15 publications, 12 as first or co-first author and 6 introducing public datasets or benchmarks. Also on Google Scholar.
WACV 2027 accepted
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Datasets Track First public benchmark for fallen-log detection in centimeter-resolution UAV orthomosaics: 10,399 verified instances with oriented boxes and masks, paired LiDAR and photogrammetric height models, and a centerline-based metric for elongated objects.
OASIS @ SIGSPATIAL 2026
1st ACM SIGSPATIAL Student Challenge on Open Agents with Spatial Intelligence for Social Good (OASIS 2026) Challenge finalist. A hybrid agentic system that pairs LLM agents for location, structure and reasoning with deterministic geospatial tools for flood assessment, facility discovery and evacuation routing.
EarthVision @ CVPR 2026
EarthVision Workshop, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) A semi-automated annotation pipeline that uses classifier Grad-CAM heatmaps to re-localize imprecise public CAFO records and refine them into facility boxes and infrastructure-level labels, with curated hard negatives and validated synthetic imagery from GroundingDINO-guided Stable Diffusion inpainting to benchmark robustness under distribution shift.
WACV 2026
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Infrastructure-first, explainable CAFO mapping: YOLO detects barns, lagoons and feedlots, SAM turns them into geometry-filtered masks, and structural descriptors fused with deep visual features classify the facility type and tie each decision to visible infrastructure.
NeurIPS 2025
Advances in Neural Information Processing Systems (NeurIPS) A scalable pipeline that aligns raster, vector and point data (soil, hydrology, crops, land use, climate) on a common 10 m grid and turns tabular attributes into domain-informed text prompts: 1.4M pixel-aligned image–text patches across 20 states for benchmarking vision and vision–language models.
IJCAI 2025
International Joint Conference on Artificial Intelligence (IJCAI) An iterative framework that couples semantic segmentation (RGB, NDWI and elevation inputs) with graph-based reachability constraints that repair incomplete canal ground truth, then retrains on the refined labels; a different graph constraint carries it over to road networks. Also proposes r-neighborhood metrics (rIoU, rPrecision, rRecall, rF1) that tolerate the small offsets of single-pixel annotations of thin structures.
IJCAI 2025
International Joint Conference on Artificial Intelligence (IJCAI) A Swin-Transformer segmentation model that injects agronomic knowledge: a projection matrix encoding crop-to-irrigation probabilities, a spatial attention map separating farmland from non-agricultural land, bi-directional cross-attention between image and crop modalities, a weighted ensemble, and two-phase transfer learning across states.
KDD 2025
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) An extensible, ML-ready pipeline that fuses multi-resolution Landsat and Sentinel imagery with crop type, land use and vegetation indices into 1.1M geospatially aligned 224×224 patches, with curated train–test splits, dataloaders and benchmark segmentation models.
Water Resources Research 2024
Water Resources Research, 60(8)
V4A @ CVPR 2024
Vision for Agriculture Workshop, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) An incremental patch-size training scheme in which models learn fine field-level detail on small patches before broader landscape context on progressively larger ones, for irrigation mapping from Landsat 5 and 7 imagery.
Scientific Data 2023
Scientific Data (Nature)
SN Computer Science 2021
SN Computer Science, 2(4)
ICCIT 2020
23rd International Conference on Computer and Information Technology (ICCIT)
MLCSA @ ACCV 2020
Machine Learning and Computing for Visual Semantic Analysis Workshop, Asian Conference on Computer Vision (ACCV) From my undergraduate thesis.
ICIET 2018
International Conference on Innovations in Engineering and Technology (ICIET) From my undergraduate thesis.
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