Junaid Ansari
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View article: Conventional Camera Performance in Dark Environments – Noise Reduction and Visibility Enhancement
Conventional Camera Performance in Dark Environments – Noise Reduction and Visibility Enhancement Open
Capturing images in dark conditions is inherently difficult due to limited photon counts, high sensor noise, and di- minished contrast. This paper explores how conventional methods and modern deep learning approaches address these challeng…
View article: Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments
Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments Open
This work proposes a novel approach to social robot navigation by learning to generate robot controls from a social motion latent space. By leveraging this social motion latent space, the proposed method achieves significant improvements i…
View article: OC 47.1 Neutrophil Integrin α9β1 Promotes Post-Stroke Deep Vein Thrombosis
OC 47.1 Neutrophil Integrin α9β1 Promotes Post-Stroke Deep Vein Thrombosis Open
expression in BMDMs in vitro via inhibition of Ifnb1.Additionally, they block type I interferon-and caspase-11-mediated pyroptosis, and subsequent TF release from BMDMs and TF-dependent thrombin generation.In vivo, DMF and 4-OI inhibit TF-…
View article: 5G-SMART D1.5 Evaluation of radio network deployment options
5G-SMART D1.5 Evaluation of radio network deployment options Open
This deliverable results from the work on the radio network performance analysis of the identified use cases and deployment options. Covered topics include latency reduction and mobility features of the 5G NR itself, as well as detailed an…
View article: Prototype of 5G Integrated with TSN for Edge-Controlled Mobile Robotics
Prototype of 5G Integrated with TSN for Edge-Controlled Mobile Robotics Open
The digitization of industries enables a rapid transformation from mass production to individualized manufacturing. Communication plays an essential role in this digital transformation; in particular, wireless communication enables a high …
View article: BirdSLAM: Monocular Multibody SLAM in Bird’s-eye View
BirdSLAM: Monocular Multibody SLAM in Bird’s-eye View Open
In this paper, we present BirdSLAM, a novel simultaneous localization and mapping (SLAM) system for the challenging scenario of autonomous driving platforms equipped with only a monocular camera. BirdSLAM tackles challenges faced by other …
View article: Simple means Faster: Real-Time Human Motion Forecasting in Monocular\n First Person Videos on CPU
Simple means Faster: Real-Time Human Motion Forecasting in Monocular\n First Person Videos on CPU Open
We present a simple, fast, and light-weight RNN based framework for\nforecasting future locations of humans in first person monocular videos. The\nprimary motivation for this work was to design a network which could accurately\npredict fut…
View article: Simple means Faster: Real-Time Human Motion Forecasting in Monocular First Person Videos on CPU
Simple means Faster: Real-Time Human Motion Forecasting in Monocular First Person Videos on CPU Open
We present a simple, fast, and light-weight RNN based framework for forecasting future locations of humans in first person monocular videos. The primary motivation for this work was to design a network which could accurately predict future…
View article: Multi-object Monocular SLAM for Dynamic Environments
Multi-object Monocular SLAM for Dynamic Environments Open
In this paper, we tackle the problem of multibody SLAM from a monocular camera. The term multibody, implies that we track the motion of the camera, as well as that of other dynamic participants in the scene. The quintessential challenge in…
View article: INFER: INtermediate representations for FuturE pRediction
INFER: INtermediate representations for FuturE pRediction Open
In urban driving scenarios, forecasting future trajectories of surrounding vehicles is of paramount importance. While several approaches for the problem have been proposed, the best-performing ones tend to require extremely detailed input …
View article: CCDC 1945848: Experimental Crystal Structure Determination
CCDC 1945848: Experimental Crystal Structure Determination Open
View article: Table of Contents
Table of Contents Open
View article: The Earth Ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera
The Earth Ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera Open
Accurate localization of other traffic participants is a vital task in autonomous driving systems. State-of-the-art systems employ a combination of sensing modalities such as RGB cameras and LiDARs for localizing traffic participants, but …
View article: Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking Open
This paper introduces geometry and object shape and pose costs for multi-object tracking in urban driving scenarios. Using images from a monocular camera alone, we devise pairwise costs for object tracks, based on several 3D cues such as o…
View article: The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and\n Graded Roads from a Moving Camera
The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and\n Graded Roads from a Moving Camera Open
Accurate localization of other traffic participants is a vital task in\nautonomous driving systems. State-of-the-art systems employ a combination of\nsensing modalities such as RGB cameras and LiDARs for localizing traffic\nparticipants, b…
View article: Beyond Pixels: Leveraging Geometry and Shape Cues for Online\n Multi-Object Tracking
Beyond Pixels: Leveraging Geometry and Shape Cues for Online\n Multi-Object Tracking Open
This paper introduces geometry and object shape and pose costs for\nmulti-object tracking in urban driving scenarios. Using images from a monocular\ncamera alone, we devise pairwise costs for object tracks, based on several 3D\ncues such a…
View article: Channel Selection Algorithm for Cognitive Radio Networks with Heavy-Tailed Idle Times
Channel Selection Algorithm for Cognitive Radio Networks with Heavy-Tailed Idle Times Open
We consider a multichannel Cognitive Radio Network (CRN), where secondary users sequentially sense channels for opportunistic spectrum access. In this scenario, the Channel Selection Algorithm (CSA) allows secondary users to find a vacant …