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Jiaying Ying

7 accepted papers

2026

IVQA-LD: Inclusive Multimodal Understanding for Population with Limb-Deficiency

ICML 2026poster

People with limb differences often face significant challenges in accessing inclusive AI services, largely due to the lack of structured, high-quality resources centered on disability contexts. In this work, we introduce a limb-deficiency aware body-centric learning and evaluation paradigm that invo…

Cited by 0SourceScholar
2026

InclusiveVidPose: Bridging the Pose Estimation Gap for Individuals with Limb Deficiencies in Video-Based Motion

ICLR 2026poster

Approximately 445.2 million individuals worldwide are living with traumatic amputations, and an estimated 31.64 million children aged 0–14 have congenital limb differences, yet they remain largely underrepresented in human pose estimation (HPE) research. Accurate HPE could significantly benefit this…

Cited by 0SourcecodeScholar
2026

Position: Human-Centric Vision Requires Topological Generalization Beyond Fixed Skeletal Topologies

ICML 2026poster

In this position paper, we argue that human-centric vision requires skeletal-topology generalization beyond fixed skeletons. Mainstream pose and body pipelines enforce a fixed skeleton graph with an indexed joint list and fixed adjacency, so the fixed joint inventory does not cover structural absenc…

Cited by 0SourceScholar
2026

ResiHMR: Residual-Limb Aware Single-Image 3D Human Mesh Recovery for Individuals with Limb Loss

CVPR 2026

Single-image human mesh recovery provides a compact 3D, person-centric representation that supports analysis, animation, AR and VR, rehabilitation, and human-computer interaction. However, prevailing systems impose an intact-limb prior and degrade on people with limb loss, because fixed-topology mod

Cited by 0SourceScholar
2025

3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views

ICCV 2025poster

3D cars are widely used in self-driving systems, virtual and augmented reality, and gaming applications. However, existing 3D car datasets are either synthetic or low-quality, limiting their practical utility and leaving a significant gap with the high-quality real-world 3D car dataset. In this pape…

Cited by 0SourcePDFScholar
2025

LDPose: Towards Inclusive Human Pose Estimation for Limb-Deficient Individuals in the Wild

ICCV 2025poster

Human pose estimation aims to predict the location of body keypoints and enable various practical applications. However, existing research focuses solely on individuals with full physical bodies and overlooks those with limb deficiencies. As a result, current pose estimation methods cannot be genera…

Cited by 0SourcePDFScholar
2024

MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset

NeurIPS 2024poster

Isolated Sign Language Recognition (ISLR) focuses on identifying individual sign language glosses. Considering the diversity of sign languages across geographical regions, developing region-specific ISLR datasets is crucial for supporting communication and research. Auslan, as a sign language specif…

Cited by 0SourcePDFScholar