Search Results for author: TianHao Li

Found 7 papers, 1 papers with code

SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata

no code implementations27 Oct 2021 Ajay Jaiswal, TianHao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding

In this paper, we proposed a novel and simple data augmentation method based on patient metadata and supervised knowledge to create clinically accurate positive and negative augmentations for chest X-rays.

Contrastive Learning Data Augmentation

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

no code implementations10 Sep 2021 Zhenzhi Wang, LiMin Wang, Tao Wu, TianHao Li, Gangshan Wu

Instead, from a perspective on temporal grounding as a metric-learning problem, we present a Dual Matching Network (DMN), to directly model the relations between language queries and video moments in a joint embedding space.

Metric Learning Representation Learning

Self Supervision to Distillation for Long-Tailed Visual Recognition

no code implementations ICCV 2021 TianHao Li, LiMin Wang, Gangshan Wu

In this paper, we show that soft label can serve as a powerful solution to incorporate label correlation into a multi-stage training scheme for long-tailed recognition.

Vision-Based Food Analysis for Automatic Dietary Assessment

no code implementations6 Aug 2021 Wei Wang, Weiqing Min, TianHao Li, Xiaoxiao Dong, Haisheng Li, Shuqiang Jiang

Vision-based food analysis methods, including food recognition, detection and segmentation, are systematically summarized, and methods of volume estimation and nutrient derivation are also given.

Food Recognition

A parallel-network continuous quantitative trading model with GARCH and PPO

no code implementations8 May 2021 Zhishun Wang, Wei Lu, Kaixin Zhang, TianHao Li, Zixi Zhao

It is a difficult task for both professional investors and individual traders continuously making profit in stock market.

Decision Making

Mean Field MARL Based Bandwidth Negotiation Method for Massive Devices Spectrum Sharing

no code implementations30 Apr 2021 TianHao Li, Yu Tian, Shuai Yuan, Naijin Liu

In this paper, a novel bandwidth negotiation mechanism is proposed for massive devices wireless spectrum sharing, in which individual device locally negotiates bandwidth usage with neighbor devices and globally optimal spectrum utilization is achieved through distributed decision-making.

Decision Making Distributed Optimization +1

Learning Spatiotemporal Features via Video and Text Pair Discrimination

1 code implementation16 Jan 2020 Tianhao Li, Li-Min Wang

In addition, our CPD model yields a new state of the art for zero-shot action recognition on UCF101 by directly utilizing the learnt visual-textual embeddings.

Action Classification Action Recognition +3

Cannot find the paper you are looking for? You can Submit a new open access paper.