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20232026
most citedLeveraging Vision Language Models for Specialized Agricultural Tasks

3 citations · 11 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier Models

Shivani Chiranjeevi, Hossein Zaremehrjerdi, Zi K. Deng +9

The rapid global loss of biodiversity, particularly among insects, represents an urgent ecological crisis. Current methods for insect species discovery are manual, slow, and severe…

cs.CV2025

Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes

Kelly O. Marshall, Omid Poursaeed, Sergiu Oprea +5

3D indoor scene generation is an important problem for the design of digital and real-world environments. To automate this process, a scene generation model should be able to not o…

cs.CV2025

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception

Joshua R. Waite, Md. Zahid Hasan, Qisai Liu +3

Vision-language model (VLM) fine-tuning for application-specific visual grounding based on natural language instructions has become one of the most popular approaches for learning-…

cs.CV2025★ 1 cited

STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology

Anushrut Jignasu, Ethan Herron, Zhanhong Jiang +5

We present STITCH, a novel approach for neural implicit surface reconstruction of a sparse and irregularly spaced point cloud while enforcing topological constraints (such as havin…

cs.CV2024★ 2 cited

Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing

Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra +5

G-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the moveme…

cs.CV2023

Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing

A K Nirala, A Joshi, C Hegde +1

A key benefit of deep vision-language models such as CLIP is that they enable zero-shot open vocabulary classification; the user has the ability to define novel class labels via na…