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20212026
most citedVision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

GeoLift: Grounding Video Spatial Reasoning in Explicit 3D Maps

Xinglin Li, TingTing Long, Jingzhi Zhou +3

Video spatial reasoning requires multimodal large language models (MLLMs) to understand how objects are arranged and related across viewpoints. While these models can recognize obj…

cs.CV2025

PRISM: Product Retrieval In Shopping Carts using Hybrid Matching

Arda Kabadayi, Senem Velipasalar, Jiajing Chen

Compared to traditional image retrieval tasks, product retrieval in retail settings is even more challenging. Products of the same type from different brands may have highly simila…

cs.CV2024

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

Huantao Ren, Jiajing Chen, Senem Velipasalar

Gait is a behavioral biometric modality that can be used to recognize individuals by the way they walk from a far distance. Most existing gait recognition approaches rely on either…

cs.CV2023★ 1 cited

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

Md Zahid Hasan, Jiajing Chen, Jiyang Wang +6

Recognizing the activities causing distraction in real-world driving scenarios is critical for ensuring the safety and reliability of both drivers and pedestrians on the roadways.…

cs.CV2021

Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation

Jiajing Chen, Burak Kakillioglu, Senem Velipasalar

With the proliferation of Lidar sensors and 3D vision cameras, 3D point cloud analysis has attracted significant attention in recent years. After the success of the pioneer work Po…