I’m finally in a partnership with someone who adores me and by all means is the person I want to marry, but I keep finding reasons to make myself unhappy or doubtful. I don’t want to mess this up....
in love with Miriya, and explains his plans to marry her Rick initially objects due to her being an enemy Zentraedi. Max introduces Miriya to Rick though
My Husband and I got married about two months ago. He did not like that it was a gay wedding and that I was marrying a man. At the wedding: ●We had a dress code that he intentionally ignored — h...
Dil: Directed by Indra Kumar. With Aamir Khan, Madhuri Dixit, Saeed Jaffrey, Deven Verma. A man pretends to be a rich industrialist to improve his son's chances of marrying in to wealth, but his plan …
Marry CQRS with Event Sourcing (⭐ 37)
If you have been watching a lot of Chinese vertical dramas lately, you have probably noticed a very specific new trend: the female lead (FL) ends up marrying her ex-boyfriend’s father. It is part r...
Jul 28, 2025 · I have a dedicated 22 upper using PSA's bolt (made by or copy of CMMGs) I have the Arizona Regulator FRT I would like to marry them for super fun times Until @01ZULU finishes his â¦
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studied at Nanyang Girls' High School before marrying Wee in 1936. During Wee's career as a diplomat, she helped host formal dinner parties for him, including
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Parameter-Efficient Fine-Tuning (PEFT) effectively adapts pre-trained transformers to downstream tasks. However, the optimization of tasks performance often comes at the cost of generalizability in fine-tuned models. To address this issue, we theoret...
3D reconstruction in dynamic scenes primarily relies on the combination of geometry estimation and matching modules where the latter task is pivotal for distinguishing dynamic regions which can help to mitigate the interference introduced by camera a...
Object Tracking is one important problem in computer vision and surveillance system. The existing models mainly exploit the single-view feature (i.e. color, texture, shape) to solve the problem, failing to describe the objects comprehensively. In thi...
Given the image collection of an object, we aim at building a real-time image-based pose estimation method, which requires neither its CAD model nor hours of object-specific training. Recent NeRF-based methods provide a promising solution by directly...
Analysis of multi-modal content can be tricky, computationally expensive, and require a significant amount of engineering efforts. Lots of work with pre-trained models on static data is out there, yet fusing these opensource models and methods with c...
We introduce TransDiff, the first image generation model that marries Autoregressive (AR) Transformer with diffusion models. In this joint modeling framework, TransDiff encodes labels and images into high-level semantic features and employs a diffusi...
Handwritten mathematical expression recognition (HMER) suffers from complex formula structures and character layouts in sequence prediction. In this paper, we incorporate frequency domain analysis into HMER and propose a method that marries frequency...
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Occupancy and 3D object detection are characterized as two standard tasks in modern autonomous driving system. In order to deploy them on a series of edge chips with better precision and time-consuming trade-off, contemporary approaches either deploy...