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From the 1 of 17 linked papers with an AI index.

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17 papers

cs.CV2026

FOLIO: Focused Semantic Memory for Streaming Video Understanding

Haoyang Fan, Dhruv Parikh, Anvitha Ramachandran +4

The paper introduces FOLIO, a training‑free focused semantic memory system that records detailed information about important entities in a streaming video while compactly storing s…

cs.SE2026

SWE-Milestone: Evaluating AI Agents on Continuous Software Evolution

Gangda Deng, Zhaoling Chen, Zhongming Yu +11

Real-world software must continuously evolve to meet ever-changing and open-ended requirements. AI agents, increasingly deployed as long-running systems, are now entrusted to drive…

cs.CV2026

Vision Non-Causal Trapezoidal Mamba: Eliminating Directional Scanning in Vision SSMs with Second-Order Dynamics

Anvitha Ramachandran, Dhruv Parikh, Haoyang Fan +2

State Space Models (SSMs) have emerged as an alternative to Vision Transformers, yet most vision SSMs inherit directional token scanning from causal sequence modeling. While effect…

cs.LG2026

Accurate and Resource-Efficient Federated Continual Learning

Jebacyril Arockiaraj, Dhruv Parikh, Jayashree Adivarahan +2

Federated continual learning (FCL) must learn from distributed task streams under limited resources, such as communication, computation, memory, and label availability. Existing FC…

cs.AR2026

Efficient and Accurate Graph Classification with Hyperdimensional Computing on FPGA

Jebacyril Arockiaraj, Dhruv Parikh, Viktor Prasanna

Real-time, energy-efficient inference on edge devices is essential for graph classification across a range of applications. Hyperdimensional Computing (HDC) is a brain-inspired com…

cs.CV2026

Can Graphs Help Vision SSMs See Better?

Dhruv Parikh, Anvitha Ramachandran, Haoyang Fan +3

Vision state space models inherit the efficiency and long-range modeling ability of Mamba-style selective scans. However, their performance depends critically on the representation…