24 citations · 43 across the 9 of their papers we have counts for
9 papers
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation
Quan Tang, Bowen Zhang, Jiajun Liu +2
Vision transformers have achieved leading performance on various visual tasks yet still suffer from high computational complexity. The situation deteriorates in dense prediction ta…
Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection
Bingqing Zhang, Sen Wang, Yifan Liu +3
Current video object detection (VOD) models often encounter issues with over-aggregation due to redundant aggregation strategies, which perform feature aggregation on every frame.…
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
Shujie Zhang, Tianyue Zheng, Zhe Chen +4
Hand Pose Estimation (HPE) is crucial to many applications, but conventional cameras-based CM-HPE methods are completely subject to Line-of-Sight (LoS), as cameras cannot capture o…
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
Kunyang Han, Yong Liu, Jun Hao Liew +8
Recent advancements in pre-trained vision-language models, such as CLIP, have enabled the segmentation of arbitrary concepts solely from textual inputs, a process commonly referred…
Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds
Ziwei Wang, Reza Arablouei, Jiajun Liu +3
Object classification using LiDAR 3D point cloud data is critical for modern applications such as autonomous driving. However, labeling point cloud data is labor-intensive as it re…
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval
Guoping Zhao, Bingqing Zhang, Mingyu Zhang +3
We propose a video feature representation learning framework called STAR-GNN, which applies a pluggable graph neural network component on a multi-scale lattice feature graph. The e…