activity
20202023
most citedSemi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment

28 citations · 32 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023

3D-Aware Talking-Head Video Motion Transfer

Haomiao Ni, Jiachen Liu, Yuan Xue +1

Motion transfer of talking-head videos involves generating a new video with the appearance of a subject video and the motion pattern of a driving video. Current methodologies prima…

cs.CV2023★ 1 cited

Synthetic Augmentation with Large-scale Unconditional Pre-training

Jiarong Ye, Haomiao Ni, Peng Jin +2

Deep learning based medical image recognition systems often require a substantial amount of training data with expert annotations, which can be expensive and time-consuming to obta…

cs.CV2023

Exploring Compositional Visual Generation with Latent Classifier Guidance

Changhao Shi, Haomiao Ni, Kai Li +3

Diffusion probabilistic models have achieved enormous success in the field of image generation and manipulation. In this paper, we explore a novel paradigm of using the diffusion m…

cs.CV2023★ 1 cited

Conditional Image-to-Video Generation with Latent Flow Diffusion Models

Haomiao Ni, Changhao Shi, Kai Li +2

Conditional image-to-video (cI2V) generation aims to synthesize a new plausible video starting from an image (e.g., a person's face) and a condition (e.g., an action class label li…

cs.CV2022★ 28 cited

Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment

Haomiao Ni, Yuan Xue, Liya Ma +3

General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for early detection of cerebral palsy (CP) in infants. We demonstrate in this paper that e…

cs.CV2022★ 1 cited

Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis

Haomiao Ni, Yihao Liu, Sharon X. Huang +1

In this paper, we propose a novel dual-branch Transformation-Synthesis network (TS-Net), for video motion retargeting. Given one subject video and one driving video, TS-Net can pro…

eess.IV2022

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Haomiao Ni, Yuan Xue, Kelvin Wong +4

Accurate infarct segmentation in non-contrast CT (NCCT) images is a crucial step toward computer-aided acute ischemic stroke (AIS) assessment. In clinical practice, bilateral symme…

cs.CV2021★ 1 cited

DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning

Tongan Cai, Haomiao Ni, Mingli Yu +5

In an emergency room (ER) setting, stroke triage or screening is a common challenge. A quick CT is usually done instead of MRI due to MRI's slow throughput and high cost. Clinical…

cs.CV2020

SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos

Haomiao Ni, Yuan Xue, Qian Zhang +1

General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for the early detection of cerebral palsy (CP) in infants. Automated body parsing is a cru…