7.7k citations
- Temple UniversityUS139 papers
- Argonne National LaboratoryUS32 papers
- Brookhaven National LaboratoryUS25 papers
- Lawrence Berkeley National LaboratoryUS24 papers
- Shandong UniversityCN23 papers
- University of HoustonUS23 papers
- Michigan State UniversityUS22 papers
- University of California SystemUS21 papers
- Kent State UniversityUS20 papers
- Tsinghua UniversityCN20 papers
- University of Science and Technology of ChinaCN20 papers
- Yale UniversityUS20 papers
8 papers · 1 filter
Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications
Gautham Ramajayam, Tao Sun, Chiu C. Tan +2
Many critical applications rely on cameras to capture video footage for analytical purposes. This has led to concerns about these cameras accidentally capturing more information th…
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation
Xinyi Li, Haibin Ling
Camera pose estimation or camera relocalization is the centerpiece in numerous computer vision tasks such as visual odometry, structure from motion (SfM) and SLAM. In this paper we…
Feature Space Augmentation for Long-Tailed Data
Peng Chu, Xiao Bian, Shaopeng Liu +1
Real-world data often follow a long-tailed distribution as the frequency of each class is typically different. For example, a dataset can have a large number of under-represented c…
Dually Supervised Feature Pyramid for Object Detection and Segmentation
Fan Yang, Cheng Lu, Yandong Guo +2
Feature pyramid architecture has been broadly adopted in object detection and segmentation to deal with multi-scale problem. However, in this paper we show that the capacity of the…
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
Heng Fan, Fan Yang, Peng Chu +2
Generic visual tracking is difficult due to many challenge factors (e.g., occlusion, blur, etc.). Each of these factors may cause serious problems for a tracking algorithm, and whe…
Generic Multiview Visual Tracking
Minye Wu, Haibin Ling, Ning Bi +3
Recent progresses in visual tracking have greatly improved the tracking performance. However, challenges such as occlusion and view change remain obstacles in real world deployment…