9 citations · 22 across the 7 of their papers we have counts for
6 papers · 1 filter
ReactMotion: Generating Reactive Listener Motions from Speaker Utterance
Cheng Luo, Bizhu Wu, Bing Li +5
In this paper, we introduce a new task, Reactive Listener Motion Generation from Speaker Utterance, which aims to generate naturalistic listener body motions that appropriately res…
LabelGS: Label-Aware 3D Gaussian Splatting for 3D Scene Segmentation
Yupeng Zhang, Dezhi Zheng, Ping Lu +8
3D Gaussian Splatting (3DGS) has emerged as a novel explicit representation for 3D scenes, offering both high-fidelity reconstruction and efficient rendering. However, 3DGS lacks 3…
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
Xilin He, Cheng Luo, Xiaole Xian +8
Facial expression datasets remain limited in scale due to the subjectivity of annotations and the labor-intensive nature of data collection. This limitation poses a significant cha…
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation
Junliang Chen, Xiaodong Zhao, Cheng Luo +1
Recent mainstream weakly supervised semantic segmentation (WSSS) approaches are mainly based on Class Activation Map (CAM) generated by a CNN (Convolutional Neural Network) based i…
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo, Qinliang Lin, Weicheng Xie +3
Current adversarial attack research reveals the vulnerability of learning-based classifiers against carefully crafted perturbations. However, most existing attack methods have inhe…
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
Jinheng Xie, Cheng Luo, Xiangping Zhu +3
We present a two-stage learning framework for weakly supervised object localization (WSOL). While most previous efforts rely on high-level feature based CAMs (Class Activation Maps…