19 citations · 57 across the 12 of their papers we have counts for
12 papers
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
Instance segmentation on 3D point clouds (3DIS) is a longstanding challenge in computer vision, where state-of-the-art methods are mainly based on full supervision. As annotating g…
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution
Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
Existing 3D instance segmentation methods are predominated by the bottom-up design -- manually fine-tuned algorithm to group points into clusters followed by a refinement network.…
PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement
Hue Nguyen, Diep Tran, Khoi Nguyen +1
The extremes of lighting (e.g. too much or too little light) usually cause many troubles for machine and human vision. Many recent works have mainly focused on under-exposure cases…
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter
Tuan Ngo, Khoi Nguyen
This paper introduces a new problem in 3D point cloud: few-shot instance segmentation. Given a few annotated point clouds exemplified a target class, our goal is to segment all ins…
Few-shot Object Counting and Detection
Thanh Nguyen, Chau Pham, Khoi Nguyen +1
We tackle a new task of few-shot object counting and detection. Given a few exemplar bounding boxes of a target object class, we seek to count and detect all objects of the target…
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen +2
We present a novel method for few-shot video classification, which performs appearance and temporal alignments. In particular, given a pair of query and support videos, we conduct…