03:32

EMBA: Event-based Mosaicing Bundle Adjustment (ECCV 2024)

03:41

On the Benefits of Visual Stabilization for Frame- and Event-based Perception (RA-L 2024)

01:03

ES-PTAM: Event-based Stereo Parallel Tracking and Mapping (ECCVW 2024)

04:25

Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation (ECCV 2024)

01:50

CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Max (TRO)

05:14

Event based Background-Oriented Schlieren (TPAMI 2023) (5 min)

03:11

Event Penguins: Low-power, Continuous Remote Behavioral Localization with Event Cameras (CVPR 2024)

01:22

Event based Background-Oriented Schlieren (TPAMI 2023)

01:13

A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework

14:01

イベントカメラを用いたオプティカルフロー推定：動きとは何か？ (ViEW 2022)

03:07

Event-based Stereo Depth for SLAM in Autonomous Driving (BADUE Workshop at IROS 2022)

04:28

Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events Fusion (AISY 2022)

03:35

Secrets of Event-Based Optical Flow (ECCV 2022, Oral)

00:51

Exercise 5: result of spatial convolutions on real event data (bicycle sequence)

00:22

Exercise 7: panoramic image reconstruction with a rotating event camera (i.e., Mosaicing)

11:54

Event cameras: Sampling in time vs in range

47:16

Event-based Optical Flow: model-based methods

15:46

Feature Detection and Tracking with a DAVIS

00:12

Exercise 4: event integrator (ordinary or "direct" integrator)

18:31

Methods of Event Processing

14:22

Image Reconstruction - Discussion

20:01

Three main event camera designs

09:22

Event-based cameras: Advantages, Disadvantages and Challenges

13:10

Comparison of five event-based feature trackers

13:45

Event Generation Models

11:16

Tracking motion-compensated event features

15:06

Image Reconstruction Methods 2018 - 2020.05

19:21

Tracking blobs of events. Ingredients of the per-event processing paradigm

29:04

Event-based Optical Flow: learning-based methods and comparison

11:13

Color event cameras

09:32

Event cameras: High Dynamic Range (HDR)

11:24

Image Reconstruction - Timeline

08:03

Image Reconstruction from events - Direct Integration

00:26

Exercise 7: panoramic image reconstruction with a rotating event camera (Mosaicing)

15:11

Optical Flow: Frame-based vs Event-based

11:18

Event cameras: Bio-inspired motivation - the visual pathways

10:41

Event camera companies and devices (2020.04.27)

01:32

Exercise 5: result of spatial convolutions on synthetic event data

21:15

Image reconstruction - Case Study BMVC 2014

26:47

Intro to the course Event-based Robot Vision (2020.04.21) at TU Berlin

28:04

Event-based Data Representation

01:04

Exercise 3: setting up the event visualizer (dvs_displayer)

01:00

Exercise 5: result of spatial convolutions on real event data (slider_depth sequence)

11:08

How to acquire visual information?

18:56

Image Reconstruction Methods 2016-2017

12:28

Image Reconstruction Methods 2011-2014

23:18

Data Association and EKLT tracker

15:34

Tracking user-defined shapes with point sets

24:33

Introduction to optical flow

00:12

Exercise 4: event integrator ("leaky" integrator)

09:00

Frame- vs Event-based cameras - the curious case of the spinning dot