collaborators

5 papers

cs.CV2026

WildDepth-v2: A Synchronized RGB--LiDAR--Radar Dataset and Benchmark for Metric Depth, Motion, and Tracking of Wildlife

Muhammad Aamir, Sangyun Shin, Naoya Muramatsu +4

Measuring animal distance and motion in metric units underpins abundance estimation, morphometrics, and movement ecology, yet monocular video lacks metric scale and wildlife datase…

cs.CV2026

A non-invasive video-based method for individual identification of wildlife using gait dynamics

Muhammad Aamir, Matthew Wijers, Sangyun Shin +2

Gait is a distinctive behavioral characteristic that enables non-invasive individual identification without requiring physical interaction with an animal. While gait-based analysis…

cs.CV2026

Spotted: Location-informed Reidentification of Hyenas and Leopards in Camera Trap Surveys

Halil Sina Kelebek, Julia Hindel, Kobus Hoffman +9

Animal re-identification (ReID) in camera-trap surveys remains challenging due to low image quality, strong variation in illumination and viewpoint, and highly imbalanced numbers o…

cs.CV2026

WildDepth: A Multimodal Dataset for 3D Wildlife Perception and Depth Estimation

Muhammad Aamir, Naoya Muramatsu, Sangyun Shin +6

Depth estimation and 3D reconstruction have been extensively studied as core topics in computer vision. Starting from rigid objects with relatively simple geometric shapes, such as…

hep-th2025

AdS3 axion wormholes as stable contributions to the Euclidean gravitational path integral

Andrew Loveridge, Hao-Yu Sun

Recent work has demonstrated that Euclidean Giddings-Strominger axion wormholes are stable in asymptotically flat 4D Minkowski spacetime, suggesting that they should, at least naiv…