8 papers
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…
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…
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…
CropTrack: A Tracking with Re-Identification Framework for Precision Agriculture
Md Ahmed Al Muzaddid, Jordan A. James, William J. Beksi
Multiple-object tracking (MOT) in agricultural environments presents major challenges due to repetitive patterns, similar object appearances, sudden illumination changes, and frequ…
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…