Tootfinder

Robust RGB-T Tracking via Learnable Visual Fourier Prompt Fine-tuning and Modality Fusion Prompt Generation
Hongtao Yang, Bineng Zhong, Qihua Liang, Zhiruo Zhu, Yaozong Zheng, Ning Li
https://arxiv.org/abs/2509.19733

Robust RGB-T Tracking via Learnable Visual Fourier Prompt Fine-tuning and Modality Fusion Prompt Generation
Recently, visual prompt tuning is introduced to RGB-Thermal (RGB-T) tracking as a parameter-efficient finetuning (PEFT) method. However, these PEFT-based RGB-T tracking methods typically rely solely on spatial domain information as prompts for feature extraction. As a result, they often fail to achieve optimal performance by overlooking the crucial role of frequency-domain information in prompt learning. To address this issue, we propose an efficient Visual Fourier Prompt Tracking (named VFPTra…

Seeking a distraction from his current political travails,
Donald Trump is attempting to relitigate the nearly decade-old controversy over Russian involvement in the 2016 election.
Trump claims that President Barack Obama committed treason,
-- a crime that may be punishable by death.
Trump is wrong on the facts and the law,
and his sensational allegation serves only to demonstrate how completely he has degraded contemporary political discourse.

Opinion | The Line Trump Crossed by Accusing Obama of Treason
President Trump’s history of intemperate remarks has earned him a perverse kind of immunity; the more outrageous his statement, the faster it is often dismissed.

JWST Near Infrared Spectroscopy of High Albedo Jupiter Trojans: A New Surface Type in the Trojan Belt
Michael E. Brown, Ian Wong, Matthew Belyakov
https://arxiv.org/abs/2506.19922

JWST Near Infrared Spectroscopy of High Albedo Jupiter Trojans: A New Surface Type in the Trojan Belt
We present 0.8 to 5 $μ$m JWST spectra of four $\sim$20 km diameter Jupiter Trojans known to have albedos elevated above the values typical in the remaining Trojan population. The spectra of these four high albedo Jupiter Trojans are all similar, with red slopes in the optical-IR transition region, a break to lower slopes at 1.3 $μ$m, and a broad absorptions from 2.8 to 4 $μ$m. The 0.8 to 2.5 $μ$m spectra of these objects match the spectra of neither the well-known "red" and "less-red" Jupit…

ForcePinch: Force-Responsive Spatial Interaction for Tracking Speed Control in XR
Chenyang Zhang, Tiffany S Ma, John Andrews, Eric J Gonzalez, Mar Gonzalez-Franco, Yalong Yang
https://arxiv.org/abs/2507.18510

ForcePinch: Force-Responsive Spatial Interaction for Tracking Speed Control in XR
Spatial interaction in 3D environments requires balancing efficiency and precision, which requires dynamic tracking speed adjustments. However, existing techniques often couple tracking speed adjustments directly with hand movements, reducing interaction flexibility. Inspired by the natural friction control inherent in the physical world, we introduce ForcePinch, a novel force-responsive spatial interaction method that enables users to intuitively modulate pointer tracking speed and smoothly tr…

A Scalable Hybrid Track-Before-Detect Tracking System: Application to Coastal Maritime Radar Surveillance
Lukas Herrmann, \'Angel F. Garc\'ia-Fern\'andez, Edmund F. Brekke, Egil Eide
https://arxiv.org/abs/2508.16169

A Scalable Hybrid Track-Before-Detect Tracking System: Application to Coastal Maritime Radar Surveillance
Despite their theoretical advantages, track-before-detect (TBD) methods remain largely absent from real-world multi-target tracking applications due to their computational complexity and limited scalability. This paper presents a scalable hybrid tracking framework that combines a TBD multi-target tracking algorithm with a detection-based multi-target tracking algorithm for coastal radar surveillance. In particular, the approach uses an integrated existence Poisson histogram-probabilistic multi-…

Track-On2: Enhancing Online Point Tracking with Memory
G\"orkay Aydemir, Weidi Xie, Fatma G\"uney
https://arxiv.org/abs/2509.19115 https://arxiv.…

Track-On2: Enhancing Online Point Tracking with Memory
In this paper, we consider the problem of long-term point tracking, which requires consistent identification of points across video frames under significant appearance changes, motion, and occlusion. We target the online setting, i.e. tracking points frame-by-frame, making it suitable for real-time and streaming applications. We extend our prior model Track-On into Track-On2, a simple and efficient transformer-based model for online long-term tracking. Track-On2 improves both performance and ef…