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11/14/2022
PKCAM: Previous Knowledge Channel Attention Module
Recently, attention mechanisms have been explored with ConvNets, both ac...
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07/13/2021
ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer
We propose ST-DETR, a Spatio-Temporal Transformer-based architecture for...
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07/11/2021
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving
Detection of moving objects is a very important task in autonomous drivi...
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06/21/2021
MODETR: Moving Object Detection with Transformers
Moving Object Detection (MOD) is a crucial task for the Autonomous Drivi...
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04/22/2021
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
Moving object Detection (MOD) is a critical task in autonomous driving a...
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02/12/2021
INSTA-YOLO: Real-Time Instance Segmentation
Instance segmentation has gained recently huge attention in various comp...
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12/03/2020
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline
Object detection is a comprehensively studied problem in autonomous driv...
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08/16/2020
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving
Moving object segmentation is a crucial task for autonomous vehicles as ...
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08/05/2020
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans
We present MultiCheXNet, an end-to-end Multi-task learning model, that i...
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12/01/2019
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
Moving Object Detection (MOD) is a critical task for autonomous vehicles...
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11/24/2019
Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation
Data scarcity is a bottleneck to machine learning-based perception modul...
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10/11/2019
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving
Moving object detection is a critical task for autonomous vehicles. As d...
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06/01/2019
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving
LiDAR has become a standard sensor for autonomous driving applications a...
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05/17/2019
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving
In the autonomous driving domain, data collection and annotation from re...
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01/11/2019
Optical Flow augmented Semantic Segmentation networks for Automated Driving
Motion is a dominant cue in automated driving systems. Optical flow is t...
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01/06/2019
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
Deep Reinforcement Learning (DRL) has become increasingly powerful in re...
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08/07/2018
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
Object detection and classification in 3D is a key task in Automated Dri...
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09/14/2017
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving
We propose a novel multi-task learning system that combines appearance a...
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06/11/2017
Meta learning Framework for Automated Driving
The success of automated driving deployment is highly depending on the a...
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04/08/2017