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03/27/2023
Learning Action Changes by Measuring Verb-Adverb Textual Relationships
The goal of this work is to understand the way actions are performed in ...
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03/16/2023
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
Humans excel at acquiring knowledge through observation. For example, we...
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10/10/2022
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition
Precisely naming the action depicted in a video can be a challenging and...
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09/30/2022
A Closer Look at Temporal Ordering in the Segmentation of Instructional Videos
Understanding the steps required to perform a task is an important skill...
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06/09/2022
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
We address the problem of data augmentation for video action recognition...
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01/25/2022
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition
We address the problem of capturing temporal information for video class...
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07/27/2021
A New Split for Evaluating True Zero-Shot Action Recognition
Zero-shot action recognition is the task of classifying action categorie...
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04/05/2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Prototype learning is extensively used for few-shot segmentation. Typica...
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01/18/2021
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition
Zero-shot action recognition is the task of recognizing action classes w...
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12/19/2020
SMART Frame Selection for Action Recognition
Action recognition is computationally expensive. In this paper, we addre...
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05/26/2020
ALBA : Reinforcement Learning for Video Object Segmentation
We consider the challenging problem of zero-shot video object segmentati...
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04/23/2020
Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020
This is the proceedings of the Computer Vision for Agriculture (CV4A) Wo...
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07/19/2019
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
Understanding temporal information and how the visual world changes over...
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06/10/2019
FASTER Recurrent Networks for Video Classification
Video classification methods often divide the video into short clips, do...
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01/11/2019
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
Motion has shown to be useful for video understanding, where motion is t...
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12/22/2017
On the Integration of Optical Flow and Action Recognition
Most of the top performing action recognition methods use optical flow a...
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05/03/2017
Optical Flow in Mostly Rigid Scenes
The optical flow of natural scenes is a combination of the motion of the...
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03/12/2016
