469 citations · 1.3k across the 28 of their papers we have counts for
8 papers · 1 filter
GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid Reasoning
Kaicong Huang, Weiheng Oh, Jack M. Reilly +2
Transit video understanding can provide valuable fine-grained data that conventional passenger counters and fare systems cannot capture. However, supervised video models require ta…
Risk-Adaptive Edge--Cloud Visual Reasoning for Communication-Efficient Autonomous Driving
Meng Ma, Shuyang Li, Naigang Wang +1
Cloud-hosted vision-language models (VLMs) offer greater contextual reasoning capabilities than smaller onboard models, but frequent visual uploads increase communication overhead…
Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes
Kaicong Huang, Talha Azfar, Weisong Shi +1
Reliable autonomous driving relies on large-scale, well-labeled data and robust models. However, manual data collection is resource-intensive, and traditional simulation suffers fr…
iPay: Integrated Payment Action Recognition via Multimodal Networks and Adaptive Spatial Prior Learning
Kaicong Huang, Weiheng Oh, Thomas Guggisberg +1
Automated transit payment analysis is vital for scalable fare auditing and passenger analytics, yet practice still relies on limited manual inspection. Prior vision- and skeleton-b…
Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models
Bo Yu, Fengze Yang, Yiming Liu +6
The emergence of Vision-Language Models (VLMs) has introduced new paradigms for global image geo-localization through retrieval-augmented generation (RAG) and reasoning-driven infe…
Background Matters Too: A Language-Enhanced Adversarial Framework for Person Re-Identification
Kaicong Huang, Talha Azfar, Jack M. Reilly +2
Person re-identification faces two core challenges: precisely locating the foreground target while suppressing background noise and extracting fine-grained features from the target…
TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identification
Kaicong Huang, Talha Azfar, Jack Reilly +1
Transit Origin-Destination (OD) data are fundamental for optimizing public transit services, yet current collection methods, such as manual surveys, Bluetooth/WiFi tracking, and Au…
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar, Jinlong Li, Hongkai Yu +3
Computer vision applications in intelligent transportation systems (ITS) and autonomous driving (AD) have gravitated towards deep neural network architectures in recent years. Whil…