CQL
CQL is a digital commerce agency with a 25+ year history of creating commerce experiences and solutions for inspiring brands and people who love them. CQL’s unparalleled technical expertise and experience design, coupled with industry leading eCommerce platforms, has helped retailers and manufacturers drive record online revenue, build new channels, and envision world-changing ideas. Headquartered in Grand Rapids, Michigan, our clients include Petsmart, e.l.f. Cosmetics, Wolverine Worldwide, James Avery Artisan Jewelry, Escalade Sports, and more.
CQL
Industry:
Computer E-Commerce Information Technology Software
Founded:
1995-01-01
Address:
Grand Rapids, Michigan, United States
Country:
United States
Website Url:
http://www.cqlcorp.com
Total Employee:
51+
Status:
Active
Contact:
616 365 1000
Email Addresses:
[email protected]
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Google Font API Google Analytics LetsEncrypt Google Tag Manager WordPress Content Delivery Network
Similar Organizations
VeraCore
The VeraCore browser-based order fulfillment software for fulfillment companies, printers and marketing service providers.
Current Employees Featured
Founder
Acquisitions List
| Date | Company | Article | Price |
|---|---|---|---|
| 2018-03-28 | Union Digital Co. | Union Digital Co. acquired by CQL | N/A |
Official Site Inspections
http://www.cqlcorp.com Semrush global rank: 2.7 M Semrush visits lastest month: 6.14 K
- Host name: 3.83.247.35.bc.googleusercontent.com
- IP address: 35.247.83.3
- Location: Mountain View United States
- Latitude: 37.4043
- Longitude: -122.0748
- Metro Code: 807
- Timezone: America/Los_Angeles
- Postal: 94043
More informations about "CQL"
The Synergy of Seeing and Saying: Revolutionary Advances in Multi …
Jul 11, 2025 This paper provides a comprehensive review of the visual-language large model in the field of medical health. Specifically, this paper first introduces the basic theoretical basis …See details»
人工智能科学与工程 Artificial Intelligence Science and ...
REVIEWS The Synergy of Seeing and Saying:Revolutionary Advances in Multi-modality Medical Vision-Language Large Models A Survey of Cooperative Multi-agent Reinforcement Learning …See details»
[AAAI 2023 Oral] : Multi-modal 多模态 / Vision-language ...
[AAAI 2023 Oral] : Multi-modal 多模态 / Vision-language 视觉语言收录论文集合（42篇） - 知乎See details»
Vision-Language Models in medical image analysis: From simple …
Jun 1, 2025 Vision-language models play an important role in medical image analysis technology, and the application scenarios cover from simple modality fusion to the current …See details»
Improving Multi-modal Large Language Model through Boosting Vision …
Oct 17, 2024 First, we present Multimodal LoRA (MM-LoRA), a module designed to enhance the decoder. Unlike traditional language-driven decoders, MM-LoRA consists of two parallel …See details»
Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language ...
Sep 25, 2024 In this paper, we formally define the problem of cross-modality parametric knowledge conflict and present a systematic approach to detect, interpret, and mitigate them.See details»
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models
Apr 11, 2025 Vision-Language models (VLMs) have shown great potential in enhancing open-world visual concept comprehension. Recent researches focus on an optimum multimodal …See details»
Towards Medical Vision-Language Contrastive Pre-training via …
Oct 28, 2024 Contrastive vision-language pre-training has shown great promise in representation transfer learning and cross-modality learning in the medical field.See details»
The Synergy of Seeing and Saying: Revolutionary Advances in Multi …
Jun 1, 2025 Our paper reviews recent advancements in developing VLMs specialized for healthcare, focusing on publicly available models designed for medical report generation and …See details»
Enhancing Medical Vision-Language Contrastive Learning via …
Jan 19, 2024 The proposed MedAlmighty framework demonstrates that incorporating general-domain representations via frozen large vision models—when guided by task-specific …See details»
[2501.17654] Exploring Vision Language Models for Multimodal …
Jan 29, 2025 This paper evaluates state-of-the-art VLMs on a newly extended dataset covering seven languages and multimodal inputs, investigating their use of visual cues, language …See details»
Integrating vision and language: revolutionary foundations in medical …
Apr 3, 2024 Our presentation will begin with an in-depth exploration of the essential concepts that underpin these models, with a special emphasis on the synergy between vision-language …See details»
Arxiv 24.5.7 多模态/视觉语言模型 Multi-Modal/Vision ...
May 8, 2024 Multi-modal large language models (MLLMs) have shown incredible capabilities in a variety of 2D vision and language tasks. We extend MLLMs' perceptual capabilities to …See details»
Multi-modal Pre-training for Medical Vision-language …
Feb 27, 2024 To provide a comprehensive perspective on VLP for medical VL tasks, we conduct a thorough experimental analysis to study key factors that may a ect the performance of VLP …See details»
The Synergy of Seeing and Saying: Revolutionary Advances in Multi …
A novel multi-modal multi-label GZSL approach that leverages feature disentanglement and multi-modal information to synthesize features of unseen classes and outperforms competing …See details»
A Review of Multi-Modal Large Language and Vision Models
Mar 28, 2024 This paper provides an extensive review of the current state of those LLMs with multi-modal capabilities as well as the very recent MM-LLMs.See details»
论文分享 | 多模态大模型最新进展 - 知乎
Jun 27, 2025 Recent advances in vision-language models (VLMs) have greatly improved cross-modal semantic understanding, yet significant limitations remain in fine-grained discrimination …See details»
The Synergy Between Data and Multi-Modal Large Language Models…
Jun 5, 2025 Recent years have witnessed the rapid development of large language models (LLMs). Mmodal LLMs (MLLMs) extend modality from text to various domains, attracting.See details»
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models
In this work, we focus on exploring a novel multimodal synergy strategy and proposing a Dual-shared mechanism to enhance the reusability of module parameters, thereby improving …See details»
Symmetry-Aware Advances in Multimodal Large Language Models ...
6 days ago With the exponential growth of multimodal data, the limitations of traditional unimodal models in cross-modal understanding and complex scenario reasoning have become …See details»