Bin Zhu

According to our database, Bin Zhu authored at least 50 papers between 2019 and 2026.

Collaborative distances:

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

2026

Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models.

Ziyao Tang, Pengkun Jiao, Bin Zhu, Huiyan Qi, Jingjing Chen, Yu-Gang Jiang

CoRR, April, 2026

SpatialImaginer: Towards Adaptive Visual Imagination for Spatial Reasoning.

Yian Li, Yang Jiao, Bin Zhu, Tianwen Qian, Shaoxiang Chen, Jingjing Chen, Yu-Gang Jiang

CoRR, April, 2026

Enhancing Action and Ingredient Modeling for Semantically Grounded Recipe Generation.

Guoshan Liu, Bin Zhu, Yian Li, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

CoRR, February, 2026

CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusion.

Yuan Wang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Yi Tan, Xiang Wang

ACM Trans. Multim. Comput. Commun. Appl., January, 2026

ThinkMatter: Panoramic-Aware Instructional Semantics for Monocular Vision-and-Language Navigation.

Guangzhao Dai, Shuo Wang, Hao Zhao, Bin Zhu, Qianru Sun, Xiangbo Shu

IEEE Trans. Image Process., 2026

Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models.

Bin Zhu, Yinxuan Gui, Huiyan Qi, Jingjing Chen, Chong-Wah Ngo, Ee-Peng Lim

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation.

Chengxi Zeng, Yuxuan Jiang, Ge Gao, Shuai Wang, Duolikun Danier, Bin Zhu, Stevan Rudinac, David Bull, Fan Zhang

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

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

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

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

OSCBench: Benchmarking Object State Change in Text-to-Video Generation.

Xianjing Han, Bin Zhu, Shiqi Hu, Franklin Mingzhe Li, Patrick Carrington, Roger Zimmermann, Jingjing Chen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward.

Jiarui Yang, Bin Zhu, Jingjing Chen, Yu-Gang Jiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CVLP-NaVD: Contrastive Visual-language Pre-training Models for Non-annotated Visual Description.

Haoran Li, Yanbin Hao, Jiarui Yu, Bin Zhu, Shuo Wang, Tong Xu

ACM Trans. Multim. Comput. Commun. Appl., November, 2025

Dual-LoRA and Quality-Enhanced Pseudo Replay for Multimodal Continual Food Learning.

Xinlan Wu, Bin Zhu, Feng Han, Pengkun Jiao, Jingjing Chen

CoRR, November, 2025

Efficient Test-Time Retrieval Augmented Generation.

Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo

CoRR, November, 2025

Reasoning Models Are More Easily Gaslighted Than You Think.

Bin Zhu, Hailong Yin, Jingjing Chen, Yu-Gang Jiang

CoRR, June, 2025

Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs.

Pengkun Jiao, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

CoRR, April, 2025

Calling a Spade a Heart: Gaslighting Multimodal Large Language Models via Negation.

Bin Zhu, Huiyan Qi, Yinxuan Gui, Jingjing Chen, Chong-Wah Ngo, Ee-Peng Lim

CoRR, January, 2025

FoodLMM: A Versatile Food Assistant Using Large Multi-Modal Model.

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

IEEE Trans. Multim., 2025

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

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

IEEE Trans. Multim., 2025

Retrieval Augmented Recipe Generation.

Guoshan Liu, Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning.

Yian Li, Wentao Tian, Yang Jiao, Tianwen Qian, Na Zhao, Bin Zhu, Jingjing Chen, Yu-Gang Jiang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion.

Huiyan Qi, Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Ee-Peng Lim

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Efficient Prompt Tuning for Hierarchical Ingredient Recognition.

Yinxuan Gui, Bin Zhu, Jingjing Chen, Chong-Wah Ngo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning.

Pengkun Jiao, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

HD-EPIC: A Highly-Detailed Egocentric Video Dataset.

Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha, Omar Emara, Sam Pollard, Kranti Kumar Parida, Kaiting Liu, Prajwal Gatti, Siddhant Bansal, Kevin Flanagan, Jacob Chalk, Zhifan Zhu, Rhodri Guerrier, Fahd Abdelazim, Bin Zhu, Davide Moltisanti, Michael Wray, Hazel Doughty, Dima Damen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

OSCAR: Object Status and Contextual Awareness for Recipes to Support Non-Visual Cooking.

Franklin Mingzhe Li, Kaitlyn Ng, Bin Zhu, Patrick Carrington

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

Exploring Object Status Recognition for Recipe Progress Tracking in Non-Visual Cooking.

Franklin Mingzhe Li, Kaitlyn Ng, Bin Zhu, Patrick Carrington

Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility, 2025

RAGG: Retrieval-Augmented Grasp Generation Model.

Zhenhua Tang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Richang Hong

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Visual Cue Enhancement and Dual Low-Rank Adaptation for Efficient Visual Instruction Fine-Tuning.

Pengkun Jiao, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang 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

Active Object Segmentation: A New Modality for Egocentric Action Recognition.

Jian Ma, Bin Zhu, Kun Li, Dima Damen

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 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

Video Editing for Video Retrieval.

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

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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

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

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

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