activity
20172026
most citedBIT: Biologically Inspired Tracker

47 citations · 67 across the 29 of their papers we have counts for

collaborators
Showing cs.CVShow all

10 papers · 1 filter

cs.CV2025

MimicParts: Part-aware Style Injection for Speech-Driven 3D Motion Generation

Lianlian Liu, YongKang He, Zhaojie Chu +2

Generating stylized 3D human motion from speech signals presents substantial challenges, primarily due to the intricate and fine-grained relationships among speech signals, individ…

cs.CV20241 cited

VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool

Yan Wang, Yawen Zeng, Jingsheng Zheng +3

Multimodal large language models (MLLMs) are flourishing, but mainly focus on images with less attention than videos, especially in sub-fields such as prompt engineering, video cha…

cs.CV2024

Towards Zero-shot Human-Object Interaction Detection via Vision-Language Integration

Weiying Xue, Qi Liu, Qiwei Xiong +4

Human-object interaction (HOI) detection aims to locate human-object pairs and identify their interaction categories in images. Most existing methods primarily focus on supervised…

cs.CV20243 cited

PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global Features

Baozhu Zhao, Qiwei Xiong, Xiaohan Zhang +4

Three-dimensional point cloud anomaly detection that aims to detect anomaly data points from a training set serves as the foundation for a variety of applications, including indust…

cs.CV2023

CorrTalk: Correlation Between Hierarchical Speech and Facial Activity Variances for 3D Animation

Zhaojie Chu, Kailing Guo, Xiaofen Xing +3

Speech-driven 3D facial animation is a challenging cross-modal task that has attracted growing research interest. During speaking activities, the mouth displays strong motions, whi…

cs.CV20231 cited

LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch

Pucheng Zhai, Kailing Guo, Fang Liu +2

Structured pruning is a commonly used convolutional neural network (CNN) compression approach. Pruning rate setting is a fundamental problem in structured pruning. Most existing wo…