Lecture 20 - OWLv2: Scaling Open-Vocabulary Object Detection

Lecture 21 - Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Lecture 19 - CM3Leon: Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

YOLO11 Custom Object Detection

Presentation - CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

BrAINs seminar: Edge-Copying Random Hypergraphs

Presentation - A controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Hu

Lecture 22 - FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Presentation - Real-Time Monitoring of User Stress, Heart Rate, and Heart Rate Variability on Mobile

P. Tirupattur-Video Action Understanding: Action Classification, Temporal Localization and Detection

PaliGemma by Google: Train Model on Custom Detection Dataset

Presentation - Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation

MSD CoP Webinar: Accounting for distributive justice in model-based decision support

MIT Introduction to Deep Learning (2023) | 6.S191

2024 Honors Thesis Defense

Presentation - Self-Supervised Pre-training for Nuclei Segmentation

11. Introduction to Machine Learning

Presentation - Self-Supervised Pre-Training of Swim Transformers for 3D Medical Image Analysis

Xiuye Gu: Open-Vocabulary Detection and Segmentation

Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn

YOLOv9 on custom dataset | Object detection using YOLOv9