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06/04/2023
Top-Down Processing: Top-Down Network Combines Back-Propagation with Attention
Early neural network models relied exclusively on bottom-up processing g...
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05/31/2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Vision and Language (VL) models offer an effective method for aligning r...
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11/21/2022
Teaching Structured Vision Language Concepts to Vision Language Models
Vision and Language (VL) models have demonstrated remarkable zero-shot p...
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05/12/2021
Image interpretation by iterative bottom-up top-down processing
Scene understanding requires the extraction and representation of scene ...
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04/20/2021
Detector-Free Weakly Supervised Grounding by Separation
Nowadays, there is an abundance of data involving images and surrounding...
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04/19/2021
What can human minimal videos tell us about dynamic recognition models?
In human vision objects and their parts can be visually recognized from ...
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06/09/2020
What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time
Rich empirical evidence has shown that visual object recognition in the ...
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02/09/2020
Multi-Task Learning by a Top-Down Control Network
A general problem that received considerable recent attention is how to ...
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11/29/2018
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects
An image is not just a collection of objects, but rather a graph where e...
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11/20/2018
VQA with no questions-answers training
Methods for teaching machines to answer visual questions have made signi...
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10/25/2018
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures
An image related question defines a specific visual task that is require...
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04/10/2018
Large Field and High Resolution: Detecting Needle in Haystack
The growing use of convolutional neural networks (CNN) for a broad range...
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04/10/2018
Discovery and usage of joint attention in images
Joint visual attention is characterized by two or more individuals looki...
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02/25/2018
Cakewalk Sampling
Combinatorial optimization is a common theme in computer science which u...
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12/26/2017
A model for interpreting social interactions in local image regions
Understanding social interactions (such as 'hug' or 'fight') is a basic ...
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11/29/2016
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines
Humans are remarkably adept at interpreting the gaze direction of other ...
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10/30/2016
Discovering containment: from infants to machines
Current artificial learning systems can recognize thousands of visual ca...
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05/25/2016
Action Classification via Concepts and Attributes
Classes in natural images tend to follow long tail distributions. This i...
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03/27/2016
Human Pose Estimation using Deep Consensus Voting
In this paper we consider the problem of human pose estimation from a si...
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03/26/2016
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities
Understanding language goes hand in hand with the ability to integrate c...
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03/14/2016
Visual Concept Recognition and Localization via Iterative Introspection
Convolutional neural networks have been shown to develop internal repres...
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01/17/2016
Face-space Action Recognition by Face-Object Interactions
Action recognition in still images has seen major improvement in recent ...
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11/12/2015
Hand-Object Interaction and Precise Localization in Transitive Action Recognition
Action recognition in still images has seen major improvement in recent ...
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02/04/2015
Learning Local Invariant Mahalanobis Distances
For many tasks and data types, there are natural transformations to whic...
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12/08/2014
When Computer Vision Gazes at Cognition
Joint attention is a core, early-developing form of social interaction. ...
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06/10/2014