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09/10/2023
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art
Transformers have rapidly gained popularity in computer vision, especial...
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01/20/2023
Improving Sketch Colorization using Adversarial Segmentation Consistency
We propose a new method for producing color images from sketches. Curren...
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01/03/2023
Correlation Loss: Enforcing Correlation between Classification and Localization
Object detectors are conventionally trained by a weighted sum of classif...
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08/03/2022
Character Generation through Self-Supervised Vectorization
The prevalent approach in self-supervised image generation is to operate...
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04/28/2022
Streaming Multiscale Deep Equilibrium Models
We present StreamDEQ, a method that infers frame-wise representations on...
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04/13/2022
Does depth estimation help object detection?
Ground-truth depth, when combined with color data, helps improve object ...
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10/19/2021
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
This paper presents Mask-aware Intersection-over-Union (maIoU) for assig...
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07/24/2021
Rank Sort Loss for Object Detection and Instance Segmentation
We propose Rank Sort (RS) Loss, as a ranking-based loss function to ...
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06/08/2021
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
In this paper, we present a new bottom-up one-stage method for whole-bod...
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04/14/2021
HoughNet: Integrating near and long-range evidence for visual detection
This paper presents HoughNet, a one-stage, anchor-free, voting-based, bo...
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02/16/2021
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation
In this study, we introduce a measure for machine perception, inspired b...
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02/11/2021
Adversarial Segmentation Loss for Sketch Colorization
We introduce a new method for generating color images from sketches or e...
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02/04/2021
A Deeper Look into Convolutions via Pruning
Convolutional neural networks (CNNs) are able to attain better visual re...
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11/21/2020
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks
Despite being widely used as a performance measure for visual detection ...
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09/28/2020
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
We propose average Localization-Recall-Precision (aLRP), a unified, boun...
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08/03/2020
Reducing Label Noise in Anchor-Free Object Detection
Current anchor-free object detectors label all the features that spatial...
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07/05/2020
HoughNet: Integrating near and long-range evidence for bottom-up object detection
This paper presents HoughNet, a one-stage, anchor-free, voting-based, bo...
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02/13/2020
GANILLA: Generative Adversarial Networks for Image to Illustration Translation
In this paper, we explore illustrations in children's books as a new dom...
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09/21/2019
Generating Positive Bounding Boxes for Balanced Training of Object Detectors
Two-stage deep object detectors generate a set of regions-of-interest (R...
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08/31/2019
Imbalance Problems in Object Detection: A Review
In this paper, we present a comprehensive review of the imbalance proble...
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03/06/2019
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
Training accurate 3D human pose estimators requires large amount of 3D g...
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07/11/2018
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
In this paper, we present MultiPoseNet, a novel bottom-up multi-person p...
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07/04/2018
Localization Recall Precision (LRP): A New Performance Metric for Object Detection
Average precision (AP), the area under the recall-precision (RP) curve, ...
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11/19/2017
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images
This paper is aimed at creating extremely small and fast convolutional n...
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08/04/2014
Object Detection Through Exploration With A Foveated Visual Field
We present a foveated object detector (FOD) as a biologically-inspired a...
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09/12/2011