5 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CV2023
PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
Inyong Koo, Inyoung Lee, Se-Ho Kim +3
One of the main challenges in LiDAR-based 3D object detection is that the sensors often fail to capture the complete spatial information about the objects due to long distance and…
cs.CV2022★ 5 cited
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
Junyoung Byun, Seungju Cho, Myung-Joon Kwon +2
The transferability of adversarial examples allows the deception on black-box models, and transfer-based targeted attacks have attracted a lot of interest due to their practical ap…
cs.CV2022★ 1 cited
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition
Byeongjun Park, Jeongsoo Kim, Seungju Cho +2
Label distributions in camera-trap images are highly imbalanced and long-tailed, resulting in neural networks tending to be biased towards head-classes that appear frequently. Alth…