research
∙
09/09/2023
A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos
Detecting breast lesion in videos is crucial for computer-aided diagnosi...
share
research
∙
06/06/2023
DFormer: Diffusion-guided Transformer for Universal Image Segmentation
This paper introduces an approach, named DFormer, for universal image se...
research
∙
04/24/2023
Transformer-based stereo-aware 3D object detection from binocular images
Vision Transformers have shown promising progress in various object dete...
research
∙
03/21/2023
LEAPS: End-to-End One-Step Person Search With Learnable Proposals
We propose an end-to-end one-step person search approach with learnable ...
research
∙
02/09/2023
Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search
Weakly supervised person search aims to perform joint pedestrian detecti...
research
∙
07/26/2022
TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking
Multiple object tracking (MOT) is the task containing detection and asso...
research
∙
04/07/2022
PSTR: End-to-End One-Step Person Search With Transformers
We propose a novel one-step transformer-based person search framework, P...
research
∙
03/24/2022
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer
State-of-the-art transformer-based video instance segmentation (VIS) app...
research
∙
11/28/2021
EGFN: Efficient Geometry Feature Network for Fast Stereo 3D Object Detection
Fast stereo based 3D object detectors have made great progress in the se...
research
∙
06/18/2021
Shape Prior Non-Uniform Sampling Guided Real-time Stereo 3D Object Detection
Pseudo-LiDAR based 3D object detectors have gained popularity due to the...
research
∙
03/16/2021
Track to Detect and Segment: An Online Multi-Object Tracker
Most online multi-object trackers perform object detection stand-alone i...
research
∙
12/03/2020
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Object detectors usually achieve promising results with the supervision ...
research
∙
11/18/2020
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
Vehicles, pedestrians, and riders are the most important and interesting...
research
∙
10/01/2020
From Handcrafted to Deep Features for Pedestrian Detection: A Survey
Pedestrian detection is an important but challenging problem in computer...
research
∙
07/29/2020
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Single-stage instance segmentation approaches have recently gained popul...
research
∙
01/18/2020
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
Due to the advantages of real-time detection and improved performance, s...
research
∙
09/25/2018
Triply Supervised Decoder Networks for Joint Detection and Segmentation
Joint object detection and semantic segmentation can be applied to many ...
research
∙
04/03/2018
Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection
To better detect pedestrians of various scales, deep multi-scale methods...
research
∙
03/01/2016
