Media Summary: Authors: Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell Description: Human Accepted at BMVC 2021 -- Oral presentation (top ~3.5% of the papers)! Arxiv: Code: ... In the 63rd session of Multimodal Weekly, we had three exciting presentations on video summarization,

Something Else Compositional Action Recognition - Detailed Analysis & Overview

Authors: Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell Description: Human Accepted at BMVC 2021 -- Oral presentation (top ~3.5% of the papers)! Arxiv: Code: ... In the 63rd session of Multimodal Weekly, we had three exciting presentations on video summarization, Graduate Summer School 2012: Deep Learning, Feature Learning "Unsupervised Title: C2C: Component-to-Composition Learning for Zero-Shot Yuke Zhu UT Austin February 18, 2022 Recent years have witnessed great strides in deep learning for robotics.

Workshop: ICCV'13 THUMOS Challenge: International Workshop on Not all video frames are equally informative for

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Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks
Revisiting spatio-temporal layouts for compositional action recognition
ECCV2020: Visual Compositional Learning for Human-Object Interaction Detection
Video summarization, Compositional video understanding, & Tracking everything | Multimodal Weekly 63
[ECCV2024 oral]C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition
Alan Yuille: "Unsupervised Compositional Learning of Object Models"
[ECCV 2024 Oral][Indepth Reading]C2C: Component-to-Composition Learning for Zero-Shot Compositional
AGQA - A benchmark for compositional, spatio-temporal reasoning
Chop & Learn: Recognizing and Generating Object-State Compositions
Compositional Trajectories and a Locally Articulated Spatiotemporal Deformable Parts Model
Stanford Seminar - Objects, Skills, and the Quest for Compositional Robot Autonomy
What do action recognition benchmarks tell us about action recognition capabilities?
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Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks

Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks

Authors: Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell Description: Human

Revisiting spatio-temporal layouts for compositional action recognition

Revisiting spatio-temporal layouts for compositional action recognition

Accepted at BMVC 2021 -- Oral presentation (top ~3.5% of the papers)! Arxiv: https://arxiv.org/abs/2111.01936 Code: ...

ECCV2020: Visual Compositional Learning for Human-Object Interaction Detection

ECCV2020: Visual Compositional Learning for Human-Object Interaction Detection

ECCV2020: Visual

Video summarization, Compositional video understanding, & Tracking everything | Multimodal Weekly 63

Video summarization, Compositional video understanding, & Tracking everything | Multimodal Weekly 63

In the 63rd session of Multimodal Weekly, we had three exciting presentations on video summarization,

[ECCV2024 oral]C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition

[ECCV2024 oral]C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition

Code is available at https://github.com/RongchangLi/ZSCAR_C2C.

Alan Yuille: "Unsupervised Compositional Learning of Object Models"

Alan Yuille: "Unsupervised Compositional Learning of Object Models"

Graduate Summer School 2012: Deep Learning, Feature Learning "Unsupervised

[ECCV 2024 Oral][Indepth Reading]C2C: Component-to-Composition Learning for Zero-Shot Compositional

[ECCV 2024 Oral][Indepth Reading]C2C: Component-to-Composition Learning for Zero-Shot Compositional

Title: C2C: Component-to-Composition Learning for Zero-Shot

AGQA - A benchmark for compositional, spatio-temporal reasoning

AGQA - A benchmark for compositional, spatio-temporal reasoning

Poster at CVPR 2021 Paper: https://arxiv.org/pdf/2103.16002.pdf Benchmark: https://cs.stanford.edu/people/ranjaykrishna/agqa/

Chop & Learn: Recognizing and Generating Object-State Compositions

Chop & Learn: Recognizing and Generating Object-State Compositions

Moreover, we also use the videos for

Compositional Trajectories and a Locally Articulated Spatiotemporal Deformable Parts Model

Compositional Trajectories and a Locally Articulated Spatiotemporal Deformable Parts Model

The focus of the

Stanford Seminar - Objects, Skills, and the Quest for Compositional Robot Autonomy

Stanford Seminar - Objects, Skills, and the Quest for Compositional Robot Autonomy

Yuke Zhu UT Austin February 18, 2022 Recent years have witnessed great strides in deep learning for robotics.

What do action recognition benchmarks tell us about action recognition capabilities?

What do action recognition benchmarks tell us about action recognition capabilities?

Workshop: ICCV'13 THUMOS Challenge: International Workshop on

No Frame Left Behind: Full Video Action Recognition (CVPR 2021)

No Frame Left Behind: Full Video Action Recognition (CVPR 2021)

Not all video frames are equally informative for