computer-vision

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting [CVPPA: ICCVW 2025]

RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark (ECCV 2024)

A tool to streamline AI image captioning

Multimodal datasets.

Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator

Fine-tuned Qwen2-VL-7B for LaTeX OCR using LoRA and Unsloth on the LaTeX OCR dataset. Built augmentation pipeline (rotation, noise, contrast jitter), ran LoRA rank sweep (r=8/16/32), and evaluated across CER, Token F1, BLEU-4, and Exact Match. Deployed as a Gradio Space with live metric computation.

🔥 (SIGGRAPH 2026) 3D-aware hairstyle transfer for images: in-context bald conversion, pose-aligned hair import, and identity-preserving synthesis.

This source code implements our ECCV paper "task-conditioned domain adaptation for pedestrian detection in thermal imagery".

AI company, product, and tool collection.

High-accuracy Russian ANPR system built with YOLOv8 for detection and an optimized, custom-trained PyTorch CRNN for OCR.

Learning PyTorch through the D2L book. A series of notebooks for the same

Circuitry.ai is an open-source tool that combines computer vision and large language models to detect, analyze, and explain electronic circuit diagrams. It leverages YOLOv8 for component detection and LLaMA 3 for generating intelligent textual explanations of how the circuit works.

WeldFusionNet: Multimodal deep learning for automated weld defect classification using sensor, audio, and video data (F1: 0.9567)

Multimodal AI studio powered by Qwen3.6-35B-A3B. End-to-end web app exposing visual reasoning, image captioning, and document understanding tools from a single model with side-by-side output across versions.

[2025] ModalFormer: Multimodal Transformer for Low-Light Image Enhancement

SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+

A set of jupyter notebooks

VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-grained localization and detection of visual inconsistencies across diverse image analysis tasks.

[CVPR 2025] This is the official implementation of Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation

Code for paper "Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation (ECCV 2024)"