12:29

Enhancing Autonomous Precision Landing of UAVs with Detection-Informed Deep Reinforcement Learning

16:27

CARAMEL webinar - Detection and Mitigation of Camera Sensors Attacks on Autonomous Vehicles

01:45

A Deep Learning Approach Towards Camera Attack Detection in Autonomous Vehicles

00:54

AirCamRTM: Enhancing Vehicle Detection for Efficient Aerial Camera-based Road Traffic Monitoring

01:51

C^3Net: End-to-End Deep Learning for Efficient Real-Time Visual Active Camera Control

02:36

YOLOPeds: Efficient Single-Shot Pedestrian Detection for Smart Camera Applications

04:54

DriveGuard: A deep learning technique for countering camera attacks against autonomous vehicles

14:39

Imitation-Based Active Camera Control with Deep Convolutional Neural Network

30:38

Efficient Deep Vision for Aerial Visual Understanding (RCML2020 Talk)

01:13:18

Lecture 17: Selected Topics in Deep Learning and Computer Vision

01:06:48

Lecture 16: Generative Models and Adversarial Learning (Part 2)

41:08

Lecture 16: Generative Models and Adversarial Learning (Part 1)

53:41

Lecture 15: Deep Learning - Semantic Segmentation (Part 2)

51:36

Lecture 15: Deep Learning - Semantic Segmentation (Part 1)

51:45

Lecture 14: Deep Learning - Object Detection (Part 1)

51:53

Lecture 14: Deep Learning - Object Detection (Part 2)

53:13

Lecture 13: Classification with Convolutional Neural Networks (Part 2)

42:01

Lecture 13: Classification with Convolutional Neural Networks (Part 1)

14:54

Towards artificial-intelligence-based cybersecurity against camera sensor attacks

58:53

Lecture 12: Introduction to Neural Networks (Part 2)

57:52

Lecture 12 - Introduction to Neural Networks (Part 1)

01:40

EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring

01:55:55

Lecture 11: Machine Learning for VIsual Recognition

01:00

Informed Region Selection for Efficient UAV-based Object Detectors

00:28

Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing

00:16

Deep CNN for Emergency Response: Flood Recognition

03:47

xYOLO - Car and Pedestrian Detection with Deep Learning

01:18

LANE VEHICLE COUNTING FROM A UAV

00:35

Optimized Vision-Directed Deployment of UAVs for Rapid Traffic Monitoring

01:05

Optimizing Multi-Target Detection in Stochastic Environments with Active Smart Camera Networks

01:04

UDACITY SDCE Nanodegree Term 3— Project 2: Advanced Deep Learning and Semantic Segmentation

19:50

UDACITY SDCE Nanodegree Term 3— Project 1: Path Planning

02:49

Deep Convolutional Neural Network Classifier for Car Detection from a UAV

01:00

Rapid object detection in autonomous vehicles using MobileNet Deep CNN

02:24

UDACITY SDCE Nanodegree - Project 5 (Term 2): Model Predictive Control in C++

01:07

UDACITY SDCE Nanodegree - Project 3 (Term 2): Localization with Particle Filters in C++

03:29

UDACITY SDCE Nanodegree - Project 4 (Term 2): PID controller for self-driving vehicles in C++

00:55

UDACITY SDCE Nanodegree - Project 1 (Term 2): Implementation of the extended Kalman filter in C++

00:51

UDACITY SDCE Nanodegree - Project 5: Vehicle Detection

00:51

UDACITY SDCE Nanodegree - Project 4: Advanced Lane Finding

01:10

Monitoring a Building Lobby with Smart Camera Networks

05:02

UDACITY SDCE Nanodegree - Project 3: Behavioural Cloning

00:23

Infrared Car Dash Cam Video detected lanes

00:11

UDACITY SDCE Nanodegree - Project 1: Lane Detection

01:38

Smart Camera Networks - Research and Experimental Setup

01:35

Real-Time Car Tracking

01:01

Car Detection on Raspberry Pi Smart Camera with OpenCV

01:38

Object Recognition with Drones - Researchers Night 2016

01:15

Real Time Object Detection using Drones

01:56

Real Time Object Measuring System on Raspberry Pi and OpenCV

00:40

Real Time Object Detection on Android

00:21

Camera Network Simulator

00:57

Computer Eye Cam

04:38

Demonstration of Real Time Computer Vision Algorithms on FPGA platform

00:25

Face Detection Demo on FPGA

02:51

Coin Recognition Demo