1 citations · 2 across the 4 of their papers we have counts for
4 papers
Seed2GS: Camera-Free, Training-Free Object Extraction from 3D Gaussian Scenes via a Single Reference-View Grounding
Zongjian Ding, Yudong Gao, Jiale Liu +7
Extracting a target object from a pre-built 3D Gaussian Splatting (3DGS) scene enables interactive 3D editing. Existing methods either train for tens of minutes per scene, sacrific…
Hierarchical Graph Convolutional Skeleton Transformer for Action Recognition
Ruwen Bai, Min Li, Bo Meng +4
Graph convolutional networks (GCNs) have emerged as dominant methods for skeleton-based action recognition. However, they still suffer from two problems, namely, neighborhood const…
Rethinking the Misalignment Problem in Dense Object Detection
Yang Yang, Min Li, Bo Meng +3
Object detection aims to localize and classify the objects in a given image, and these two tasks are sensitive to different object regions. Therefore, some locations predict high-q…
Objects as Extreme Points
Yang Yang, Min Li, Bo Meng +3
Object detection can be regarded as a pixel clustering task, and its boundary is determined by four extreme points (leftmost, top, rightmost, and bottom). However, most studies foc…