Rongrong Ji

Learning Similarity-specific Dictionary for Zero-shot Fine-grained Recognition

2019

In this paper, we study the problem of zero-shot fine-grained recognition. It aims to distinguish unseen subordinate categories through some other seen categories within an entry-level category. We demonstrate the necessity to learn multiple latent …

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training

2021 · arXiv (Cornell University)

A resource-adaptive supernet adjusts its subnets for inference to fit the dynamically available resources. In this paper, we propose prioritized subnet sampling to train a resource-adaptive supernet, termed PSS-Net. We maintain multiple subnet pools, each …

Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction

2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Patient survival prediction based on gigapixel whole-slide histopathological images (WSIs) has become increasingly prevalent in recent years. A key challenge of this task is achieving an informative survival-specific global representation from those WSIs with highly …