Search Results for author: Bowen Deng

Found 11 papers, 5 papers with code

Application of RESNET50 Convolution Neural Network for the Extraction of Optical Parameters in Scattering Media

no code implementations25 Apr 2024 Bowen Deng, Yihan Zhang, Andrew Parkes, Alex Bentley, Amanda Wright, Michael Pound, Michael Somekh

Estimation of the optical properties of scattering media such as tissue is important in diagnostics as well as in the development of techniques to image deeper.

Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks

1 code implementation CVPR 2024 Bowen Deng, Siyang Song, Andrew P. French, Denis Schluppeck, Michael P. Pound

Saliency ranking detection (SRD) has emerged as a challenging task in computer vision aiming not only to identify salient objects within images but also to rank them based on their degree of saliency.

Saliency Ranking

Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

2 code implementations28 Aug 2023 Janosh Riebesell, Rhys E. A. Goodall, Philipp Benner, Yuan Chiang, Bowen Deng, Alpha A. Lee, Anubhav Jain, Kristin A. Persson

The top 3 models are UIPs, the winning methodology for ML-guided materials discovery, achieving F1 scores of ~0. 6 for crystal stability classification and discovery acceleration factors (DAF) of up to 5x on the first 10k most stable predictions compared to dummy selection from our test set.

Formation Energy

Catalysis distillation neural network for the few shot open catalyst challenge

no code implementations31 May 2023 Bowen Deng

To address the challenge of limited data in catalysis, we propose a machine learning approach based on MLP-Like and a framework called Catalysis Distillation Graph Neural Network (CDGNN).

Few-Shot Learning Graph Neural Network +1

CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling

1 code implementation28 Feb 2023 Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder

The simulation of large-scale systems with complex electron interactions remains one of the greatest challenges for the atomistic modeling of materials.

Atomic Forces Graph Neural Network

TadML: A fast temporal action detection with Mechanics-MLP

1 code implementation7 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 +2

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

no code implementations23 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 implementation4 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.

Decoder object-detection +2

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

no code implementations23 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

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