TadML: A fast temporal action detection with Mechanics-MLP

1 code implementation • 7 Jun 2022 • Bowen Deng, Dongchang Liu

Temporal Action Detection(TAD) is a crucial but challenging task in video understanding. It is aimed at detecting both the type and start-end frame for each action instance in a long, untrimmed video. Most current models adopt both RGB and Optical-Flow streams for the TAD task.

Action Detection Optical Flow Estimation +1

ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols

no code implementations • 23 Jan 2022 • Zheren Wang, Kevin Cruse, Yuxing Fei, Ann Chia, Yan Zeng, Haoyan Huo, Tanjin He, Bowen Deng, Olga Kononova, Gerbrand Ceder

This work is an important step towards creating a synthesis ontology and a solid foundation for autonomous robotic synthesis.

Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies

1 code implementation • 4 Nov 2021 • Bowen Deng, Andrew P. French, Michael P. Pound

In this paper, we directly address the problem of detecting multiple salient objects across complex scenes.

object-detection Object Detection +1

Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow

no code implementations • 23 May 2018 • Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig

For tasks like code synthesis from natural language, code retrieval, and code summarization, data-driven models have shown great promise.

Code Summarization Retrieval +1