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A Gradient-Regularized Deep Learning Method for Restoring Image in Myopic Vision
Kebin Contreras, Luis Toscano-Palomino, Rafael Torres +1
Myopic vision degrades the quality of human vision due to spherical eye defocus aberrations that impair the perception of fine spatial details. To address this limitation, this wor…
Time-Reversed Imaging: A Multimodal Benchmark and Framework for Reconstructing Past Human-Environment Interactions
Jorge Bacca, Kebin Contreras, Luis Toscano-Palomino +1
We introduce time-reversed imaging, a new paradigm that infers what just happened in a scene from fading multimodal traces. Instead of extrapolating or interpolating video frames,…
ProjGuard: Safety Monitoring for Computer-Use Agents via Low-Dimensional Projections
Kebin Contreras, Carlos Hinojosa, Jorge Bacca +1
Computer-use agents are increasingly capable of operating on real operating systems, but this capability has also increased the risks posed by prompt injection, indirect instructio…
Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception
Jingpei Lu, Fengyi Jiang, Xiaorui Zhang +2
Minimally invasive and robot-assisted surgery relies heavily on endoscopic imaging, yet surgical smoke produced by electrocautery and vessel-sealing instruments can severely degrad…
Scale Equivariance Regularization and Feature Lifting in High Dynamic Range Modulo Imaging
Brayan Monroy, Jorge Bacca
Modulo imaging enables high dynamic range (HDR) acquisition by cyclically wrapping saturated intensities, but accurate reconstruction remains challenging due to ambiguities between…
Deep Lightweight Unrolled Network for High Dynamic Range Modulo Imaging
Brayan Monroy, Jorge Bacca
Modulo-Imaging (MI) offers a promising alternative for expanding the dynamic range of images by resetting the signal intensity when it reaches the saturation level. Subsequently, h…