5 citations · 5 across the 6 of their papers we have counts for
7 papers
Training-free Controllable Human Motion Generation under Heterogeneous Constraints
Xiaofei Hui, Bo Yan, Haoxuan Qu +2
Training-free controllable motion generation has attracted growing interest for enabling flexible constraint enforcement without constraint-specific training. However, existing tra…
Spatial-Temporal Expert Learning for Video-based Person Re-identification
Xiaofei Hui, Pengfei Wang, Evan Ling +4
Video-based person re-identification (Re-ID) aims to retrieve the same identity in the query video clips from the gallery video clips. To solve this problem, exploiting fine-graine…
MicroscopyMatching: Towards a Ready-to-use Framework for Microscopy Image Analysis in Diverse Conditions
Xiaofei Hui, Haoxuan Qu, Hossein Rahmani +3
Analyzing microscopy images to extract biological object properties (e.g., their morphological organization, temporal dynamics, and population density) is fundamental to various bi…
When Visual Privacy Protection Meets Multimodal Large Language Models
Xiaofei Hui, Qian Wu, Haoxuan Qu +3
The emergence of Multimodal Large Language Models (MLLMs) and the widespread usage of MLLM cloud services such as GPT-4V raised great concerns about privacy leakage in visual data.…
An Image-like Diffusion Method for Human-Object Interaction Detection
Xiaofei Hui, Haoxuan Qu, Hossein Rahmani +1
Human-object interaction (HOI) detection often faces high levels of ambiguity and indeterminacy, as the same interaction can appear vastly different across different human-object p…
Left-right Discrepancy for Adversarial Attack on Stereo Networks
Pengfei Wang, Xiaofei Hui, Beijia Lu +3
Stereo matching neural networks often involve a Siamese structure to extract intermediate features from left and right images. The similarity between these intermediate left-right…
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
Haoxuan Qu, Xiaofei Hui, Yujun Cai +1
Open-set object recognition aims to identify if an object is from a class that has been encountered during training or not. To perform open-set object recognition accurately, a key…