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04/26/2023
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos
Instructional videos are an important resource to learn procedural tasks...
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04/12/2023
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation
Multiscale video transformers have been explored in a wide variety of vi...
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11/03/2022
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks
There is limited understanding of the information captured by deep spati...
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08/09/2022
Sports Video Analysis on Large-Scale Data
This paper investigates the modeling of automated machine description on...
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07/13/2022
Is Appearance Free Action Recognition Possible?
Intuition might suggest that motion and dynamic information are key to v...
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06/06/2022
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
Deep spatiotemporal models are used in a variety of computer vision task...
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05/04/2022
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
In this paper, we study the problem of procedure planning in instruction...
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03/27/2022
Temporal Transductive Inference for Few-Shot Video Object Segmentation
Few-shot video object segmentation (FS-VOS) aims at segmenting video fra...
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07/11/2021
Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction
Video predictive understanding encompasses a wide range of efforts that ...
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07/11/2021
Interpretable Deep Feature Propagation for Early Action Recognition
Early action recognition (action prediction) from limited preliminary ob...
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05/26/2021
Detecting Biological Locomotion in Video: A Computational Approach
Animals locomote for various reasons: to search for food, find suitable ...
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11/30/2020
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support
It has been repeatedly observed that convolutional architectures when ap...
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03/23/2018
What Do We Understand About Convolutional Networks?
This document will review the most prominent proposals using multilayer ...
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01/04/2018
What have we learned from deep representations for action recognition?
As the success of deep models has led to their deployment in all areas o...
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08/22/2017
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
This paper presents a novel hierarchical spatiotemporal orientation repr...
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11/07/2016
Spatiotemporal Residual Networks for Video Action Recognition
Two-stream Convolutional Networks (ConvNets) have shown strong performan...
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10/21/2016