19 citations · 57 across the 12 of their papers we have counts for
6 papers · 1 filter
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…
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong H. Le, Khoi D. Nguyen, Khoi Nguyen +3
In this work, we propose to use out-of-distribution samples, i.e., unlabeled samples coming from outside the target classes, to improve few-shot learning. Specifically, we exploit…
iFS-RCNN: An Incremental Few-shot Instance Segmenter
Khoi Nguyen, Sinisa Todorovic
This paper addresses incremental few-shot instance segmentation, where a few examples of new object classes arrive when access to training examples of old classes is not available…