Abstract: Motivated by depression's significant impact on global health, this work proposes MultiDepNet, a novel multi-modal interpretable depression detection system integrating visual, physiological ...

Abstract: Distribution-level synchronized measurements serve as a valuable resource for event-type identification. The precision in identifying events offers crucial information for fault analysis, ...

The developer also agreed to make commercially reasonable efforts to involve local small businesses as well as minority-, women- and veteran-owned businesses in the project. (Nichaela ...

Netflix’s plan to turn a shuttered Army base into a Hollywood-style studio moved forward this week as local officials approved the massive second phase of the $903 million project. The newly approved ...

LoD-Loc tackles visual localization w.r.t a scene represented as LoD 3D map. Given a query image and its pose prior, the method utilizes the wireframe of LoD models to recover the camera pose. This ...

Cybersecurity researchers have called attention to a cyber attack in which unknown threat actors deployed an open-source endpoint monitoring and digital forensic tool called Velociraptor, illustrating ...

We introduce Visual Reinforcement Fine-tuning (Visual-RFT), the first comprehensive adaptation of Deepseek-R1’s RL strategy to the multimodal field. We use the Qwen2-VL-2/7B model as our base model ...