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12/10/2019
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
3D object detection from a single image without LiDAR is a challenging t...
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11/28/2019
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
A major challenge for video semantic segmentation is the lack of labeled...
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08/27/2019
Mobile Video Action Recognition
Video action recognition, which is topical in computer vision and video ...
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07/08/2019
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions
We focus on grounding (i.e., localizing or linking) referring expression...
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12/11/2018
Face-Focused Cross-Stream Network for Deception Detection in Videos
Automated deception detection (ADD) from real-life videos is a challengi...
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12/11/2018
Zero-Shot Learning with Sparse Attribute Propagation
Zero-shot learning (ZSL) aims to recognize a set of unseen classes witho...
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12/06/2018
Recursive Visual Attention in Visual Dialog
Visual dialog is a challenging vision-language task, which requires the ...
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10/19/2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning
Zero-shot learning (ZSL) is made possible by learning a projection funct...
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10/19/2018
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning
Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to...
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10/19/2018
Domain-Invariant Projection Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) aims to recognize unseen object classes without...
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09/05/2017
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation
Large-scale image annotation is a challenging task in image content anal...
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07/04/2017
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics
Fine-grained image classification, which aims to distinguish images with...
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02/19/2015
Pairwise Constraint Propagation: A Survey
As one of the most important types of (weaker) supervised information in...
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01/18/2015
Image classification by visual bag-of-words refinement and reduction
This paper presents a new framework for visual bag-of-words (BOW) refine...
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01/18/2015
Pairwise Constraint Propagation on Multi-View Data
This paper presents a graph-based learning approach to pairwise constrai...
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10/14/2011
Robust Image Analysis by L1-Norm Semi-supervised Learning
This paper presents a novel L1-norm semi-supervised learning algorithm f...
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09/23/2011
Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition
This paper proposes a novel latent semantic learning method for extracti...
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09/22/2011