1 citations · 2 across the 15 of their papers we have counts for
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HP2-SLAM: Adaptive Hybrid ICP for Robust and Efficient LiDAR SLAM
Nam Tran, Thu Tran, Hieu Phan +4
Achieving robustness, accuracy, and efficiency simultaneously remains a central challenge in light detection and ranging (LiDAR) simultaneous localization and mapping (SLAM). While…
Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios
Wongi Park, Jiyeon Lim, Minjae Lee +6
We present RefineSplat, a systematic framework that effectively constructs transient masks to identify diverse ambiguous distractors. To do this, we qualitatively and quantitativel…
Simulation-Based Multi-Fillet Evaluation of Woody Breast Poultry Fillets
Chirantan Sen Mukherjee, Seung-Chul Yoon, William J. Beksi
Woody breast (WB) is a myopathy in modern broiler chickens that causes the breast muscle to become unusually stiff and fibrous, leading to decreased meat quality and significant ec…
Energy-Based Open-Set Active Learning for Object Classification
Zongyao Lyu, William J. Beksi
Active learning (AL) has emerged as a crucial methodology for minimizing labeling costs in deep learning by selecting the most valuable samples from a pool of unlabeled data for an…
Difix3D-W: Distractor-Free Few-Shot 3D Gaussian Splatting in the Wild
Wongi Park, Jordan A. James, Myeongseok Nam +4
We propose Difix3D-W, a 3D novel sparse-view synthesis framework for unconstrained real-world scenarios that contain distractors, occlusion, and appearance variation. Unlike existi…
CropNeRF: A Neural Radiance Field-Based Framework for Crop Counting
Md Ahmed Al Muzaddid, William J. Beksi
Rigorous crop counting is crucial for effective agricultural management and informed intervention strategies. However, in outdoor field environments, partial occlusions combined wi…