research note
This paper addresses the gap in AI-driven game development regarding project-level code engineering on professional game engines by introducing JamSet and JamBench, the first large-scale dataset an…
research note
This paper addresses the challenging problem of 3D visual illusions, where a single 3D mesh reveals entirely different semantics from specific viewing angles
research note
This experience report explores the use of puzzle-based learning activities to develop Critical Testing Literacy (CTL) in software testing education
research note
MemoryWAM addresses a core challenge in world action models (WAMs) for robotic manipulation — balancing robust long-term memory of past observations with computational efficiency during inference
research note
This paper addresses the challenges of semantic understanding, adaptability, and scalability faced by traditional ML, deep learning, and reinforcement learning methods in dynamic and heterogeneous …
research note
This paper addresses a crucial gap in the remote sensing and computer vision community by introducing PCFootprint, the first large-scale, publicly available dataset specifically designed for vector…
research note
This paper addresses a critical bottleneck in learned local planners for urban sidewalk navigation — the inability of their scoring functions to select the best trajectory under semantically challen…
research note
This paper addresses the challenge of finely controlling the quantum state of dipolar Bose-Einstein condensates (BECs), particularly when driving the system through phase transitions between superf…
research note
This paper tackles key challenges in computational science related to interoperability across numerical optimization solvers implemented in different programming languages
research note
UNIEGO addresses the fundamental limitation in egocentric video understanding caused by the narrow perspective and single modality of wearable cameras
research note
This paper addresses the challenge of novel view synthesis (NVS) from sparse input views, where existing methods like NeRF and Gaussian Splatting (GS) struggle due to ambiguous 3D geometry recovery…
research note
This work addresses a critical gap in medical AI validation by introducing a clinician-centered pipeline designed specifically for ultrasound imaging AI studies
