Jonathan Li
Identifiers
- name variant Jonathan Li 0.60 · backfill
Papers (68)
- Securing Multi-Agent GIS Systems: Risk Evaluation and Prompt Hardening Optimization cs.CR · 2026 · author #4
- Training-Free Looped Transformers cs.LG · 2026 · author #2
- $\phi$-Balancing for Mixture-of-Experts Training cs.LG · 2026 · author #2
- Real-Scale Island Area and Coastline Estimation using Only its Place Name or Coordinates cs.CV · 2026 · author #7
- Rapid Forest Fuel Load Estimation via Virtual Remote Sensing and Metric-Scale Feed-Forward 3D Reconstruction cs.CV · 2026 · author #9
- Advancing Reliable Synthetic Video Detection: Insights from the SAFE Challenge cs.CV · 2026 · author #3
- SparseGF: A Height-Aware Sparse Segmentation Framework with Context Compression for Robust Ground Filtering Across Urban to Natural Scenes cs.CV · 2026 · author #7
- SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators cs.AI · 2025 · author #1
- PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting cs.CV · 2025 · author #8
- Synthetic Document Question Answering in Hungarian cs.CV · 2025 · author #1
- Radial Isotropic Position via an Implicit Newton's Method cs.DS · 2025 · author #2
- Command A: An Enterprise-Ready Large Language Model cs.CL · 2025 · author #130
- LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference cs.CL · 2025 · author #5
- Composition of Experts: A Modular Compound AI System Leveraging Large Language Models cs.LG · 2024 · author #5
- Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration cs.CV · 2024 · author #6
- Phase stability in the Hf-N and Zr-N systems cond-mat.mtrl-sci · 2024 · author #1
- Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery cs.CV · 2024 · author #7
- Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice cs.CL · 2024 · author #1
- Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge cs.LG · 2024 · author #4
- L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection cs.CV · 2024 · author #7
- UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation cs.CV · 2024 · author #6
- Efficient Point Transformer with Dynamic Token Aggregating for LiDAR Point Cloud Processing cs.CV · 2024 · author #5
- 3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation cs.CV · 2024 · author #5
- Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery cs.CV · 2024 · author #5
- Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data cs.LG · 2024 · author #2
- TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction cs.LG · 2024 · author #2
- Evaluating AI for Law: Bridging the Gap with Open-Source Solutions cs.AI · 2024 · author #3
- SambaLingo: Teaching Large Language Models New Languages cs.CL · 2024 · author #3
- Decoupled Local Aggregation for Point Cloud Learning cs.CV · 2023 · author #5
- The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot cs.CV · 2023 · author #6
- Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction cs.CV · 2023 · author #3
- Dynamic Clustering Transformer Network for Point Cloud Segmentation cs.CV · 2023 · author #7
- Prefix Propagation: Parameter-Efficient Tuning for Long Sequences cs.CL · 2023 · author #1
- MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture cs.CV · 2023 · author #5
- Parameter-Efficient Legal Domain Adaptation cs.CL · 2022 · author #1
- NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) cs.CV · 2022 · author #6
- 3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation cs.CV · 2022 · author #5
- CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset cs.CV · 2022 · author #8
- Transformers in 3D Point Clouds: A Survey cs.CV · 2022 · author #6
- 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification cs.CV · 2022 · author #4
- Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision cs.CV · 2022 · author #5
- Direction-aware Feature-level Frequency Decomposition for Single Image Deraining cs.CV · 2021 · author #6
- Monitoring surface deformation over oilfield using MT-InSAR and production well data eess.IV · 2021 · author #5
- The impact of data volume on performance of deep learning based building rooftop extraction using very high spatial resolution aerial images cs.CV · 2021 · author #18
- Semantic Segmentation with Labeling Uncertainty and Class Imbalance cs.CV · 2021 · author #9
- Counting and Locating High-Density Objects Using Convolutional Neural Network cs.CV · 2021 · author #9
- A Deep Learning Approach Based on Graphs to Detect Plantation Lines cs.CV · 2021 · author #9
- OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World cs.CV · 2021 · author #5
- A Review on Deep Learning in UAV Remote Sensing cs.CV · 2021 · author #10
- A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery cs.CV · 2020 · author #11
- UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks cs.CV · 2020 · author #6
- Climbing the WOL: Training for Cheaper Inference cs.IR · 2020 · author #4
- Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review cs.CV · 2020 · author #6
- Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways cs.CV · 2020 · author #8
- Deep convolutional neural network application on rooftop detection for aerial image cs.CV · 2019 · author #2
- PipeMare: Asynchronous Pipeline Parallel DNN Training cs.DC · 2019 · author #3
- Squeeze-and-Attention Networks for Semantic Segmentation cs.CV · 2019 · author #8
- PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds cs.CV · 2019 · author #1
- RF-Net: An End-to-End Image Matching Network based on Receptive Field cs.CV · 2019 · author #5
- Fast Regularity-Constrained Plane Reconstruction cs.CV · 2019 · author #6
- Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification eess.IV · 2019 · author #2
- LO-Net: Deep Real-time Lidar Odometry cs.CV · 2019 · author #7
- NeuroTreeNet: A New Method to Explore Horizontal Expansion Network cs.CV · 2018 · author #7
- Geometric Multi-Model Fitting by Deep Reinforcement Learning cs.CV · 2018 · author #3
- Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification cs.CV · 2018 · author #2
- Traffic Sign Timely Visual Recognizability Evaluation Based on 3D Measurable Point Clouds cs.CV · 2017 · author #5
- Partial Procedural Geometric Model Fitting for Point Clouds cs.GR · 2016 · author #2
- Robust Scene Text Recognition Using Sparse Coding based Features cs.CV · 2015 · author #4
Mentions
- 2508.00259 #8 · arxiv_oai · confidence 0.70 Jonathan Li
- 2405.01607 #2 · arxiv_oai · confidence 0.70 Jonathan Li
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- 2504.00698 #130 · arxiv_oai · confidence 0.70 Jonathan Li
- 2504.05687 #2 · arxiv_oai · confidence 0.70 Jonathan Li
- 2503.08879 #5 · arxiv_oai · confidence 0.70 Jonathan Li
- 2408.03677 #7 · arxiv_oai · confidence 0.70 Jonathan Li
- 2405.15826 #5 · arxiv_oai · confidence 0.70 Jonathan Li
- 2405.15827 #5 · arxiv_oai · confidence 0.70 Jonathan Li
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- 2410.14013 #1 · arxiv_oai · confidence 0.70 Jonathan Li
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- 2409.07713 #1 · arxiv_oai · confidence 0.70 Jonathan Li
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- 2305.12086 #1 · arxiv_oai · confidence 0.70 Jonathan Li
- 2305.02813 #5 · arxiv_oai · confidence 0.70 Jonathan Li
- 2210.13712 #1 · arxiv_oai · confidence 0.70 Jonathan Li
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- 2012.15827 #11 · arxiv_oai · confidence 0.70 Jonathan Li
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- 2201.02963 #5 · arxiv_oai · confidence 0.70 Jonathan Li
- 2010.11106 #6 · arxiv_oai · confidence 0.70 Jonathan Li
- 2103.09300 #18 · arxiv_oai · confidence 0.70 Jonathan Li
- 2106.07941 #6 · arxiv_oai · confidence 0.70 Jonathan Li
- 2101.09641 #5 · arxiv_oai · confidence 0.70 Jonathan Li
- 2103.10985 #5 · arxiv_oai · confidence 0.70 Jonathan Li
- 2102.03213 #9 · arxiv_oai · confidence 0.70 Jonathan Li
- 2003.08284 #8 · arxiv_oai · confidence 0.70 Jonathan Li
- 2007.01230 #4 · arxiv_oai · confidence 0.70 Jonathan Li
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- 1906.08476 #1 · arxiv_oai · confidence 0.70 Jonathan Li
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- 1905.07922 #6 · arxiv_oai · confidence 0.70 Jonathan Li
- 1905.04621 #2 · arxiv_oai · confidence 0.70 Jonathan Li
- 1809.08397 #3 · arxiv_oai · confidence 0.70 Jonathan Li
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- 1512.08669 #4 · arxiv_oai · confidence 0.70 Jonathan Li
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Frequent Coauthors
- Linlin Xu 13 shared papers
- Kyle Gao 12 shared papers
- Cheng Wang 11 shared papers
- Dening Lu 8 shared papers
- Hongjie He 8 shared papers
- Lingfei Ma 7 shared papers
- Jos\'e Marcato Junior 6 shared papers
- Lucas Prado Osco 6 shared papers
- Wesley Nunes Gon\c{c}alves 6 shared papers
- Ana Paula Marques Ramos 5 shared papers
- Bo Li 5 shared papers
- Chenglu Wen 5 shared papers
- Urmish Thakker 5 shared papers
- Yiping Chen 5 shared papers
- David A. Clausi 4 shared papers
- Diogo Nunes Gon\c{c}alves 4 shared papers
- Rohan Bhambhoria 4 shared papers
- Xiaodan Zhu 4 shared papers
- Zilong Zhong 4 shared papers
- Dedong Zhang 3 shared papers