activity
20222026
most citedKnock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Supplement Generation Training for Enhancing Agentic Task Performance

Young Min Cho, Daniele Bonadiman, Divya Bhargavi +8

Training large foundation models for agentic tasks is increasingly impractical due to the high computational costs, long iteration cycles, and rapid obsolescence as new models are…

cs.AI2026

Explicit Trait Inference for Multi-Agent Coordination

Suhaib Abdurahman, Etsuko Ishii, Katerina Margatina +3

LLM-based multi-agent systems (MAS) show promise on complex tasks but remain prone to coordination failures such as goal drift, error cascades, and misaligned behaviors. We propose…

cs.IR2023★ 2 cited

Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach

Dong Li, Divya Bhargavi, Vidya Sagar Ravipati

While recommender systems have significantly benefited from implicit feedback, they have often missed the nuances of multi-behavior interactions between users and items. Historical…

cs.CV2022

Framework for 2D Ad placements in LinearTV

Divya Bhargavi, Karan Sindwani, Sia Gholami

Virtual Product placement(VPP) is the advertising technique of digitally placing a branded object into the scene of a movie or TV show. This type of advertising provides the abilit…

cs.CV2022★ 4 cited

Knock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data

Divya Bhargavi, Erika Pelaez Coyotl, Sia Gholami

Automatic player identification is an essential and complex task in sports video analysis. Different strategies have been devised over the years, but identification based on jersey…