5 papers · 1 filter
Encoding Robust Topological Signatures for Hyperdimensional Computing
Arpan Kusari
Hyperdimensional (HD) computing offers an attractive alternative to deep networks for edge learning due to its simplicity, fast prototype-based inference, and compatibility with on…
Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems
Manav Prabhakar, Jwalandhar Girnar, Arpan Kusari
While much research has recently focused on generating physics-based adversarial samples, a critical yet often overlooked category originates from physical failures within on-board…
Quantifying Context Bias in Domain Adaptation for Object Detection
Hojun Son, Asma Almutairi, Arpan Kusari
Domain adaptation for object detection (DAOD) has become essential to counter performance degradation caused by distribution shifts between training and deployment domains. However…
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling
Hojun Son, Asma Almutairi, Arpan Kusari
Context bias refers to the association between the foreground objects and background during the object detection training process. Various methods have been proposed to minimize th…
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects
Yuzhen Chen, Hojun Son, Arpan Kusari
Determining material properties from camera images can expand the ability to identify complex objects in indoor environments, which is valuable for consumer robotics applications.…