collaborators

8 papers

cs.CV2026

Controlling Embedding Spaces with Text-Conditioned Transformations

Joseph Fioresi, Fabian Caba Heilbron, Pankaj Nathani +2

Multimodal embedding spaces in models like CLIP enable powerful capabilities such as semantic similarity retrieval and cross-modal zero-shot classification. These embeddings compre…

cs.MA2026

Learning to Share: Selective Memory for Efficient Parallel Agentic Systems

Joseph Fioresi, Parth Parag Kulkarni, Ashmal Vayani +2

Agentic systems solve complex tasks by coordinating multiple agents that iteratively reason, invoke tools, and exchange intermediate results. To improve robustness and solution qua…

cs.CV2026

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding

Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah

We introduce a novel formulation of visual privacy preservation for video foundation models that operates entirely in the latent space. While spatio-temporal features learned by fo…

cs.CV2026

VRR-QA: Visual Relational Reasoning in Videos Beyond Explicit Cues

Sirnam Swetha, Rohit Gupta, Parth Parag Kulkarni +5

Video Question Answering (VideoQA) has made significant strides by leveraging multimodal learning to align visual and textual modalities. However, current benchmarks overwhelmingly…

cs.CY2026

Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future

Shaina Raza, Rizwan Qureshi, Anam Zahid +14

Generative AI is rapidly moving from research to deployment, elevating the need for responsible development, evaluation, and governance. We conduct a PRISMA guided review of 232 st…

eess.IV2026

MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis

Ashmal Vayani, Parth Parag Kulkarni, Joseph Fioresi +2

Medical diagnosis using Large Multimodal Models (LMMs) has gained increasing attention due to capability of these models in providing precise diagnoses. These models generally comb…