Media Summary: [ECCV 2024] Continuous Memory Representation for Anomaly Detection Recovering the camera motion and scene geometry from visual data is a fundamental problem in computer vision. Its success in ... Presentation for the paper: Sukrut Rao*, Sweta Mahajan*, Moritz Böhle, Bernt Schiele. Discover-then-Name: Task-Agnostic ...

Eccv 2024 Aligning Neuronal Coding - Detailed Analysis & Overview

[ECCV 2024] Continuous Memory Representation for Anomaly Detection Recovering the camera motion and scene geometry from visual data is a fundamental problem in computer vision. Its success in ... Presentation for the paper: Sukrut Rao*, Sweta Mahajan*, Moritz Böhle, Bernt Schiele. Discover-then-Name: Task-Agnostic ... Point cloud registration is a foundational task for 3D Predicting a potential collision with leading vehicles is an essential functionality of any autonomous/assisted driving system. Teaser Video for the peer-reviewed research that will be presented at

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures We present ...

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[ECCV 2024] Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models
[ECCV 2024] Continuous Memory Representation for Anomaly Detection
Motion and Structure from Event-based Normal Flow (ECCV 2024)
[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
[ECCV 2024 Oral] Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets
(ECCV 2024) Editable Image Elements for Controllable Synthesis
[ECCV 2024] Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
ECCV-2024-Oral-Pre-Video: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration
Event-Aided Time-to-Collision Estimation for Autonomous Driving (ECCV 2024)
[ECCV 24]  EAS-SNN: End-to-End Adaptive Sampling and Representation with Spiking Neural Networks.
Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion (ECCV 2024 paper)
[ECCV 2024 Oral] Decoupling Common & Unique Representations for Multimodal Self-supervised Learning
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[ECCV 2024] Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models

[ECCV 2024] Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models

The presentation of paper in

[ECCV 2024] Continuous Memory Representation for Anomaly Detection

[ECCV 2024] Continuous Memory Representation for Anomaly Detection

[ECCV 2024] Continuous Memory Representation for Anomaly Detection

Motion and Structure from Event-based Normal Flow (ECCV 2024)

Motion and Structure from Event-based Normal Flow (ECCV 2024)

Recovering the camera motion and scene geometry from visual data is a fundamental problem in computer vision. Its success in ...

[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention

[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention

This work is published in

[ECCV 2024 Oral] Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets

[ECCV 2024 Oral] Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets

https://daveishan.github.io/avr-webpage/

(ECCV 2024) Editable Image Elements for Controllable Synthesis

(ECCV 2024) Editable Image Elements for Controllable Synthesis

More: https://jitengmu.github.io/Editable_Image_Elements/

[ECCV 2024] Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

[ECCV 2024] Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

Presentation for the paper: Sukrut Rao*, Sweta Mahajan*, Moritz Böhle, Bernt Schiele. Discover-then-Name: Task-Agnostic ...

ECCV-2024-Oral-Pre-Video: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration

ECCV-2024-Oral-Pre-Video: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration

Point cloud registration is a foundational task for 3D

Event-Aided Time-to-Collision Estimation for Autonomous Driving (ECCV 2024)

Event-Aided Time-to-Collision Estimation for Autonomous Driving (ECCV 2024)

Predicting a potential collision with leading vehicles is an essential functionality of any autonomous/assisted driving system.

[ECCV 24]  EAS-SNN: End-to-End Adaptive Sampling and Representation with Spiking Neural Networks.

[ECCV 24] EAS-SNN: End-to-End Adaptive Sampling and Representation with Spiking Neural Networks.

In this study, we discover that the

Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion (ECCV 2024 paper)

Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion (ECCV 2024 paper)

Teaser Video for the peer-reviewed research that will be presented at

[ECCV 2024 Oral] Decoupling Common & Unique Representations for Multimodal Self-supervised Learning

[ECCV 2024 Oral] Decoupling Common & Unique Representations for Multimodal Self-supervised Learning

Paper: https://arxiv.org/abs/2309.05300

ECCV 2024 Redux: Day 3- Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Seg.

ECCV 2024 Redux: Day 3- Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Seg.

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures We present ...