33 citations · 39 across the 17 of their papers we have counts for
18 papers
Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction
Forouzan Fallah, Chia Yu Hsu, Wenwen Li +2
Frequent cloud cover severely limits the usability of Sentinel-2 (S2) optical time series for Earth surface monitoring. Sentinel-1 (S1) SAR provides all-weather complementary obser…
ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society
Longchao Da, Mithun Shivakoti, Xiangrui Liu +3
Urban heat exposure is becoming an increasingly critical challenge due to the intensifying urban heat island effect. Fine-grained shade patterns, especially those induced by urban…
eNavi: Event-based Imitation Policies for Low-Light Indoor Mobile Robot Navigation
Prithvi Jai Ramesh, Kaustav Chanda, Krishna Vinod +3
Event cameras provide high dynamic range and microsecond-level temporal resolution, making them well-suited for indoor robot navigation, where conventional RGB cameras degrade unde…
Domain Expansion: A Latent Space Construction Framework for Multi-Task Learning
Chi-Yao Huang, Khoa Vo, Aayush Atul Verma +2
Training a single network with multiple objectives often leads to conflicting gradients that degrade shared representations, forcing them into a compromised state that is suboptima…
UDVideoQA: A Traffic Video Question Answering Dataset for Multi-Object Spatio-Temporal Reasoning in Urban Dynamics
Joseph Raj Vishal, Nagasiri Poluri, Katha Naik +7
Understanding the complex, multi-agent dynamics of urban traffic remains a fundamental challenge for video language models. This paper introduces Urban Dynamics VideoQA, a benchmar…
eSkiTB: A Synthetic Event-based Dataset for Tracking Skiers
Krishna Vinod, Joseph Raj Vishal, Kaustav Chanda +3
Tracking skiers in RGB broadcast footage is challenging due to motion blur, static overlays, and clutter that obscure the fast-moving athlete. Event cameras, with their asynchronou…
InterAct-Video: Reasoning-Rich Video QA for Urban Traffic
Joseph Raj Vishal, Divesh Basina, Rutuja Patil +4
Traffic monitoring is crucial for urban mobility, road safety, and intelligent transportation systems (ITS). Deep learning has advanced video-based traffic monitoring through video…
Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection
Aayush Atul Verma, Arpitsinh Vaghela, Bharatesh Chakravarthi +2
Event-based sensors offer high temporal resolution and low latency by generating sparse, asynchronous data. However, converting this irregular data into dense tensors for use in st…
SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring
Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela +2
Event-based sensors have emerged as a promising solution for addressing challenging conditions in pedestrian and traffic monitoring systems. Their low-latency and high dynamic rang…
Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space
Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela +2
Event cameras promise a paradigm shift in vision sensing with their low latency, high dynamic range, and asynchronous nature of events. Unfortunately, the scarcity of high-quality…
Generative AI in Transportation Planning: A Survey
Longchao Da, Tiejin Chen, Zhuoheng Li +14
The integration of generative artificial intelligence (GenAI) into transportation planning has the potential to revolutionize tasks such as demand forecasting, infrastructure desig…
MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring
Arpitsinh Vaghela, Duo Lu, Aayush Atul Verma +3
Single camera 3D perception for traffic monitoring faces significant challenges due to occlusion and limited field of view. Moreover, fusing information from multiple cameras at th…
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi +2
Traffic roundabouts, as complex and critical road scenarios, pose significant safety challenges for autonomous vehicles. In particular, the encounter of a vehicle with a dilemma zo…
Recent Event Camera Innovations: A Survey
Bharatesh Chakravarthi, Aayush Atul Verma, Kostas Daniilidis +2
Event-based vision, inspired by the human visual system, offers transformative capabilities such as low latency, high dynamic range, and reduced power consumption. This paper prese…
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras
Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi +5
This paper introduces SynTraC, the first public image-based traffic signal control dataset, aimed at bridging the gap between simulated environments and real-world traffic manageme…
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception
Manideep Reddy Aliminati, Bharatesh Chakravarthi, Aayush Atul Verma +4
Recently, event-based vision sensors have gained attention for autonomous driving applications, as conventional RGB cameras face limitations in handling challenging dynamic conditi…
eTraM: Event-based Traffic Monitoring Dataset
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela +2
Event cameras, with their high temporal and dynamic range and minimal memory usage, have found applications in various fields. However, their potential in static traffic monitoring…
Open-TI: Open Traffic Intelligence with Augmented Language Model
Longchao Da, Kuanru Liou, Tiejin Chen +4
Transportation has greatly benefited the cities' development in the modern civilization process. Intelligent transportation, leveraging advanced computer algorithms, could further…