6 citations · 8 across the 6 of their papers we have counts for
6 papers
Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models
Ziyao Tang, Pengkun Jiao, Bin Zhu +3
Video Large Language Models (Vid-LLMs) have demonstrated remarkable performance in video understanding tasks, yet their robustness under conversational interaction remains largely…
Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion
Huiyan Qi, Bin Zhu, Chong-Wah Ngo +2
Nutrition estimation is an important component of promoting healthy eating and mitigating diet-related health risks. Despite advances in tasks such as food classification and ingre…
Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models
Bin Zhu, Yinxuan Gui, Huiyan Qi +3
Multimodal Large Language Models (MLLMs) have exhibited remarkable advancements in integrating different modalities, excelling in complex understanding and generation tasks. Despit…
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
Yuehao Yin, Huiyan Qi, Bin Zhu +3
Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from sat…
Transferability Estimation Based On Principal Gradient Expectation
Huiyan Qi, Lechao Cheng, Jingjing Chen +4
Transfer learning aims to improve the performance of target tasks by transferring knowledge acquired in source tasks. The standard approach is pre-training followed by fine-tuning…
Combating Noisy Labels in Long-Tailed Image Classification
Chaowei Fang, Lechao Cheng, Huiyan Qi +1
Most existing methods that cope with noisy labels usually assume that the class distributions are well balanced, which has insufficient capacity to deal with the practical scenario…