8 citations · 8 across the 7 of their papers we have counts for
7 papers
DEFT-LLM: Disentangled Expert Feature Tuning for Micro-Expression Recognition
Ren Zhang, Huilai Li, Chao qi +4
Micro expression recognition (MER) is crucial for inferring genuine emotion. Applying a multimodal large language model (MLLM) to this task enables spatio-temporal analysis of faci…
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
Chao Qi, Jianqin Yin, Ren Zhang
Image-point class incremental learning helps the 3D-points-vision robots continually learn category knowledge from 2D images, improving their perceptual capability in dynamic envir…
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Chao Qi, Jianqin Yin, Meng Chen +2
Existing class-incremental learning methods in 3D point clouds rely on exemplars (samples of former classes) to resist the catastrophic forgetting of models, and exemplar-free sett…
Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation
Meng Chen, Jiawei Tu, Chao Qi +4
The significant advancements in embodied vision navigation have raised concerns about its susceptibility to adversarial attacks exploiting deep neural networks. Investigating the a…
Micro-expression recognition based on depth map to point cloud
Ren Zhang, Jianqin Yin, Chao Qi +3
Micro-expressions are nonverbal facial expressions that reveal the covert emotions of individuals, making the micro-expression recognition task receive widespread attention. Howeve…
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows
Chao Qi, Jianqin Yin, Jinghang Xu +1
This work introduces a new task of instance-incremental scene graph generation: Given a scene of the point cloud, representing it as a graph and automatically increasing novel inst…
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds
Chao Qi, Jianqin Yin
Uncertainty-aware semantic segmentation of the point clouds includes the predictive uncertainty estimation and the uncertainty-guided model optimization. One key challenge in the t…