Bin Zhu

According to our database, Bin Zhu authored at least 32 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling.

Jingru Duan, Yanbin Hao, Bin Zhu, Lechao Cheng, Pengyuan Zhou, Xiang Wang

IEEE Trans. Multim., 2024

RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models.

Pengkun Jiao, Xinlan Wu, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yugang Jiang

CoRR, 2024

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models.

Ouxiang Li, Yanbin Hao, Zhicai Wang, Bin Zhu, Shuo Wang, Zaixi Zhang, Fuli Feng

CoRR, 2024

From Canteen Food to Daily Meals: Generalizing Food Recognition to More Practical Scenarios.

Guoshan Liu, Yang Jiao, Jingjing Chen, Bin Zhu, Yu-Gang Jiang

CoRR, 2024

Video Editing for Video Retrieval.

Bin Zhu, Kevin Flanagan, Adriano Fragomeni, Michael Wray, Dima Damen

CoRR, 2024

Navigating Weight Prediction with Diet Diary.

Yinxuan Gui, Bin Zhu, Jingjing Chen, Chong Wah Ngo, Yu-Gang Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective.

Fangzhou Song, Bin Zhu, Yanbin Hao, Shuo Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

On the Vulnerability of Safety Alignment in Open-Access LLMs.

Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

FoodLMM: A Versatile Food Assistant using Large Multi-modal Model.

Yuehao Yin, Huiyan Qi, Bin Zhu, Jingjing Chen, Yu-Gang Jiang, Chong-Wah Ngo

CoRR, 2023

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.

Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu

CoRR, 2023

CAR: Consolidation, Augmentation and Regulation for Recipe Retrieval.

Fangzhou Song, Bin Zhu, Yanbin Hao, Shuo Wang, Xiangnan He

CoRR, 2023

Cross-domain Food Image-to-Recipe Retrieval by Weighted Adversarial Learning.

Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Wing-Kwong Chan

CoRR, 2023

CgT-GAN: CLIP-guided Text GAN for Image Captioning.

Jiarui Yu, Haoran Li, Yanbin Hao, Bin Zhu, Tong Xu, Xiangnan He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

UA-FedRec: Untargeted Attack on Federated News Recommendation.

Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedDefender: Client-Side Attack-Tolerant Federated Learning.

Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.

Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.

Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning From Web Recipe-Image Pairs for Food Recognition: Problem, Baselines and Performance.

Bin Zhu, Chong-Wah Ngo, Wing Kwong Chan

IEEE Trans. Multim., 2022

Text-driven Video Prediction.

Xue Song, Jingjing Chen, Bin Zhu, Yu-Gang Jiang

CoRR, 2022

Robust Quantity-Aware Aggregation for Federated Learning.

Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie

CoRR, 2022

UA-FedRec: Untargeted Attack on Federated News Recommendation.

Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie

CoRR, 2022

EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations.

Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard E. L. Higgins, Sanja Fidler, David Fouhey, Dima Damen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mix-DANN and Dynamic-Modal-Distillation for Video Domain Adaptation.

Yuehao Yin, Bin Zhu, Jingjing Chen, Lechao Cheng, Yu-Gang Jiang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Unsupervised Video Hashing with Multi-granularity Contextualization and Multi-structure Preservation.

Yanbin Hao, Jingru Duan, Hao Zhang, Bin Zhu, Pengyuan Zhou, Xiangnan He

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Cross-lingual Adaptation for Recipe Retrieval with Mixup.

Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Wing Kwong Chan

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

2021

Learning to Match Anchor-Target Video Pairs With Dual Attentional Holographic Networks.

Yanbin Hao, Chong-Wah Ngo, Bin Zhu

IEEE Trans. Image Process., 2021

A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition.

Jingjing Chen, Bin Zhu, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang

IEEE Trans. Image Process., 2021

Pyramid Fusion Dark Channel Prior for Single Image Dehazing.

Qiyuan Liang, Bin Zhu, Chong-Wah Ngo

CoRR, 2021

2020

Cross-domain Cross-modal Food Transfer.

Bin Zhu, Chong-Wah Ngo, Jingjing Chen

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Person-level Action Recognition in Complex Events via TSD-TSM Networks.

Yanbin Hao, Zi-Niu Liu, Hao Zhang, Bin Zhu, Jingjing Chen, Yu-Gang Jiang, Chong-Wah Ngo

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CookGAN: Causality Based Text-to-Image Synthesis.

Bin Zhu, Chong-Wah Ngo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network.

Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Yanbin Hao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019