Mobility

ICVGIP 2025, held in IIT Mandi, India, brought together a vibrant community of researchers, students, and industry practitioners working at the forefront of computer vision, graphics, and image processing. As a Silver Sponsor of the conference, IHub-Data, IIIT Hyderabad, participated with an exhibition stall that e merged as a focal point for technical discussions, dataset exploration, and talent engagement over the three-day event.

A Hub for Meaningful Technical Engagement

The IHub-Data stall was designed not merely as an exhibition space, but as a high-touch interaction hub. Over the course of the conference, the team engaged with 850+ visitors, including students, faculty members, and industry researchers from across the country. These interactions enabled in-depth conversations around current research challenges, real-world deployment, and the growing need for high-quality datasets in AI-driven systems.

To anchor these discussions, the stall showcased technical posters highlighting IHub-Data’s core focus areas:

• Mobility
• Health Care
• INAI

Many of these projects are rooted in research published at top-tier conferences, which helped facilitate technically rich exchanges and positioned IHub-Data as a strong contributor to the national AI research ecosystem.

Strong Interest in Curated Datasets

One of the most significant outcomes of the stall was the high level of interest in IHub-Data’s datasets, underscoring the community’s demand for well-curated, real-world data.

• India Driving Dataset (IDD) attracted the most attention, with over 40% of visitors expressing interest in its use for autonomous driving, perception, and robustness research.
• Health Care and Pathology datasets generated focused interest from 15–20% of visitors, reflecting a growing emphasis on medical AI and data-driven healthcare solutions.

These discussions not only validated the relevance of IHub-Data’s datasets but also opened pathways for future collaborations and extended use cases.

Interactive Engagement at the Stall

To encourage deeper engagement beyond casual browsing, the team introduced an interactive poster-based quiz. This initiative prompted visitors to explore the technical content more closely, ask questions, and engage in discussion.

Participants who successfully completed the quiz were rewarded with IHub-Data goodies, creating a lively atmosphere at the stall and significantly improving brand recall. The approach proved effective in sustaining energy levels and ensuring that interactions remained meaningful and memorable.

Building a Strong Talent Pipeline

A key objective of IHub-Data’s presence at ICVGIP 2025 was to highlight career and internship opportunities. The response exceeded expectations, resulting in 212 formal applications, translating to an impressive 25% conversion rate from total stall visitors.

The applicant pool reflected both depth and diversity:

• Interns and early-career engineers: ~80% (175 applicants)
• Experienced researchers and senior engineers: ~20% (43 applicants)

The team is currently progressing through screening and interviews, with early indicators pointing to a high-quality talent pool aligned with IHub-Data’s research and development goals.

Building a Strong Talent Pipeline

Beyond the stall, IHub-Data’s presence at ICVGIP 2025 was further strengthened through technical and industrial interactions, including an industrial talk by Dr. Shankar Gangisetty. The conference also provided opportunities for senior leadership engagement, with Prof. C. V. Jawahar interacting with researchers and students at the stall, reinforcing IHub-Data’s commitment to mentoring and collaboration.

IHub-Data’s participation at ICVGIP 2025 proved to be an exceptionally productive experience. By converting 850+ interactions into 212 tangible leads, the team significantly enhanced its visibility within the research community while building a quantified pipeline of collaborators and future talent.

The event reaffirmed the importance of forums like ICVGIP in fostering collaboration between academia, research hubs, and industry—and highlighted IHub-Data’s role in driving impactful, data-centric AI research in India.