Temporal Scene Flow Estimation

This work proposes a novel model and dataset for 3D

Temporal Scene Flow Estimation

... turn improves the

CVPR 2021 Oral Presentation.

Authors: Mehl, Lukas*; Jahedi, Azin; Schmalfuss, Jenny; Bruhn, Andrés Description: Recently, neural network for

You can find the paper here: https://arxiv.org/pdf/2503.04718.

Check the following link, and stay tuned with us! Code: https://github.com/Kin-Zhang/DeltaFlow Paper: ...

This video shows results from one of our older papers on sparse

https://av.dfki.de/ Video presentation for our paper "A Deep

Title: Self-Supervised Monocular

Authors: Himangi Mittal, Brian Okorn, David Held Description: When interacting with highly dynamic environments,

Title: Self-Supervised Monocular

The video accompanying our paper, Chun-Ho Hung, Li Xu, Jiaya Jia, "Consistent Binocular Depth and

[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for

https://av.dfki.de/ Video presentation for our paper "DeepLiDARFlow: A Deep Learning Architecture For

This talk is part of 'Student Research Seminar Series, 2022', an IEEE-IISc ComSoc & IEEE-IISc SPS collaborative event. Abstract ...

Estimation

(CVPR 2025). Embodied 3D Semantic

Video presentation of our CVPR 2023 paper: Self-Supervised 3D

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments