activity
20212026
most citedEnd-to-end deep learning for directly estimating grape yield from ground-based imagery

40 citations · 55 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?

Rishi Desai, Jesse Hu, Joan Cabezas +23

AI agents are increasingly expected to complete long-horizon workflows that require sustained progress over hours, millions of tokens, and complex environments. Yet current agent b…

cs.CL2025

ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark

Vaskar Nath, Pranav Raja, Claire Yoon +1

Despite recent advances in AI, the development of systems capable of executing complex, multi-step reasoning tasks involving multiple tools remains a significant challenge. Current…

cs.CL2024★ 12 cited

A Careful Examination of Large Language Model Performance on Grade School Arithmetic

Hugh Zhang, Jeff Da, Dean Lee +12

Large language models (LLMs) have achieved impressive success on many benchmarks for mathematical reasoning. However, there is growing concern that some of this performance actuall…

cs.CV2023★ 1 cited

Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models

Will LeVine, Benjamin Pikus, Pranav Raja +1

Calibration of deep learning models is crucial to their trustworthiness and safe usage, and as such, has been extensively studied in supervised classification models, with methods…

cs.CV2022★ 40 cited

End-to-end deep learning for directly estimating grape yield from ground-based imagery

Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei +4

Yield estimation is a powerful tool in vineyard management, as it allows growers to fine-tune practices to optimize yield and quality. However, yield estimation is currently perfor…

eess.IV2022

A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory

Devin A. Rippner, Pranav Raja, J. Mason Earles +8

X-ray micro-computed tomography (X-ray microCT) has enabled the characterization of the properties and processes that take place in plants and soils at the micron scale. Despite th…

cs.CV2021★ 2 cited

Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression

Pranav Raja, Alex Olenskyj, Hamid Kamangir +1

Trait measurement is critical for the plant breeding and agricultural production pipeline. Typically, a suite of plant traits is measured using laborious manual measurements and th…