45 citations · 70 across the 23 of their papers we have counts for
25 papers
Music-to-Dance Generation via Atomic Movements
Xinhao Cai, Yixuan Sun, Minghang Zheng +4
Music-driven dance generation aims to produce human motion that is both rhythmically synchronized and semantically consistent with music. While recent neural approaches have achiev…
Taming I2V models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework
Jiayi Gao, Qingchao Chen, Yuxin Peng +1
Current image editing methods excel at static attributes but fail at complex Human-Object Interactions (HOI), a critical challenge unaddressed by existing benchmarks that conflate…
Towards 3D heart mesh generation using contactless radar imaging and physics-informed neural network
Jinye Li, Chenxi Fu, Minghang Zheng +3
Cardiac function evaluation necessitates continuous, non-invasive monitoring, a capability limited in MRI. Millimeter-wave (mmWave) radar and its Synthetic Aperture Radar (SAR) mod…
DGHMesh: A Large-scale Dual-radar mmWave Dataset and Generalization-focused Benchmark for Human Mesh Reconstruction
Rongxiao Guo, Qingchao Chen
Millimeter-wave (mmWave) radar has shown great potential for contactless, privacy-preserving, and robust human sensing, yet existing mmWave-based human mesh reconstruction (HMR) st…
Identity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement
Jiayi Gao, Changcheng Hua, Qingchao Chen +2
Identity-preserving text-to-video (IPT2V) generation creates videos faithful to both a reference subject image and a text prompt. While fine-tuning large pretrained video diffusion…
Investigating Domain Gaps for Indoor 3D Object Detection
Zijing Zhao, Zhu Xu, Qingchao Chen +2
As a fundamental task for indoor scene understanding, 3D object detection has been extensively studied, and the accuracy on indoor point cloud data has been substantially improved.…
CubeDN: Real-time Drone Detection in 3D Space from Dual mmWave Radar Cubes
Yuan Fang, Fangzhan Shi, Xijia Wei +3
As drone use has become more widespread, there is a critical need to ensure safety and security. A key element of this is robust and accurate drone detection and localization. Whil…
Advancing 3D Scene Understanding with MV-ScanQA Multi-View Reasoning Evaluation and TripAlign Pre-training Dataset
Wentao Mo, Qingchao Chen, Yuxin Peng +2
The advancement of 3D vision-language (3D VL) learning is hindered by several limitations in existing 3D VL datasets: they rarely necessitate reasoning beyond a close range of obje…
TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring
Zhu Xu, Ting Lei, Zhimin Li +4
Dynamic Scene Graph Generation (DSGG) aims to create a scene graph for each video frame by detecting objects and predicting their relationships. Weakly Supervised DSGG (WS-DSGG) re…
Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration
Ting Lei, Shaofeng Yin, Qingchao Chen +2
Open Vocabulary Human-Object Interaction (HOI) detection aims to detect interactions between humans and objects while generalizing to novel interaction classes beyond the training…
scDD: Latent Codes Based scRNA-seq Dataset Distillation with Foundation Model Knowledge
Zhen Yu, Jianan Han, Yang Liu +1
Single-cell RNA sequencing (scRNA-seq) technology has profiled hundreds of millions of human cells across organs, diseases, development and perturbations to date. However, the high…
ResVG: Enhancing Relation and Semantic Understanding in Multiple Instances for Visual Grounding
Minghang Zheng, Jiahua Zhang, Qingchao Chen +2
Visual grounding aims to localize the object referred to in an image based on a natural language query. Although progress has been made recently, accurately localizing target objec…
Training-free Video Temporal Grounding using Large-scale Pre-trained Models
Minghang Zheng, Xinhao Cai, Qingchao Chen +2
Video temporal grounding aims to identify video segments within untrimmed videos that are most relevant to a given natural language query. Existing video temporal localization mode…
3D Vision and Language Pretraining with Large-Scale Synthetic Data
Dejie Yang, Zhu Xu, Wentao Mo +3
3D Vision-Language Pre-training (3D-VLP) aims to provide a pre-train model which can bridge 3D scenes with natural language, which is an important technique for embodied intelligen…
OED: Towards One-stage End-to-End Dynamic Scene Graph Generation
Guan Wang, Zhimin Li, Qingchao Chen +1
Dynamic Scene Graph Generation (DSGG) focuses on identifying visual relationships within the spatial-temporal domain of videos. Conventional approaches often employ multi-stage pip…
Progressive trajectory matching for medical dataset distillation
Zhen Yu, Yang Liu, Qingchao Chen
It is essential but challenging to share medical image datasets due to privacy issues, which prohibit building foundation models and knowledge transfer. In this paper, we propose a…
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory
Ting Lei, Fabian Caba, Qingchao Chen +3
Human Object Interaction (HOI) detection aims to localize and infer the relationships between a human and an object. Arguably, training supervised models for this task from scratch…
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
Yinsong Xu, Aidong Men, Yang Liu +2
In deep learning, initializing models with pre-trained weights has become the de facto practice for various downstream tasks. Many unsupervised domain adaptation (UDA) methods typi…
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation
Jiangbo Pei, Zhuqing Jiang, Aidong Men +3
Source-free unsupervised domain adaptation (SFUDA) aims to learn a target domain model using unlabeled target data and the knowledge of a well-trained source domain model. Most pre…
Delving into the Continuous Domain Adaptation
Yinsong Xu, Zhuqing Jiang, Aidong Men +2
Existing domain adaptation methods assume that domain discrepancies are caused by a few discrete attributes and variations, e.g., art, real, painting, quickdraw, etc. We argue that…
Seeing your sleep stage: cross-modal distillation from EEG to infrared video
Jianan Han, Shaoxing Zhang, Aidong Men +4
It is inevitably crucial to classify sleep stage for the diagnosis of various diseases. However, existing automated diagnosis methods mostly adopt the "gold-standard" lectroencepha…
Wi-Fi Based Passive Human Motion Sensing for In-Home Healthcare Applications
Bo Tan, Alison Burrows, Robert Piechocki +3
This paper introduces a Wi-Fi signal based passive wireless sensing system that has the capability to detect diverse indoor human movements, from whole body motions to limb movemen…
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
Qianye Yang, Yunguan Fu, Francesco Giganti +6
Morphological analysis of longitudinal MR images plays a key role in monitoring disease progression for prostate cancer patients, who are placed under an active surveillance progra…
Exploiting WiFi Channel State Information for Residential Healthcare Informatics
Bo Tan, Qingchao Chen, Kevin Chetty +3
Detection and interpretation of human activities have emerged as a challenging healthcare problem in areas such as assisted living and remote monitoring. Besides traditional approa…