Search Results for author: Feng Cheng

Found 12 papers, 8 papers with code

DAM: Dynamic Adapter Merging for Continual Video QA Learning

1 code implementation13 Mar 2024 Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius

Our DAM model outperforms prior state-of-the-art continual learning approaches by 9. 1% while exhibiting 1. 9% less forgetting on 6 VidQA datasets spanning various domains.

Continual Learning Image Classification +2

Large Language Models in Cybersecurity: State-of-the-Art

no code implementations30 Jan 2024 Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd, Pejman Najafi, Feng Cheng, Christoph Meinel

The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence.

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

no code implementations30 Nov 2023 Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzalez, Prince Gupta, Jiabo Hu, Yifei HUANG, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, David Crandall, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray

We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge.

Video Understanding

LoCoNet: Long-Short Context Network for Active Speaker Detection

1 code implementation19 Jan 2023 Xizi Wang, Feng Cheng, Gedas Bertasius, David Crandall

These two contexts are complementary to each other and can help infer the active speaker.

VindLU: A Recipe for Effective Video-and-Language Pretraining

1 code implementation CVPR 2023 Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius

Furthermore, our model also obtains state-of-the-art video question-answering results on ActivityNet-QA, MSRVTT-QA, MSRVTT-MC and TVQA.

Ranked #2 on Video Retrieval on Condensed Movies (using extra training data)

Question Answering Retrieval +3

TALLFormer: Temporal Action Localization with a Long-memory Transformer

1 code implementation4 Apr 2022 Feng Cheng, Gedas Bertasius

To address these issues, we propose TALLFormer, a memory-efficient and end-to-end trainable Temporal Action Localization Transformer with Long-term memory.

Action Recognition Temporal Action Localization

Using Single-Trial Representational Similarity Analysis with EEG to track semantic similarity in emotional word processing

no code implementations4 Oct 2021 Feng Cheng

Electroencephalography (EEG) is a powerful non-invasive brain imaging technique with a high temporal resolution that has seen extensive use across multiple areas of cognitive science research.

EEG Electroencephalogram (EEG) +2

Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload

no code implementations23 Mar 2021 Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He

The use of deep learning models for forecasting the resource consumption patterns of SQL queries have recently been a popular area of study.

Learning Directional Feature Maps for Cardiac MRI Segmentation

1 code implementation22 Jul 2020 Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu

Cardiac MRI segmentation plays a crucial role in clinical diagnosis for evaluating personalized cardiac performance parameters.

Cardiac Segmentation MRI segmentation +1

Probabilistic representation and inverse design of metamaterials based on a deep generative model with semi-supervised learning strategy

2 code implementations30 Jan 2019 Wei Ma, Feng Cheng, Yihao Xu, Qinlong Wen, Yongmin Liu

To better unveil this implicit relationship and thus facilitate metamaterial design, we propose to represent metamaterials and model the inverse design problem in a probabilistically generative manner.

Optics

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