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04/23/2022
Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN
Existing approaches for restoring weather-degraded images follow a fully...
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05/27/2021
Unsupervised Domain Adaption of Object Detectors: A Survey
Recent advances in deep learning have led to the development of accurate...
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03/07/2021
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
Existing approaches for unsupervised domain adaptive object detection pe...
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10/04/2020
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Most methods for medical image segmentation use U-Net or its variants as...
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09/14/2020
Completely Self-Supervised Crowd Counting via Distribution Matching
Dense crowd counting is a challenging task that demands millions of head...
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07/07/2020
Learning to Count in the Crowd from Limited Labeled Data
Recent crowd counting approaches have achieved excellent performance. ho...
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04/07/2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
Due to its variety of applications in the real-world, the task of single...
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11/29/2019
Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions
Adverse weather conditions such as rain and haze corrupt the quality of ...
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10/28/2019
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
In this work, we propose a novel crowd counting network that progressive...
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08/28/2019
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
Crowd counting presents enormous challenges in the form of large variati...
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07/24/2019
HA-CCN: Hierarchical Attention-based Crowd Counting Network
Single image-based crowd counting has recently witnessed increased focus...
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07/02/2019
Inverse Attention Guided Deep Crowd Counting Network
In this paper, we address the challenging problem of crowd counting in c...
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04/02/2019
MVX-Net: Multimodal VoxelNet for 3D Object Detection
Many recent works on 3D object detection have focused on designing neura...
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01/16/2019
DAFE-FD: Density Aware Feature Enrichment for Face Detection
Recent research on face detection, which is focused primarily on improvi...
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04/26/2018
Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results
Face detection has witnessed immense progress in the last few years, wit...
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10/27/2017
High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks
Synthesizing face sketches from real photos and its inverse are well stu...
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10/03/2017
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
Facial landmarks constitute the most compressed representation of faces ...
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08/02/2017
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
We present a novel method called Contextual Pyramid CNN (CP-CNN) for gen...
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07/30/2017
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
Estimating crowd count in densely crowded scenes is an extremely challen...
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07/05/2017