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Chapter and Conference Paper
Few-Shot Object Counting and Detection
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 class. This task shares the s...
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Chapter and Conference Paper
Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter
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 instances of this target class i...
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Chapter and Conference Paper
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
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 appearance alignment via fram...