Senem Velipasalar

Senem Velipasalar

Syracuse University

H-index: 36

North America-United States

About Senem Velipasalar

Senem Velipasalar, With an exceptional h-index of 36 and a recent h-index of 25 (since 2020), a distinguished researcher at Syracuse University, specializes in the field of Embedded smart cameras, embedded computer vision, image and video processing, information theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling

VLP: Vision Language Planning for Autonomous Driving

Vision-language models can identify distracted driver behavior from naturalistic videos

SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification

CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow

Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification

Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models

Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning

Senem Velipasalar Information

University

Position

Professor of Electrical Engineering and Computer Science

Citations(all)

4711

Citations(since 2020)

2819

Cited By

2993

hIndex(all)

36

hIndex(since 2020)

25

i10Index(all)

102

i10Index(since 2020)

64

Email

University Profile Page

Syracuse University

Google Scholar

View Google Scholar Profile

Senem Velipasalar Skills & Research Interests

Embedded smart cameras

embedded computer vision

image and video processing

information theory

Top articles of Senem Velipasalar

Title

Journal

Author(s)

Publication Date

GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling

arXiv preprint arXiv:2404.10213

Huantao Ren

Jiajing Chen

Senem Velipasalar

2024/4/16

VLP: Vision Language Planning for Autonomous Driving

arXiv preprint arXiv:2401.05577

Chenbin Pan

Burhaneddin Yaman

Tommaso Nesti

Abhirup Mallik

Alessandro G Allievi

...

2024/1/10

Vision-language models can identify distracted driver behavior from naturalistic videos

IEEE Transactions on Intelligent Transportation Systems

Md Zahid Hasan

Jiajing Chen

Jiyang Wang

Mohammed Shaiqur Rahman

Ameya Joshi

...

2024/4/4

SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification

Minmin Yang

Weiheng Chai

Jiyang Wang

Senem Velipasalar

2024

CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow

arXiv preprint arXiv:2403.08919

Chenbin Pan

Burhaneddin Yaman

Senem Velipasalar

Liu Ren

2024/3/13

Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification

Jiajing Chen

Minmin Yang

Senem Velipasalar

2024

Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models

arXiv preprint arXiv:2402.09316

Weiheng Chai

Brian Testa

Huantao Ren

Asif Salekin

Senem Velipasalar

2024/2/14

Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning

Feng Wang

Senem Velipasalar

M Cenk Gursoy

2024

Time-aware and task-transferable adversarial attack for perception of autonomous vehicles

Pattern Recognition Letters

Yantao Lu

Haining Ren

Weiheng Chai

Senem Velipasalar

Yilan Li

2024/2/1

Block-As-Domain Adaptation for Workload Prediction from fNIRS Data

arXiv preprint arXiv:2405.00213

Jiyang Wang

Ayse Altay

Senem Velipasalar

2024/4/30

Rethinking the Evaluation of Driver Behavior Analysis Approaches

IEEE Transactions on Intelligent Transportation Systems

Weiheng Chai

Jiyang Wang

Jiajing Chen

Senem Velipasalar

Anuj Sharma

2024/1/31

Viewnet: A novel projection-based backbone with view pooling for few-shot point cloud classification

Jiajing Chen

Minmin Yang

Senem Velipasalar

2023

EgoViT: Pyramid Video Transformer for Egocentric Action Recognition

arXiv preprint arXiv:2303.08920

Chenbin Pan

Zhiqi Zhang

Senem Velipasalar

Yi Xu

2023/3/15

Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies

IEEE Transactions on Machine Learning in Communications and Networking

Feng Wang

M Cenk Gursoy

Senem Velipasalar

2023/11/17

Cross-modality feature fusion network for few-shot 3d point cloud classification

Minmin Yang

Jiajing Chen

Senem Velipasalar

2023

Low power and privacy preserving sensor platform for occupancy detection

2023/3/14

Scalable and decentralized algorithms for anomaly detection via learning-based controlled sensing

IEEE Transactions on Signal and Information Processing over Networks

Geethu Joseph

Chen Zhong

M Cenk Gursoy

Senem Velipasalar

Pramod K Varshney

2023/9/11

Driver maneuver detection and analysis using time series segmentation and classification

Journal of transportation engineering, Part A: Systems

Armstrong Aboah

Yaw Adu-Gyamfi

Senem Velipasalar Gursoy

Jennifer Merickel

Matt Rizzo

...

2023/3/1

Sensitivity of Dynamic Network Slicing to Deep Reinforcement Learning Based Jamming Attacks

Feng Wang

M Cenk Gursoy

Senem Velipasalar

2023/9/5

Deep Insight: A Cloud Based Big Data Analytics Platform For Naturalistic Driving Studies Data Management, Analytics, and Automated Annotations

International Journal of Automotive Engineering

Archana Venkatachalapathy

Mohammed Shaiqur Rahman

Aditya Raj

Jennifer Merickel

Anuj Sharma

...

2023

See List of Professors in Senem Velipasalar University(Syracuse University)