Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques, and Multimodal Machine Learning Applications.
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
Occluded Video Instance Segmentation: A Benchmark
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
The Ninth Visual Object Tracking VOT2021 Challenge Results
The Eighth Visual Object Tracking VOT2020 Challenge Results
Res2Net: A New Multi-Scale Backbone Architecture
Fast Online Object Tracking and Segmentation: A Unifying Approach
Deeply Supervised Salient Object Detection with Short Connections
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Sequential Optimization for Efficient High-Quality Object Proposal Generation
Fully-Convolutional Siamese Networks for Object Tracking
Conditional Random Fields as Recurrent Neural Networks
Struck: Structured Output Tracking with Kernels
The Visual Object Tracking VOT2014 Challenge Results
Global Contrast Based Salient Region Detection