940 citations · 2.5k across the 35 of their papers we have counts for
6 papers · 1 filter
SOLO: Segmenting Objects by Locations
Xinlong Wang, Tao Kong, Chunhua Shen +2
We present a new, embarrassingly simple approach to instance segmentation in images. Compared to many other dense prediction tasks, e.g., semantic segmentation, it is the arbitrary…
Deep Point-wise Prediction for Action Temporal Proposal
Luxuan Li, Tao Kong, Fuchun Sun +1
Detecting actions in videos is an important yet challenging task. Previous works usually utilize (a) sliding window paradigms, or (b) per-frame action scoring and grouping to enume…
Task-Aware Monocular Depth Estimation for 3D Object Detection
Xinlong Wang, Wei Yin, Tao Kong +3
Monocular depth estimation enables 3D perception from a single 2D image, thus attracting much research attention for years. Almost all methods treat foreground and background regio…
Attention-based Transfer Learning for Brain-computer Interface
Chuanqi Tan, Fuchun Sun, Tao Kong +2
Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) fi…
FoveaBox: Beyond Anchor-based Object Detector
Tao Kong, Fuchun Sun, Huaping Liu +3
We present FoveaBox, an accurate, flexible, and completely anchor-free framework for object detection. While almost all state-of-the-art object detectors utilize predefined anchors…
Consistent Optimization for Single-Shot Object Detection
Tao Kong, Fuchun Sun, Huaping Liu +2
We present consistent optimization for single stage object detection. Previous works of single stage object detectors usually rely on the regular, dense sampled anchors to generate…