hand Crafted Feature" that has been accepted by the IEEE Transactions on Image Processing.

A framework for learning low dimensional representations of single-cell images, here applied in enrichment-free liquid biopsies

SVMax : A Feature Embedding Regularizer

Official Implementation of Link Prediction via Node Feature Initialization with LLMs (COLING: Industry Track 2025)

A high-performance Visual Product Recognition system for identifying products from images using a coarse-to-fine visual retrieval pipeline

FSE+Attention model for particle identification in ALICE (Pb-Pb Run 3) at CERN. State-of-the-art detector masking with 92.8% accuracy using JAX/Flax. Handles missing detector data through Feature Set Embedding + Multi-head Attention. Production-ready with Focal Loss, class weighting, and two-tier model persistence.

Unsupervised industrial surface defect detection using a one-class Deep Feature Memory Bank with ResNet-18, achieving 1.0000 ROC-AUC and 100% defect recall.

Production-style intent recognition system: transformer embeddings, multi-model inference (LR/SVC), offline STT, dynamic skill modules, and a full Streamlit demo UI. Fast, modular, and extensible. IN SHORT : Modular intent recognition engine with transformers, ML models, and real-time inference.

A multi-view spatio-temporal graph neural network for multimodal origin-destination (OD) travel demand prediction.

A deep learning project for similarity measurement and retrieval tasks using feature embeddings.

High level audio features for Javascript